# Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain

Authors: Cuiwei Li; Liang Qiao
Journal: Mobile Information Systems
 (2022)

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## Abstract

The environment for tourist development will be increased further if the people-centered development concept is fully implemented, and people’s desire for a colorful tourism life will be boosted. This includes the new kinetic energy of digitalization and networking, which has contributed more and more to economic development. The people-centered development concept also includes the sudden new crown pneumonia outbreak that has had a major influence on the tourism sector; the tourism industry’s robust expansion will not change as a result. There is a reason to assume that tourism will become a key business that contributes to the long-term economic and social growth of China. With the Markov chain to forecast the development tendency of the tourism economy, this paper constructs characteristic indicators such as the number of duty-free shopping on outlying islands, the per capita spending of outlying island rabbit tax shopping, and the number of ecological civilization villages, using the era of free trade ports as a backdrop. The experimental results shows that the proposed idea of this paper is realistic and can have a significant impact towards designing a national ecological civilization pilot zone, international tourism consumption center, and the creation of tropical rainforest national parks.


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## Body

## 1. Introduction

In response to changes in the global situation, the Chinese government has proposed expediting the building of a new development pattern with the domestic cycle at national level [1]. Tourism should also follow the trend of expanding and upgrading tourism consumption, continue to stimulate tourism consumption potential, remove institutional barriers and institutional blocking points in the development of new forums, and build a new market development pattern through effective demand management, as well as promotion [2, 3]. The economy will continue to play a supporting and leading role in the new era’s new development stage. The relevance of studying the role and path of tourism in the new development pattern of dual circulation and mutual promotion cannot be overstated [4–6]. Tourism features in the new era are more diverse, which will influence traditional tourism’s development mode, including business model, operations management, and product form. The spatial pattern and other characteristics have a number of effects, and it also provides an environment and a large amount of area for academic tourism research [7, 8]. The industrial contribution of tourism to economic growth will be endowed with the history of the new period, especially in the current economic new normal [9, 10]. To consolidate the tourist academic research system, tourism academics must reexamine the economical logic and value orientation behind the development of tourism, as well as bring distinctive contributions from tourism economics [11–13].Research communities around the world have been interested in studying the relationship between the tourism sector and the environment [14]. The tourism multiplier concept along with the concept and method of tourism’s impact on the ecological environment is proposed by some international experts. The mechanism of tourism activities on environmental aspects began as early as the 1950s [15, 16]. The emergence of mass tourism has resulted in a growing number of major challenges in tourist sites’ environments. Many academics have focused their attention on the tourism environment’s carrying capacity and capability [14–20]. Domestic tourist economy and environmental research have made significant development in recent years. The study material has gotten increasingly extensive, and two-way interaction between two systems has evolved into the creation of numerous systems in tandem. The degree of study has gradually deepened, from one-way effect analysis to higher-level research on interactive symbiotic interactions. The research methods have been consistently refined, from quantitative research to comprehensive research [21–26].It is discovered that there are still flaws in the existing research with a comprehensive survey of the literature. Many researchers’ index settings are more general, and their characteristic signs are not noticeable. There is limited research on period dynamic forecasting [27–33]. Although there are few researchers working on Hainan-related themes, they are far from matching the new criteria of the free trade portage in terms of research. The main contributions of this work are as follows:(1)
This paper carefully considers the characteristics of Hainan Free Trade Port and establishes the desired characteristic indicators by reflecting the international tourism consumption center and the national ecological civilization pilot area.(2)
To achieve the desired characteristics, this paper employs the Markov chain to forecast and analyze the notch of coupling between the two systems over the next five years.(3)
This work provide a theoretical foundation and a reference paradigm for related research on Chinese-style free trade ports, as well as encourage the high-quality development of the Hainan International Tourism Consumption Center and the National Ecological Civilization Pilot Zone.The rest of this paper is organized as follows: In Section2, developing a high-quality tourism industry is discussed and the strategy for integrating with national tourism is explained. In Section 3, the methodology adopted by this study is presented, which is followed by experimental results and discussion in Section 4. Finally, the paper is concluded in Section 5.


