# Modelling the Coupled and Coordinated Development between China’s Cross-border E-commerce Supply Chain and Economic System

Authors: Xinxin Li; Chunfang Zheng; Tongtong Wang
Journal: Discrete Dynamics in Nature and Society
 (2022)

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## Abstract

This study constructs a coupling model and establishes an index system for the coupled and coordinate development between cross-border e-commerce supply chain system and economic system. The index system adopts supply chain, foreign trade, e-commerce, e-commerce logistics, economic development, social consumption, talent environment, and technological innovation as sequential covariates. The calculation shows that the first three batches of 35 cross-border e-commerce comprehensive pilot areas (CBECCPA in brief) in China, in 2017, are classified into three degrees of the coupled and coordinated development: superior, good, and moderate. The study provides useful recommendations for promoting cross-border e-commerce supply chain, such as to pursue high-quality balanced development, to cultivate professional composite talents, to encourage innovation and entrepreneurship, and to create a favorable economic environment.


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## Body

## 1. Introduction

In recent years, especially since 2020, with the rapid development of cross-border e-commerce and the escalation of competition, the supply chain has gradually become the focus of competition. The cross-border e-commerce supply chain (CBECSC in brief) is flatter than that of traditional international trade. It is with a shorter supply chain cycle and involves more links, longer processes, and more complex information flows. Unlike traditional foreign trade, cross-border e-commerce has not only a B2B model for small- and medium-sized oversea retailers but also a direct-to-consumer B2C model, by which consumers can talk directly with merchants through the platform, removing some of the intermediate links of traditional international trade and achieving de-intermediation effects. Meanwhile, new types of re-intermediation services and companies have emerged in the cross-border e-commerce ecosystem, involving more links and more complex information flows. The development of CBECSC greatly depends on the development of the economic system, and it is also one of the driving forces and engines to promote the development of China’s economy. It is very important to study the coupled and coordinated development between these two to promote the synergistic development of China’s cross-border e-commerce industry and the whole economy.At present, most research studies focus on the coupled and coordinated development between the supply chain and the industrial cluster, the coupled and coordinated development between the cross-border e-commerce and economic system, and the symbiotic coupling model of cross-border e-commerce logistics industry chain. Few research studies focus on the relationship between the CBECSC and the economics system. This paper empirically studies the coupling and coordination development between the CBECSC and local economic systems, building the sequential covariate index system of the CBECSC and local economic systems, and puts forward some suggestions on ecosystem of the cross-border e-commerce and economic environment to promote CBECSC’s development.


## 2. Literature Review

Research on the relationship between CBECSC systems and economic systems: cross-border e-commerce can help cross-border e-commerce firms to ensure that cross-border e-commerce supply chains operate efficiently while at the same time meeting the dynamic needs of customers in all supply chain markets as fully as possible [1]. The growth of the e-tailing industry will have a huge impact on the spatial distribution of economic activity, requiring greater cross-regional and cross-border transport, and will also have a general impact on the global economy [2]. E-commerce could influence economy by providing the opportunities to improve customer’s experience [3]. The co-development of two important economic subsystems, cross-border e-commerce, and industrial economic clusters has a significant positive correlation [4]. Important hard environmental conditions such as current geographical advantages, natural resources, transport and traffic routes, and infrastructural support facilities, and important soft environmental conditions such as current international market maturity, rapid industry development, institutional and institutional innovation advantages, and policy measure dividends are likely to determine the future growth rate of international trade [5].Research on the factors influencing the cross-border e-commerce supply chain: with the rapid development of cross-border e-commerce, the elements that determine the competitiveness of the cross-border e-commerce industry gradually shift from commodities to supply chain levels and overall service levels. There are many factors that hinder the road to supply chain success in the retail industry [6]. Lu concluded through empirical analysis that resource integration, data analysis, information sharing, and logistics security factors are significantly associated with CBECSC efficiency [7]. Nazifa et al. emphasized the important role of information sharing in supply chain management [8]. Various factors such as international payment, economic development, trade base, logistics level, and Internet popularity will have a significant impact on the development of the cross-border e-commerce industry, and factors such as industrial investment, technological innovation, technological environment, development policies, support, and incubation will have a great impact on the development of cross-border e-commerce [9], which indirectly affects the cross-border e-commerce supply chain. Zhang et al., on the contrary, highlight three factors, namely, national policies, the penetration rate of the Internet, and the development level of logistics [10].Studies on the coupling of cross-border e-commerce supply chains and economic systems: after Qian and He studied in-depth the influencing factors of the interaction between cross-border e-commerce and cross-border logistics, they gave the categories of synergy such as environment, mechanism, relationship, capability, willingness, and expectation [11]. Zhang constructed a model of industrial selection power, resource control power, technological innovation power, market development power, and cultural cohesion power from three parts: structure, capability, and culture [12]. Liu and Chen constructed an analytical model of the synergy between e-commerce and cross-border logistics [13]. Cao and Wang stood in the industrial chain perspective and analyzed the main factors limiting the joint development of cross-border e-commerce and logistics [14]. It can be said that there are few quantitative studies that directly address the relationship between both the CBECSC system and the economic system.


## 3. Research Method

### 3.1. Modeling for the Coupling Development

The coupling method is used to quantitatively describe the degree of synergy of the elements of a system that interact with each other through the degree of coupling development, which can measure the degree of interdependence between two or more systems. A high degree of coupling allows the system to move from low-level, independent development to synergistic progressive development and from disorderly development to orderly development.The economic system is the basis for the overall development of China’s CBECSC and even cross-border e-commerce, while the development of the CBECSC will in turn further promote the development of the entire economic system. The two systems continuously interact and coordinate with each other, and various elements such as resources, information, and talents continuously interact, showing the characteristics and trends of synergistic development, forming a coupled system that mutually influences and promotes each other. Based on the relevant literature, this study constructs a coupling model between the CBECSC system and the economic system, as shown in Figure1.Figure 1
Coupling model between CBECSC system and economic system.The CBECSC system consists of supply chain, foreign trade, e-commerce, and e-commerce logistics. Economic development, social consumption, talent environment, and technological innovation in the economic system are in turn closely linked to the cross-border e-commerce supply chain. In the CBECSC system, the supply chain industry is the core of the whole system operation; the level of foreign trade plays a decisive role in the development potential of the cross-border e-commerce supply chain; e-commerce is an important foundation and e-commerce logistics is the most critical support of the cross-border e-commerce supply chain. In the economic system, the level of economic development is the foundation, while social consumption capacity will directly affect the extent to which the CBECSC can play a role, and the talent environment and technological innovation are important factors that provide the core driving force for the sustainable development of the cross-border e-commerce supply chain.


