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Right-wing and populist support for climate mitigation policies: Evidence from Poland and its carbon-intensive Silesia region Mahir YAZAR, Lukas HERMWILLE, Håvard HAARSTAD Regional Sustainability    2022, 3 (4): 281-293.   DOI: 10.1016/j.regsus.2022.11.001 Abstract （562）   HTML （6）    PDF（pc） （371KB）（55）       Knowledge map    Save Research on environmental behaviour is often overlooked in literature on regime destabilization in energy transitions. This study addresses that gap by focusing on socio-political and demographic factors shaping support for carbon regime destabilization policies in one of the most carbon-intensive regions of Europe. Carbon-intensive industries, especially coal mining and coal-based power generation, are often concentrated in a few carbon-intensive regions. Therefore, decarbonization actions will affect those regions particularly strongly. Correspondingly, carbon-intensive regions often exert significant political influence on the two climate mitigation policies at the national level. Focusing on Poland, we investigate socio-political and demographic factors that correlate with the approval or rejection of the two climate mitigation policies: increasing taxes on fossil fuels such as oil, gas, and coal and using public money to subsidize renewable energy such as wind and solar power in Poland and its carbon-intensive Silesia region. Using logistic regression with individual-level data derived from the 2016 European Social Survey (ESS) and the 2014 Chapel Hill Expert Survey (CHES), we find party-political ideology to be an important predictor at the national level but much less so at the regional level. Specifically, voting for right-wing party is not a divisive factor for individual support of the two climate mitigation policies either nationally or regionally. More interestingly, populism is a strong factor in support of increasing taxes on fossil fuel in the carbon-intensive Silesia region but is less important concerning in support of using public money to subsidize renewable energy in Poland overall. These results show the heterogeneity of right-wing party and populism within the support for the two climate mitigation policies. Socio-demographic factors, especially age, gender, education level, employment status, and employment sector, have even more complex and heterogeneous components in support of the two climate mitigation policies at the national and regional levels. Identifying the complex socio-political and demographic factors of climate mitigation policies across different national versus carbon-intensive regional contexts is an essential step for generating in situ decarbonization strategies. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Transaction costs for collaboration in the watershed management of the Cuyahoga River Area of Concern Scott Daniel HARDY Regional Sustainability    2022, 3 (2): 146-156.   DOI: 10.1016/j.regsus.2022.07.005 Abstract （403）   HTML （2）    PDF（pc） （281KB）（42）       Knowledge map    Save This study examines the transaction costs of collaborative watershed management in the Cuyahoga River Area of Concern (AOC)—one of the 43 geographic areas designated by the U.S. and Canada Great Lakes Water Quality Agreement (GLWQA), where significant impairment of beneficial uses has occurred as a result of human activities. The Cuyahoga River is located in Northeast Ohio, the U. S. and flows through the City of Cleveland before draining into Lake Erie—one of the five Great Lakes of North America. The watershed is degraded due to municipal and agricultural discharges, streambank erosion, and contamination from urban and industrial sources. This research explores how a diverse group of stakeholders convened under the Cuyahoga River AOC Advisory Committee to share information, coordinate activities, agree on activities that restore beneficial uses, and support strategic management actions. In this study, 23 semi-structured interviews with members of the advisory committee were conducted between January 28, 2020 and April 20, 2020, with follow-up emails and phone calls as needed to corroborate information. A review of research articles and government documents supported the interviews, including United States Environmental Protection Agency (U.S. EPA) and Ohio Environment Production Agency (OEPA) reports on the GLWQA and Cuyahoga River Remedial Action Plans. A third source of data is from direct participant observation at quarterly meetings of the advisory committee during 2017-2020, binational AOC conferences in 2017 and 2019, and other professional events geared towards restoring the Cuyahoga River AOC in 2016-2020. Results help to explain the collaborative process within the advisory committee and measure the institutional performance of the advisory committee in terms of efficiency, equitability, accountability, and adaptability. Results of this study include a set of recommendations to help guide group structure and decision-making processes, including (1) employing best available technology to organize AOC events and disseminate information; (2) supporting new members with an orientation and/or mentor to clearly define formal and informal committee rules; (3) assuring equal access to detailed information on management action plans with a real time dashboard; (4) updating voting procedures and the prioritization of management actions; and (5) better incorporating underrepresented local communities and high-level decision makers from municipalities, government agencies, and nongovernmental organizations located within the Cuyahoga River AOC. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Post-displacement status of climate migrants in Rajshahi City, Bangladesh Syed Mahbubur RAHMAN, Mahreen MAMOON, Md Shamimul ISLAM, Saif HOSSAIN, Rezwanul HAQUE, Abul Bashar Md ZUBAIR Regional Sustainability    2022, 3 (3): 183-187.   