## 2. Developing High-Quality Tourism

The development of high-quality tourism products and service systems is an objective reflection of China’s economic and social development level in the field of tourism, as well as an unavoidable prerequisite for improving China’s entire consumption structure in the new era. To closely address the contradiction of unbalanced and insufficient development, to promote tourism for the people, give tourism a driving role, promote integrated development, promote quality and efficiency improvement, explore an effective path for high-quality tourism development and an institutional mechanism for promoting common prosperity so that people can share the benefits of cultural and tourism development, and to promote the common prosperity of material and spiritual life in high-quality development [34, 35].


### 2.1. Integrating Tourism with the National Strategy

Tourism development must be combined with national high-quality development strategies such as stimulating domestic demand, balancing regional development, and rural revitalization in the new era. This integration is required to fundamentally carry out top-level designs, from macropolicy formulation to micropolicy formulation. Let tourism development take on more responsibilities and play a greater role in the new era, especially in terms of assisting the Belt and Road initiative and disseminating Chinese excellent culture, etc. through visa facilitation, tourism investment, tourism consumption policies, and so on. This integration with national strategies is also required to address people’s needs for a better living. Many tourism projects, such as the development and construction of national parks, the improvement of world-class scenic spots, the creation of leisure cities and leisure blocks, the activation of cultural heritage, and the activation of existing leisure projects, rely on a policy system, institutional arrangement, development path, and operation service system among other things.New advances frequently offer novel encounters and demand novel investigation. Identification of the key challenges in rural tourism development can play a vital role. In addition, they investigate a high-quality development path for rural tourism to promote the tourism economy. Moreover, the novel research on the rationalization of tourism and utilization of the advantages of rural resources can promote the link between rural tourism and rural revitalization and promote long-term rural development. Simultaneously, policy support will be provided for the popularization of the paid vacation system, the increase in tourism consumption demand, and the establishment of a tourism consumption credit system to effectively promote high-quality tourism development and realize people’s aspirations for a better life [36–39].


### 2.2. Recognition of the Connotation of Mass Tourism in the New Era

Advocating for mass tourism means insisting that tourism is for the people that enriches the people and becomes the benchmark of a prosperous society and a necessity for a better living. To properly understand China’s mass tourism in the new era, it is necessary to consciously follow Xi’s guidance, closely integrate our country’s current reality, scientifically define the connotation of mass tourism, clarify its core values, deeply examine the main contradictions, clarify the development path, and answer major questions such as what, why, how to look, and how to do it, in order to cultivate an ideological discourse with a holistic perspective about tourism.


### 2.3. Scientifically Grasping the Role of Tourism

The government and industries must address realistic issues such as how to scientifically grasp the concept, connotation, performance characteristics, major challenges, and tourism-driven realisation paths, formulate a policy system to promote tourism-driven, and provide more effective policy recommendations. To correctly understand the significance of China’s tourism-driven development in the new era, it is necessary to closely integrate our country’s current reality, scientifically define the concept of tourism-driven development, and answer major questions such as what aspects of tourism development have been driven and how to play a more important role, so that the concept of tourism-driven development can be scientifically defined. The economic, social, cultural, ecological, and other levels can all be explored and analyzed while defining the research scope and clarifying the research ideas.


### 2.4. Supporting Role of the Technology Engine

In the modern era of well-off tourism, where technology sets the pace, technology is becoming increasingly crucial in enhancing tourists’ feeling of participation, experience, and benefit, as well as improving their contentment. Injecting new kinetic energy into the tourism business is also a result of technological advancements. It must unwaveringly promote the digital strategy and make technology the key support for transformation and innovation to achieve transformation, upgrading, and high-quality development of tourism. It promotes tourist production, experience, service, and management mode innovation through science and technology, increases tourism industry supply quality, and integrates scientific and technological innovation across the entire tourism development process. Through technological empowerment, it seizes the opportunity of new infrastructure to enrich tourism experiences, increases tourism consumption, promote cultural and tourism integration, improves service efficiency, optimizes tourism governance, and so on, and accelerates the digital empowerment and intelligent transformation of cultural, tourism, science, and education, among other things.