#### 3.1.1. Building the Sequential Covariate Index System of CBECSC

A perfect CBECSC is a strong guarantee for the development of the cross-border e-commerce industry. In addition to completing the duties of warehousing and logistics, express delivery, etc., it is also necessary to make rapid adjustments according to the market situation, which is conducive to coping with the uncertainty of the international economic environment, such as the ability to quickly resume work and production when encountering unexpected situations such as epidemics to ensure supply.Combined with the available data, the following four indicators are selected to reflect the CBECSC system. (1) the supply chain scale of the city where a CBECCPA locates is expressed by the sequential covariate of supply chain, which is measured by the total express revenue of the city. (2) The foreign trade level of the city where a CBECCPA locates is expressed by the foreign trade sequential covariate, which is measured by two indicators: trade base is reflected by the import and export scale of the city, and trade radiation effect is reflected by the import and export scale of the province in which the CBECCPA locates. (3) The technical basis of cross-border e-commerce platform development is reflected by e-commerce sequential covariates, including three indicators of e-commerce development, e-commerce scale, and e-commerce penetration. (4) The distribution capacity of cross-border e-commerce logistics in a CBECCPA is expressed by e-commerce logistics sequential covariate. Cross-border e-commerce logistics undertakes the task of commodity delivery transfer, which is more complex compared with domestic logistics. The freight volume, express business volume, and logistics practitioners can reflect the logistics infrastructure and distribution capacity of a region. Considering the integrity of the data, this paper selects two measures of logistics employment and road freight volume, where the indicator of logistics employment connotes the number of employees in urban transportation, transportation, and storage and postal industries in the city where a CBECCPA locates, see Table1.Table 1
Sequential covariate index system of the CBECSC system.
Sequence covariatesSecondary indicatorsContent of the indicatorUnit of measureSupply chainsLogistics revenueTotal express revenue in the city1100 million yuanForeign tradeTrade baseTotal city imports and exports in the city1US$100 millionTrade radiation effectTotal exports and imports in the provinces driven2US$100 millionE-commerceE-commerce developmentE-commerce development index of the city3—E-commerce scaleE-commerce scale index of the city3—E-commerce penetrationE-commerce penetration index of the city3—E-commerce logisticsLogistics employmentNumber of people employed in urban transport, storage and postal services in the city1PersonRoad freight volumeUrban road freight volume in the city1Ten thousand tonsData sources:1, 2018 statistical yearbook by cities; 2, 2018 statistical yearbook by provinces; 3, China e-commerce development index report (2017); 4, 2017 most attractive cities for talents and related data compilation; 5, 2017 national statistical bulletin on science and technology funding inputs.Since 2013, China’s Cross-border e-commerce industry has developed rapidly, but it greatly relies on the support of the economic system. At the same time, the cross-border e-commerce talent gap is expanding. At present, the construction of cross-border e-commerce majors in colleges and universities are just getting started, most of them still only use cross-border e-commerce as a small part of the curriculum of trade and other majors. To maintain the sustainable development of the cross-border e-commerce supply chain, the problem of insufficient supply of compound-type high-quality talents needs to be solved urgently. In addition, in the era of digital economy, technological innovation is the core of all development. Only by continuously and deeply developing the innovation system can we enhance the sustainability of CBECSC development in the cities where CBECCPAs locate.


#### 3.1.2. Building the Sequential Covariate Index System of Economic System

In this study, the following four indicators are selected to reflect the economic system. (1) The economic development sequential covariate reflects the economic basis of cross-border e-commerce development in the cities where CBECCPAs locate by two secondary indicators of economic scale and economic structure. (2) The consumption capacity of the city where a CBECCPA is reflected by the secondary indicators of disposable income and consumption expenditure of the social consumption sequential covariate. (3) The talent environment reflects the driving force for the optimal development of cross-border e-commerce supply chain, including the talent cultivation ability and talent attraction ability of the cities where CBECCPAs locate, among which the talent cultivation ability is measured by the education expenditure of the city where CBECCPA locates. (4) Technological innovation sequential covariates mainly include three indicators: R&D investment, R&D intensity, and science and technology expenditure, where R&D investment and R&D intensity are those of the province where a CBECCPA locates, and science and technology expenditure is that of the city where CBECCPA locates, see Table2.Table 2
Sequential covariate index system of the economic system.
Sequence covariatesSecondary indicatorsContent of the indicatorUnit of measureEconomic developmentSize of the economyGDP of the city1100 million yuanEconomic structureShare of the tertiary sector in the city’s GDP1%Social consumptionDisposable incomePer capital disposable income of urban residents in the corresponding province2YuanConsumer spendingPer capital consumption expenditure of urban residents in the corresponding province2YuanTalent environmentTalent developmentEducation expenditure in the city1Ten thousand yuanTalent attractionTalent attraction index of the city4—Technological innovationR&D inputTotal R&D investment in the corresponding province5100 million yuanR&D intensityR&D investment intensity of the corresponding province5%Science and technology expenditureScience and technology expenditures in the city1Ten thousand yuanData sources:1, 2018 statistical yearbook by cities; 2, 2018 statistical yearbook by provinces; 3, China e-commerce development index report (2017); 4, 2017 most attractive cities for talents and related data compilation; 5, 2017 national statistical bulletin on science and technology funding inputs.


### 3.2. Measuring the Coupling Coordination

At present, there are 105 CBECCPAs in China, covering 30 provinces and cities. In this study, we select relevant data in 2017 from the 35 cities where the first three batches of CBECCPAs locate in China. After standardization, we measure the orderliness of 17 secondary indicators of CBECSC system and economic system and measure the degree of coupled development between CBECSC and economic system.


#### 3.2.1. Data Standardization

Since the units and quantitative levels of the selected indicators are different, the data were first processed using the z-score data normalization method in order to conduct a valid study.The original data sequencex1, x2, …, xn is transformed with the formula:(1)yi=xi−x¯s,where x¯=1/n∑i=1nxi and s=1/n−1∑i=1nxi−x¯2, and the transformed new sequence y1, y2, …, yn has mean 0 and variance 1 and is dimensionless.Using the same method to standardizex11, x12, …, xij, we obtain y11, y12, …, yij, where i is a secondary indicator and j is the city, where the CBECCPA locates.


#### 3.2.2. Orderliness of Sequential Covariates

The following efficacy functions are established to measure the orderliness of each sequential covariate so that the orderliness of the whole system can be further calculated and analyzed:(2)fs=1k∑i=1k135∑j=135yij,where k is the number of secondary indicators for a given sequential covariate and s is the sequential covariate number.Whenfs is a positive indicator, a higher value indicates a higher degree of order. When fs is a negative indicator, a larger value indicates a lower degree of order.


#### 3.2.3. System Orderliness

The average of the orderliness of its own sequential covariates is taken as the orderliness of the cross-border e-commerce system:(3)F1=∑s=14fs.The average of the orderliness of its own sequential covariates is taken as the orderliness of the economic system:(4)F2=∑s=58fs.


#### 3.2.4. Degree of System Coupling Development

The degree of coupling development can reflect the degree of coordinated development of CBECSC and economic system at a point in time. The degree of coupling development between the CBECSC system and the economic system is derived according to the following formula:(5)F=2F1F2F1+F221/2,where F∈0,1. The larger the value of F is, the higher the degree of coupled and coordinated development of the two systems is. In this study, the coupled and coordinated development degree is divided into 10 levels, see Table 3.Table 3
Evaluation criteria for the degree of the coupled and coordinated development.
LevelCoupling coordination typeCoupling coordination valueLevelCoupling coordination typeCoupling coordination value1State of extreme dysfunction0.00–0.106Barely coordinated coupling0.50–0.552State of severe dysfunction0.10–0.207Primary coordination coupling0.55–0.603Moderate disorder0.20–0.308Intermediate coordination coupling0.60–0.654Mildly disorder0.30–0.409Well-coordinated coupling0.65–0.705On the verge of dysfunctional0.40–0.5010Quality coordination coupling0.70–1.00


## 3.1. Modeling for the Coupling Development

The coupling method is used to quantitatively describe the degree of synergy of the elements of a system that interact with each other through the degree of coupling development, which can measure the degree of interdependence between two or more systems. A high degree of coupling allows the system to move from low-level, independent development to synergistic progressive development and from disorderly development to orderly development.The economic system is the basis for the overall development of China’s CBECSC and even cross-border e-commerce, while the development of the CBECSC will in turn further promote the development of the entire economic system. The two systems continuously interact and coordinate with each other, and various elements such as resources, information, and talents continuously interact, showing the characteristics and trends of synergistic development, forming a coupled system that mutually influences and promotes each other. Based on the relevant literature, this study constructs a coupling model between the CBECSC system and the economic system, as shown in Figure1.Figure 1
Coupling model between CBECSC system and economic system.The CBECSC system consists of supply chain, foreign trade, e-commerce, and e-commerce logistics. Economic development, social consumption, talent environment, and technological innovation in the economic system are in turn closely linked to the cross-border e-commerce supply chain. In the CBECSC system, the supply chain industry is the core of the whole system operation; the level of foreign trade plays a decisive role in the development potential of the cross-border e-commerce supply chain; e-commerce is an important foundation and e-commerce logistics is the most critical support of the cross-border e-commerce supply chain. In the economic system, the level of economic development is the foundation, while social consumption capacity will directly affect the extent to which the CBECSC can play a role, and the talent environment and technological innovation are important factors that provide the core driving force for the sustainable development of the cross-border e-commerce supply chain.