DOI: 10.1016/j.regsus.2022.09.002 Abstract （398）   HTML （10）    PDF（pc） （331KB）（42）       Knowledge map    Save Some big cities in Bangladesh have been experiencing a massive and rapid influx of rural people due to the impacts of climate change, and therefore the urban administration encounters enormous challenges. This study aims to investigate the drivers of climate-induced migration and the post-displacement status of the migrants living in the urban slum of Rajshahi City. Using a semi-structured questionnaire survey, this study conducted interviews with 50 migrants residing in two slums in Rajshahi City. An interpretive phenomenological analysis (IPA) approach was implemented to evaluate the survey data. This study finds that food insecurity and flood are the two significant climate drivers of migration. Among the non-climate drivers, lack of alternative livelihood is the major reason. It should be noticed that the climate migrants in many cases do not get the opportunity to improve their living standards; they are usually occupied with low-pay professions like maid, van and rickshaw puller, and scrap collector. The study also reveals that migrants, especially females and children, need several basic physiological, economic, social, and health services. Most children have no chance to attend school. Compared to males, females have more opportunities for some support and allowances. Overall, an inadequate level of change has taken place in the lives of migrants, which raises the concern if migration is ever a way to resolve a problem or the beginning of many other problems. Further researches may concentrate on the impact of migration on the dynamics of social capital among slum dwellers. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Export competitiveness of agricultural products and agricultural sustainability in China LONG Yulin Regional Sustainability    2021, 2 (3): 203-210.   DOI: 10.1016/j.regsus.2021.09.001 Abstract （398）   HTML （23）    PDF（pc） （9505KB）（80）       Knowledge map    Save The competitiveness of a country’s agricultural products is not only related to its capacity to export agricultural products, but also to the sustainability of its agricultural sector. How to improve the international competitiveness of a country’s agricultural products while maintaining the sustainability of its agricultural sector is a practical problem of great urgency for a country with a large agricultural sector such as China. With this in mind, this study should have a considerable policy and practical significance. We used two evaluation indices, namely trade competitiveness (TC) index and revealed comparative advantage (RCA) index, to measure and analyze the international competitiveness of six China’s representative agricultural products, i.e., live pigs, live chickens, live cattle, apples, tea, and beer, and to examine the changing trends of these products’ competitiveness during 1994-2013. The results indicate that the export competitiveness of China’s agricultural products is weak and likely to deteriorate further. However, some traditional agricultural products with distinctive regional characteristics, for example, tea and live pigs, are relatively strong internationally. To this end, China should vigorously promote the production and foreign trade in traditional agricultural products with distinctive regional characteristics. At the same time, comprehensive measures should be taken to enhance the international competitiveness of disadvantaged agricultural products. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Understanding the spatiotemporal patterns of nighttime urban vibrancy in central Shanghai inferred from mobile phone data ZHANG Yangfan, ZHONG Weijing, WANG De, LIN Feng-Tyan Regional Sustainability    2021, 2 (4): 297-307.   DOI: 10.1016/j.regsus.2021.11.006 Abstract （396）   HTML （12）    PDF（pc） （3263KB）（116）       Knowledge map    Save In recent years, major cities around the world such as New York in USA, Melbourne in Australia, and Shanghai in China, have planned to boost their nighttime urban vibrancy levels to spur the economy and achieve cultural diversity. The study of nighttime urban vibrancy from the perspective of spatiotemporal characteristics is increasingly being recognized as part of the essential work in the field of urban planning and geography. This research used mobile phone signaling records to measure urban vibrancy in central Shanghai and revealed its spatiotemporal patterns during nighttime. Specifically, this research explored the changes of urban vibrancy within a day, studied the distribution of urban vibrancy during the nighttime, and visually presented the spatiotemporal changes of nighttime urban vibrancy in central Shanghai. Moreover, on the basis of the behavior pattern of each mobile user, we classified nighttime urban vibrancy into three different types: nighttime working vibrancy, nighttime leisure vibrancy, and nighttime floating vibrancy. We then tried to determine how land use affected nighttime leisure vibrancy. The results showed that urban vibrancy in central Shanghai exhibits a periodic pattern over one-day period. A high-level nighttime urban vibrancy belt is present within central Shanghai. Business offices, hotels, entertainment and recreational districts, wholesale markets, and express services contribute most to the vibrancy at nighttime. In addition, the correlation analysis shows that public and commercial facilities generate high levels of nighttime leisure vibrancy than residential facilities. The mixed land use of public and commercial facilities and residential facilities within 500 m is more critical than the mixed use of a single land lot. The research can be a basis for supporting land use planning and providing evidence for policy-making to improve the level of nighttime urban vibrancy in cities. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Charging infrastructure planning for electric vehicle in India: Present status and future challenges Sulabh SACHAN, Praveen Prakash SINGH Regional Sustainability    2022, 3 (4): 335-345.   DOI: 10.1016/j.regsus.2022.11.008 Abstract （384）   HTML （3）    PDF（pc） （584KB）（159）       Knowledge map    Save The challenge to deal with environmental contamination along with national goals such as energy security, reliability, and self-dependency due to depleting fossil fuel resources has motivated researchers to find an alternate solution in the transport sector. Due to this, electrification of the transport sector has become an achievable solution that has caught attention with increasing penetration in the market share. India is a participant in the Paris Agreement which aims to curtail the production of greenhouse gases and limit the escalating temperature. Public intervention and changes in policy and regulations are the key aspects of technological transition. Compared to internal combustion engine (ICE)-based vehicles, the consumers’ frame of mind concerns about adapting to e-mobility is anxiety over charging times and driving range. Thus, the development of charging stations plays a crucial role in promoting electric vehicles (EVs). This study investigates to identify different barriers that exist in the Indian context related to the adoption of e-mobility. Furthermore, this work emphasizes the recent developments in charging infrastructure planning in India. Also, the status of installed charging stations is examined. Developing appropriate charging stations are associated with several challenges, which are also highlighted to provide guidance to public and private entities that can be adopted in their respective business model. As India has the second largest population and is the seventh largest country in the world, the EV adoption rate of India is considerably low compared to other countries; for India, there is a long way to match the growth rate of EV adoption. Hence it becomes essential to develop a robust and suitable charging infrastructure to promote the sale and use of EVs in India. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Evaluation of carbon emissions associated with land use and cover change in Zhengzhou City of China HE Jianjian, ZHANG Pengyan Regional Sustainability    2022, 3 (1): 1-11.   DOI: 10.1016/j.regsus.2022.03.002 Abstract （355）   HTML （13）    PDF（pc） （3234KB）（151）       Knowledge map    Save Studies on carbon emissions associated with land use and cover change (LUCC) are key to understanding the impact of human activities on regional sustainability. In this study, we analyzed the temporal and spatial changes in carbon emissions associated with LUCC for production, living, and ecological spaces in Zhengzhou City of China. Landsat remote sensing images were used to classify the land use and land cover (LULC) types in Zhengzhou City in 1988, 2001, 2009, and 2015. Carbon emissions associated with LUCC were evaluated using a spatial gradient model and the niche mechanism. It was found that during 1988-2015, carbon emissions associated with LUCC in Zhengzhou City increased by 17.1×106 t, while the carbon sink resulted from cultivated land, forests, water bodies, and unused land decreased significantly. Most of the increase in carbon emissions associated with LUCC occurred in the center of the city. The peak carbon emissions were located in the northeastern, southeastern, northwestern, and southwestern regions of Zhengzhou City, and carbon emissions varied considerably in the different spatial gradient rings over time. Among the three spaces, carbon emissions associated with LUCC were mainly affected by the living space. The population size and population urbanization rate were negatively correlated with the ecological space and positively correlated with the production and living spaces. Our results highlight that Zhengzhou City should take the new urbanization path of urban transformation development and ecological civilization construction to ensure the realization of the promised carbon emission reduction targets. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Towards a sustainable campus-city relationship: A systematic review of the literature Ahmed Mohammed Sayed MOHAMMED, Tetsuya UKAI, Michael HALL Regional Sustainability    2022, 3 (1): 53-67.   DOI: 10.1016/j.regsus.2022.03.004 Abstract （349）   HTML （3）    PDF（pc） （1170KB）（124）       Knowledge map    Save The relationship between a university and its city is considered strategical to achieve university targeted ambitions and visions. The university-city relationship is also encouraged for the benefit of the city, as universities unleash their respective cities’ potentials to act as driving forces not only for their local communities, but also for the whole nation. Therefore, maintaining a mutual relationship between the university and the city is considered essential to accomplish strategic goals for both. However, the nature of this relationship is quite complex, overlapped, interconnected, and diverse. Therefore, this paper conducted a systematic review of the literature on university-city and campus-city relationships to evaluate recent research trends to uncover the aspects that connect universities with their respective cities. The search included articles published in 4 different databases from January 1990 to January 2021. A total number of 50 articles were selected in this review. The findings uncovered different aspects that could help or hinder university-city relationship based on the physical and functional linkage between the campus and the city. Moreover, findings have shown that it is necessary to understand universities according to their contextual differences, as universities have shown different impacts on their respective cities in terms of their sizes and locations. Results have also shown that the impact of the physical connection between the university and the city goes far beyond campus’s accessibility as it deeply affects students’ social life as well. Therefore, decision makers, stakeholders, and university administrators need to co-design campus development process especially in the early stages to maximize the mutual benefits of campus-city relationship. The main conclusions of this paper address several perspectives and lessons for a more sustainable campus-city relationship. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatio-temporal characteristics of regional sustainable economic growth drivers of China WANG Linchuan, WU Cisheng, ZHAO Xuyang, LIU Duanyong, ZHANG Tao Regional Sustainability    2021, 2 (3): 239-255.   DOI: 10.1016/j.regsus.2021.11.004 Abstract （333）   HTML （13）    PDF（pc） （1357KB）（68）       Knowledge map    Save Intellectual capital (IC) has become a universal performance indicator for the socioeconomic development of countries and regions. Based on a review of national intellectual capital (NIC) and regional intellectual capital (RIC) evaluation literature, we used the regional intellectual capital indicator (RICI) as a model for China’s RIC evaluation to indirectly understand China’s potential economic growth drivers. Specifically, we collected statistical data of 31 provinces (including municipalities and autonomous regions) in China from 2004 to 2016 to measure RICI and analyze its dynamic characteristics from temporal and spatial perspectives. In this paper, Delphi analysis was used to construct RICI model, and cluster analysis and exploratory spatial data analysis were used to analyze the temporal and spatial characteristics of RICI in China. The results showed that RICI, which represents China’s overall economic growth drivers, increases annually and is consistent with economic development level during the study period. Regarding the geo-spatial space, RICI follows the trend of “high in the east and low in the west”, gradually decreasing from eastern to western China. For RIC structure, the shape of the radar chart of IC structure located in the eastern coastal areas is usually biased towards strong external relational capital, while that in western China is generally biased towards structural capital. For spatial correlation, China’s RICI has dependence on geographical adjacent space and economic space. Our research can provide policy suggestions for the sustainable development of regional economy from an IC perspective. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Nexus between selected macroeconomic variables and carbon emission in Kenya James NJUMWA, Ernest SAINA, Alfred SEREM Regional Sustainability    2022, 3 (3): 233-243.   DOI: 10.1016/j.regsus.2022.10.003 Abstract （332）   HTML （2）    PDF（pc） （419KB）（29）       Knowledge map    Save Agriculture is not only influenced by climate change, but it is also one of the significant contributors of CO2 emission. Understanding CO2 emission and macroeconomic variables is critical to solving the challenges and threats faced by Kenya’s agriculture and environment. This study used the Environmental Kuznets Curve (EKC) hypothesis and the autoregressive distribution lag model (ADLM) to analyze the relationships of CO2 emission with agricultural output, government direct investment, trade openness, and inflation rate in Kenya from 1983 to 2019. The study found that there exists a positive (direct) relationship between CO2 emission and foreign direct investment in the long run in Kenya. Additionally, CO2 emission and trade openness have a negative (indirect) and statistically significant relationship after the error correction term adjustment in the long run. Moreover, the relationship between CO2 emission and agricultural output is positive (direct) and statistically significant in the long run. There is a positive (direct) and statistically insignificant relationship between CO2 emission and inflation rate in the short run. Notably, the EKC hypothesis indicated that the Kenya’s economy is still on the environmental degradation trade-off through the gradual increase of both CO2 emission and agricultural output. Our results are important to Kenya’s economy because the derived insights will assist in relevant departments to formulate sustainable strategies to minimize environmental degradation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Measurement and influencing factors of urban traffic ecological resilience in developing countries: A case study of 31 Chinese cities HU Xiwu, SU Yunqing, REN Kefeng, SONG Fang, XUE Ruixiang Regional Sustainability    2021, 2 (3): 211-223.   