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A system-integrated approach for the design of tourist areas at the local level under changing conditions: A case study in the Altay Mountains Alexandr Nikolaevich DUNETS, Evgeniya Mikhailovna TABAKAEVA, HAN Fang Regional Sustainability    2024, 5 (2): 100142-.   DOI: 10.1016/j.regsus.2024.100142 Abstract （62）   HTML （12）    PDF （3750KB）（102）       Knowledge map    Save The existing approaches for the design of tourist areas often lead to limited flexibility in project implementation. To realize a more flexible approach, in this study, we formulated a model for planning and designing tourist areas at the local level. Moreover, specific tools for analyzing tourist areas and ensuring sustainable development under changing conditions were developed. This study was conducted in two tourist regions, Biryuzovaya Katun tourist complex and Belokurikha destination (including Belokurikha City with Belokurikha 2 Gornaya tourist complex and surrounding areas), in the Altay Mountains. We employed the recreation opportunity spectrum and proposed a system-integrated programming approach for the design of tourist areas at the destination and site levels. The key of this approach was the collection and analysis of current spatial data, including the spatial distribution of attractions and visitor flows. We constructed heat maps using video recording and unmanned aerial vehicle (UAV) observation data. Moreover, we analyzed the video stream using an image-analyzing framework You Only Look Once (YOLO) v5 software. The heat map of visitor flows based on video recording data in the Andreevskaya Sloboda museum of Belokurikha 2 Gornaya tourist complex allowed us to highlight the most attractive sites in this area and classify them into one of three types: points of functional concentration, points of transitional concentration, and points of attractions. The heat maps in Biryuzovaya Katun tourist complex, created using UAV observation data, allowed us to determine the spatiotemporal patterns of visitor flows and tourists’ preferences throughout the day within four time intervals: 09:00-12:00, 13:00-14:00, 14:00-15:00, and 16:00-18:00 (LST). The maximum visitor flow density occurred from 16:00 to 18:00 in the beach area of the artificial lake. A comparison between the visitor-concentrated sites and the current facilities provided insights into the demand for attractions and facilities and the lacking areas. Heat maps are useful in analyzing the land use at the site level, while zoning based on the recreation opportunity spectrum can be used to design tourist areas at the destination level. The proposed methods for analyzing the use of tourist areas contribute to the development of adaptive tourism design. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatiotemporal dynamics of land use/land cover (LULC) changes and its impact on land surface temperature: A case study in New Town Kolkata, eastern India Bubun MAHATA, Siba Sankar SAHU, Archishman SARDAR, Laxmikanta RANA, Mukul MAITY Regional Sustainability    2024, 5 (2): 100138-.   DOI: 10.1016/j.regsus.2024.100138 Abstract （55）   HTML （13）    PDF （6169KB）（232）       Knowledge map    Save Rapid urbanization creates complexity, results in dynamic changes in land and environment, and influences the land surface temperature (LST) in fast-developing cities. In this study, we examined the impact of land use/land cover (LULC) changes on LST and determined the intensity of urban heat island (UHI) in New Town Kolkata (a smart city), eastern India, from 1991 to 2021 at 10-a intervals using various series of Landsat multi-spectral and thermal bands. This study used the maximum likelihood algorithm for image classification and other methods like the correlation analysis and hotspot analysis (Getis-Ord Gi* method) to examine the impact of LULC changes on urban thermal environment. This study noticed that the area percentage of built-up land increased rapidly from 21.91% to 45.63% during 1991-2021, with a maximum positive change in built-up land and a maximum negative change in sparse vegetation. The mean temperature significantly increased during the study period (1991-2021), from 16.31°C to 22.48°C in winter, 29.18°C to 34.61°C in summer, and 19.18°C to 27.11°C in autumn. The result showed that impervious surfaces contribute to higher LST, whereas vegetation helps decrease it. Poor ecological status has been found in built-up land, and excellent ecological status has been found in vegetation and water body. The hot spot and cold spot areas shifted their locations every decade due to random LULC changes. Even after New Town Kolkata became a smart city, high LST has been observed. Overall, this study indicated that urbanization and changes in LULC patterns can influence the urban thermal environment, and appropriate planning is needed to reduce LST. This study can help policy-makers create sustainable smart cities. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A systematic review of climate change impacts, adaptation strategies, and policy development in West Africa Camillus Abawiera WONGNAA, Alex Amoah SEYRAM, Suresh BABU Regional Sustainability    2024, 5 (2): 100137-.   