## 2.1. Integrating Tourism with the National Strategy

Tourism development must be combined with national high-quality development strategies such as stimulating domestic demand, balancing regional development, and rural revitalization in the new era. This integration is required to fundamentally carry out top-level designs, from macropolicy formulation to micropolicy formulation. Let tourism development take on more responsibilities and play a greater role in the new era, especially in terms of assisting the Belt and Road initiative and disseminating Chinese excellent culture, etc. through visa facilitation, tourism investment, tourism consumption policies, and so on. This integration with national strategies is also required to address people’s needs for a better living. Many tourism projects, such as the development and construction of national parks, the improvement of world-class scenic spots, the creation of leisure cities and leisure blocks, the activation of cultural heritage, and the activation of existing leisure projects, rely on a policy system, institutional arrangement, development path, and operation service system among other things.New advances frequently offer novel encounters and demand novel investigation. Identification of the key challenges in rural tourism development can play a vital role. In addition, they investigate a high-quality development path for rural tourism to promote the tourism economy. Moreover, the novel research on the rationalization of tourism and utilization of the advantages of rural resources can promote the link between rural tourism and rural revitalization and promote long-term rural development. Simultaneously, policy support will be provided for the popularization of the paid vacation system, the increase in tourism consumption demand, and the establishment of a tourism consumption credit system to effectively promote high-quality tourism development and realize people’s aspirations for a better life [36–39].


## 2.2. Recognition of the Connotation of Mass Tourism in the New Era

Advocating for mass tourism means insisting that tourism is for the people that enriches the people and becomes the benchmark of a prosperous society and a necessity for a better living. To properly understand China’s mass tourism in the new era, it is necessary to consciously follow Xi’s guidance, closely integrate our country’s current reality, scientifically define the connotation of mass tourism, clarify its core values, deeply examine the main contradictions, clarify the development path, and answer major questions such as what, why, how to look, and how to do it, in order to cultivate an ideological discourse with a holistic perspective about tourism.


## 2.3. Scientifically Grasping the Role of Tourism

The government and industries must address realistic issues such as how to scientifically grasp the concept, connotation, performance characteristics, major challenges, and tourism-driven realisation paths, formulate a policy system to promote tourism-driven, and provide more effective policy recommendations. To correctly understand the significance of China’s tourism-driven development in the new era, it is necessary to closely integrate our country’s current reality, scientifically define the concept of tourism-driven development, and answer major questions such as what aspects of tourism development have been driven and how to play a more important role, so that the concept of tourism-driven development can be scientifically defined. The economic, social, cultural, ecological, and other levels can all be explored and analyzed while defining the research scope and clarifying the research ideas.


## 2.4. Supporting Role of the Technology Engine

In the modern era of well-off tourism, where technology sets the pace, technology is becoming increasingly crucial in enhancing tourists’ feeling of participation, experience, and benefit, as well as improving their contentment. Injecting new kinetic energy into the tourism business is also a result of technological advancements. It must unwaveringly promote the digital strategy and make technology the key support for transformation and innovation to achieve transformation, upgrading, and high-quality development of tourism. It promotes tourist production, experience, service, and management mode innovation through science and technology, increases tourism industry supply quality, and integrates scientific and technological innovation across the entire tourism development process. Through technological empowerment, it seizes the opportunity of new infrastructure to enrich tourism experiences, increases tourism consumption, promote cultural and tourism integration, improves service efficiency, optimizes tourism governance, and so on, and accelerates the digital empowerment and intelligent transformation of cultural, tourism, science, and education, among other things.