### 3.1.1. Building the Sequential Covariate Index System of CBECSC

A perfect CBECSC is a strong guarantee for the development of the cross-border e-commerce industry. In addition to completing the duties of warehousing and logistics, express delivery, etc., it is also necessary to make rapid adjustments according to the market situation, which is conducive to coping with the uncertainty of the international economic environment, such as the ability to quickly resume work and production when encountering unexpected situations such as epidemics to ensure supply.Combined with the available data, the following four indicators are selected to reflect the CBECSC system. (1) the supply chain scale of the city where a CBECCPA locates is expressed by the sequential covariate of supply chain, which is measured by the total express revenue of the city. (2) The foreign trade level of the city where a CBECCPA locates is expressed by the foreign trade sequential covariate, which is measured by two indicators: trade base is reflected by the import and export scale of the city, and trade radiation effect is reflected by the import and export scale of the province in which the CBECCPA locates. (3) The technical basis of cross-border e-commerce platform development is reflected by e-commerce sequential covariates, including three indicators of e-commerce development, e-commerce scale, and e-commerce penetration. (4) The distribution capacity of cross-border e-commerce logistics in a CBECCPA is expressed by e-commerce logistics sequential covariate. Cross-border e-commerce logistics undertakes the task of commodity delivery transfer, which is more complex compared with domestic logistics. The freight volume, express business volume, and logistics practitioners can reflect the logistics infrastructure and distribution capacity of a region. Considering the integrity of the data, this paper selects two measures of logistics employment and road freight volume, where the indicator of logistics employment connotes the number of employees in urban transportation, transportation, and storage and postal industries in the city where a CBECCPA locates, see Table1.Table 1
Sequential covariate index system of the CBECSC system.
Sequence covariatesSecondary indicatorsContent of the indicatorUnit of measureSupply chainsLogistics revenueTotal express revenue in the city1100 million yuanForeign tradeTrade baseTotal city imports and exports in the city1US$100 millionTrade radiation effectTotal exports and imports in the provinces driven2US$100 millionE-commerceE-commerce developmentE-commerce development index of the city3—E-commerce scaleE-commerce scale index of the city3—E-commerce penetrationE-commerce penetration index of the city3—E-commerce logisticsLogistics employmentNumber of people employed in urban transport, storage and postal services in the city1PersonRoad freight volumeUrban road freight volume in the city1Ten thousand tonsData sources:1, 2018 statistical yearbook by cities; 2, 2018 statistical yearbook by provinces; 3, China e-commerce development index report (2017); 4, 2017 most attractive cities for talents and related data compilation; 5, 2017 national statistical bulletin on science and technology funding inputs.Since 2013, China’s Cross-border e-commerce industry has developed rapidly, but it greatly relies on the support of the economic system. At the same time, the cross-border e-commerce talent gap is expanding. At present, the construction of cross-border e-commerce majors in colleges and universities are just getting started, most of them still only use cross-border e-commerce as a small part of the curriculum of trade and other majors. To maintain the sustainable development of the cross-border e-commerce supply chain, the problem of insufficient supply of compound-type high-quality talents needs to be solved urgently. In addition, in the era of digital economy, technological innovation is the core of all development. Only by continuously and deeply developing the innovation system can we enhance the sustainability of CBECSC development in the cities where CBECCPAs locate.


### 3.1.2. Building the Sequential Covariate Index System of Economic System

In this study, the following four indicators are selected to reflect the economic system. (1) The economic development sequential covariate reflects the economic basis of cross-border e-commerce development in the cities where CBECCPAs locate by two secondary indicators of economic scale and economic structure. (2) The consumption capacity of the city where a CBECCPA is reflected by the secondary indicators of disposable income and consumption expenditure of the social consumption sequential covariate. (3) The talent environment reflects the driving force for the optimal development of cross-border e-commerce supply chain, including the talent cultivation ability and talent attraction ability of the cities where CBECCPAs locate, among which the talent cultivation ability is measured by the education expenditure of the city where CBECCPA locates. (4) Technological innovation sequential covariates mainly include three indicators: R&D investment, R&D intensity, and science and technology expenditure, where R&D investment and R&D intensity are those of the province where a CBECCPA locates, and science and technology expenditure is that of the city where CBECCPA locates, see Table2.Table 2
Sequential covariate index system of the economic system.
Sequence covariatesSecondary indicatorsContent of the indicatorUnit of measureEconomic developmentSize of the economyGDP of the city1100 million yuanEconomic structureShare of the tertiary sector in the city’s GDP1%Social consumptionDisposable incomePer capital disposable income of urban residents in the corresponding province2YuanConsumer spendingPer capital consumption expenditure of urban residents in the corresponding province2YuanTalent environmentTalent developmentEducation expenditure in the city1Ten thousand yuanTalent attractionTalent attraction index of the city4—Technological innovationR&D inputTotal R&D investment in the corresponding province5100 million yuanR&D intensityR&D investment intensity of the corresponding province5%Science and technology expenditureScience and technology expenditures in the city1Ten thousand yuanData sources:1, 2018 statistical yearbook by cities; 2, 2018 statistical yearbook by provinces; 3, China e-commerce development index report (2017); 4, 2017 most attractive cities for talents and related data compilation; 5, 2017 national statistical bulletin on science and technology funding inputs.