DOI: 10.1016/j.regsus.2021.10.001 Abstract （329）   HTML （7）    PDF（pc） （1211KB）（72）       Knowledge map    Save An urban traffic ecosystem is a spatial structure composed of air, population, vehicles, roads, green spaces, and regions. Traffic ecological resilience is a critical issue in high-quality urban development. From the perspective of system optimization, it is important to study the level of urban traffic ecological resilience and analyze its influencing factors. In this study, we evaluated traffic ecological resilience, characterized its spatio-temporal differentiation, and explored its influencing factors by constructing a system of urban traffic ecological resilience and by analyzing the environmental protection and urban construction data in 31 Chinese cities during 2011-2018. By conducting Kernel density analysis, standard deviation ellipse, comprehensive weight determination, panel data regression analysis, and χ2 test, we found that traffic ecological resilience was low on the whole and exhibited the temporal trend of “decreasing first and then increasing” and the spatial characteristic of “high in the east, second in the middle, and low in the west”. The cities with high traffic ecological resilience density values were located in Southeast China and tended to move from northwest to southeast. Governance capability, market activity, technological innovation capability, opening degree, and financial resources had significant effects on urban traffic ecological resilience. Finally, we gave some suggestions for improving the urban traffic ecological resilience in Chinese cities as well as other developing countries in the world. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Regional characteristics and spatiotemporal differentiation of the prevalence of hand, foot, and mouth disease in Xinjiang, China MA Chen, WANG Hongwei, XIE Ling, YI Suyan, TAN Bo Regional Sustainability    2022, 3 (3): 208-222.   DOI: 10.1016/j.regsus.2022.09.001 Abstract （308）   HTML （5）    PDF（pc） （2993KB）（10）       Knowledge map    Save In recent years, the number of hand, foot, and mouth disease (HFMD) cases in China has continued to grow, and the disease has become a serious public health issue. Xinjiang Uygur Autonomous Region is located in the arid areas of Northwest China, where the epidemiological trend of HFMD is gradually increasing and characterized by geographical heterogeneity. In this study, based on the HFMD case data in all counties and cities in Xinjiang, we employed statistical and GIS spatial analyses, and geographic probe models to characterize the spatiotemporal differentiation of HFMD epidemics in Xinjiang during the period of 2009-2018, and quantitatively analyzed the factors influencing the spatial differentiation of HFMD epidemics. The results showed that HFMD incidence rate in Xinjiang had non-stationary temporal characteristics on the interannual and monthly scales, and the monthly variation characteristics of HFMD epidemic were quite different in southern and northern Xinjiang. The spatial distribution characteristics of HFMD epidemics showed a north-south spatial differentiation pattern with the Tianshan Mountains as the boundary; cold spot and hot spot of HFMD epidemics in Xinjiang have shifted from scattered to concentrated, and the spatial differentiation pattern had gradually stabilized. Moreover, the dominant factors influencing the spatial differentiation of HFMD epidemics in Xinjiang were socioeconomic factors, such as per capita GDP and urbanization rate, while the basic factors affecting its spatial differentiation were natural environmental factors. The spatial differentiation and evolution patterns of HFMD epidemics differed between northern and southern Xinjiang. Specifically, the leading role of socioeconomic factors is more obvious in southern Xinjiang than in northern Xinjiang, while natural environmental factors (e.g., dryness and relative humidity) contribute to the prevalence of HFMD epidemics in northern Xinjiang, and the perturbing effect of these factors was more prominent than other factors. The results of this study can provide a scientific basis for the prevention of HFMD epidemics and early warning of HFMD epidemics in Xinjiang. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatial variability and driving factors of soil multifunctionality in drylands of China ZHANG Shihang, CHEN Yusen, LU Yongxing, GUO Hao, GUO Xing, LIU Chaohong, ZHOU Xiaobing, ZHANG Yuanming Regional Sustainability    2022, 3 (3): 223-232.   DOI: 10.1016/j.regsus.2022.10.001 Abstract （301）   HTML （2）    PDF（pc） （1310KB）（131）       Knowledge map    Save Drylands are highly vulnerable to climate change and human activities. The drylands of China account for approximately 10.8% of global drylands, and China is the country most severely affected by aridity in Asia. Therefore, studying the spatial variation characteristics in soil multifunctionality (SMF) and investigating the driving factors are critical for elucidating and managing the functions of dryland ecosystems in China. Based on the environmental factors (mean annual precipitation (MAP), mean annual temperature (MAT), solar radiation (Srad), soil acidity (pH), enhanced vegetation index (EVI), and cation exchange capacity (CEC)) and aridity from the Dataset of soil properties for land surface modeling over China, we used non-linear regression, ordinary least square (OLS) regression, structural equation model (SEM), and other analytical methods to investigate the relationships of SMF with environmental factors across different aridity levels in China. SMF in different dryland regions varied significantly and showed a patchy distribution, with SMF index values ranging from -1.21 to 2.42. Regions with SMF index values from -0.20 to 0.51 accounting for 63.0% of dryland area in China. OLS regression results revealed that environmental factors like MAP, MAT, Srad, pH, EVI, and CEC were significantly related to SMF (P<0.05). MAP and MAT were correlated to SMF at the whole aridity level (P<0.05). SEM results showed that the driving factors of SMF differed depending on the aridity level. Soil pH was the strongest driving factor of SMF when the aridity was less than 0.80 (P<0.001). Both soil CEC and EVI had a positive effect on SMF when aridity was greater than 0.80 (P<0.01), with soil CEC being the strongest driving factor. The importance ranking revealed that the relative importance contribution of soil pH to SMF was greatest when aridity was less than 0.80 (66.9%). When aridity was set to greater than 0.80, the relative importance contributions of CEC and EVI to SMF increased (45.1% and 31.9%, respectively). Our findings indicated that SMF had high spatial heterogeneity in drylands of China. The aridity threshold controlled the impact of environmental factors on SMF. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Exploring the dynamic evolutionary mechanism of game model on the protection of traditional villages LI Jiaqi, JIN Tao, XIANG Wei, HUANG Qinzhen Regional Sustainability    2022, 3 (3): 188-207.   DOI: 10.1016/j.regsus.2022.09.003 Abstract （300）   HTML （6）    PDF（pc） （1942KB）（41）       Knowledge map    Save With the rapid improvement of urbanization and industrialization in countries around the world, how to effectively solve the rapid demise of traditional villages is a social dilemma faced by all countries, which is why a series of relevant protection regulations have been promulgated in different historical periods. However, the formulation of relevant policies is still not scientific, universal, and long-term. In this study, we constructed an evolutionary game model of local governments and residents based on the evolutionary game theory (EGT), which is used to explore the evolutionary stability strategy (ESS) and stability conditions of stakeholders under the premise of mutual influence and restriction. Besides, the study also includes the analysis about the impacts of different influence factors on the evolution tendency of the game model. At the same time, numerical simulation examples were used to verify the theoretical results and three crucial conclusions have been drawn. Firstly, the strategic evolution of stakeholders is a dynamic process of continuous adjustment and optimization, and its results and speed show consistent interdependence. Secondly, the decision-making of stakeholders mainly depends on the basic cost, and the high cost of investment is not conducive to the protection of traditional villages. Thirdly, the dynamic evolutionary mechanism composed of different influence factors will have an impact on the direction and speed of decision-making of stakeholders, which provides the basis for them to effectively restrict the decision-making of each other. This study eliminates the weaknesses of existing research approaches and provides scientific and novel ideas for the protection of traditional villages, which can contribute to the formulation and improvement of the relevant laws and regulations. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Use of the knowledge, attitude, and practice (KAP) model to examine sustainable agriculture in Thailand LIAO Xuewei, Thi Phuoc Lai NGUYEN, Nophea SASAKI Regional Sustainability    2022, 3 (1): 41-52.   DOI: 10.1016/j.regsus.2022.03.005 Abstract （297）   HTML （4）    PDF（pc） （504KB）（188）       Knowledge map    Save Sustainable agriculture plays an important role in achieving sustainable development goals with regard to food security and environmental conservation. Sustainable agriculture relies on sustainable farming practices that reduce greenhouse gas production, the wise use of local natural resources, and reductions in negative impacts on the environment and human health. Sustainable farming practices can be driven by various factors, such as the socio-environmental setting, socio-cognitive factors, agricultural institutions, and policy. This study used the knowledge, attitude, and practice (KAP) model to examine farmers’ knowledge, attitudes, and practices in the area of sustainable agriculture. It also considered the factors affecting farmers’ knowledge, attitudes, and practices. Two different socio-environmental contextual settings in Surin Province (a Thai-Cambodian border province) of Thailand are considered. The results show that there are differences between the two different socio-environmental contextual settings with regard to farmers’ sustainable agricultural practice perceptions, knowledge, and attitudes. Farmers’ perceptions of environmental degradation, the number of years of agricultural experience, and agricultural policy drive farmers’ attitudes and individual sustainable practices. Another major result of the study is that individual farmers’ attitudes and practices promote collective sustainable agricultural behaviors. The implication of these findings is that it is necessary to improve the learning ability of individual farmers on the environment and sustainable agricultural practices through social learning and scientific knowledge dissemination, so as to produce sustainable collective development behaviors. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Willingness of returning migrant workers to purchase houses: A case study of 45 villages in Henan Province, China WANG Yuchan, GAO Genghe, NING Xiaoju, LI Yuanzheng, NIU Ning, GUO Yaqi Regional Sustainability    2022, 3 (2): 133-145.   DOI: 10.1016/j.regsus.2022.07.001 Abstract （293）   HTML （3）    PDF（pc） （624KB）（34）       Knowledge map    Save The willingness of returning migrant workers to purchase houses has an important impact on local urbanization. At present, there are few researches on the willingness of returning migrant workers to purchase houses. The existing researches mostly focus on the perspective of sociology and economics, and few studies are conducted from the perspective of geography. Based on the survey data of 45 villages in Henan Province of China in 2019, this study used binary logistic method to study the influencing factors of the willingness of returning migrant workers to purchase houses. The willingness of returning migrant workers to purchase houses is affected by many factors, such as personal, family, village, and returning factors. Among them, age and returning period are negatively correlated with the willingness of returning