## 3. Research Methodology

The proposed research method includes the construction of the indicator system, the multifactor comprehensive index evaluation approach, the rapid prediction algorithm, and the use of the Markov chain method.


### 3.1. Construction of the Indicator System and Data Sources

This research is based on the findings of Ioncică et. al [15]. The proposed research chooses the scale index, benefit index, and structure index as indicators of the tourism economic system. The academic circles have yet to form a unified standard for evaluating indicators of the tourism economy while constructing the index system. The ecological environment system’s indexes are the quality index, pressure index, and protection index. The data for this study came primarily from the “Hainan Provincial Statistical Yearbook” and “Hainan Provincial Environmental Status Bulletin” from 2012 to 2021, and other data came from official government ministries’ websites. Surveys or interpolation procedures are mostly utilized to get missing annual statistics data for particular variables. The MC method is utilized to determine the forecast values for the future data from 2022 to 2025.


### 3.2. Research Methods

Initially, this research study utilizes the multifactor comprehensive index evaluation method to design a complete benefit evaluation model. The model weights each index item by item to produce the benefit evaluation index. Each system’s comprehensive benefit evaluation index is calculated using(1)αx=∑i=1naixi′,(2)βy=∑j=1nbiyj′.In this equation,α(x) represents an evaluation index for the tourism economic benefit, β(y) represents an evaluation index for the ecological environment benefit, ai represents the weights of tourism economy, bi represents the ecological environment benefits, x’i represents the standardized values of the tourism economy, and yj′ represents the standardized values of ecological environmental benefits.The larger the difference between the values ofα(x) and β(y), the higher will be the comprehensive benefit evaluation index and the better will be the development of corresponding index. On the contrary, the smaller the outcomes of α(x) and β(y), the greater would be the probability of success. It is demonstrated that the lower the complete benefit evaluation index, the lower is also the development degree of the related index. It is also possible to compare the data acquired by the use of equations (1) and (2). Table 1 displays the results of the examination of the tourism economy and the different types of ecological environments.Table 1
Development type.
αx vs βyαx<βyαx=βyαx>βyTypeTourism development lags behindSimultaneous developmentEcological development lagThis research introduces the index of the degree of coupling to assess the coupling and coordination ofα(x) and β(y). The coupling coordination degree is assessed using(3)C=4αxβyαx+βy2k,(4)D=CT,(5)T=aαx+bβy,where, C is the degree of coupling, k is the adjustment coefficient, D is the coupling coordination degree, and T establishes a quantitative connection between the two systems.By reflecting the comprehensive and coordinated development level of the two,a and b in T are undetermined coefficients. In social development, the economy of tourism and ecological environment are equally important, so a and b are both 0.5. It is necessary to employ a comprehensive index, such as D; in order to reflect the entire benefits of the αx and βy, D is classified and graded as stated in Table 2.Table 2