## 3.1.1. Building the Sequential Covariate Index System of CBECSC

A perfect CBECSC is a strong guarantee for the development of the cross-border e-commerce industry. In addition to completing the duties of warehousing and logistics, express delivery, etc., it is also necessary to make rapid adjustments according to the market situation, which is conducive to coping with the uncertainty of the international economic environment, such as the ability to quickly resume work and production when encountering unexpected situations such as epidemics to ensure supply.Combined with the available data, the following four indicators are selected to reflect the CBECSC system. (1) the supply chain scale of the city where a CBECCPA locates is expressed by the sequential covariate of supply chain, which is measured by the total express revenue of the city. (2) The foreign trade level of the city where a CBECCPA locates is expressed by the foreign trade sequential covariate, which is measured by two indicators: trade base is reflected by the import and export scale of the city, and trade radiation effect is reflected by the import and export scale of the province in which the CBECCPA locates. (3) The technical basis of cross-border e-commerce platform development is reflected by e-commerce sequential covariates, including three indicators of e-commerce development, e-commerce scale, and e-commerce penetration. (4) The distribution capacity of cross-border e-commerce logistics in a CBECCPA is expressed by e-commerce logistics sequential covariate. Cross-border e-commerce logistics undertakes the task of commodity delivery transfer, which is more complex compared with domestic logistics. The freight volume, express business volume, and logistics practitioners can reflect the logistics infrastructure and distribution capacity of a region. Considering the integrity of the data, this paper selects two measures of logistics employment and road freight volume, where the indicator of logistics employment connotes the number of employees in urban transportation, transportation, and storage and postal industries in the city where a CBECCPA locates, see Table1.Table 1
Sequential covariate index system of the CBECSC system.
Sequence covariatesSecondary indicatorsContent of the indicatorUnit of measureSupply chainsLogistics revenueTotal express revenue in the city1100 million yuanForeign tradeTrade baseTotal city imports and exports in the city1US$100 millionTrade radiation effectTotal exports and imports in the provinces driven2US$100 millionE-commerceE-commerce developmentE-commerce development index of the city3—E-commerce scaleE-commerce scale index of the city3—E-commerce penetrationE-commerce penetration index of the city3—E-commerce logisticsLogistics employmentNumber of people employed in urban transport, storage and postal services in the city1PersonRoad freight volumeUrban road freight volume in the city1Ten thousand tonsData sources:1, 2018 statistical yearbook by cities; 2, 2018 statistical yearbook by provinces; 3, China e-commerce development index report (2017); 4, 2017 most attractive cities for talents and related data compilation; 5, 2017 national statistical bulletin on science and technology funding inputs.Since 2013, China’s Cross-border e-commerce industry has developed rapidly, but it greatly relies on the support of the economic system. At the same time, the cross-border e-commerce talent gap is expanding. At present, the construction of cross-border e-commerce majors in colleges and universities are just getting started, most of them still only use cross-border e-commerce as a small part of the curriculum of trade and other majors. To maintain the sustainable development of the cross-border e-commerce supply chain, the problem of insufficient supply of compound-type high-quality talents needs to be solved urgently. In addition, in the era of digital economy, technological innovation is the core of all development. Only by continuously and deeply developing the innovation system can we enhance the sustainability of CBECSC development in the cities where CBECCPAs locate.


## 3.1.2. Building the Sequential Covariate Index System of Economic System

In this study, the following four indicators are selected to reflect the economic system. (1) The economic development sequential covariate reflects the economic basis of cross-border e-commerce development in the cities where CBECCPAs locate by two secondary indicators of economic scale and economic structure. (2) The consumption capacity of the city where a CBECCPA is reflected by the secondary indicators of disposable income and consumption expenditure of the social consumption sequential covariate. (3) The talent environment reflects the driving force for the optimal development of cross-border e-commerce supply chain, including the talent cultivation ability and talent attraction ability of the cities where CBECCPAs locate, among which the talent cultivation ability is measured by the education expenditure of the city where CBECCPA locates. (4) Technological innovation sequential covariates mainly include three indicators: R&D investment, R&D intensity, and science and technology expenditure, where R&D investment and R&D intensity are those of the province where a CBECCPA locates, and science and technology expenditure is that of the city where CBECCPA locates, see Table2.Table 2
Sequential covariate index system of the economic system.
Sequence covariatesSecondary indicatorsContent of the indicatorUnit of measureEconomic developmentSize of the economyGDP of the city1100 million yuanEconomic structureShare of the tertiary sector in the city’s GDP1%Social consumptionDisposable incomePer capital disposable income of urban residents in the corresponding province2YuanConsumer spendingPer capital consumption expenditure of urban residents in the corresponding province2YuanTalent environmentTalent developmentEducation expenditure in the city1Ten thousand yuanTalent attractionTalent attraction index of the city4—Technological innovationR&D inputTotal R&D investment in the corresponding province5100 million yuanR&D intensityR&D investment intensity of the corresponding province5%Science and technology expenditureScience and technology expenditures in the city1Ten thousand yuanData sources:1, 2018 statistical yearbook by cities; 2, 2018 statistical yearbook by provinces; 3, China e-commerce development index report (2017); 4, 2017 most attractive cities for talents and related data compilation; 5, 2017 national statistical bulletin on science and technology funding inputs.


## 3.2. Measuring the Coupling Coordination

At present, there are 105 CBECCPAs in China, covering 30 provinces and cities. In this study, we select relevant data in 2017 from the 35 cities where the first three batches of CBECCPAs locate in China. After standardization, we measure the orderliness of 17 secondary indicators of CBECSC system and economic system and measure the degree of coupled development between CBECSC and economic system.


### 3.2.1. Data Standardization

Since the units and quantitative levels of the selected indicators are different, the data were first processed using the z-score data normalization method in order to conduct a valid study.The original data sequencex1, x2, …, xn is transformed with the formula:(1)yi=xi−x¯s,where x¯=1/n∑i=1nxi and s=1/n−1∑i=1nxi−x¯2, and the transformed new sequence y1, y2, …, yn has mean 0 and variance 1 and is dimensionless.Using the same method to standardizex11, x12, …, xij, we obtain y11, y12, …, yij, where i is a secondary indicator and j is the city, where the CBECCPA locates.


### 3.2.2. Orderliness of Sequential Covariates

The following efficacy functions are established to measure the orderliness of each sequential covariate so that the orderliness of the whole system can be further calculated and analyzed:(2)fs=1k∑i=1k135∑j=135yij,where k is the number of secondary indicators for a given sequential covariate and s is the sequential covariate number.Whenfs is a positive indicator, a higher value indicates a higher degree of order. When fs is a negative indicator, a larger value indicates a lower degree of order.


### 3.2.3. System Orderliness

The average of the orderliness of its own sequential covariates is taken as the orderliness of the cross-border e-commerce system:(3)F1=∑s=14fs.The average of the orderliness of its own sequential covariates is taken as the orderliness of the economic system:(4)F2=∑s=58fs.


### 3.2.4. Degree of System Coupling Development

The degree of coupling development can reflect the degree of coordinated development of CBECSC and economic system at a point in time. The degree of coupling development between the CBECSC system and the economic system is derived according to the following formula:(5)F=2F1F2F1+F221/2,where F∈0,1. The larger the value of F is, the higher the degree of coupled and coordinated development of the two systems is. In this study, the coupled and coordinated development degree is divided into 10 levels, see Table 3.Table 3
Evaluation criteria for the degree of the coupled and coordinated development.
LevelCoupling coordination typeCoupling coordination valueLevelCoupling coordination typeCoupling coordination value1State of extreme dysfunction0.00–0.106Barely coordinated coupling0.50–0.552State of severe dysfunction0.10–0.207Primary coordination coupling0.55–0.603Moderate disorder0.20–0.308Intermediate coordination coupling0.60–0.654Mildly disorder0.30–0.409Well-coordinated coupling0.65–0.705On the verge of dysfunctional0.40–0.5010Quality coordination coupling0.70–1.00


## 3.2.1. Data Standardization

Since the units and quantitative levels of the selected indicators are different, the data were first processed using the z-score data normalization method in order to conduct a valid study.The original data sequencex1, x2, …, xn is transformed with the formula:(1)yi=xi−x¯s,where x¯=1/n∑i=1nxi and s=1/n−1∑i=1nxi−x¯2, and the transformed new sequence y1, y2, …, yn has mean 0 and variance 1 and is dimensionless.Using the same method to standardizex11, x12, …, xij, we obtain y11, y12, …, yij, where i is a secondary indicator and j is the city, where the CBECCPA locates.


## 3.2.2. Orderliness of Sequential Covariates

The following efficacy functions are established to measure the orderliness of each sequential covariate so that the orderliness of the whole system can be further calculated and analyzed:(2)fs=1k∑i=1k135∑j=135yij,where k is the number of secondary indicators for a given sequential covariate and s is the sequential covariate number.Whenfs is a positive indicator, a higher value indicates a higher degree of order. When fs is a negative indicator, a larger value indicates a lower degree of order.


