bluuebunny/crossref_metadata_2025 huggingface dataset:
Antecedents of Purchase Intention at Starbucks in the Context of Covid-19 Pandemic
Authors: Shim Jimin , Moon Joonho , Song Myungkeun , Lee Won Seok
Published: February 2021

The purpose of this research is to examine the determinants of coffee shop purchase intention. The research domain is Starbucks, which is the brand ranked first in the coffee shop market. This study selects healthiness, hygiene, quarantine, ease of app use, and environmental responsibility as candidates for the antecedents of purchase intention. For hypothesis testing, this research used a survey and recruited survey participants using Amazon Mechanical Turk, and carried out multiple linear regressions to test research hypotheses. The number of valid observations for the data analysis is 474. It was found that purchase intention is positively influenced by healthiness, hygiene, quarantine, and ease of app use. However, environmental responsibility was identified as a nonsignificant attribute to account for purchase intention. Practical implications are presented for coffee shop management. The outcomes contribute to the literature by scrutinizing café customers’ purchase intention with various attributes.
The Effect of Irrigation Rate on the Water Relations of Young Citrus Trees in High-Density Planting
Authors: Hamido Said A. , Morgan Kelly T.
Published: February 2021

The availability and proper irrigation scheduling of water are some of the most significant limitations on citrus production in Florida. The proper volume of citrus water demand is vital in evaluating sustainable irrigation approaches. The current study aims to determine the amount of irrigation required to grow citrus trees at higher planting densities without detrimental impacts on trees’ water relation parameters. The study was conducted between November 2017 and September 2020 on young sweet orange (Citrus sinensis) trees budded on the ‘US-897’ (Cleopatra mandarin x Flying Dragon trifoliate orange) citrus rootstock transplanted in sandy soil at the Southwest Florida Research and Education Center (SWFREC) demonstration grove, near Immokalee, Florida. The experiment contained six planting densities, including 447, 598, and 745 trees per ha replicated four times, and 512, 717, and 897 trees per ha replicated six times. Each density treatment was irrigated at 62% or 100% during the first 15 months between 2017 and 2019 or one of the four irrigation rates (26.5, 40.5, 53, or 81%) based on the calculated crop water supplied (ETc) during the last 17 months of 2019–2020. Tree water relations, including soil moisture, stem water potential, and water supplied, were collected periodically. In addition, soil salinity was determined. During the first year (2018), a higher irrigation rate (100% ETc) represented higher soil water contents; however, the soil water content for the lower irrigation rate (62% ETc) did not represent biological stress. One emitter per tree regardless of planting density supported stem water potential (Ψstem) values between −0.80 and −0.79 MPa for lower and full irrigation rates, respectively. However, when treatments were adjusted from April 2019 through September 2020, the results substantially changed. The higher irrigation rate (81% ETc) represented higher soil water contents during the remainder of the study, the lower irrigation rate (26.5% ETc) represents biological stress as a result of stem water potential (Ψstem) values between −1.05 and −0.91 MPa for lower and higher irrigation rates, respectively. Besides this, increasing the irrigation rate from 26.5% to 81%ETc decreased the soil salinity by 33%. Although increasing the planting density from 717 to 897 trees per hectare reduced the water supplied on average by 37% when one irrigation emitter was used to irrigate two trees instead of one, applying an 81% ETc irrigation rate in citrus is more efficient and could be managed in commercial groves.
Integrated Survival Model for Predicting Patent Litigation Hazard
Authors: Kim Youngho , Park Sangsung , Lee Junseok , Jang Dongsik , Kang Jiho
Published: February 2021

Patent litigation occurs when a company’s product or service violates the scope of another company’s patent rights. When they occur, companies suffer a disruption to the sales of their products and services, thus hindering the sustainability of their business activities. For this reason, companies have established and analyzed wide-ranging strategies to prevent patent litigation. Of those, statistical and machine learning-based quantitative methods using patent big data have several advantages, such as a reduced cost and objective results. Existing quantitative methods analyze patent information and litigation based on the time of data collection. However, the values of patents and their litigation hazards change over time. In addition, the existing methods do not take into account censored data; that is, patents that may result in litigation after the data is collected. In this paper, to solve this problem we propose an integrated survival model that considers censored data and predicts patent litigation hazards over time. The proposed model is a non-parametric survival analysis method based on a random survival forest. It uses pre-trained word2vec and clustering to effectively reflect the technology fields as well as the quantitative information of the patent. The word2vec is a technique for natural language processing and enables the use of patent text information. In order to examine the practicality of the integrated survival model, an experiment is conducted with patent big data related to sensor semiconductors based on AI technology applicable to robotics. In the experiment, it was found that the litigation hazard occurred 150 months after the patent application and increase rapidly from 200 months. Furthermore, the proposed model showed better predictive performance than other survival analysis models. The proposed model could be used by potential defendants to protect their patents.
What Brings Female Professionals to Entrepreneurship? Exploring the Antecedents of Women’s Professional Entrepreneurship
Authors: Choi So Young , Kim Sang-Joon
Published: February 2021