Division of Harmonized Development Level.
D0≤D≤0.20.2<D≤0.40.4<D≤0.60.6<D≤0.80.8<D≤1LevelSeverely disorderedModerately disorderedBarely coordinatedModerately coordinatedHighly coordinatedMarkov chains (MC) represent random processes with parametric and discrete properties. This is mathematically defined as follows:Assuming the previous stateX0,⋯,Xn−1 and the current state Xn, the conditional distribution of the future Xn+1 is autonomous of the previous state and only relies on the current one. That is, for any n ≥ 0, and any state i,j, we can get the following equation:(6)PXn+1=j|Xn=i,Xn−1=in−1,⋯,X1=i,X0=i0=PXn+1=j|Xn=i.The conditional probabilityPXn+1=j|Xn=i represents the one-step transition probability of the MC Xn, denoted as pij, indicating that the probability of one-step transition. Random MC transition probability is only related to state i,j.The n-step transition probability of a MC can be expressed as(7)Pijn=PXm+n=j|Xm=i,(8)Pijm+n=∑pikmpkjn.As part of the process of developing a gray MC, it is vital to rely on historical data in order to anticipate future cash flows based on previous state predictions. TheGM1,1 model, which is used in traditional gray forecasting theory, forecasts the value at time t = n+1 based on the collected data up to time t = n and a half. This method does not take into account the timeliness of forecasting the future based on historical data, which is why it is not included in the enterprise value calculation. The historical data with a lengthy interval from the research time point may minimize the reference effect of the prediction, resulting in a certain departure from the forecast result when forecasting the free cash flow of the new period in the assessment. The latest data information x0n+1 obtained using equation (9) by gray prediction is appended to the original data whereas the oldest data information contained in the original data is eliminated, and a new sequence of data information is used to repeat the GM1,1 model prediction step, to expand the correctness of gray MC by incorporating new data as soon as it becomes available.(9)X10=X02,X03,⋯,X0n+1,X20=X03,X04,⋯,X0n+2,⋮Xk0=X0k+1,X0k+2,⋯,X0n+k.An acceptable state division standard must be developed before the establishment of a MC. The sample mean - standard deviation state division method and the K-means algorithm are two of the most extensively utilized state division methods today. The sample mean - standard deviation approach is one of them, and it is based on mathematical statistics, with average and standard deviation (SD) serving as the criteria for division. This technique solely reflects the sample mean as the center of the index and does not take into account the impact of the research item itself on the results according to statistical principles. K-means technique is utilized for clustering the sample set by specifying the number of categories ask, and the number of categories is subject to a certain amount of subjectivity in the formulation of the algorithm. This work seeks to incorporate the Fisher optimal partitioning method into the MC state partitioning to report the inadequacies of the previous state partitioning approaches. Finally, according to GM + MC, a prediction model is obtained. The S(k) is calculated using(10)Sk=Sk−1+Ds+1,n.