## 3.2.3. System Orderliness

The average of the orderliness of its own sequential covariates is taken as the orderliness of the cross-border e-commerce system:(3)F1=∑s=14fs.The average of the orderliness of its own sequential covariates is taken as the orderliness of the economic system:(4)F2=∑s=58fs.


## 3.2.4. Degree of System Coupling Development

The degree of coupling development can reflect the degree of coordinated development of CBECSC and economic system at a point in time. The degree of coupling development between the CBECSC system and the economic system is derived according to the following formula:(5)F=2F1F2F1+F221/2,where F∈0,1. The larger the value of F is, the higher the degree of coupled and coordinated development of the two systems is. In this study, the coupled and coordinated development degree is divided into 10 levels, see Table 3.Table 3
Evaluation criteria for the degree of the coupled and coordinated development.
LevelCoupling coordination typeCoupling coordination valueLevelCoupling coordination typeCoupling coordination value1State of extreme dysfunction0.00–0.106Barely coordinated coupling0.50–0.552State of severe dysfunction0.10–0.207Primary coordination coupling0.55–0.603Moderate disorder0.20–0.308Intermediate coordination coupling0.60–0.654Mildly disorder0.30–0.409Well-coordinated coupling0.65–0.705On the verge of dysfunctional0.40–0.5010Quality coordination coupling0.70–1.00


## 4. Results and Analysis

### 4.1. Results and Analysis of the Orderliness of CBECSC

In general, the orderliness of supply chain systems in the 35 cities where the CBECCPAs locate in 2017 (see column 6 of Table4) was uneven. Guangzhou City has the highest orderliness, Shenzhen has the highest orderliness of supply chain and foreign trade, Guangzhou has the highest orderliness of e-commerce, and Chongqing has the highest orderliness of e-commerce logistics sequential covariate. Chongqing, Guangzhou, and Shenzhen all belong to the second batch of CBECCPAs in China, which were built earlier and have made certain achievements in cross-border e-commerce development. In addition, together with the prominence of their location advantages, the development of supply chains in the cities are more complete.Table 4
Supply chain orderliness in the cities where the CBECCPAs locate.
CitiesSupply chain orderlinessOrderliness of foreign tradeOrderliness of electronic commerceOrderliness of e-commerce logisticsCBECSC orderlinessGuangzhou0.04720.0380.15230.05770.2953Shanghai0.13190.05050.01780.05070.2508Shenzhen0.04730.06710.05080.0160.1813Beijing0.03510.02740.03230.05260.1474Zhuhai0.01510.03770.05080.02370.1272Dongguan0.00830.04210.05080.02260.1238Chongqing0.00930.01160.01570.06830.1049Suzhou0.00570.05840.00990.01560.0897Lanzhou0.01570.02130.02630.02180.085Changchun0.01420.01940.03070.01930.0836Harbin0.01290.02050.03210.01720.0827Haikou0.01560.02090.01720.0260.0797Hangzhou0.0260.00670.0420.00380.0785Hohhot0.01510.02090.02410.0160.0761Tangshan0.01560.01840.01830.02070.073Nanchang0.01320.01870.02050.01990.0723Guiyang0.01450.0210.0170.01930.0718Nanning0.01310.01820.02540.01190.0686Yiwu0.00170.01110.04190.01090.0656Ningbo0.0050.0070.0420.0090.063Shenyang0.01220.01590.02830.00480.0612Dalian0.01340.01070.02830.00820.0605Changsha0.01080.01860.01270.01810.0602Weihai0.01580.00780.00930.02610.059Wuxi0.00750.01840.00990.01950.0553Kunming0.01330.01980.01960.00120.054Zhengzhou0.01610.01190.01720.00840.0536Chengdu0.00230.01240.00350.02990.0482Xian0.00990.01590.0140.00540.0452Hefei0.01020.01660.00760.00930.0436Tianjin0.00390.00910.02220.00830.0436Nanjing0.00430.01750.00990.01130.0431Wuhan0.00310.01660.01150.00760.0389Xiamen0.0110.00490.00710.01090.0339Qingdao0.00990.00210.00930.00710.0284


### 4.2. Results and Analysis of Economic System Orderliness

In terms of the overall orderliness of the economic system, Beijing has the highest orderliness, see Table5. Beijing also has the highest orderliness in economic development, talent environment, and technological innovation. Shanghai has the highest orderliness of social consumption. Beijing and Shanghai are China’s first-tier big cities, enjoying richer resources and more favorable policies. Their economic development levels far exceed most of other cities, which can provide strong support for the development of cross-border e-commerce supply chains.Table 5
Orderliness of the economic system of the cities where the CBECCPAs locate.
CitiesOrderliness of economic developmentOrderliness of social consumptionOrderliness of the talent environmentOrderliness of technological innovationOrderliness of the economic systemBeijing0.0690.07610.11040.0830.3385Shanghai0.05680.08370.07630.05610.2730Shenzhen0.02590.01520.03840.03850.1179Haikou0.04160.01980.02160.02830.1112Guangzhou0.04250.01520.02430.02130.1033Tangshan0.04740.02120.01490.01630.0997Lanzhou0.02450.03380.0180.01920.0955Guiyang0.01760.03320.01610.02420.0911Yiwu0.02490.03260.01890.01280.0892Hohhot0.03530.0070.020.0240.0862Nanning0.0170.02770.0150.02430.084Changchun0.02630.02090.0140.02250.0837Chongqing0.03450.01210.02880.00480.0802Nanchang0.02470.02250.01550.01610.0788Kunming0.01080.03160.01430.02090.0776Tianjin0.01910.02730.01530.01450.0761Hangzhou0.01460.03260.01790.00940.0744Harbin0.01570.02130.01320.02220.0724Zhuhai0.02370.01520.01840.01420.0715Weihai0.03030.00960.01870.01270.0713Ningbo0.01870.03260.00790.00850.0677Dongguan0.01130.01520.01270.01530.0544Zhengzhou0.00840.02670.00540.01350.0541Hefei0.01630.020.00990.00520.0514Suzhou0.0110.0150.0070.01680.0499Wuxi0.00690.0150.01190.01450.0484Xian0.00750.02350.00790.0080.047Chengdu0.01050.02080.00850.00640.0462Wuhan0.01690.01480.00450.00720.0434Changsha0.01180.01520.00630.00940.0427Nanjing0.00750.0150.00160.01210.0364Xiamen0.0090.00330.01290.00990.0351Dalian0.00610.00190.01370.00950.0312Shenyang0.00650.00190.01190.00910.0295Qingdao0.00080.00960.00630.01050.0272