This study explores how female professionals engage in starting their own businesses, known as professional entrepreneurship. In particular, this study specifies what factors foster the likelihood of self-employment of female professionals. Drawing upon the push and pull theories of entrepreneurship, we argue that individual capabilities (as a pull factor) make the self-employment of female professionals less likely, while discrimination experiences (as a push factor) make the self-employment of female professionals more likely. Given such bifurcated effects of these factors, we examine the combinatory effects of individual capabilities and discrimination experiences (which are specified as attribute-based and family-based discrimination experiences) on the rate of self-employment of female professionals. With a sample of 1356 female lawyers in the U.S., we test our hypotheses predicting the rate of self-employment with respect to prior salary and discrimination experiences. Our results reveal that prior salary (a pull factor) motivates female lawyers to stay at the traditional law firms, whereas attribute-based discrimination experiences (a push factor) motivate them to open their own office. Furthermore, we find that such a push effect is pronounced only among the female lawyers with lower salaries. Then, the empirical findings are discussed to elaborate the process of female professionals’ entrepreneurship.
Effects of Land-Use Characteristics on Transport Mode Choices by Purpose of Travel in Seoul, South Korea, Based on Spatial Regression Analysis
Authors: Min Byunghak , Lee Gunwon , Kim Seiyong
Published: February 2021

The objective of this study was to identify the effects of land-use characteristics on the transport mode choices of people according to their purpose of travel. Land-use characteristics consisting of variables associated with density, diversity and accessibility were selected as independent variables. The volume of traffic entering each administrative neighborhood was extracted to establish travel data as the dependent variable. We compared and analyzed the results derived from ordinary least squares (OLS) analysis and spatial regression (SR) analysis. The results showed that the explanatory power of the SR model was higher than that of the OLS model. The results in this study reveal that the effects of land-use characteristics on travel show clear differences according to the transport mode, more so than according to the purpose of travel. Moreover, the results showed that an increase in the level of variables associated with density does not always facilitate the use of non-motorized or public transit modes, nor does it always deter the use of personal motorized modes. The findings in this study are significant in a knowledge-sharing context, as they present the effects of land-use characteristics on the volume of traffic in high-density cities, using Seoul as a case study.
Mandatory CSR Disclosure, CSR Assurance, and the Cost of Debt Capital: Evidence from Taiwan
Authors: Kuo Lopin , Kuo Po-Wen , Chen Chun-Chih
Published: February 2021

This study examined the impact of mandatory corporate social responsibility (CSR) disclosure, CSR assurance and the reputation of assurance providers (accounting firms) on the cost of debt capital. Our difference-in-difference research design in conjunction with univariate and multiple regression analysis was assessed using a large sample of firms listed on the Taiwan Stock Exchange and the Taipei Exchange. Our empirical results revealed that mandatory CSR assurance on CSR disclosure provided by accounting firms tended to reduce the cost of debt capital. However, contrary to expectations, the reputation of the accounting firm (Big 4 accounting firms vs. non-Big 4 accounting firms) tasked with providing CSR assurance did not have a significant effect on the cost of debt capital. These results have implications for firms seeking an assurance provider as well as for Big 4 accounting firms. These results also provide specific evidence relevant to government agencies seeking to update policies and extend the scope of mandatory CSR assurance to other environmentally sensitive industries.
Potential Applications of Native Cyanobacterium Isolate (Arthrospira platensis NIOF17/003) for Biodiesel Production and Utilization of Its Byproduct in Marine Rotifer (Brachionus plicatilis) Production
Authors: Zaki Mohamed A. , Ashour Mohamed , Heneash Ahmed M. M. , Mabrouk Mohamed M. , Alprol Ahmed E. , Khairy Hanan M. , Nour Abdelaziz M. , Mansour Abdallah Tageldein , Hassanien Hesham A. , Gaber Ahmed , Elshobary Mostafa E.
Published: February 2021

To achieve strong, successful and commercial aqua-biotechnological microalgae applications, screening, isolation, molecular identification, and physiological characterizations are needed. In the current study, a native cyanobacteria strain Arthrospira platensis NIOF17/003 was isolated from the surface water of El-Khadra Lake, a saline-alkaline lake located in Wadi El-Natrun, Egypt. The cyanobacterium was phylogenetically identified by 16S rRNA molecular marker and deposited in the GenBank database (accession number MW396472). The late exponential phase of A. platensis NIOF17/003 was reached at the 8th day of growth using Zarrouk medium, with a recorded dry weight (DW) of 0.845 g L−1. The isolated strain showed 52% of protein, 14% of carbohydrate, biomass productivity of 143.83 mg L−1 day−1, 8.5% of lipid, and lipid productivity of 14.37 mg L−1 day−1. In general, the values of cetane number, iodine value, cold filter plugging point (52.9, 85.5 g I2/100 g oil, and −2.2 °C, respectively) of the isolated fatty acid methyl esters are in accordance with those suggested by international standards. Besides, applying algal-free lipid (FL) as biodiesel byproduct in the production of rotifer (Brachionus plicatilis) revealed that a 0.6 g L−1 FL significantly increased the rotifer population females carrying eggs, confirming that FL can be used efficiently for B. plicatilis production. The current study concluded that the new isolate A. platensis NIOF17/003 is a promising strain for double sustainable use in biodiesel production and aquaculture feed.
Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China
Authors: Yao Mengchao , Zhang Yihua
Published: February 2021