## 3.1. Construction of the Indicator System and Data Sources

This research is based on the findings of Ioncică et. al [15]. The proposed research chooses the scale index, benefit index, and structure index as indicators of the tourism economic system. The academic circles have yet to form a unified standard for evaluating indicators of the tourism economy while constructing the index system. The ecological environment system’s indexes are the quality index, pressure index, and protection index. The data for this study came primarily from the “Hainan Provincial Statistical Yearbook” and “Hainan Provincial Environmental Status Bulletin” from 2012 to 2021, and other data came from official government ministries’ websites. Surveys or interpolation procedures are mostly utilized to get missing annual statistics data for particular variables. The MC method is utilized to determine the forecast values for the future data from 2022 to 2025.


## 3.2. Research Methods

Initially, this research study utilizes the multifactor comprehensive index evaluation method to design a complete benefit evaluation model. The model weights each index item by item to produce the benefit evaluation index. Each system’s comprehensive benefit evaluation index is calculated using(1)αx=∑i=1naixi′,(2)βy=∑j=1nbiyj′.In this equation,α(x) represents an evaluation index for the tourism economic benefit, β(y) represents an evaluation index for the ecological environment benefit, ai represents the weights of tourism economy, bi represents the ecological environment benefits, x’i represents the standardized values of the tourism economy, and yj′ represents the standardized values of ecological environmental benefits.The larger the difference between the values ofα(x) and β(y), the higher will be the comprehensive benefit evaluation index and the better will be the development of corresponding index. On the contrary, the smaller the outcomes of α(x) and β(y), the greater would be the probability of success. It is demonstrated that the lower the complete benefit evaluation index, the lower is also the development degree of the related index. It is also possible to compare the data acquired by the use of equations (1) and (2). Table 1 displays the results of the examination of the tourism economy and the different types of ecological environments.Table 1
Development type.
αx vs βyαx<βyαx=βyαx>βyTypeTourism development lags behindSimultaneous developmentEcological development lagThis research introduces the index of the degree of coupling to assess the coupling and coordination ofα(x) and β(y). The coupling coordination degree is assessed using(3)C=4αxβyαx+βy2k,(4)D=CT,(5)T=aαx+bβy,where, C is the degree of coupling, k is the adjustment coefficient, D is the coupling coordination degree, and T establishes a quantitative connection between the two systems.By reflecting the comprehensive and coordinated development level of the two,a and b in T are undetermined coefficients. In social development, the economy of tourism and ecological environment are equally important, so a and b are both 0.5. It is necessary to employ a comprehensive index, such as D; in order to reflect the entire benefits of the αx and βy, D is classified and graded as stated in Table 2.Table 2
Division of Harmonized Development Level.
D0≤D≤0.20.2<D≤0.40.4<D≤0.60.6<D≤0.80.8<D≤1LevelSeverely disorderedModerately disorderedBarely coordinatedModerately coordinatedHighly coordinatedMarkov chains (MC) represent random processes with parametric and discrete properties. This is mathematically defined as follows:Assuming the previous stateX0,⋯,Xn−1 and the current state Xn, the conditional distribution of the future Xn+1 is autonomous of the previous state and only relies on the current one. That is, for any n ≥ 0, and any state i,j, we can get the following equation:(6)PXn+1=j|Xn=i,Xn−1=in−1,⋯,X1=i,X0=i0=PXn+1=j|Xn=i.The conditional probabilityPXn+1=j|Xn=i represents the one-step transition probability of the MC Xn, denoted as pij, indicating that the probability of one-step transition. Random MC transition probability is only related to state i,j.The n-step transition probability of a MC can be expressed as(7)Pijn=PXm+n=j|Xm=i,(8)Pijm+n=∑pikmpkjn.As part of the process of developing a gray MC, it is vital to rely on historical data in order to anticipate future cash flows based on previous state predictions. TheGM1,1 model, which is used in traditional gray forecasting theory, forecasts the value at time t = n+1 based on the collected data up to time t = n and a half. This method does not take into account the timeliness of forecasting the future based on historical data, which is why it is not included in the enterprise value calculation. The historical data with a lengthy interval from the research time point may minimize the reference effect of the prediction, resulting in a certain departure from the forecast result when forecasting the free cash flow of the new period in the assessment. The latest data information x0n+1 obtained using equation (9) by gray prediction is appended to the original data whereas the oldest data information contained in the original data is eliminated, and a new sequence of data information is used to repeat the GM1,1 model prediction step, to expand the correctness of gray MC by incorporating new data as soon as it becomes available.(9)X10=X02,X03,⋯,X0n+1,X20=X03,X04,⋯,X0n+2,⋮Xk0=X0k+1,X0k+2,⋯,X0n+k.An acceptable state division standard must be developed before the establishment of a MC. The sample mean - standard deviation state division method and the K-means algorithm are two of the most extensively utilized state division methods today. The sample mean - standard deviation approach is one of them, and it is based on mathematical statistics, with average and standard deviation (SD) serving as the criteria for division. This technique solely reflects the sample mean as the center of the index and does not take into account the impact of the research item itself on the results according to statistical principles. K-means technique is utilized for clustering the sample set by specifying the number of categories ask, and the number of categories is subject to a certain amount of subjectivity in the formulation of the algorithm. This work seeks to incorporate the Fisher optimal partitioning method into the MC state partitioning to report the inadequacies of the previous state partitioning approaches. Finally, according to GM + MC, a prediction model is obtained. The S(k) is calculated using(10)Sk=Sk−1+Ds+1,n.