### 4.3. Results and Analysis of Coupled and Coordinated Development Degrees

In 2017, among the 35 cities where CBECCPAs locate in China, the CBECSC system and the economic system are in superior coordinated coupling in 21 cities, good coordinated coupling in 13 cities, and moderate coordinated coupling in one city, as shown in Table6.Table 6
Degree of coupled development of supply chain system and economic system in 35 cities where CBECCPAs locate in China in 2017.
Coupling typeCitiesDegree of coupling developmentCitiesDegree of coupling developmentCitiesDegree of coupling developmentCitiesDegree of coupling developmentSuperior coordination couplingZhengzhou0.7071Qingdao0.7069Hohhot0.7057Nanning0.7035Changchun0.7071Ningbo0.7067Wuxi0.7055Guiyang0.7021Chengdu0.707Shanghai0.7065Harbin0.7055Chongqing0.7008Xiamen0.707Nanchang0.7064Hefei0.7047Xian0.707Wuhan0.7061Nanjing0.7046Hangzhou0.7069Lanzhou0.7059Weihai0.7039Good coordination couplingYiwu0.6989Kunming0.6956Suzhou0.6778Beijing0.6501Tangshan0.6986Shenzhen0.6911Dalian0.6699Haikou0.6974Tianjin0.6805Shenyang0.6624Changsha0.6968Zhuhai0.6788Dongguan0.6514Moderate coordination couplingGuangzhou0.6197The 21 cities where CBECCPAs locate in Table6 are in a state of superior coordinated coupling, but they are all just reaching the standard of superior coupling and coordination. Although the CBECSC system and the economic system in these cities can achieve benign resonance, it is not yet known whether the momentum of coordinated development can be maintained in the future. To maintain sustainable development, the elements of the two systems need to work more closely together and improve the efficiency of resource utilization.Among the 13 cities in good coordinated coupling state in Table6, 6 cities’ CBECSC systems and economic systems are close to a superior coordinated coupling state, including Yiwu, Tangshan, Haikou, Changsha, Kunming, and Shenzhen, while Dongguan and Beijing have a relatively low coordinated coupling degree. The main reason for Dongguan comes from the fact that its economic system lags behind the development of the CBECSC system, while Beijing stems from the fact that the CBECSC system lags behind the development of the economic system.Guangzhou is the only city in the moderate coordinated coupling state in Table6. As one of the second batch of CBECCPAs, Guangzhou city has obvious geographical advantages, industrial advantages, higher economic development level, and good development of the CBECSC, but is still in the run-in period of the coupled and coordinated development between the CBECSC and the economic system.


## 4.1. Results and Analysis of the Orderliness of CBECSC

In general, the orderliness of supply chain systems in the 35 cities where the CBECCPAs locate in 2017 (see column 6 of Table4) was uneven. Guangzhou City has the highest orderliness, Shenzhen has the highest orderliness of supply chain and foreign trade, Guangzhou has the highest orderliness of e-commerce, and Chongqing has the highest orderliness of e-commerce logistics sequential covariate. Chongqing, Guangzhou, and Shenzhen all belong to the second batch of CBECCPAs in China, which were built earlier and have made certain achievements in cross-border e-commerce development. In addition, together with the prominence of their location advantages, the development of supply chains in the cities are more complete.Table 4
Supply chain orderliness in the cities where the CBECCPAs locate.
CitiesSupply chain orderlinessOrderliness of foreign tradeOrderliness of electronic commerceOrderliness of e-commerce logisticsCBECSC orderlinessGuangzhou0.04720.0380.15230.05770.2953Shanghai0.13190.05050.01780.05070.2508Shenzhen0.04730.06710.05080.0160.1813Beijing0.03510.02740.03230.05260.1474Zhuhai0.01510.03770.05080.02370.1272Dongguan0.00830.04210.05080.02260.1238Chongqing0.00930.01160.01570.06830.1049Suzhou0.00570.05840.00990.01560.0897Lanzhou0.01570.02130.02630.02180.085Changchun0.01420.01940.03070.01930.0836Harbin0.01290.02050.03210.01720.0827Haikou0.01560.02090.01720.0260.0797Hangzhou0.0260.00670.0420.00380.0785Hohhot0.01510.02090.02410.0160.0761Tangshan0.01560.01840.01830.02070.073Nanchang0.01320.01870.02050.01990.0723Guiyang0.01450.0210.0170.01930.0718Nanning0.01310.01820.02540.01190.0686Yiwu0.00170.01110.04190.01090.0656Ningbo0.0050.0070.0420.0090.063Shenyang0.01220.01590.02830.00480.0612Dalian0.01340.01070.02830.00820.0605Changsha0.01080.01860.01270.01810.0602Weihai0.01580.00780.00930.02610.059Wuxi0.00750.01840.00990.01950.0553Kunming0.01330.01980.01960.00120.054Zhengzhou0.01610.01190.01720.00840.0536Chengdu0.00230.01240.00350.02990.0482Xian0.00990.01590.0140.00540.0452Hefei0.01020.01660.00760.00930.0436Tianjin0.00390.00910.02220.00830.0436Nanjing0.00430.01750.00990.01130.0431Wuhan0.00310.01660.01150.00760.0389Xiamen0.0110.00490.00710.01090.0339Qingdao0.00990.00210.00930.00710.0284


## 4.2. Results and Analysis of Economic System Orderliness

In terms of the overall orderliness of the economic system, Beijing has the highest orderliness, see Table5. Beijing also has the highest orderliness in economic development, talent environment, and technological innovation. Shanghai has the highest orderliness of social consumption. Beijing and Shanghai are China’s first-tier big cities, enjoying richer resources and more favorable policies. Their economic development levels far exceed most of other cities, which can provide strong support for the development of cross-border e-commerce supply chains.Table 5
Orderliness of the economic system of the cities where the CBECCPAs locate.
CitiesOrderliness of economic developmentOrderliness of social consumptionOrderliness of the talent environmentOrderliness of technological innovationOrderliness of the economic systemBeijing0.0690.07610.11040.0830.3385Shanghai0.05680.08370.07630.05610.2730Shenzhen0.02590.01520.03840.03850.1179Haikou0.04160.01980.02160.02830.1112Guangzhou0.04250.01520.02430.02130.1033Tangshan0.04740.02120.01490.01630.0997Lanzhou0.02450.03380.0180.01920.0955Guiyang0.01760.03320.01610.02420.0911Yiwu0.02490.03260.01890.01280.0892Hohhot0.03530.0070.020.0240.0862Nanning0.0170.02770.0150.02430.084Changchun0.02630.02090.0140.02250.0837Chongqing0.03450.01210.02880.00480.0802Nanchang0.02470.02250.01550.01610.0788Kunming0.01080.03160.01430.02090.0776Tianjin0.01910.02730.01530.01450.0761Hangzhou0.01460.03260.01790.00940.0744Harbin0.01570.02130.01320.02220.0724Zhuhai0.02370.01520.01840.01420.0715Weihai0.03030.00960.01870.01270.0713Ningbo0.01870.03260.00790.00850.0677Dongguan0.01130.01520.01270.01530.0544Zhengzhou0.00840.02670.00540.01350.0541Hefei0.01630.020.00990.00520.0514Suzhou0.0110.0150.0070.01680.0499Wuxi0.00690.0150.01190.01450.0484Xian0.00750.02350.00790.0080.047Chengdu0.01050.02080.00850.00640.0462Wuhan0.01690.01480.00450.00720.0434Changsha0.01180.01520.00630.00940.0427Nanjing0.00750.0150.00160.01210.0364Xiamen0.0090.00330.01290.00990.0351Dalian0.00610.00190.01370.00950.0312Shenyang0.00650.00190.01190.00910.0295Qingdao0.00080.00960.00630.01050.0272