DOI: 10.1016/j.regsus.2024.100137 Abstract （50）   HTML （13）    PDF （511KB）（188）       Knowledge map    Save Climate change studies are diverse with no single study giving a comprehensive review of climate change impacts, adaptation strategies, and policy development in West Africa. The unavailability of an all-inclusive study to serve as a guide for practitioners affects the effectiveness of climate change adaptation strategies proposed and adopted in the West African sub-region. The purpose of this study was to review the impacts of climate change risks on the crop, fishery, and livestock sectors, as well as the climate change adaptation strategies and climate-related policies aimed at helping to build resilient agricultural production systems in West Africa. The review process followed a series of rigorous stages until the final selection of 56 articles published from 2009 to 2023. Generally, the results highlighted the adverse effects of climate change risks on food security. We found a continuous decline in food crop production. Additionally, the livestock sector experienced morbidity and mortality, as well as reduction in meat and milk production. The fishery sector recorded loss of fingerlings, reduction in fish stocks, and destruction of mariculture and aquaculture. In West Africa, climate-smart agriculture technologies, physical protection of fishing, and inclusion of gender perspectives in programs appear to be the major adaptation strategies. The study therefore recommends the inclusion of ecosystem and biodiversity restoration, weather insurance, replacement of unsafe vessels, and strengthening gender equality in all climate change mitigation programs, as these will help to secure enough food for present and future generations. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A cross-cultural study of sustainable nutrition and its environmental impact in Asia and Europe: A comparison of China and Germany Birgit Anika RUMPOLD, SUN Lingxiao, Nina LANGEN, YU Ruide Regional Sustainability    2024, 5 (2): 100136-.   DOI: 10.1016/j.regsus.2024.100136 Abstract （44）   HTML （17）    PDF （370KB）（16）       Knowledge map    Save Global challenges such as climate change, biodiversity loss, and health crises necessitate a shift towards sustainable diets. Incorporating sustainability into food-based dietary guidelines (FBDGs) is essential for this shift, and cultural considerations also play a vital role, as food culture significantly influences dietary habits. Considering that Asia and Europe exhibit distinct food cultures, tailored approaches are necessary. Additionally, countries face diverse nutritional challenges, ranging from malnutrition to diet-related diseases, and regional variation in environmental impact necessitates context-specific strategies. Achieving sustainable nutrition depends on understanding cultural influences and regional dynamics. This paper compares China’s and Germany’s dietary guidelines and dietary patterns and their impact on sustainability. It shows that Chinese and German FBDGs only slightly differ, despite the different eating cultures and habits of each country. Alone the recommended amounts for eggs and fish are considerably higher in China than in Germany. However, in both China and Germany, actual dietary patterns deviate from the dietary guidelines. In China, concomitant with economic growth and urbanization, a dietary shift towards increased consumption of animal products and decreased consumption of vegetables and cereals has been observed in the last decades, which has led to a decline in nutritional deficiencies but an increase in obesity and overweight. Obesity and overweight are also on the rise in Germany. A dietary shift could therefore also be beneficial for public health. While following the respective national guidelines would benefit the environment, alternative diets such as a plant-based diet offer even lower environmental footprint. Revising guidelines to prioritize sustainability in addition to health aspects while considering regional contexts and cultural preferences is recommended to foster sustainable eating habits globally. This approach is pivotal for promoting dietary shift towards sustainability on a global scale. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Role of self-help groups on socioeconomic development and the achievement of Sustainable Development Goals (SDGs) among rural women in Cooch Behar District, India Debanjan BASAK, Indrajit Roy CHOWDHURY Regional Sustainability    2024, 5 (2): 100140-.   DOI: 10.1016/j.regsus.2024.100140 Abstract （43）   HTML （14）    PDF （611KB）（288）       Knowledge map    Save This study examines the transformative role of self-help groups (SHGs) in the socioeconomic development of rural women in Cooch Behar District, India, and their contribution toward achieving Sustainable Development Goals (SDGs) of the United Nations. In this study, we explored the effect of SHGs on rural women by specifically addressing SDGs, such as no poverty (SDG 1), zero hunger (SDG 2), good health and well-being (SDG 3), quality education (SDG 4), and gender equality (SDG 5). Given this issue, a cross-sectional survey and comparison analyses are needed to assess the socioeconomic development of rural women and their awareness level before and after the participation of rural women in SHGs. The survey conducted as part of this study was divided into three sections, namely, demographic characteristics, socioeconomic development, and awareness level, with each focusing on different aspects. A group of 400 individuals who were part of SHGs completed the questionnaire survey form. The results showed that the participation of rural women in SHGs significantly improved their socioeconomic development and awareness level, as supported by both mean values and t test results. Memberships in SHGs and microcredit programs were the major elements that boosted the socioeconomic development of rural women, which also achieves SDGs 1, 2, 3, 4, and 5. This study revealed that participation in SHGs and related financial services significantly aided rural women in economically disadvantaged communities in accumulating savings and initiating entrepreneurial ventures. Moreover, participation in SHGs was instrumental in enhancing the self-confidence, self-efficacy, and overall self-esteem of rural women. Finally, doing so enabled them to move more freely for work and other activities and to make family and common decisions. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatio-temporal variation of depth to groundwater level and its driving factors in arid and semi-arid regions of India Suchitra PANDEY, Geetilaxmi MOHAPATRA, Rahul ARORA Regional Sustainability    2024, 5 (2): 100143-.   DOI: 10.1016/j.regsus.2024.100143 Abstract （41）   HTML （8）    PDF （2933KB）（119）       Knowledge map    Save Climate change and increasing anthropogenic activities, such as over-exploitation of groundwater, are exerting unavoidable stress on groundwater resources. This study investigated the spatio-temporal variation of depth to groundwater level (DGWL) and the impacts of climatic (precipitation, maximum temperature, and minimum temperature) and anthropogenic (gross district product (GDP), population, and net irrigated area (NIA)) variables on DGWL during 1994-2020. The study considered DGWL in 113 observation wells and piezometers located in arid western plains (Barmer and Jodhpur districts) and semi-arid eastern plains (Jaipur, Ajmer, Dausa, and Tonk districts) of Rajasthan State, India. Statistical methods were employed to examine the annual and seasonal patterns of DGWL, and the generalized additive model (GAM) was used to determine the impacts of climatic and anthropogenic variables on DGWL. During 1994-2020, except for Barmer District, where the mean annual DGWL was almost constant (around 26.50 m), all other districts exhibited increase in DGWL, with Ajmer District experiencing the most increase. The results also revealed that 36 observation wells and piezometers showed a statistically significant annual increasing trend in DGWL and 34 observation wells and piezometers exhibited a statistically significant decreasing trend in DGWL. Similarly, 32 observation wells and piezometers showed an statistically significant increasing trend and 37 observation wells and piezometers showed a statistically significant decreasing trend in winter; 33 observation wells and piezometers indicated a statistically significant increasing trend and 34 had a statistically significant decreasing trend in post-monsoon; 35 observation wells and piezometers exhibited a statistically significant increasing trend and 32 observation wells and piezometers showed a statistically significant decreasing trend in pre-monsoon; and 36 observation wells and piezometers reflected a statistically significant increasing trend and 30 observation wells and piezometers reflected a statistically significant decreasing trend in monsoon. Interestingly, most of the observation wells and piezometers with increasing trends of DGWL were located in Dausa and Jaipur districts. Furthermore, the GAM analysis revealed that climatic variables, such as precipitation, significantly affected DGWL in Barmer District, and DGWL in all other districts was influenced by anthropogenic variables, including GDP, NIA, and population. As a result, stringent regulations should be implemented to curb excessive groundwater extraction, manage agricultural water demand, initiate proactive aquifer recharge programs, and strengthen sustainable management in these water-scarce regions. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Climate change vulnerability assessment in the new urban planning process in Tanzania Issa NYASHILU, Robert KIUNSI, Alphonce KYESSI Regional Sustainability    2024, 5 (3): 100155-.   DOI: 10.1016/j.regsus.2024.100155 Abstract （40）   HTML （10）    PDF （330KB）（11）       Knowledge map    Save Climate change vulnerability assessment is an essential tool for identifying regions that are most susceptible to the impacts of climate change and designing effective adaptation actions that can reduce vulnerability and enhance long-term resilience of these regions. This study explored a framework for climate change vulnerability assessment in the new urban planning process in Jangwani Ward, Tanzania. Specifically, taking flood as an example, this study highlighted the steps and methods for climate change vulnerability assessment in the new urban planning process. In the study area, 95 households were selected and interviewed through purposeful sampling. Additionally, 10 respondents (4 females and 6 males) were interviewed for Focus Group Discussion (FGD), and 3 respondents (1 female and 2 males) were selected for Key Informant Interviews (KII) at the Ministry of Lands, Housing and Human Settlements Development. This study indicated that climate change vulnerability assessment framework involves the assessment of climatic hazards, risk elements, and adaptive capacity, and the determination of vulnerability levels. The average hazard risk rating of flood was 2.3. Socioeconomic and livelihood activities and physical infrastructures both had the average risk element rating of 3.0, and ecosystems had the average risk element rating of 2.9. Adaptive capacity ratings of knowledge, technology, economy or finance, and institution were 1.6, 1.9, 1.4, and 2.2, respectively. The vulnerability levels of socioeconomic and livelihood activities and physical infrastructure were very high (4.0). Ecosystems had a high vulnerability level (3.8) to flood. The very high vulnerability level of socioeconomic and livelihood activities was driven by high exposure and sensitivity to risk elements and low adaptive capacity. The study recommends adoption of the new urban planning process including preparation, planning, implementation, and monitoring-evaluation-review phases that integrates climate change vulnerability assessment in all phases. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Characteristics and influencing mechanisms of production-living- ecological space dynamics in the Three Gorges Reservoir Area (TGRA), Chongqing, China ZHU Xinyi, GAO Jinlong Regional Sustainability    2024, 5 (2): 100139-.   