## 4. Results and Discussion

The creation of the Hainan Free Trade Port is intended to promote the coordinated growth of the tourism economy and the preservation of the natural environment. In Hainan’s tourism industry, the ecological environment serves as the cornerstone for success. It is hoped that quick expansion of the tourism industry will encourage accelerated development and building of the Hainan Free Trade Port, thereby providing sufficient funding sources for the preservation of the natural environment. For example, we assume that the comprehensive benefit index is composed of the tourism economic indexαx and the ecological environment index βy calculated from 2012 to 2021 using the comprehensive benefit evaluation model of the αx and βy, respectively. And the results of the calculation are depicted in Table 3.Table 3
2012–2021 Hainan Tourism Economic Index indicators.
YearαxβyCDLevel20120.190.410.440.48Barely coordinated20130.150.590.390.39Barely coordinated20140.190.380.410.47Barely coordinated20150.190.350.380.46Barely coordinated20160.200.250.410.48Barely coordinated20170.280.320.430.56Barely coordinated20180.460.430.510.64Moderately coordinated20190.590.370.560.69Moderately coordinated20200.650.440.630.74Moderately coordinated20210.570.510.620.72Moderately coordinatedFigure1 displays that the changing trend of the comprehensive benefit index of the two is developed, using the relevant indicators of C and D of Hainan’s αx and βy from 2012 to 2021. The findings of the study demonstrate that the complete benefit index of αx and βy evolves continually with the passage of time and exhibits distinct stage features at different points in time. Since 2013, the comprehensive benefit index for Hainan Province has been declining, and the αx index has been decreasing more slowly than βy index, indicating that the αx index has made a little contribution to the comprehensive benefit index.Figure 1
Changing trends in 2012–2021 Hainan Tourism Economic Index.In this instance, the degree ofαx advantages can be increased by diversifying tourism activities and increasing the rate at which tourism resources are utilized, in order to achieve the coordinated growth of the tαx and βy, as previously stated. From 2017 to 2021, the comprehensive assessment index for the province of Hainan is expected to increase at a high pace. It is currently more positive than the βy index, showing that the tourism economic index has contributed more to the expansion of the total benefit index at this point. From 2012 through 2021, the comprehensive benefit index of Hainan Province mainly displayed a fluctuating rising trend, except the years 2012 and 2013. The total benefit index in 2021 increased by 46.33 percent as compared to the index in 2012.The values of the C andD of Hainan’s αx and βy from 2012 to 2021 are calculated with the help of the C and D models, which are based on the coupling degree and coupling coordination degree models (see Table 3). Following additional data processing, a trend map depicting the degree of C and D between αx and βy on the island of Hainan from 2012 to 2021 is created (see Figure 2). Figure 2 shows that the C remained in the range of 0.38 to 0.43 from 2012 to 2017, indicating that αx and βy in Hainan Province are highly correlated, with the αx and βy reaching a state of a virtuous circle between them. It is possible that the quick development of the tourism business has resulted in some damage to βy between 2017 and 2021, as the C increased from 0.43 to 0.63 during this period. Overall, the degree to which the αx of Hainan is linked to the island’s βy increased from 2012 to 2021, indicating an overall rising trend.Figure 2
2012–2021 Hainan Tourism Economic Index ofC and D.The original data used in this paper is theD calculation data of the αx and βy in Hainan Province from 2012 to 2021. With the help of MATLAB software, the αx and βy of Hainan Province from 2022 to 2025 are analyzed in accordance with the GM + MC model established in this paper. By running a dynamic simulation, we can anticipate the degree of coupling coordination, and the results are presented in Figure 3.Figure 3
2022–2025D values.The development of Hainan’sαx and βy in tandem with and in coordination with one another is a crucial step in the establishment of the Hainan Free Trade Port. As a result, this study brings together the most important qualities of the Free Trade Port and makes the following recommendations.In the first instance, we take advantage of the potential to establish a national ecological civilization pilot zone in order to investigate the integrated growth of the tourism economy and the natural environment. The state has granted Hainan the strategic positioning of the National Ecological Civilization Pilot Zone in the form of legislation, which indicates the direction in which Hainan should proceed to accelerate the integrated growth of theαx and βy. A total of three recommendations are made in this regard. In the first place, it is necessary to investigate and apply the value realisation mechanism of ecological products, increase self-growth ability, improve hematopoietic function, and realize the