## 4.3. Results and Analysis of Coupled and Coordinated Development Degrees

In 2017, among the 35 cities where CBECCPAs locate in China, the CBECSC system and the economic system are in superior coordinated coupling in 21 cities, good coordinated coupling in 13 cities, and moderate coordinated coupling in one city, as shown in Table6.Table 6
Degree of coupled development of supply chain system and economic system in 35 cities where CBECCPAs locate in China in 2017.
Coupling typeCitiesDegree of coupling developmentCitiesDegree of coupling developmentCitiesDegree of coupling developmentCitiesDegree of coupling developmentSuperior coordination couplingZhengzhou0.7071Qingdao0.7069Hohhot0.7057Nanning0.7035Changchun0.7071Ningbo0.7067Wuxi0.7055Guiyang0.7021Chengdu0.707Shanghai0.7065Harbin0.7055Chongqing0.7008Xiamen0.707Nanchang0.7064Hefei0.7047Xian0.707Wuhan0.7061Nanjing0.7046Hangzhou0.7069Lanzhou0.7059Weihai0.7039Good coordination couplingYiwu0.6989Kunming0.6956Suzhou0.6778Beijing0.6501Tangshan0.6986Shenzhen0.6911Dalian0.6699Haikou0.6974Tianjin0.6805Shenyang0.6624Changsha0.6968Zhuhai0.6788Dongguan0.6514Moderate coordination couplingGuangzhou0.6197The 21 cities where CBECCPAs locate in Table6 are in a state of superior coordinated coupling, but they are all just reaching the standard of superior coupling and coordination. Although the CBECSC system and the economic system in these cities can achieve benign resonance, it is not yet known whether the momentum of coordinated development can be maintained in the future. To maintain sustainable development, the elements of the two systems need to work more closely together and improve the efficiency of resource utilization.Among the 13 cities in good coordinated coupling state in Table6, 6 cities’ CBECSC systems and economic systems are close to a superior coordinated coupling state, including Yiwu, Tangshan, Haikou, Changsha, Kunming, and Shenzhen, while Dongguan and Beijing have a relatively low coordinated coupling degree. The main reason for Dongguan comes from the fact that its economic system lags behind the development of the CBECSC system, while Beijing stems from the fact that the CBECSC system lags behind the development of the economic system.Guangzhou is the only city in the moderate coordinated coupling state in Table6. As one of the second batch of CBECCPAs, Guangzhou city has obvious geographical advantages, industrial advantages, higher economic development level, and good development of the CBECSC, but is still in the run-in period of the coupled and coordinated development between the CBECSC and the economic system.


## 5. Conclusions and Suggestions

### 5.1. Main Conclusions and Discussion

#### 5.1.1. Main Conclusions

The calculation of the orderliness and coupling coordination degree of the CBECSC system and the economic system of the 35 cities where CBECCPAs locate in China in 2017 shows that 21, 13, and 1 cities where the CBECCPAs locate are classified as being in the state of superior, good and moderate coupling, and coordination, respectively. The CBECSC development in the cities where the CBECCPAs set earlier is superior such as Zhengzhou and Hangzhou, and the two systems have a superior degree of coordinated coupling. However, the two systems in Shenzhen and Guangzhou have a mismatch of coordinated coupling with the former batch of CBECCPAs approved. Beijing has a strong economy, but the development of the CBECSC system lags behind the economic development, and there is still space to improve the degree of coupling development. The development of Dongguan’s economic system lags behind the development of the CBECSC system.


#### 5.1.2. Discussion

At present, most relative research studies focus on the factors influencing the development of CBECSC and economic systems. On the basis, this paper studies the coupled and coordinated relationship between the two systems, which is a new aspect. And this study selects 35 CBECCPAs in China as research objects, which is more realistic and effective.


#### 5.1.3. The Limitation and Further Research

This paper analyzes the coupled and coordinated development between China’s CBECSC and economic system only for 35 CBECCPAs and only in 2017 because of data availability. It will be more meaningful to find out the general rule of the change or evolution of the coupled and coordinated development between years. And the research will be more convincing if it covers more CBECCPAs. Further research will cover more CBECCPAs and development between many years.


### 5.2. Suggestions

To promote the coordinated development of the CBECSC and the economic system, it is necessary not only to improve the orderliness of the supply chain and of the economic system in the city where the CBECCPAs locate but also to improve the close integration and good cooperation between the CBECSC and the economic system and to continuously improve the coupling and coordination between them. Specific countermeasures are proposed as follows.


#### 5.2.1. To Improve the Ecosystem of the CBECSC

According to the orderliness of supply chains in cities where CBECCPAs locate, the orderliness of cross-border e-commerce supply chains in Chengdu, Xi’an, Hefei, Tianjin, Nanjing, Wuhan, Xiamen, and Qingdao is low. The CBECSC is a key link and logistics gateway for the development of cross-border e-commerce. For cities with low orderly cross-border e-commerce supply chains, much efforts should be made to the cohesive role of CBECCPAs, to improving the CBECSC ecosystem, to strengthening the construction of cross-border e-commerce platforms, to developing supporting industries including warehousing and logistics, information services, and financial services, and to improving resource integration capacity and operational efficiency.


#### 5.2.2. To Pursue High-Quality Development of the Urban Economy

There are large differences in the economic development among the 35 cities where CBECCPAs locate. Beijing and Shanghai have a much more orderly economic system than the other 33 cities, while Nanjing, Xiamen, Dalian, Shenyang, and Qingdao have a less orderly economic system, and the industrial base of the third- and fourth-tier cities is relatively weak. Therefore, in order to improve the orderliness of the economic system, it is more necessary to innovate the concept of urban economic development, promote the optimization of industrial structure, pursue high-quality development, stimulate greater economic vitality, and establish a mechanism of synergistic innovation, complementary advantages, and linkage development on the basis of the city’s development positioning, which is of great significance to take full advantage of each place and achieve balanced regional development as well.


#### 5.2.3. To Create a Favorable Environment for the Coordinated Development

City development should aggregate and coordinate government and market forces, promote the in-depth and synergistic development of CBECSC and economic system, deepen cooperation between industries and enterprises, break the boundaries between regions, enhance regional ties, accelerate the flow and reorganization of resources, and construct a good development environment. And cities such as Beijing and Shanghai, whose economic development has far outpaced the development of cross-border e-commerce supply chains, should make up for their shortcomings, provide a suitable business environment for cross-border e-commerce development, accelerate customs clearance facilitation, and vigorously promote the development of cross-border e-commerce supply chain and its coordinated development with the economic system.


#### 5.2.4. To Cultivate Professional Composite Talents and to Encourage Innovation and Entrepreneurship

The cross-border e-commerce industry involves a multidisciplinary and cross-fertilization knowledge and requires practitioners with a higher standard. The development of cross-border e-commerce requires international and composite talents who understand business, have sensitivity to the market, understand customers’ needs, and are good at data-based operation and promotion. To build and improve the training system for professional and technical talents in cross-border e-commerce, we should encourage the combination of industry, academia, and research to build and optimize the relevant courses in cross-border e-commerce; encourage cross-border e-commerce enterprises to carry out relative training and establish an incubation mechanism to encourage cross-border e-commerce innovation and entrepreneurship, etc.


## 5.1. Main Conclusions and Discussion

### 5.1.1. Main Conclusions

The calculation of the orderliness and coupling coordination degree of the CBECSC system and the economic system of the 35 cities where CBECCPAs locate in China in 2017 shows that 21, 13, and 1 cities where the CBECCPAs locate are classified as being in the state of superior, good and moderate coupling, and coordination, respectively. The CBECSC development in the cities where the CBECCPAs set earlier is superior such as Zhengzhou and Hangzhou, and the two systems have a superior degree of coordinated coupling. However, the two systems in Shenzhen and Guangzhou have a mismatch of coordinated coupling with the former batch of CBECCPAs approved. Beijing has a strong economy, but the development of the CBECSC system lags behind the economic development, and there is still space to improve the degree of coupling development. The development of Dongguan’s economic system lags behind the development of the CBECSC system.


### 5.1.2. Discussion

At present, most relative research studies focus on the factors influencing the development of CBECSC and economic systems. On the basis, this paper studies the coupled and coordinated relationship between the two systems, which is a new aspect. And this study selects 35 CBECCPAs in China as research objects, which is more realistic and effective.