In the recent 10 years, China’s housing prices and land prices have risen rapidly, resulting in precious land resources, thus restricting the development of the cities. How to effectively measure urban land-use efficiency and how to optimize it has become a stumbling block on the road of sustainable development in China. This article focuses on the vital province in southwest China—Sichuan Province, which is facing the problem of insufficient land-use efficiency and uses the data of 32 cities from 2003 to 2018 to carry out the research. Based on the measurement results of urban land-use efficiency in Sichuan Province and its temporal and spatial evolution characteristics, this paper uses the SDM model to verify that the land-use efficiency can be optimized from the three aspects of innovation, industrial structure, and economic connections. The conclusion shows: (1) There is a weak decoupling relationship between urban land use and economic development in Sichuan Province. The urban land-use efficiency has the characteristics of polarization of more than two ends and less in the middle, but the gap is gradually reduced; (2) Time series level, urban land-use efficiency in various regions is increasing, and potential benchmark technology progress is the main reason for the increase; (3) At the spatial distribution level, urban land-use efficiency has spatial autocorrelation, forming an obvious “center-periphery” distribution pattern; (4) Innovation, economic connection, and industrial structure optimization can promote the improvement of land-use efficiency, and economic connection has a positive spillover effect on the land-use efficiency of surrounding areas. Accordingly, this study puts forward some targeted suggestions on improving urban land-use efficiency in Sichuan Province.
Effects of Increase in the Cost of Building Materials on the Delivery of Affordable Housing in South Africa
Authors: Alabi Bimpe , Fapohunda Julius
Published: February 2021

Adequate provision of affordable human settlements is a huge challenge in South Africa since its independence. This paper investigates the effects of the cost increase of building materials on affordable housing delivery in South Africa. With potential solutions for cost minimisation of building materials, with the aim of achieving affordable housing delivery in South Africa are provided. This study uses a sequential mixed methods approach, wherein surveys were conducted among the construction professionals (project managers, site managers architects, site engineers, quantity surveyors, contractors, building materials suppliers, and government workers) in the construction industry within Cape Town, South Africa, who were considered as the research participants. The qualitative data obtained from the survey exercise were analysed using content analysis, while the quantitative data were analysed using a descriptive statistical technique on SPSS. The findings attained show fluctuation in construction cost and a rise in maintenance cost (caused by poor workmanship) as significant effects in the cost increase of building materials for affordable housing delivery. Adequate application of the recommendations given in this study will minimise the effects of high cost of building materials and enhance affordable housing delivery. Appropriate handling of the findings given in this study will reduce the effects of the high cost of building materials and augment timely delivery of affordable housing and stakeholders’ satisfaction.
Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation
Authors: Alam Syed Shah , Ahmad Maisarah , Othman Abdullah Sanusi , Shaari Zullina Bt Hussain , Masukujjaman Mohammad
Published: February 2021

The objective of this research is to identify the antecedents affecting the behavioural intentions of local housing residences in using photovoltaic (PV) solar technology in their houses. An integrated model of behavioural intention to use PV solar technology is tested in this research. This study combined the theory of reason action (TRA), technology acceptance model (TAM), theory of planned behaviour (TPB) and diffusion of innovation (DOI) theory. Additional factors, including cost, awareness, and government initiatives, are also included in this model. The proposed model findings are based on empirical data from a sample of 382 residences in Malaysia. This study postulates that the intent to use PV solar technology is predicted by trialability, compatibility, perceived ease of use, relative advantage, observability, perceived behavioural control, attitude, subjective norms, cost, government initiatives, and level of awareness towards photovoltaic technology. The integrated model achieves 54% variance explained for usage intention of PV solar technology among housing residences in Malaysia. The findings suggest an integrated model for the acceptance intention of PV solar technology, which can assist stakeholders in planning, evaluating, and executing PV solar technology.
Novel Use of Green Hydrogen Fuel Cell-Based Combined Heat and Power Systems to Reduce Primary Energy Intake and Greenhouse Emissions in the Building Sector
Authors: Renau Jordi , García Víctor , Domenech Luis , Verdejo Pedro , Real Antonio , Giménez Alberto , Sánchez Fernando , Lozano Antonio , Barreras Félix
Published: February 2021