coordinated development of ecotourism, eco civilization, and eco culture. We establish carbon sink trading and carbon inclusive mechanisms, establish test sites for international carbon emissions trading sites, investigate and implement dual control actions on total energy consumption as well as total carbon emissions and intensity, and promote the green and low-carbon transformation of industry, energy, and transportation infrastructures among other things.Twofold, based on safeguarding and restoring the existing blue carbon ecosystem, in-depth research into the distribution of blue carbon and the increase in sinks will lay the groundwork for rationally exploiting the development potential of the blue carbon ecosystem and expanding various types of carbon sink demonstration projects. As a result of the successful experience gained from the construction of marine ecological pastures, the carbon sequestration mechanism, and sink increase model of ecological fisheries can be investigated on a pilot scale. To establish Hainan’s characteristic national ecological civilization pilot zone, it is necessary to promulgate local laws and regulations or normative documents that are appropriate for the purpose, such as the formulation of the “Implementation Regulations on the Coordinated Development of Tourism Economy and Ecological Environment of Hainan Free Trade Port,” which provides the legal framework for the establishment of Hainan’s characteristic national ecological civilization pilot zone.Second, the expansion of tourism will contribute to an increase in the level of consumption in the local economy. On the island of Hainan, new hot spots and new regions of tourism consumption should be aggressively developed, and the level of local tourism consumption should be raised to that of worldwide high-end tourism consumption. Visits to the Nanshan Cultural Tourism area, Yanoda Rainforest Cultural Tourism area, Wuzhizhou Island Tourism area, and Boundary Island Tourism area among other places, are recommended to tap the potential of Hainan’s tourism consumption and explore a new path for the integrated development of high-end tourism consumption and ecotourism. Hainan will be transformed into a new type of international tourism consumption destination characterized by good ecology, a comfortable environment, a diverse range of tourism types agglomeration of brands, and distinctive characteristics. Duty-free shops will be established in 5A-level scenic spots with high traffic to realize the integrated development of high-end tourism consumption and ecotourism.As a third option, consider using a tropical rain forest national park as a testbed for exploring coordinated development. Under the “Hainan Free Trade Port Law of the People’s Republic of China,” which is required to apply differentiated control over the use of natural ecological space, and establish a natural reserve system with national parks as the primary component. Consequently, Hainan should establish a high-quality tropical rain forest national park, investigate and implement the path to realize the value of ecological products, convert high-quality ecological resources into ecological assets, actively cultivate well-known brands of ecological products such as mango, lotus mist, and lychee, and promote the formation of new ecological conservation areas in the central mountainous region. pattern. Using the Hainan Tropical Rainforest National Park as a focal point, we will work to preserve and develop the Li and Miao cultures through education and outreach. It is recommended that the general control area of tropical rain forest national parks must be used scientifically to moderately promote ecotourism to protect the environment.


## 5. Conclusion

Even though the sudden new crown pneumonia epidemic has had a noteworthy effect on the industry of tourism, the momentum of tourism booming will not be altered as a result of it. There is a reason to believe that the new momentum of economic development, with new industries, new business models, and new modes as the main content will achieve rapid growth against the trend, including the new momentum of digitalization and networking to contribute more and more to economic development. It is realistic to anticipate that tourism will emerge as an important industry in China’s economy and society shortly, contributing to the country’s long-term development. In this paper, the number of duty-free shoppers on the outlying islands, the amount of money spent on tax-free shopping on the outlying islands per capita, the number of ecological civilization villages, and other characteristic indicators are constructed against the backdrop of the era of free trade port. With the help of Markov chain, the development trend of the tourism economy is predicted. At the end of the paper, taking into consideration the features of Foreign Trade Zone (FTZ) era, recommendations are given in the areas of national ecological civilization pilot zone, international tourism consumption center, and the creation of tropical rainforest national parks.



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*Source: 8726206-2022-06-21.xml*