### 5.1.3. The Limitation and Further Research

This paper analyzes the coupled and coordinated development between China’s CBECSC and economic system only for 35 CBECCPAs and only in 2017 because of data availability. It will be more meaningful to find out the general rule of the change or evolution of the coupled and coordinated development between years. And the research will be more convincing if it covers more CBECCPAs. Further research will cover more CBECCPAs and development between many years.


## 5.1.1. Main Conclusions

The calculation of the orderliness and coupling coordination degree of the CBECSC system and the economic system of the 35 cities where CBECCPAs locate in China in 2017 shows that 21, 13, and 1 cities where the CBECCPAs locate are classified as being in the state of superior, good and moderate coupling, and coordination, respectively. The CBECSC development in the cities where the CBECCPAs set earlier is superior such as Zhengzhou and Hangzhou, and the two systems have a superior degree of coordinated coupling. However, the two systems in Shenzhen and Guangzhou have a mismatch of coordinated coupling with the former batch of CBECCPAs approved. Beijing has a strong economy, but the development of the CBECSC system lags behind the economic development, and there is still space to improve the degree of coupling development. The development of Dongguan’s economic system lags behind the development of the CBECSC system.


## 5.1.2. Discussion

At present, most relative research studies focus on the factors influencing the development of CBECSC and economic systems. On the basis, this paper studies the coupled and coordinated relationship between the two systems, which is a new aspect. And this study selects 35 CBECCPAs in China as research objects, which is more realistic and effective.


## 5.1.3. The Limitation and Further Research

This paper analyzes the coupled and coordinated development between China’s CBECSC and economic system only for 35 CBECCPAs and only in 2017 because of data availability. It will be more meaningful to find out the general rule of the change or evolution of the coupled and coordinated development between years. And the research will be more convincing if it covers more CBECCPAs. Further research will cover more CBECCPAs and development between many years.


## 5.2. Suggestions

To promote the coordinated development of the CBECSC and the economic system, it is necessary not only to improve the orderliness of the supply chain and of the economic system in the city where the CBECCPAs locate but also to improve the close integration and good cooperation between the CBECSC and the economic system and to continuously improve the coupling and coordination between them. Specific countermeasures are proposed as follows.


### 5.2.1. To Improve the Ecosystem of the CBECSC

According to the orderliness of supply chains in cities where CBECCPAs locate, the orderliness of cross-border e-commerce supply chains in Chengdu, Xi’an, Hefei, Tianjin, Nanjing, Wuhan, Xiamen, and Qingdao is low. The CBECSC is a key link and logistics gateway for the development of cross-border e-commerce. For cities with low orderly cross-border e-commerce supply chains, much efforts should be made to the cohesive role of CBECCPAs, to improving the CBECSC ecosystem, to strengthening the construction of cross-border e-commerce platforms, to developing supporting industries including warehousing and logistics, information services, and financial services, and to improving resource integration capacity and operational efficiency.


### 5.2.2. To Pursue High-Quality Development of the Urban Economy

There are large differences in the economic development among the 35 cities where CBECCPAs locate. Beijing and Shanghai have a much more orderly economic system than the other 33 cities, while Nanjing, Xiamen, Dalian, Shenyang, and Qingdao have a less orderly economic system, and the industrial base of the third- and fourth-tier cities is relatively weak. Therefore, in order to improve the orderliness of the economic system, it is more necessary to innovate the concept of urban economic development, promote the optimization of industrial structure, pursue high-quality development, stimulate greater economic vitality, and establish a mechanism of synergistic innovation, complementary advantages, and linkage development on the basis of the city’s development positioning, which is of great significance to take full advantage of each place and achieve balanced regional development as well.


### 5.2.3. To Create a Favorable Environment for the Coordinated Development

City development should aggregate and coordinate government and market forces, promote the in-depth and synergistic development of CBECSC and economic system, deepen cooperation between industries and enterprises, break the boundaries between regions, enhance regional ties, accelerate the flow and reorganization of resources, and construct a good development environment. And cities such as Beijing and Shanghai, whose economic development has far outpaced the development of cross-border e-commerce supply chains, should make up for their shortcomings, provide a suitable business environment for cross-border e-commerce development, accelerate customs clearance facilitation, and vigorously promote the development of cross-border e-commerce supply chain and its coordinated development with the economic system.


### 5.2.4. To Cultivate Professional Composite Talents and to Encourage Innovation and Entrepreneurship

The cross-border e-commerce industry involves a multidisciplinary and cross-fertilization knowledge and requires practitioners with a higher standard. The development of cross-border e-commerce requires international and composite talents who understand business, have sensitivity to the market, understand customers’ needs, and are good at data-based operation and promotion. To build and improve the training system for professional and technical talents in cross-border e-commerce, we should encourage the combination of industry, academia, and research to build and optimize the relevant courses in cross-border e-commerce; encourage cross-border e-commerce enterprises to carry out relative training and establish an incubation mechanism to encourage cross-border e-commerce innovation and entrepreneurship, etc.


## 5.2.1. To Improve the Ecosystem of the CBECSC

According to the orderliness of supply chains in cities where CBECCPAs locate, the orderliness of cross-border e-commerce supply chains in Chengdu, Xi’an, Hefei, Tianjin, Nanjing, Wuhan, Xiamen, and Qingdao is low. The CBECSC is a key link and logistics gateway for the development of cross-border e-commerce. For cities with low orderly cross-border e-commerce supply chains, much efforts should be made to the cohesive role of CBECCPAs, to improving the CBECSC ecosystem, to strengthening the construction of cross-border e-commerce platforms, to developing supporting industries including warehousing and logistics, information services, and financial services, and to improving resource integration capacity and operational efficiency.


## 5.2.2. To Pursue High-Quality Development of the Urban Economy

There are large differences in the economic development among the 35 cities where CBECCPAs locate. Beijing and Shanghai have a much more orderly economic system than the other 33 cities, while Nanjing, Xiamen, Dalian, Shenyang, and Qingdao have a less orderly economic system, and the industrial base of the third- and fourth-tier cities is relatively weak. Therefore, in order to improve the orderliness of the economic system, it is more necessary to innovate the concept of urban economic development, promote the optimization of industrial structure, pursue high-quality development, stimulate greater economic vitality, and establish a mechanism of synergistic innovation, complementary advantages, and linkage development on the basis of the city’s development positioning, which is of great significance to take full advantage of each place and achieve balanced regional development as well.


## 5.2.3. To Create a Favorable Environment for the Coordinated Development

City development should aggregate and coordinate government and market forces, promote the in-depth and synergistic development of CBECSC and economic system, deepen cooperation between industries and enterprises, break the boundaries between regions, enhance regional ties, accelerate the flow and reorganization of resources, and construct a good development environment. And cities such as Beijing and Shanghai, whose economic development has far outpaced the development of cross-border e-commerce supply chains, should make up for their shortcomings, provide a suitable business environment for cross-border e-commerce development, accelerate customs clearance facilitation, and vigorously promote the development of cross-border e-commerce supply chain and its coordinated development with the economic system.


## 5.2.4. To Cultivate Professional Composite Talents and to Encourage Innovation and Entrepreneurship

The cross-border e-commerce industry involves a multidisciplinary and cross-fertilization knowledge and requires practitioners with a higher standard. The development of cross-border e-commerce requires international and composite talents who understand business, have sensitivity to the market, understand customers’ needs, and are good at data-based operation and promotion. To build and improve the training system for professional and technical talents in cross-border e-commerce, we should encourage the combination of industry, academia, and research to build and optimize the relevant courses in cross-border e-commerce; encourage cross-border e-commerce enterprises to carry out relative training and establish an incubation mechanism to encourage cross-border e-commerce innovation and entrepreneurship, etc.



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*Source: 9547413-2022-03-16.xml*