Achieving European climate neutrality by 2050 requires further efforts not only from the industry and society, but also from policymakers. The use of high-efficiency cogeneration facilities will help to reduce both primary energy consumption and CO2 emissions because of the increase in overall efficiency. Fuel cell-based cogeneration technologies are relevant solutions to these points for small- and microscale units. In this research, an innovative and new fuel cell-based cogeneration plant is studied, and its performance is compared with other cogeneration technologies to evaluate the potential reduction degree in energy consumption and CO2 emissions. Four energy consumption profile datasets have been generated from real consumption data of different dwellings located in the Mediterranean coast of Spain to perform numerical simulations in different energy scenarios according to the fuel used in the cogeneration. Results show that the fuel cell-based cogeneration systems reduce primary energy consumption and CO2 emissions in buildings, to a degree that depends on the heat-to-power ratio of the consumer. Primary energy consumption varies from 40% to 90% of the original primary energy consumption, when hydrogen is produced from natural gas reforming process, and from 5% to 40% of the original primary energy consumption if the cogeneration is fueled with hydrogen obtained from renewable energy sources. Similar reduction degrees are achieved in CO2 emissions.
Internal and External Transparency in Public-Private Partnerships—The Case of Barcelona’s Water Provision
Authors: Reig Monica , Gasco-Hernandez Mila , Esteve Marc
Published: February 2021

Despite the efforts devoted to open government, transparency is mainly considered an issue for public organizations. However, various tasks such as public services delivery and management are being increasingly privatized or outsourced to public-private partnerships (PPPs). Our study aims to contribute towards bridging this gap by answering two research questions: (1) What determines internal and external transparency in PPPs? and (2) To what extent does internal transparency contribute to external transparency? We answer these questions through a qualitative case study, consisting of 38 in-depth interviews, on the transparency in water provision and management in the city of Barcelona. We conclude that in the case of PPPs, even when the service provided is excellent, transparency goes beyond making data available; thus, politicians and managers must build a narrative around the data they provide that guides citizens and partners in their interpretation of the information. Furthermore, our results show that internal transparency influences external transparency.
The Sewage Sludge Biochar and Its Composts Influence the Phosphate Sorption in an Alkaline–Calcareous Soil
Authors: Rehman Rabia Abdur , Qayyum Muhammad Farooq , Haider Ghulam , Schofield Kate , Abid Muhammad , Rizwan Muhammad , Ali Shafaqat
Published: February 2021

This study evaluates the potential of sewage sludge, farm manure, rock phosphate, and their composts or biochar as useful materials for phosphorous (P) recovery. An alkaline–calcareous soil was incubated with different compost-based amendments to discern their impact on the P sorption characteristics. The treatments examined consisted of sewage sludge (SS), SS biochar (SS-BC), or composts of SS with rock phosphate (RP) and farm manure (FM) in different ratios, i.e., (i) control, (ii) SS, (iii) SS-BC, (iv) SS50:FM50, (v) SS75:FM25, (vi) SS25:FM25:RP50, (vii) SS50:FM25:RP25, (viii) SS75:FM0:RP25, and (ix) SS50:FM0:RP50. Prior to incubation for 45 days, the composts and biochar treatments combinations were characterized for elemental composition using Fourier transform infrared (FTIR) spectroscopy and X-ray diffraction (XRD) spectroscopy. The treated soils were analyzed for soil pH, electrical conductivity (EC), Olsen’s P, and P adsorption isotherms, at day 5 and 45 of the incubation. Langmuir and Freundlich’s equations were used to calculate P adsorption. Results showed that there was no significant influence on soil pH for any treatment throughout the experiment. However, soil EC decreased significantly for all treatments after 5 days of incubation; however, this effect was diminished after 45 days of incubation. All the treatments significantly decreased P sorption capacity both at the start (day 5) and end of the incubation (day 45) period compared to control. The treatment combination SS25:FM25:RP50 recovered the highest Olsen-P (79.41 mg kg−1). The other treatment combinations including SS and FM also recovered a greater Olsen’s P compared to the control. However, the sole application of only SS showed lower P recovery than the control soil, which further decreased with increase in incubation time. These findings improve our understanding that the stable pool of bioavailable P within an alkaline calcareous soil can be mobilized by using different organic treatment combinations instead of only SS. However, further in situ investigations may help to valorize the potential of sewage sludge, farm manure, rock phosphate, and their composts or biochar to improve P recovery in alkaline–calcareous.
Financial Inclusion, Income Inequality and Sustainable Economic Growth in Sub-Saharan African Countries
Authors: Menyelim Chima M. , Babajide Abiola A. , Omankhanlen Alexander E. , Ehikioya Benjamin I.
Published: February 2021