migrant workers to purchase houses. Factors such as years of education, years of working, and per capita income of village are positively correlated with the willingness of returning migrant workers to purchase houses. Returning migrant workers in plains and hilly areas are more willing to purchase houses than those in mountainous areas. The formation of the willingness to purchase houses is mainly related to economic foundation, age, marital status, and other factors. Returning migrant workers are becoming more willing to purchase houses, and the expected locations are mainly concentrated in the county seats. In the context of China’s high density of rural population and rapid urbanization, more returning migrant workers are expected to purchase houses in cities and towns for the sake of employment, marriage, children’s education, and access to public services. As a result, there is an extensive market of potential purchasers, which affects the development of the local urban real estate industry and is of great significance for returning migrant workers to truly integrate into the cities. However, some returning migrant workers still choose to purchase houses in villages, mainly affected by traditional concepts, living habits, and the better development of villages. Therefore, it is of great practical significance to explore the willingness of returning migrant workers to purchase houses, so as to master the flow laws and future behavior of returning migrant workers to purchase houses. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Exploring the complex structural evolution of global primary product trade network JIANG Xiaorong, LIU Qing, WANG Shenglan Regional Sustainability    2022, 3 (1): 82-94.   DOI: 10.1016/j.regsus.2022.03.006 Abstract （288）   HTML （7）    PDF（pc） （4539KB）（116）       Knowledge map    Save The production and trade of primary products had a growing impact on the economic security of all countries and regions, and the strategic position of these products in the global trade network was becoming increasingly prominent. Based on complex network theory, this paper explored the spatial pattern and complex structural evolution of the global primary product trade network (GPPTN) during 1985-2015 by using index methods, such as centrality, Sankey diagram, and structure entropy, focusing on the diversified spatial structure of China’s import and export markets for primary products (with exceptions of Taiwan of China, Hong Kong of China, and Macao of China due to a lack of data) and their geographical implications for China’s energy security. The research offered the following key findings. The GPPTN showed an obvious spatial heterogeneity pattern, and the area of import consumption was more concentrated; however, the overall trend was decentralized. The trade center of gravity shifted eastwards and reflected the rise of emerging markets. The overall flow of the GPPTN was from west to east and from south to north. In terms of the community detection of the GPPTN, North America, Europe, and Asia increasingly presented an unbalanced “tripartite confrontation”. China’s exports of primary products were mainly concentrated in the Association of Southeast Asian Nations (ASEAN) and other peripheral regions of Asia, and its imports undergone a major transformation, gradually expanding from the peripheral regions of Asia to Africa, the Middle East, Latin America, and other parts of the world. Energy fuels also became the largest imported primary products. Based on the changing trend of structural entropy and main market share, the analysis showed that the stable supply of China’s energy diversification was gradually realized. In particular, the cooperation dividend proposed by the Belt and Road initiative became an important turning point and a strong support for the expansion of China’s energy market diversification pattern and guarantee of energy security. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Motivations, enablers and barriers to the adoption of climate- smart agricultural practices by smallholder farmers: Evidence from the transitional and savannah agroecological zones of Ghana Philip ANTWI-AGYEI, Emmanuel Mawuli ABALO, Andrew John DOUGILL, Frank BAFFOUR-ATA Regional Sustainability    2021, 2 (4): 375-386.   DOI: 10.1016/j.regsus.2022.01.005 Abstract （285）   HTML （2）    PDF（pc） （584KB）（32）       Knowledge map    Save This paper examined the prioritized climate-smart agricultural practices by smallholder farmers, the motivations of adopting climate-smart agricultural practices, the enablers to the successful adoption of climate-smart agricultural practices, and the barriers to the successful adoption of climate-smart agricultural practices in the transitional and savannah agroecological zones of Ghana. Specifically, we employed ethnographic research using participatory approaches, including two stakeholder workshops and household surveys with 1061 households in the transitional and savannah agroecological zones of Ghana. The weighted average index (WAI) and problem confrontation index (PCI) were used to rank smallholder farmers’ perceived enablers to the adoption of climate-smart agricultural practices and the barriers affecting climate-smart agricultural practices, respectively. Results suggest that the majority of the respondents used a suite of climate-smart agricultural practices, including the timely harvesting of produce and storage, emergency seed banking, appropriate and timely weed and pest control, and early planting as practices to build climate resilience. The majority of smallholder farmers primarily employed climate-smart agricultural practices to improve household food security (96.2%), reduce pests and diseases (95.6%), and obtain higher yields and greater farm income (93.2%). Findings also show that secured land tenure system arrangement, understanding the effects of climate change, and access to sustainable agricultural technologies were ranked the first, second, and third most important enablers to the adoption of climate-smart agricultural practices with the WAI values of 2.86, 2.75, and 2.70, respectively. Key barriers to the successful adoption of climate-smart agricultural practices included incidences of pests and diseases (PCI=2530), inadequate access to agricultural credit (PCI=2502), high cost of improved crop varieties (PCI=2334), and limited government support with farm inputs (PCI=2296). Smallholder farmers need to be better supported through the provision of appropriate institutional and policy arrangements together with improved land management extension advice to overcome these barriers and facilitate the more effective implementation of climate-smart agricultural practices in Ghana. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Illustrating the multi-stakeholder perceptions of environmental pollution based on big data: Lessons from China LIU Haimeng, LIU Huaming, CHENG Yi Regional Sustainability    2022, 3 (1): 12-26.   DOI: 10.1016/j.regsus.2022.03.003 Abstract （284）   HTML （7）    PDF（pc） （3719KB）（89）       Knowledge map    Save The relationship between stakeholders and the environment influences sustainable development and human wellbeing. To illustrate the multi-stakeholder perceptions of environmental pollution in China, we interpreted a feedback loop in the perception-behavior-environment nexus from the perspective of the coupled human-environment system, measured the differences of environmental perceptions among five stakeholders (the public, government, media, companies, and scientists) and regions (including 31 provinces, autonomous regions, and municipalities in China, with exceptions of Taiwan of China, Hong Kong of China, and Macao of China due to a lack of data) using big data, and made a comparison between the perceptions and the actual pollution situation. The results showed that the five stakeholders exhibited similar perceptions of environmental pollution at the national scale, with air pollution being of most concern, followed by water pollution and soil pollution. There were significant spatial differences in environmental perceptions. All stakeholders in the developed regions in eastern China paid relatively high attention to environmental issues, while those in the northwestern regions paid much less attention. There existed a mutual influence and interaction among the different stakeholders. More attention should be paid to air pollution in Xinjiang Uygur Autonomous Region and Ningxia Hui Autonomous Region, water pollution in Hainan Province, Inner Mongolia Autonomous Region, Heilongjiang Province, and Jilin Province, and soil pollution in Hainan Province, Fujian Province, and Jilin Province. This paper provides a research paradigm on multi-stakeholder environmental perceptions based on big data, and the results provide a background reference for regional environmental governance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Assessment of the impact of climate change on the occurrences of malaria, pneumonia, meningitis, and cholera in Lokoja City, Nigeria Isaac Ayo OLUWATIMILEHIN, Joseph Omojesu AKERELE, Tolulope Adedoyin OLADEJI, Mojisola Hannah OMOGBEHIN, Godwin ATAI Regional Sustainability    2022, 3 (4): 309-318.   DOI: 10.1016/j.regsus.2022.11.007 Abstract （283）   HTML （7）    PDF（pc） （1036KB）（78）       Knowledge map    Save This study examined the impact of climate change on the occurrence of malaria, pneumonia, meningitis, and cholera in Lokoja City, Nigeria, with the aim of investigating the spatial distribution and prevalence of the four kinds of diseases as well as the coping strategies of people in the area. We collected the rainfall and temperature data of Lokoja City during 2000-2020 from the National Aeronautics and Space Administration (NASA), and the medical records data of the four kinds of diseases from the Kogi State Ministry of Health. We also conducted a semi-structured questionnaire of 250 residents, who have experienced one of these diseases, to investigate their coping strategies with these diseases. The Pearson correlation and multiple regression analysis were used to research the relationship between the climate parameters and cases of diseases. The result showed annual variations in climatic parameters with R2 values of 0.0557, 0.0009, and 0.4915 for rainfall, maximum temperature, and minimum temperature, respectively. A positive and significant relationship were observed between maximum temperature and malaria (r=0.80), rainfall and malaria (r=0.54), minimum temperature and meningitis (r=0.64), as well as rainfall and cholera (r=0.66) at P<0.05 level. For the regression analysis R2= 0.71, 0.50, and 0.52 for malaria, cholera, and meningitis, respectively at P<0.05 level. During 2000-2020, cases of malaria were highest in Ward A with 15,422, while 715 cases of pneumonia were highest in Kupa North Ward. In Ward A, 3787 cases of cholera were recorded to be the highest, while cases of meningitis were highest in Kupa North Ward with 2383 cases. Investigation revealed that malaria is more common in the wet season, while cholera and meningitis cases were highest in the dry season. The study revealed that the most practiced coping strategy is the use of medications by about 90% of the respondents. More studies are recommended in the study area to establish a causal link between climate change and disease occurrence, and intervention from government in form of prevention and control programmes should be vigorously implemented. Table and Figures | Reference | Related Articles | Metrics | Comments（0）