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    Dynamicity of Land Use/Land Cover (LULC): An analysis from peri-urban and rural neighbourhoods of Durgapur Municipal Corporation (DMC) in India
    Subrata HALDAR, Somnath MANDAL, Subhasis BHATTACHARYA, Suman PAUL
    Regional Sustainability    2023, 4 (2): 150-172.   DOI: 10.1016/j.regsus.2023.05.001
    Abstract236)   HTML1)    PDF(pc) (9791KB)(8)       Save

    The availability of better economic possibilities and well-connected transportation networks has attracted people to migrate to peri-urban and rural neighbourhoods, changing the landscape of regions outside the city and fostering the growth of physical infrastructure. Using multi-temporal satellite images, the dynamics of Land Use/Land Cover (LULC) changes, the impact of urban growth on LULC changes, and regional environmental implications were investigated in the peri-urban and rural neighbourhoods of Durgapur Municipal Corporation in India. The study used different case studies to highlight the study area’s heterogeneity, as the phenomenon of change is not consistent. Landsat TM and OLI-TIRS satellite images in 1991, 2001, 2011, and 2021 were used to analyse the changes in LULC types. We used the relative deviation (RD), annual change intensity (ACI), uniform intensity (UI) to show the dynamicity of LULC types (agriculture land; built-up land; fallow land; vegetated land; mining area; and water bodies ) during 1991-2021. This study also applied the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to measure environmental sensitivity zones and find out the causes of LULC changes. According to LULC statistics, agriculture land, built-up land, and mining area increased by 51.7, 95.46, and 24.79 km2, respectively, from 1991 to 2021. The results also suggested that built-up land and mining area had the greatest land surface temperature (LST), whereas water bodies and vegetated land showed the lowest LST. Moreover, this study looked at the relationships among LST, spectral indices (Normalized Differenced Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI)), and environmental sensitivity. The results showed that all of the spectral indices have the strongest association with LST, indicating that built-up land had a far stronger influence on the LST. The spectral indices indicated that the decreasing trends of vegetated land and water bodies were 4.26 and 0.43 km2/a, respectively, during 1991-2021. In summary, this study can help the policy-makers to predict the increasing rate of temperature and the causes for the temperature increase with the rapid expansion of built-up land, thus making effective peri-urban planning decisions.

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    Knowledge flow analysis of knowledge co-production-based climate change adaptation for lowland rice farmers in Bulukumba Regency, Indonesia
    Arifah, Darmawan SALMAN, Amir YASSI, Eymal Bahsar DEMMALLINO
    Regional Sustainability    2023, 4 (2): 194-202.   DOI: 10.1016/j.regsus.2023.05.005
    Abstract187)   HTML2)    PDF(pc) (265KB)(22)       Save

    To increase the resilience of farmers’ livelihood systems, detailed knowledge of adaptation strategies for dealing with the impacts of climate change is required. Knowledge co-production approach is an adaptation strategy that is considered appropriate in the context of the increasing frequency of disasters caused by climate change. Previous research of knowledge co-production on climate change adaptation in Indonesia is insufficient, particularly at local level, so we examined the flow of climate change adaptation knowledge in the knowledge co-production process through climate field school (CFS) activities in this study. We interviewed 120 people living in Bulukumba Regency, South Sulawesi Province, Indonesia, involving 12 crowds including male and female farmers participated in CFS and not participated in CFS, local government officials, agriculture extension workers, agricultural traders, farmers’ family members and neighbors, etc. In brief, the 12 groups of people mainly include two categories of people, i.e., people involved in CFS activities and outside CFS. We applied descriptive method and Social network analysis (SNA) to determine how knowledge flow in the community network and which groups of actors are important for knowledge flow. The findings of this study reveal that participants in CFS activities convey the knowledge they acquired formally (i.e., from TV, radio, government, etc.) and informally (i.e., from market, friends, relatives, etc.) to other actors, especially to their families and neighbors. The results also show that the acquisition and sharing of knowledge facilitate the flow of climate change adaptation knowledge based on knowledge co-operation. In addition, the findings highlight the key role of actors in the knowledge transfer process, and key actors involved in disseminating information about climate change adaptation. To be specific, among all the actors, family member and neighbor of CFS actor are the most common actors in disseminating climate knowledge information and closest to other actors in the network; agricultural trader and family member of CFS actor collaborate most with other actors in the community network; and farmers participated in CFS, including those heads of farmer groups, agricultural extension workers, and local government officials are more willing to contact with other actors in the network. To facilitate the flow of knowledge on climate change adaptation, CFS activities should be conducted regularly and CFS models that fit the situation of farmers’ vulnerability to climate change should be developed.