This study evaluates the relevance of inclusive financial access in moderating the effect of income inequality on economic growth in 48 countries in Sub-Saharan Africa (SSA) for the period 1995 to 2017. The findings using the Generalised Method of Moments (sys-GMM) technique show that inclusive financial access contributes to reducing inequality in the short run, contrary to the Kuznets curve. The result reveals a negative effect of financial access on the relationship between income inequality and economic growth. There is a positive net effect of inclusive financial access in moderating the impact of income inequality on economic growth. Given the need to achieve the Sustainable Development Targets in the sub-region, policymakers and other stakeholders of the economy must design policies and programmes that would enhance access to financial services as an essential mechanism to reduce income disparity and enhance sustainable economic growth.
Nanobiotechnology for Agriculture: Smart Technology for Combating Nutrient Deficiencies with Nanotoxicity Challenges
Authors: Chugh Gaurav , Siddique Kadambot H. M. , Solaiman Zakaria M.
Published: February 2021

Nanobiotechnology in agriculture is a driver for modern-day smart, efficient agricultural practices. Nanoparticles have been shown to stimulate plant growth and disease resistance. The goal of sustainable farming can be accomplished by developing and sustainably exploiting the fruits of nanobiotechnology to balance the advantages nanotechnology provides in tackling environmental challenges. This review aims to advance our understanding of nanobiotechnology in relevant areas, encourage interactions within the research community for broader application, and benefit society through innovation to realize sustainable agricultural practices. This review critically evaluates what is and is not known in the domain of nano-enabled agriculture. It provides a holistic view of the role of nanobiotechnology in multiple facets of agriculture, from the synthesis of nanoparticles to controlled and targeted delivery, uptake, translocation, recognition, interaction with plant cells, and the toxicity potential of nanoparticle complexes when presented to plant cells.
Application of Multi-Actor Multi-Criteria Analysis for Transition Management in Energy Communities
Authors: Lode Maria Luisa , te Boveldt Geert , Macharis Cathy , Coosemans Thierry
Published: February 2021

Energy communities (ECs) play a role in the transition towards a low-carbon economy by 2050 and receive increasing attention from stakeholders within the energy sector. To foster ECs, transition management (TM) is a promising managerial approach to steer and guide the transition towards more sustainable practices. However, TM lacks a consistent methodology that addresses the criticism of the current application. To investigate what a structured and replicable TM approach for ECs can look like, this paper applies the multi-actor multi-criteria analysis (MAMCA), a participative multi-criteria decision method, to a case study EC in the Netherlands involving various stakeholders. The impact of the application on power relations, the political sphere, sustainability conceptualization, guidance of transitions, and representation was analyzed. MAMCA was found useful for multi-stakeholder settings seen in potential ECs, offering a unifying methodology for the practical application of TM. In the EC setting, the added value of MAMCA within TM lies more in the social representation, insight into stakeholder viewpoints, and communication rather than in final decision-making.
The Environmental and Health Impacts of Poverty Alleviation in China: From a Consumption-Based Perspective
Authors: Chen Su-Mei , Ou Jia-Jia , He Ling-Yun
Published: February 2021

Poverty alleviation, environmental protection, and healthcare are the three biggest challenges for the Sustainable Development Goals. However, they are also inter-linked. Therefore, it is imperative to achieve these goals in a compatible manner at the national level. Given the growing consumption caused by poverty alleviation in China, this paper investigates potential impacts of poverty alleviation on the environment and health based on an input–output approach, air quality estimation model, and health loss assessment. Due to data limitations, the base year was set as 2012. Nevertheless, the scientific value of the paper is that it offers an important supplement for a preliminary estimation on a macro level. We find that poverty alleviation could be a substantial threat to the environment and health from a consumption-based perspective, and this trade-off can be explained by the uneven pollution footprints per capita among different income groups. From a policy perspective, the government should promote green production, green lifestyles, and healthcare when reducing poverty.
Design of a Municipal Solid Waste Collection System in Situations with a Lack of Resources: Nikki (Benin), a Case in Africa
Authors: Carlos-Alberola Mar , Gallardo Izquierdo Antonio , Colomer-Mendoza Francisco J. , Barreda-Albert Esther
Published: February 2021

Waste collection is one of the most important public services in a town. However, waste collection has not been effectively implemented in some places due to the lack of economic and management resources. The waste is placed in inappropriate sites with the consequent risks of pollution and unhealthy conditions for the inhabitants. Therefore, establishing a municipal solid waste collection plan can be complicated. The methodologies and techniques that work in countries with medium and high income levels cannot be extrapolated to others with low income level because the boundary conditions are widely different. The aim of this paper is to design a municipal solid waste collection system adapted to this type of situation where not much money can be invested and where data are limited. In these cases, municipalities need to use their existing resources effectively. This paper offers a methodology for these cases as well as a case study. The first step was to gather information about the type and amount of waste generated and the characteristics of the town. The second step was to propose the location of the bins and, finally, the waste collection routes. With all these data, the technical and human resources were set. The methodology used was validated in a real case, the town of Nikki (Benin) in Africa. The collection of three waste fractions was designed with the actual resources of the city in order to offer a realistic implementation. Similar situations can be found around the world, and this case study can be used as an example to improve the waste management practices in some places with low resources.
Waste Management. The Disconnection between Normative and SMEs Reality
Authors: Villegas Pinuer Francisco Javier , Llonch Andreu Joan , Belbeze Pilar López , Valenzuela-Fernández Leslier
Published: February 2021