DOI: 10.1016/j.regsus.2024.100139 Abstract （39）   HTML （16）    PDF （4744KB）（182）       Knowledge map    Save The Three Gorges Reservoir Area (TGRA) is an important ecological barrier in the Yangtze River Basin, China. Therefore, it is of great importance to understand the spatio-temporal variation and the driving factors of production-living-ecological spaces for sustainable and high-quality development in the TGRA. This study investigated the dynamic variation of production-living-ecological spaces in the TGRA by employing land use data in 2000, 2005, 2010, 2015, and 2018, and detected the influencing factors by using the Geographic detector (GeoDetector). Results implied that the structure and dynamic trajectories of production-living-ecological spaces in the TGRA varied in both horizontal and vertical directions, and the study area was dominated by ecological space. A spatial orientation towards the northeast was detected in the evolution of production-living-ecological spaces during 2000-2018. In terms of quantity, the transition from ecological space (grassland and woodland) to agriculture land accounted for the largest proportion from 2000 to 2018. However, the reverse transition from agriculture land to ecological space has increased since 2000 with the efforts of “Grain for Green”. In terms of temporal scale, there was a fluctuating trend in production space with the continuous expansion of living space, while ecological space showed an inverted U-shaped trend during 2000-2018. The dynamic pattern of production-living-ecological spaces in the TGRA was influenced by both physical and socio-economic variables as basic determinants and dominant driving factors, respectively. Finally, the harmonization and protection of production-living-ecological spaces still require policy-makers’ efforts. This work may have potential in advancing our understanding about land use conflicts, and provide a reference for rational layout of spatial functions and the realization of sustainable development in the TGRA. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Economic significance and environmental impacts of the Song Dam Drinking Water Project (SDDWP) in Garhwal Himalaya Vishwambhar Prasad SATI Regional Sustainability    2024, 5 (2): 100145-.   DOI: 10.1016/j.regsus.2024.100145 Abstract （39）   HTML （14）    PDF （976KB）（228）       Knowledge map    Save With the population growth through natural growth and migration, coupled with the city expansion, it is the fact that Dehradun City in India faces severe water scarcity. Therefore, the Song Dam Drinking Water Project (SDDWP) is proposed to provide ample drinking water to Dehradun City and its suburban areas. This paper examined economic significance and environmental impacts of the SDDWP in Garhwal Himalaya, India. To conduct this study, we collected data from both primary and secondary sources. There are 12 villages and 3 forest divisions in the surrounding areas of the proposed dam project, of which 3 villages will be fully submerged and 50 households will be affected. For this study, 50 heads of the households were interviewed in the 3 submerged villages. The questions mainly focused on economic significance, environmental impacts, and rehabilitation issues of the dam project. The findings of this study indicate that economic significance of the dam project is substantial, including providing ample water for drinking and irrigation, contributing to groundwater recharge, creating job opportunities, and promoting the development of tourism and fisheries in the Doon Valley. In terms of the rehabilitation of the affected people, there are only 50 households in need of rehabilitation. Currently, the arable land of these affected people is not sufficient to sustain their livelihoods. The entire landscape is fragile, rugged, and precipitous; therefore, the affected people are willing to rehabilitate to more suitable areas in the Doon Valley. Moreover, it is essential to provide them with sufficient compensation packages including the compensation of arable land, houses, cash, common property resources, institutions, belongingness, and cultural adaptation. On the other hand, the proposed dam project will have adverse environmental impacts including arable land degradation, forest degradation, loss of fauna and flora, soil erosion, landslides, and soil siltation. These impacts will lead to the ecological imbalances in both upstream and downstream areas. This study suggests that the affected people should be given sufficient compensation packages in all respects. Afforestation programs can be launched in the degraded areas to compensate for the loss of forest in the affected areas. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Assessing the role of forest resources in improving rural livelihoods in West Bengal of India Soumen BISUI, Pravat Kumar SHIT Regional Sustainability    2024, 5 (2): 100141-.   