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    Socio-economic development of countries based on the Composite Country Development Index (CCDI)
    Kalamkas NURALINA, Raissa BAIZHOLOVA, Natalya ALEKSANDROVA, Viktor KONSTANTINOV, Alexander BIRYUKOV
    Regional Sustainability    2023, 4 (2): 115-128.   DOI: 10.1016/j.regsus.2023.03.005
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    World experience indicates the existence of significant imbalances in the development of countries. The problem of assessing the rational development of the regional and national economy is becoming urgent, since such assessments can prevent development imbalances across countries. The aim of this study is to elaborate a methodology to assess the countries’ socio-economic development by integraring 12 modern indices of socio-economic development into the Composite Country Development Index (CCDI). The methodology of this research was based on a set of key indices that described socio-economic development level in four fields (social development, digital development, economic development, and environmental security) and then these indices were integrated into the CCDI. The study further applied factor analysis and R-Studio software to define the gaps of social and economic development in 59 selected countries using the trigonometric function of the angle sine. The correlation analysis confirmed the existence of a close interrelation among the studied countries. This paper noted that due to the emergence of new priorities, it is necessary to revise the assessment methodology of socio-economic development level and expand them to cover the decisive factors. This was confirmed by the results obtained, demonstrating various combinations of the development level in the four fields and their impact on the CCDI. The scientific contribution of this research is to form a methodology (e.g., the CCDI) for evaluating the socio-economic development level of countries in the world.

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    Climate change risk, resilience, and adaptation among rural farmers in East Africa: A literature review
    Tobias ACKERL, Lemlem Fitwi WELDEMARIAM, Mary NYASIMI, Ayansina AYANLADE
    Regional Sustainability    2023, 4 (2): 185-193.   DOI: 10.1016/j.regsus.2023.05.004
    Abstract170)   HTML2)    PDF(pc) (370KB)(11)       Save

    This study assesses the literature evidence on climate change risk, resilience, and adaptation measures used among rural farmers in East Africa. A systematic literature review was conducted comprising 30 papers from the Web of Science database published during 2000-2022. The results of the literature review showed that climate change risks have direct impacts on agricultural practices, limit rural farmers’ resilience, and exacerbate their food insecurity. The most prominent risks are increasingly shorter wet seasons and heat stress, which lead to droughts and food production losses. Responding to climate risks, farmers in East Africa adopt various adaptation strategies such as mixed- and inter-cropping, conservation tillage, early planting, crop diversification, etc. Also, this review summarizes the determinants of climate change adaptation strategy selection by farmers in East Africa, including age, gender, household size, economic status and household assets, landownership and livestock, education and training, etc. Overall, the choice of adaptation strategies to climate change is strongly determined by the gender of household heads, the results of gender as a determinant of adaptation differ greatly between different case studies. Although female-headed households (FHHs) tend to perceive changes in temperature more readily than male-headed households (MHHs), the latter are generally more likely to adopt different adaptation strategies. Despite the resilience and adaptation measures used by rural farmers in East Africa now, improved weather forecasting and early warning systems are needed as a better direction towards the future.

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    Overview of priorities, threats, and challenges to biodiversity conservation in the southern Philippines
    Angelo Rellama AGDUMA, Francisco Gil GARCIA, Ma. Teodora CABASAN, Jonald PIMENTEL, Renee Jane ELE, Meriam RUBIO, Sedra MURRAY, Bona Abigail HILARIO-HUSAIN, Kier Celestial Dela CRUZ, Sumaira ABDULLAH, Shiela Mae BALASE, Krizler Cejuela TANALGO
    Regional Sustainability    2023, 4 (2): 203-213.   DOI: 10.1016/j.regsus.2023.05.003
    Abstract151)   HTML2)    PDF(pc) (574KB)(8)       Save