Waste generation is a critical factor in global environmental degradation, where SMEs have been historically relevant yet underestimated. This study covers the issue of the disconnection between the normative and SMEs reality. Therefore, this research aims to investigate the relationship between waste management norms and their application in Chilean SMEs. For context, Chile is the nation that generates the most amount of waste per capita in the region. Nevertheless, the country also has one of the most rigorous waste frameworks in the region, by means of the Extended Responsibility Producer (ERP) law, which has been gradually implemented since 2016. Data for the study were collected through in-depth interviews with 25 SMEs. The results show the practical limitations of SMEs in complying with the waste law, the lack of traceability in the waste management system, and the need for economic support and technical assistance to improve the use and management of sustainable raw materials. Therefore, this study contributes to the limited knowledge of how SMEs implement waste management norms and their importance in diminishing waste generation and promoting waste hierarchy.
Determinants of Poverty, Self-Reported Shocks, and Coping Strategies: Evidence from Rural Nepal
Authors: Gautam Narayan Prasad , Raut Nirmal Kumar , Chhetri Bir Bahadur Khanal , Raut Nirjala , Rashid Muhammad Haroon U. , Ma Xiangqing , Wu Pengfei
Published: February 2021

This paper assesses the interrelationship between poverty, climatic and non-climatic shocks, and shock coping strategies adopted by farm-based rural households in Nepal. An analysis is based on a comprehensive data set collected from 300 randomly selected households from three purposively chosen villages of Gandaki province. The study utilizes binary and ordered probit regression models to analyze the determinants of poverty, shocks, and coping strategies. Findings reveal that the Dalit (ethnic group), large-sized, and agricultural households are more likely to be characterized as poor. The study further shows that majority of the households are exposed to the severe shock of climatic types. Patterns of shock exposure vary with the household’s characteristics. In particular, poor households in the hills primarily dependent on forest for livelihood are more likely to experience severe shocks. Further analyses indicate that the households ex-post choose dissaving, borrowing, shifting occupation, and migration to cope with severe climatic shocks. The analyses also reveal that the nature of shocks, socio-economic, demographic, geographic contexts, and factor endowments effect adopting a particular coping strategy. Findings suggest household level-specific support should be provided to mitigate the effects of shock, and appropriate measures are taken to protect their means of living.
Environmental Disclosure: Study on Efficiency and Alignment with Environmental Priorities of Spanish Ports
Authors: Castelló-Taliani Emma , Giralt Escobar Silvia , da Rosa Fabricia Silva
Published: February 2021

The purpose of this article is to analyze, in a three-stage research project and from an economic an operational perspective, the relationships between environmental expenses, the improvements achieved in five environmental variables analyzed and efficiency. To achieve these objectives, we analyze sustainability reports and economic data from 24 Spanish ports. The three aforementioned stages of this research are the following: first, the analysis of the sustainability reports to determine the level of information; second, the analysis of the economic and operational efficiency; and, third, the analysis of the alignment with the environmental priorities of the Eco Ports-ESPO (European Sea Ports Organization). The results reveal that (1) the type of traffic does not affect environmental actions; (2) environmental performance (improvements) depends on environmental expenditures; (3) environmental spending and efficiency in port operations are correlated; and (4) environmental spending and port economic efficiency are correlated. The research can contribute to the decision-making process of port managers by revealing that the alignment with the EcoPorts priorities can be important to direct the environmental performance of the ports towards the global interests revealed in this indicator. It also reveals that environmental expenditures and investments may be related to environmental performance and economic and operational efficiency. However, it also reveals that it is important to improve the extent of environmental disclosure to better explain the qualitative and monetary characteristics of each piece of information provided about environmental performance.
Better Understanding the Catastrophe Risk in Interconnection and Comprehensive Disaster Risk Defense Capability, with Special Reference to China
Authors: Kong Feng , Sun Shao
Published: February 2021