DOI: 10.1016/j.regsus.2024.100141 Abstract （37）   HTML （12）    PDF （1840KB）（155）       Knowledge map    Save Forest resources play a vital role in supporting the livelihoods of rural communities residing in forest-rich areas. In India, a forest-rich country, a significant proportion of non-timber forest products (NTFPs) is consumed locally, supporting numerous rural communities relying on forests for essential resources, such as firewood, timber, and NTFPs. This study focuses on two forest-dominant districts in West Bengal of India, namely, Jhargram District and Paschim Medinipur District. Furthermore, this study aims to enhance the understanding of forest-dependent communities by comparing the standard of living among different village classes. Thus, we categorized villages into three classes based on the distance from home to forests, including inner villages, fringe villages, and outer villages. Through focus group discussions and household surveys, we explored the sources of local economy, income sources of household, and reasons for economic diversification in different village classes. The study findings confirm that substantial variations existed in the income sources and the standard of living in these villages. Forest income varied dramatically among the three village classes, with inner villages having greater forest income than fringe villages and outer villages. Meanwhile, households in outer villages depended on forests and engaged in diverse economic activities for their livelihoods. Compared with inner and fringe villages, households in outer villages derived a significant portion of their income from livestock. This discrepancy can be attributed to challenges, such as inadequate transportation, communication, and underdeveloped market chains in inner villages. Moreover, these findings emphasize the need to develop sustainable forest management practices, create alternative income-generation opportunities, and improve infrastructure and market access in inner villages, as well as promote economic diversification in outer villages. Through targeted policy measures, these forest-rich regions can achieve improved livelihoods, enhanced standard of living, and increased resilience for their communities. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Characteristics and drivers of the soil multifunctionality under different land use and land cover types in the drylands of China SONG Boyi, ZHANG Shihang, LU Yongxing, GUO Hao, GUO Xing, WANG Mingming, ZHANG Yuanming, ZHOU Xiaobing, ZHUANG Weiwei Regional Sustainability    2024, 5 (3): 100162-.   DOI: 10.1016/j.regsus.2024.100162 Abstract （37）   HTML （6）    PDF （653KB）（9）       Knowledge map    Save The drylands of China cover approximately 6.6×106 km2 and are home to approximately 5.8×108 people, providing important ecosystem services for human survival and development. However, dryland ecosystems are extremely fragile and sensitive to external environmental changes. Land use and land cover (LULC) changes significantly impact soil structure and function, thus affecting the soil multifunctionality (SMF). However, the effect of LULC changes on the SMF in the drylands of China has rarely been reported. In this study, we investigated the characteristics of the SMF changes based on soil data in the 1980s from the National Tibetan Plateau Data Center. We explored the drivers of the SMF changes under different LULC types (including forest, grassland, shrubland, and desert) and used structural equation modeling to explore the main driver of the SMF changes. The results showed that the SMF under the four LULC types decreased in the following descending order: forest, grassland, shrubland, and desert. The main driver of the SMF changes under different LULC types was mean annual temperature (MAT). In addition to MAT, pH in forest, soil moisture (SM) and soil biodiversity index in grassland, SM in shrubland, and aridity index in desert are crucial factors for the SMF changes. Therefore, the SMF in the drylands of China is regulated mainly by MAT and pH, and comprehensive assessments of the SMF in drylands need to be performed regarding LULC changes. The results are beneficial for evaluating the SMF among different LULC types and predicting the SMF under global climate change. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatio-temporal variation and relationship between agricultural efficiency and irrigation intensity in a semi-arid region of India Shibu DAS, Kaushal Kumar SHARMA, Suranjan MAJUMDER, Debabrata DAS, Indrajit Roy CHOWDHURY Regional Sustainability    2024, 5 (2): 100144-.   DOI: 10.1016/j.regsus.2024.100144 Abstract （36）   HTML （13）    PDF （1587KB）（155）       Knowledge map    Save A surging population in Karnataka State, a semi-arid region in India, poses a threat to both food security and livelihood sustainability, necessitating a concentrated effort to bolster agricultural efficiency and achieve United Naton’s Sustainable Development Goal 2 (zero hunger). Therefore, in order to address the pressing issue of food scarcity in Karnataka, this study meticulously examined the spatio-temporal variation of agricultural efficiency and irrigation intensity in Karnataka, uncovering its significant dependence of agricultural efficiency on irrigation intensity. Specifically, this study used a one-way analysis of variance (ANOVA) to ascertain significant differences in the means of agricultural efficiency and irrigation intensity during 2004-2005 and 2018-2019. This study showed that the maximum improvement in agricultural efficiency index was recorded in Belgaum (40.24), Gulbarga (24.77), and Yadgir districts (22.92) between 2004-2005 and 2018-2019, which indicated the progressing trend and better scope for agriculture extension. On the contrary, some districts expressed threat (a decline of above 20.00 of agricultural efficiency index) and needed special care for the improvement of agricultural efficiency in four northern districts (Bagalkot, Bidar, Raichur, and Bijapur), three southern districts (Chitradurga, Chikballapur and Hassan), and two southern districts (Koppal and Gadag) in Karnataka. During 2004-2005, irrigation intensity varied from 3.19% to 56.39%, with the lowest irrigation intensity in Kodagu District and the highest irrigation intensity in Shimoga District. During 2018-2019, irrigation intensity changed from 0.77% to 72.77%, with the lowest irrigation intensity in Kodagu District and the highest in Dakshin Kannad District. Moreover, the research scrutinized the complex relationship between agricultural efficiency and irrigation intensity, with the correlation coefficient increased from 0.162 during 2004-2005 to 0.255 during 2018-2019. It implies that in both periods, a low positive correlation existed between these two variables. Over time, several factors (high-yield seeds and chemical fertilizers) other than irrigation intensity gradually became essential for agricultural efficiency. This research offers a wealth of valuable insights for regional planners and policy-makers contending with comparable challenges in various regions of India and other developing countries. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Green transformation paths of resource-based cities in China from the configuration perspective GONG Qunxi Regional Sustainability    2024, 5 (3): 100158-.   DOI: 10.1016/j.regsus.2024.100158 Abstract （32）   HTML （6）    PDF （575KB）（8）       Knowledge map    Save Green transformation is an unavoidable choice for resource-based cities (RBCs) that face resource depletion and environmental pollution. Existing research has focused primarily on specific RBCs, making it challenging to apply green transformation strategies universally across cities. The fuzzy set qualitative comparative analysis (fsQCA) is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome. Thus, to address this gap, in this study, we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China. By incorporating the element of time, this study explored the dynamic evolution of solutions in 2013, 2016, and 2019. The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency (GTE), and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs. Green transformation paths of RBCs exhibit the same destination through different paths. Additionally, the combination of system environment elements and system structure elements is both complementary and alternative. Differences in RBCs have led to various factor combinations and development paths, but there are some similarities in the key elements of the factor combinations at different stages. Economic environment, government support, and technological innovation are key factors that universally enhance the GTE in RBCs. These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Assessing the impact of climate change on agricultural production in central Afghanistan Homayoon RAOUFI, Hamidreza JAFARI, Wakil Ahmad SARHADI, Esmail SALEHI Regional Sustainability    2024, 5 (3): 100156-.   DOI: 10.1016/j.regsus.2024.100156 Abstract （31）   HTML （2）    PDF （702KB）（4）       Knowledge map    Save Afghanistan has faced extreme climatic crises such as drought, rising temperature, and scarce precipitation, and these crises will likely worsen in the future. Reduction in crop yield can affect food security in Afghanistan, where the majority of population and economy are completely dependent on agriculture. This study assessed the interaction between climate change and crop yield in Kabul of Afghanistan during the reference (1990-2020) and future (2025-2100) periods. Climate data (1990-2020) were collected from four meteorological stations and three local organizations, and wheat yield data (1990-2020) were acquired from the United States Agriculture Department. Data during the reference period (1990-2020) were used for the validation and calibration of the statistical downscaling models such as the Statistical Downscaling Model (SDSM) and Long Ashton Research Station Weather Generator (LARS-WG). Furthermore, the auto-regression model was used for trend analysis. The results showed that an increase in the average annual temperature of 2.15°C, 2.89°C, and 4.13°C will lead to a reduction in the wheat yield of 9.14%, 10.20%, and 12.00% under Representative Concentration Pathway (RCP)2.6, RCP4.5, and RCP8.5 during the future period (2025-2100), respectively. Moreover, an increase in the annual maximum temperature of 1.79°C, 2.48°C, and 3.74°C also causes a significant reduction in the wheat yield of 2.60%, 3.60%, and 10.50% under RCP2.6, RCP4.5, and RCP8.5, respectively. Furthermore, an increase in the annual minimum temperature of 2.98°C, 2.23°C, and 4.30°C can result in an increase in the wheat yield of 6.50%, 4.80%, and 9.30% under RCP2.6, RCP4.5, and RCP8.5, respectively. According to the SDSM, the decrease of the average monthly precipitation of 4.34%, 4.10%, and 5.13% results in a decrease in the wheat yield of 2.60%, 2.36%, and 3.18% under RCP2.6, RCP4.5, and RCP8.5, respectively. This study suggests that adaptation strategies can be applied to minimize the consequences of climate change on agricultural production. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Preserving environmental quality of ecotourism sites through community participation in Purulia District of West Bengal, India Piyall CHATTERJEE, Soumyendra Kishore DATTA Regional Sustainability    2024, 5 (3): 100163-.   DOI: 10.1016/j.regsus.2024.100163 Abstract （31）   HTML （5）    PDF （440KB）（4）       Knowledge map    Save The importance of valuing environmental resources, especially in ecotourism sites, has become increasingly important over the last two decades. Ecotourism is now considered as an important source of livelihood of local stakeholders in backward regions. Therefore, the preservation of ecotourism sites through community participation seems very important to maintain continued flow of tourists. This study aimed at recognizing the importance of community participation for the preservation of ecotourism sites. For this, this study executed a survey based on non-probability sampling in two ecotourism sites (Garpanchkot and Baranti) covering 100 respondents in Purulia District, West Bengal of India. The central issue of this study was to assess the tendency of community participation for the conservation of ecotourism sites and find the optimum condition for offering participatory labour time. This study showed that the participation of young people is high, and the majority of respondents are aware of the importance in protecting ecotourism sites. Because respondents were too poor to offer money, the contingent valuation method (CVM) was used to elicit their willingness to pay (WTP) participatory labour time for the conservation of ecotourism sites. Respondents’ age, income, education level, caste, and their perceived environmental quality had significant relationship with their WTP participatory labour time by applying the ordinary least square (OLS) model. It was found that the mean WTP participatory labour time of each respondent in a month is approximately 3.64 h. The significance of this study is that community participation can improve the sense of belonging, trust, and credibility of ecotourism sites, making them more appreciative of the value and protection of these sites. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Climatic and non-climatic factors driving the livelihood vulnerability of smallholder farmers in Ahafo Ano North District, Ghana Frank BAFFOUR-ATA, Louisa BOAKYE, Moses Tilatob GADO, Ellen BOAKYE-YIADOM, Sylvia Cecilia MENSAH, Senyo Michael KWAKU KUMFO, Kofi Prempeh OSEI OWUSU, Emmanuel CARR, Emmanuel DZIKUNU, Patrick DAVIES Regional Sustainability    2024, 5 (3): 100157-.   DOI: 10.1016/j.regsus.2024.100157 Abstract （30）   HTML （3）    PDF （565KB）（4）       Knowledge map    Save Smallholder farmers in Ahafo Ano North District, Ghana, face multiple climatic and non-climatic issues. This study assessed the factors contributing to the livelihood vulnerability of smallholder farmers in this district by household surveys with 200 respondents and focus group discussions (FGDs) with 10 respondents. The Mann-Kendall trend test was used to assess mean annual rainfall and temperature trends from 2002 to 2022. The relative importance index (RII) value was used to rank the climatic and non-climatic factors perceived by respondents. The socioeconomic characteristics affecting smallholder farmers’ perceptions of climatic and non-climatic factors were evaluated by the binary logistic regression model. Results showed that mean annual rainfall decreased (P>0.05) but mean annual temperature significantly increased (P<0.05) from 2002 to 2022 in the district. The key climatic factors perceived by smallholder farmers were extreme heat or increasing temperature (RII=0.498), erratic rainfall (RII=0.485), and increased windstorms (RII=0.475). The critical non-climatic factors were high cost of farm inputs (RII=0.485), high cost of healthcare (RII=0.435), and poor condition of roads to farms (RII=0.415). Smallholder farmers’ perceptions of climatic and non-climatic factors were significantly affected by their socioeconomic characteristics (P<0.05). This study concluded that these factors negatively impact the livelihoods and well-being of smallholder farmers and socioeconomic characteristics influence their perceptions of these factors. Therefore, to enhance the resilience of smallholder farmers to climate change, it is necessary to adopt a comprehensive and context-specific approach that accounts for climatic and non-climatic factors. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Spatiotemporal evolution and influencing factors of urban resilience in the Yellow River Basin, China JI Xiaomei, NIE Zhilei, WANG Kaiyong, XU Mingxian, FANG Yuhao Regional Sustainability    2024, 5 (3): 100159-.   DOI: 10.1016/j.regsus.2024.100159 Abstract （30）   HTML （4）    PDF （531KB）（10）       Knowledge map    Save The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment. Industrialization and urbanization promote social-economic development, but they also have generated a series of environmental and ecological issues in this basin. Previous researches have evaluated urban resilience at the national, regional, urban agglomeration, city, and prefecture levels, but not at the watershed level. To address this research gap and elevate the Yellow River Basin’s urban resilience level, we constructed an urban resilience evaluation index system from five dimensions: industrial resilience, social resilience, environmental resilience, technological resilience, and organizational resilience. The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin. The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010, 2015, and 2020. Furthermore, the grey correlation analysis method was utilized to explore the influencing factors of these differences. The results of this study are as follows: (1) the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010-2015, and significant spatial distribution differences were observed, with a higher resilience level in the eastern region and a low-medium resilience level in the western region; (2) the differences in urban resilience were noticeable, with industrial resilience and social resilience being relatively highly developed, whereas organizational resilience and environmental resilience were relatively weak; and (3) the correlation ranking of resilience influencing factors was as follows: science and technology level>administrative power>openness>market forces. This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Employment and development levels in rural areas of the Russian Federation Guzel SALIMOVA, Gulnara NIGMATULLINA, Gamir HABIROV, Alisa ABLEEVA, Rasul GUSMANOV Regional Sustainability    2024, 5 (3): 100164-.   