    Human activities have severely impacted on many species and ecosystems. Thus, understanding the local biodiversity situation is crucial for implementing effective biodiversity conservation interventions. Mindanao in the southern Philippines is home to various unique species, particularly in its pristine ecosystems. However, the available biodiversity data for many terrestrial vertebrates and key areas remain incomplete. To address this issue, we synthesized published literature related to biodiversity from 2000 to 2022 in Mindanao. Moreover, this analysis used four key terrestrial vertebrates (amphibians, reptiles, birds, and mammals) in Mindanao as research objects. According to our findings, there was a significant and positive correlation between the number of biodiversity studies and species recorded. In terms of species richness, birds were the most recorded group (n=334 spp.), followed by reptiles (n=108 spp.), mammals (n=70 spp.), and amphibians (n=52 spp.). We also found that the number of endemic and threatened species varies geographically and across taxonomic groups. Yet, we discovered a significant disparity in the information available on biodiversity in different provinces of Mindanao. For example, the western provinces of Mindanao have had no record of biodiversity for more than two decades. Furthermore, we found that the changes in tree cover loss were consistent with biodiversity records, but this correlation is only significant for birds. Finally, we highlighted some critical threats and challenges to biodiversity, including deforestation, agricultural expansion, mining, and their impact on biodiversity conservation in Mindanao. Our findings suggested that biodiversity conservation should focus not only on areas with high levels of biodiversity but also on areas lacking biodiversity information. To do this, we call for strengthening collaboration among various institutions and digitizing and centralizing of information related to biodiversity. By gaining a deeper understanding of biodiversity in Mindanao, we can better and sustainably protect critical ecosystems in this region from the increasing threats posed by human activities.

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    Impacts of climate change on the yields of leguminous crops in the Guinea Savanna agroecological zone of Ghana
    Enoch YELELIERE, Philip ANTWI-AGYEI, Frank BAFFOUR-ATA
    Regional Sustainability    2023, 4 (2): 139-149.   DOI: 10.1016/j.regsus.2023.04.002
    Abstract109)   HTML5)    PDF(pc) (667KB)(13)       Save

    The impacts of climate change on crop yields are receiving renewed interest, with focus on cereals and staple crops at the regional and national scales. Yet, the impacts of climate change on the yields of leguminous crops in the local context has not been explored. Thus, an in-depth understanding of climate change in the local context may support the design of locally relevant adaptation responses to current and future climate risks. This study examined the impacts of climate variables (annual rainfall, annual average temperature, rainfall indices (rainfall onset, rainfall cessation, and the length of rainy days), and the number of dry days) on the yields of leguminous crops (groundnuts, cowpeas, and soybeans) in the Guinea Savanna agroecological zone of Ghana during the period of 1989-2020. The data were analysed using Mann-Kendall’s trend, Sen’s slope test, correlation analysis, and Multiple Regression Analysis (MRA). The findings revealed that annual rainfall, annual average temperature, rainfall onset, rainfall cessation, and the length of rainy days, and the number of dry days all showed varied impacts on the yields of groundnuts, cowpeas, and soybeans. The trend analysis detected a marginal decrease in the amount of rainfall, rainfall onset, and the number of dry days from 1989 to 2020 (P>0.050). Annual average temperature and the length of rainy days substantially varied (P<0.050) from 1989 to 2020, showing an increasing trend. The findings also showed a marked upward trend for the yields of groundnuts, cowpeas, and soybeans during 2005-2020. The climate variables analysed above increased the yields of groundnuts, cowpeas, and soybeans by 49.0%, 55.0%, and 69.0%, respectively. The yields of groundnuts, cowpeas, and soybeans fluctuated with the variability of 30.0%, 28.0%, and 27.0% from 2005 to 2020, respectively. The three leguminous crops under study demonstrated unpredictable yields due to the variations of annual rainfall, annual average temperature, rainfall onset, rainfall cessation, the length of rainy days, and the number of dry days, which stressed the need for agricultural diversification, changing planting dates, using improved seed variety, and irrigation to respond to climate change. The results of this study implied that climate change considerably impacts crop production in the Guinea Savanna agroecological zone of Ghana, emphasizing the urgency of locally based and farmer-induced adaptation measures for food security and resilient agricultural systems.