Catastrophe risk governance has become one of the key issues affecting global sustainable development. As great changes have taken place in the global social ecosystem, the degree of interconnection between different regions in today’s society is much greater than ever before. Various types of contact networks, e.g., the production chain and supply chain, have been created, which provide diversified channels for the spread of catastrophe risk across time and space. In the context of interconnection, this paper first analyzes the drastic changes of the current disaster risk system. Severe catastrophe risk has posed a great threat to the highly growing international trade, and has also tested the capabilities of national comprehensive disaster defense. Thus, this paper analyzes the main characteristics of China’s comprehensive disaster defense capability, including physical, social, and humanistic defense capability. Finally, this paper puts forward the key points to resolve catastrophe risk from the perspective of decision-makers, including improving the decision-makers’ ability to study and judge the catastrophe chain and the impact of catastrophe, and the national resource reserve capacity to cope with the catastrophe.
Tourism, Transport and Climate Change: The Carbon Footprint of International Air Traffic on Islands
Authors: Dorta Antequera Pedro , Díaz Pacheco Jaime , López Díez Abel , Bethencourt Herrera Celia
Published: February 2021

Many small islands base their economy on tourism. This activity, based to a large extent on the movement of millions of people by air transport, depends on the use of fossil fuels and, therefore, generates a large amount of greenhouse gas (GHG) emissions. In this work, these emissions are evaluated by means of various carbon calculators, taking the Canary Islands as an example, which is one of the most highly developed tourist archipelagos in the world. The result is that more than 6.4 million tonnes (Mt) of CO2 are produced per year exclusively due to the massive transport of tourists over an average distance of more than 3000 km. The relative weight of these emissions is of such magnitude that they are equivalent to more than 50% of the total amount produced by the socioeconomic activity of the archipelago. Although, individually, it is travelers from Russia and Nordic countries who generate the highest carbon footprint due to their greater traveling distance, the British and German tourists account for the greatest weight in the total, with two-thirds of emissions.
Sustainability Evaluation of Renewable Energy Incubators Using Interval Type-II Fuzzy AHP-TOPSIS with MEA-MLSSVM
Authors: Liang Guangqi , Niu Dongxiao , Liang Yi
Published: February 2021

With the development of renewable energy, renewable energy incubators have emerged continuously. However, these incubators present a crude development model of low-level replication and large-scale expansion, which has triggered a series of urgent problems including unbalanced regional development, low incubation efficiency, low resource utilization, and vicious competition for resources. There are huge challenges for the sustainable development of incubators in the future. A scientific and accurate evaluation approach is of great significance for improving the sustainability of renewable energy incubators. Therefore, this paper proposes a novel method combining an interval type-II fuzzy analytic hierarchy process (AHP) with mind evolutionary algorithm-modified least-squares support vector machine (MEA-MLSSVM). The indicator system is established from two aspects: service capability and operational efficiency. TOPSIS integrated with an interval type-II fuzzy AHP is employed for index weighting and assessment. In the least-squares support vector machine (LSSVM), the traditional radial basis function is replaced with the wavelet transform function (WT), and the parameters are fine-tuned by the mind evolutionary algorithm (MEA). Accordingly, the establishment of a comprehensive sustainability evaluation model for renewable energy incubators is accomplished in this paper. The experimental study reveals that this novel technique has the advantages of scientificity and precision and provides a decision-making basis for renewable energy incubators to realize sustainable operation.
How Do Women Overcome Gender Inequality by Forming Small-Scale Cooperatives? The Case of the Agricultural Sector in Uganda
Authors: Theeuwen Amber , Duplat Valérie , Wickert Christopher , Tjemkes Brian
Published: February 2021

In Uganda, the agricultural sector contributes substantially to gross domestic product. Although the involvement of Ugandan women in this sector is extensive, female farmers face significant obstacles, caused by gendering that impedes their ability to expand their family business and to generate incomes. Gender refers to social or cultural categories by which women–men relationships are conceived. In this study, we aim to investigate how gendering influences the development of business relationships in the Ugandan agricultural sector. To do so, we employed a qualitative–inductive methodology to collect unique data on the rice and cassava sectors. Our findings reveal at first that, in the agricultural sector in Uganda, inter-organization business relationships (i.e., between non-family actors) are mostly developed by and between men, whereas intra-organization business relationships with family members are mostly developed by women. We learn that gendering impedes women from developing inter-organization business relationships. Impediments for female farmers include their restricted mobility, the lack of trust by men, their limited freedom in communication, household duties, and responsibilities for farming activities up until sales. Our findings also reveal that these impediments to developing inter-organization business relationships prevent female farmers from being empowered and from attainting economic benefits for the family business. In this context, the results of our study show that grouping in small-scale cooperatives offers female farmers an opportunity to overcome gender inequality and to become economically emancipated. Thanks to these cooperatives, women can develop inter-organization relationships with men and other women and gain easier access to financial resources. Small-scale cooperatives can alter gendering in the long run, in favor of more gender equality and less marginalization of women. Our study responds to calls for more research on the informal economy in developing countries and brings further understanding to the effect of gendering in the Ugandan agricultural sector. We propose a theoretical framework with eight propositions bridging gendering, business relationship development, and empowerment and economic benefits. Our framework serves as a springboard for policy implications aimed at fostering gender equality in informal sectors in developing countries.
Impact of Demographic Structure on Economic Development of Ukrainian Coastal Regions
Authors: Rovný Patrik , Moroz Serhiy , Palkovič Jozef , Horská Elena
Published: February 2021