DOI: 10.1016/j.regsus.2024.100164 Abstract （29）   HTML （3）    PDF （547KB）（5）       Knowledge map    Save The development of agro-industrial complex is important for ensuring national food security and national health. The development of rural areas is subject to the development of agriculture and local infrastructure, as well as the availability of various services. This study selected 15 indicators in 2021 to analyze the employment and development levels in rural areas of 71 regions of the Russian Federation using the analytical grouping method. The results indicated that 20 regions (Group 1) had the highest percentage of rural population (33.10%). The percentage of population engaged in agriculture had the highest value (12.40%) in 31 regions (Group 2). Moreover, 20 regions (Group 3) had the highest investments in fixed assets at the expense of municipal budget (11.80 USD/person). Increasing the investments in fixed assets carried out from the budget of the municipality can improve the employment level in rural areas. Then, we used cluster analysis to divide 14 regions of the Volga Federal District in the Russian Federation into 3 clusters. Cluster 1 covered Kirov Region and Republic of Mari El; Cluster 2 included Ulyanovsk Region, Saratov Region, Nizhny Novgorod Region, Perm Territory, Orenburg Region, Chuvash Region, and Republic of Mordovia; and Cluster 3 contained Republic of Tatarstan, Samara Region, Udmurtian Republic, Penza Region, and Republic of Bashkortostan. Results indicated that the 2 regions of Cluster 1 need to increase the availability of resources and natural gas and improve the investment attractiveness of rural areas. The 7 regions of Cluster 2 needed to develop infrastructure, public services, and agricultural production. We found the highest employment level in rural areas, the largest investments in fixed assets at the expense of municipal budget, the largest residential building area per 10,000 persons, and the largest individual residential building area in the 5 regions of Cluster 3. This study makes it possible to draw up a comprehensive regional development program and proves the need for the development of rural areas, which is especially important for the sustainable development of the Russian Federation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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What are the underlying causes and dynamics of land use conflicts in metropolitan junction areas? A case study of the central Chengdu- Chongqing region in China TIAN Junfeng, WANG Binyan, QIU Cheng, WANG Shijun Regional Sustainability    2024, 5 (3): 100161-.   DOI: 10.1016/j.regsus.2024.100161 Abstract （26）   HTML （5）    PDF （2088KB）（4）       Knowledge map    Save Land use conflicts (LUCs), as a spatial manifestation of the conflicts in the human-land relationships, have a profound impact on regional sustainable development. For China’s metropolitan junction areas (MJAs), the existence of “administrative district economies” has made the issue of LUCs more prominent. Based on a case study of the central Chengdu-Chongqing region, we conducted an exploratory spatial data analysis of the evolutionary process of regional LUCs. Furthermore, structural equation modeling was utilized to analyze the dynamic mechanism of LUCs in MJAs, with a particular emphasis on exploring the influences of administrative boundary. The results showed that from 2010 to 2020, LUCs in the central Chengdu-Chongqing region continued to worsen, and the spatial process conflict and spatial structure conflict indices increased by more than 30.0%. The intensification of LUCs in the central Chengdu-Chongqing region from 2010 to 2020 was mainly the result of the deterioration of conflicts in evaluation units with low conflict levels. LUCs in China’s metropolitan areas generally presented a circular gradient distribution, weakening from the core to the periphery, but there were some strong isolated conflict zones in the outer regions. LUCs in China’s MJAs were the result of interactions among multiple factors, e.g., natural environment, socio-economic development, policy and institutional processes, and administrative boundary effects. Administrative boundary affected the flow of socio-economic elements, changing the supply-and-demand competition of stakeholders for land resources, consequently exerting an indirect influence on LUCs. This study advances the theory of the dynamic mechanism of LUCs, and provides theoretical support for the governance of these conflicts in transboundary areas. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Understanding factors affecting non-participants’ interest in community-supported agriculture Maula Fadhilata RAHMATIKA, Agus SUMAN, Wildan SYAFITRI, Sri MULJANINGSIH Regional Sustainability    2024, 5 (3): 100160-.   DOI: 10.1016/j.regsus.2024.100160 Abstract （25）   HTML （2）    PDF （409KB）（4）       Knowledge map    Save Community-supported agriculture (CSA) has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia. This study uses the well-established unified theory of acceptance and use of technology (UTAUT2) model to examine the interest in CSA of potential customers in Indonesia. A standardized questionnaire was distributed to 1200 respondents, and the data were analyzed using structural equation model-partial least square (SEM-PLS) in SmartPLS 4.0 software. The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia. The model explains 44.4% of customers’ intentions, and identifies performance expectancy as the decisive factor in customers’ willingness to participate in CSA. Performance expectancy (0.292), hedonic motivation (0.262), social influence (0.259), and facilitating conditions (0.086) positively influence customers’ interest in participating in a CSA program. The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies, offering training on sustainable farming practices, facilitating the establishment of distribution channels, and establishing guidelines for fair price and quality standards. This study shows the high potential for the implementation of CSA in Indonesia. It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia. Table and Figures | Reference | Related Articles | Metrics | Comments（0）