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    Environmental complaint insights through text mining based on the driver, pressure, state, impact, and response (DPSIR) framework: Evidence from an Italian environmental agency
    Fabiana MANSERVISI, Michele BANZI, Tomaso TONELLI, Paolo VERONESI, Susanna RICCI, Damiano DISTANTE, Stefano FARALLI, Giuseppe BORTONE
    Regional Sustainability    2023, 4 (3): 261-281.   DOI: 10.1016/j.regsus.2023.08.002
    Abstract78)   HTML3)    PDF(pc) (560KB)(7)       Save

    Individuals, local communities, environmental associations, private organizations, and public representatives and bodies may all be aggrieved by environmental problems concerning poor air quality, illegal waste disposal, water contamination, and general pollution. Environmental complaints represent the expressions of dissatisfaction with these issues. As the time-consuming of managing a large number of complaints, text mining may be useful for automatically extracting information on stakeholder priorities and concerns. The paper used text mining and semantic network analysis to crawl relevant keywords about environmental complaints from two online complaint submission systems: online claim submission system of Regional Agency for Prevention, Environment and Energy (Arpae) (“Contact Arpae”); and Arpae's internal platform for environmental pollution (“Environmental incident reporting portal”) in the Emilia-Romagna Region, Italy. We evaluated the total of 2477 records and classified this information based on the claim topic (air pollution, water pollution, noise pollution, waste, odor, soil, weather-climate, sea-coast, and electromagnetic radiation) and geographical distribution. Then, this paper used natural language processing to extract keywords from the dataset, and classified keywords ranking higher in Term Frequency-Inverse Document Frequency (TF-IDF) based on the driver, pressure, state, impact, and response (DPSIR) framework. This study provided a systemic approach to understanding the interaction between people and environment in different geographical contexts and builds sustainable and healthy communities. The results showed that most complaints are from the public and associated with air pollution and odor. Factories (particularly foundries and ceramic industries) and farms are identified as the drivers of environmental issues. Citizen believed that environmental issues mainly affect human well-being. Moreover, the keywords of “odor”, “report”, “request”, “presence”, “municipality”, and “hours” were the most influential and meaningful concepts, as demonstrated by their high degree and betweenness centrality values. Keywords connecting odor (classified as impacts) and air pollution (classified as state) were the most important (such as “odor-burnt plastic” and “odor-acrid”). Complainants perceived odor annoyance as a primary environmental concern, possibly related to two main drivers: “odor-factory” and “odors-farms”. The proposed approach has several theoretical and practical implications: text mining may quickly and efficiently address citizen needs, providing the basis toward automating (even partially) the complaint process; and the DPSIR framework might support the planning and organization of information and the identification of stakeholder concerns and priorities, as well as metrics and indicators for their assessment. Therefore, integration of the DPSIR framework with the text mining of environmental complaints might generate a comprehensive environmental knowledge base as a prerequisite for a wider exploitation of analysis to support decision-making processes and environmental management activities.

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    Evolution of economic linkage network of the cities and counties on the northern slope of the Tianshan Mountains, China
    YANG Zeyu, ZHANG Shubao, LEI Jun, ZHANG Xiaolei, TONG Yanjun, DUAN Zuliang, FAN Liqin
    Regional Sustainability    2023, 4 (2): 173-184.   DOI: 10.1016/j.regsus.2023.05.002
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    The exchanges between cities and counties in the northern slope economic belt of Tianshan Mountains (NSEBTM) are increasingly frequent and the economic linkages are increasingly close, but the spatial distribution of economic development and linkages among the cities and counties within NSEBTM is uneven. Therefore, it is of great significance to study the evolution of spatial-temporal pattern of the economic linkage network of cities and counties on NSEBTM to promote the coordinated and integrated development of the regional economy on NSEBTM. In this study, we used the modified gravity model and social network analysis method to analyze the spatio-temporal evolution characteristics of the economic linkage network structure of cities and counties on NSEBTM in 2000, 2010, and 2020. The results showed that the comprehensive development quality level of cities and counties on NSEBTM increased from 2000 to 2020, its growth rate also increased, and its gap between cities and counties continued expanding. Both the spatial distribution patterns of the comprehensive development quality level of cities and counties on NSEBTM in 2000 and 2010 were presented as “high in the middle and low at both ends”, while the spatial distribution pattern of 2020 was exhibited as “high value and low value staggered”. The total amount of external economic linkages of cities and counties on NSEBTM showed an obvious upward trend, and its gap between cities and counties continued expanding, presenting a pattern of “a strong middle section and weak ends”. The direction of economic linkages of NSEBTM existed obvious central orientation and geographical proximity. The density of economic linkage network of NSEBTM increased from 2000 to 2020, and the structure of economic linkage network changed from single-core structure centered with Urumqi City to multicore structure centered with Urumqi City, Karamay City, Shihezi City, and Changji City, shifting from unbalanced development to balanced development. In the future, we should accelerate the construction of urban agglomeration on NSEBTM, cultivate a modern Urumqi metropolitan area, improve comprehensive development quality of the cities and counties at the eastern and western ends, strengthen the intensity of economic linkages between cities and counties, optimize the economic linkage network, and promote the coordinated and integrated development of regional economy.