The main aim of our paper is to study peculiarities of two periods, i.e., the pre-conflict period (2004–2013) and conflict period (2014–2018), in the context of the impact of the demographic structure of the population on the economic growth and development of coastal regions of Ukraine. In the first step of the analysis, we investigate the relationship between the demographic shifts and selected economic indicators, using the Pearson’s correlation coefficient. In the next step of the analysis, we focus on the quantification of the impact of demographic indicators on the economic variables, based on the panel model with fixed effects. The received results confirm that the influence of the demographic stricture on the economic state of coastal regions changed significantly in the conflict period in comparison with the pre-conflict period, especially concerning income, unemployment, and the openness of the economy. Additionally, our findings show that while economic differences existed between the Azov Sea regions and the Black Sea regions in the pre-conflict period, they disappeared due to the economic deterioration of the Azov Sea regions during the conflict period. It is concluded that war affects adversely the population’s demographic structure, which inhibits the growth and economic development of Ukrainian coastal regions.
Significance of Enhanced Oil Recovery in Carbon Dioxide Emission Reduction
Authors: Novak Mavar Karolina , Gaurina-Međimurec Nediljka , Hrnčević Lidia
Published: February 2021

Limiting the increase in CO2 concentrations in the atmosphere, and at the same time, meeting the increased energy demand can be achieved by applying carbon capture, utilization and storage (CCUS) technologies, which hold potential as the bridge for energy and emission-intensive industries to decarbonization goals. At the moment, the only profitable industrial large-scale carbon sequestration projects are large-scale carbon dioxide enhanced oil recovery (CO2-EOR) projects. This paper gives a general overview of the indirect and direct use of captured CO2 in CCUS with a special focus on worldwide large-scale CO2-EOR projects and their lifecycle emissions. On the basis of scientific papers and technical reports, data from 23 contemporary large-scale CO2-EOR projects in different project stages were aggregated, pointing out all the specificities of the projects. The specificities of individual projects, along with the lack of standardized methodologies specific for estimating the full lifecycle emissions resulting from CO2-EOR projects, pose a challenge and contribute to uncertainties and wide flexibilities when estimating emissions from CO2-EOR projects, making the cross-referencing of CO2-EOR projects and its comparison to other climate-mitigation strategies rather difficult. Pointing out the mentioned project’s differentiations and aggregating data on the basis of an overview of large-scale CO2-EOR projects gives useful information for future work on the topic of a CO2-EOR project’s lifecycle emissions.
Blockchain Technology Adoption in Smart Learning Environments
Authors: Ullah Nazir , Mugahed Al-Rahmi Waleed , Alzahrani Ahmed Ibrahim , Alfarraj Osama , Alblehai Fahad Mohammed
Published: February 2021

The conventional education system in developing countries has been enhanced recently by implementing the latest technology of distributed ledger. Disruptive technology is a fundamental requirement for greater accountability and visibility. We explored the key factors affecting the intentions of educational institutions to use blockchain technology for e-learning. This study proposed an expanded model of Technology Acceptance Model by integrating the diffusion of innovation theory. Based on an online survey, the conceptual model was tested and validated using structural equation modeling. The results showed that compatibility had a significant impact on blockchain use in smart learning environments. Other significant effects were also found on adoption of blockchain technology. This study offers an expanded Technology Acceptance Model for implementing blockchain that could assist decision makers in building a smart learning environment for the educational institutes for the emerging economies.
Motivating Collaborative Consumption in Fashion: Consumer Benefits, Perceived Risks, Service Trust, and Usage Intention of Online Fashion Rental Services
Authors: Lee Sae Eun , Jung Hye Jung , Lee Kyu-Hye
Published: February 2021

This study explored the conceptual constructs of consumer benefits and perceived risks of online fashion rental services (Online FRS) and their impacts on usage intention towards Online FRS. The mediating roles of perceived risks and service trust were examined in this research. A survey was performed on female shoppers between the ages of 20–30 residing in a metropolitan area. Results of this research were as follows: (1) The results analyzing the sub-dimension of benefits (Reasonable cost, Wearing at right time, place and occasion (TPO), Space Saving, Entertaining, Product Variety, Style Conformity) and perceived risks (Financial, Performance, Social) clearly presented factorial structures. (2) Reasonable cost, Style Conformity, and Product Variety showed significantly positive influences on usage intentions towards online fashion rental services; in addition, Financial, Performance, and Social risks of rental services had a negative effect on usage intentions. (3) Service trust and consumer perceptions of Financial and Performance risks had important mediating roles in the relationship between consumer benefits and usage intentions towards Online FRS. This study highlighted that consumer benefits, perceived risks, and service trust should be registered among consumers to boost usage intentions towards Online FRS.