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    Synergies and trade-offs of climate-smart agriculture (CSA) practices selected by smallholder farmers in Geshy watershed, Southwest Ethiopia
    Girma TILAHUN, Amare BANTIDER, Desalegn YAYEH
    Regional Sustainability    2023, 4 (2): 129-138.   DOI: 10.1016/j.regsus.2023.04.001
    Abstract69)   HTML2)    PDF(pc) (498KB)(12)       Save

    Studies on mainstreaming climate-smart agriculture (CSA) practices can increase smallholder farmers’ capacity and awareness to improve food security and establish sustainable livelihoods through resilient agricultural systems, while achieving adaptation and mitigation benefits. Hence, valuable insights can be obtained from smallholder farmers in responding to present and forthcoming challenges of climate change impacts. However, there is little research work on trade-off and synergy assessments. Taking Geshy watershed in Southwest Ethiopia as a case study area, both quantitative and qualitative data analysis were undertaken in this study. The data were collected from 15 key informant interviews, 6 focus group discussions, and 384 households to answer the following questions: (1) what are the top 5 preferred CSA practices for smallholder farmers in Geshy watershed when coping with the impacts of climate change? (2) What is the performance of the preferred CSA practices? And (3) which trade-offs and synergies are experienced upon the implementation of CSA practices? The study came up with the most preferred CSA practices such as the use of improved crop varieties, small-scale irrigation, improved animal husbandry, the use of efficient inorganic fertilizers, and crop rotation with legumes. The selected CSA practices showed that the productivity goal exhibit the best synergy, while the mitigation goal has trade-offs. The study also indicated that the use of improved crop varieties causes high synergies in all 3 goals of CSA practices; small-scale irrigation provides a medium synergy on productivity goal but high synergy for adaptation and mitigation goals; improved animal husbandry shows a high synergy with the adaptation goal, a relatively lower synergy with the productivity goal, and a trade-off with the mitigation goal; the use of efficient inorganic fertilizers shows maximum synergy for the productivity and adaptation goals; and crop rotation with legumes exhibits high synergy with the productivity and mitigation goals but a relatively lower synergy with the adaptation goal. These results can provide evidence to various stakeholder farmers in the value chain that the impacts of climate change can be addressed by the adoption of CSA practices. In general, CSA practices are considered indispensable. Smallholder farmers prefer CSA practices that help to increase crop productivity and household resilience to climate change impacts. The results generate a vital foundation for recommendations to smallholder farming decision-makers. It also sensitizes actions for innovative and sustainable methods that are able to upscale the preferred CSA practices in the agricultural system in Geshy watershed of Southwest Ethiopia and other regions.

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    Impact of taxes on the 2030 Agenda for Sustainable Development: Evidence from Organization for Economic Co-operation and Development (OECD) countries
    Md. Mominur RAHMAN
    Regional Sustainability    2023, 4 (3): 235-248.   DOI: 10.1016/j.regsus.2023.07.001
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    Multiple ecological and socioeconomic problems have occurred worldwide, raising the awareness of sustainability. This study aims to examine the impact of taxes on Sustainable Development Goals (SDGs) in the context of Organization for Economic Co-operation and Development (OECD) countries. This research used effective average tax (EAT), tax on personal income (TPI), tax on corporate profits (TCP), and tax on goods and services (TGS) as the variables of taxes, and employed secondary data from 38 OECD countries covering 2000-2021. The study also used Breusch-Pagan Lagrange Multiplier (LM), Pesaran Scaled LM, Bias-Corrected Scaled LM, and Pesaran Cross-sectional dependence (CSD) tests to analyze the existence of cross-sectional dependency. Then, we established the stationarity of variables through second-generation panel unit root tests (Cross-sectional Augmented Dickey-Fuller (CADF) and Cross-sectional Im, Pesaran, and Shin (CIPS)), and confirmed the long-run cointegration of the variables by using second-generation panel cointegration test (Westerlund cointegration test). The results showed that EAT, TPI, TCP, and TGS are positively associated with SDGs. However, the change in TPI has a smaller effect on SDGs than the change in EAT or TCP or TGS. The result of panel causality indicated that EAT, TPI, and TGS have a unidirectional causal relationship with SDGs. The study also found that TCP has a bi-directional causal relationship with SDGs. Moreover, the finding indicated that the OECD countries need to focus on tax policies to achieve the 2030 Agenda for Sustainable Development. This study is based on the theory of optimal taxation (TOT), which suggests that tax systems should be designed to maximize social welfare. Finally, we suggests the importance of taking a comprehensive approach for the managers and policy-makers when analyzing the impact of taxes on SDGs.

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    Urban flood risk assessment under rapid urbanization in Zhengzhou City, China
    LI Guoyi, LIU Jiahong, SHAO Weiwei
    Regional Sustainability    2023, 4 (3): 332-348.   DOI: 10.1016/j.regsus.2023.08.004
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    With accelerated urbanization and climate change, urban flooding is becoming more and more serious. Flood risk assessment is an important task for flood management, so it is crucial to map the spatial and temporal distribution of flood risk. This paper proposed an urban flood risk assessment method that takes into account the influences of hazard, vulnerability, and exposure, by constructing a multi-index urban flood risk assessment framework based on Geographic Information System (GIS). To determine the weight values of urban flood risk index factors, we used the analytic hierarchy process (AHP). Also, we plotted the temporal and spatial distribution maps of flood risk in Zhengzhou City in 2000, 2005, 2010, 2015, and 2020. The analysis results showed that, the proportion of very high and high flood risk zone in Zhengzhou City was 1.362%, 5.270%, 4.936%, 12.151%, and 24.236% in 2000, 2005, 2010, 2015, and 2020, respectively. It is observed that the area of high flood risk zones in Zhengzhou City showed a trend of increasing and expanding, of which Dengfeng City, Xinzheng City, Xinmi City, and Zhongmu County had the fastest growth rate and the most obvious increase. The flood risk of Zhengzhou City has been expanding with the development of urbanization. The method is adapted to Zhengzhou City and will have good adaptability in other research areas, and its risk assessment results can provide a scientific reference for urban flood management personnel. In the future, the accuracy of flood risk assessment can be further improved by promoting the accuracy of basic data and reasonably determining the weight values of index factors. The risk zoning map can better reflect the risk distribution and provide a scientific basis for early warning of flood prevention and drainage.

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    Measuring the agricultural sustainability of India: An application of Pressure-State-Response (PSR) model
    Surendra Singh JATAV, Kalu NAIK
    Regional Sustainability    2023, 4 (3): 218-234.   DOI: 10.1016/j.regsus.2023.05.006
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    Analyzing agricultural sustainability is essential for designing and assessing rural development initiatives. However, accurately measuring agricultural sustainability is complicated since it involves so many different factors. This study provides a new suite of quantitative indicators for assessing agricultural sustainability at regional and district levels, involving environmental sustainability, social security, and economic security. Combining the Pressure-State-Response (PSR) model and indicator approach, this study creates a composite agricultural sustainability index for the 14 mainstream agro-climatic regions of India. The results of this study show that the Trans-Gengatic Plain Region (TGPR) ranks first in agricultural sustainability among India's 14 mainstream agro-climatic regions, while the Eastern Himalayan Region (EHR) ranks last. Higher livestock ownership, cropping intensity, per capita income, irrigation intensity, share of institutional credit, food grain productivity, crop diversification, awareness of minimum support price, knowledge sharing with fellow farmers, and young and working population, as well as better transportation facilities and membership of agricultural credit societies are influencing indicators responsible for higher agricultural sustainability in TGPR compared with EHR. Although, the scores of environmental sustainability indicators of EHR are quite good, its scores of social and economic security indicators are fairly low, putting it at the bottom of the rank of agricultural sustainability index among the 14 mainstream agro-climatic regions in India. This demonstrates the need of understanding agricultural sustainability in relation to social and economic dimensions. In a nation as diverse and complicated as India, it is the social structure that determines the health of the economy and environment. Last but not least, the sustainability assessment methodology may be used in a variety of India's agro-climatic regions.

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    Geotechnical and GIS-based environmental factors and vulnerability studies of the Okemesi landslide, Nigeria
    Oluwakemi Bolanle AKINTAN, Johnson Adedeji OLUSOLA, Olaniyi Patrick IMOLE, Moyosoluwa Odunayo ADEYEMI
    Regional Sustainability    2023, 4 (3): 249-260.   DOI: 10.1016/j.regsus.08.001
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    Landslide is a geological hazard typically associated with extreme events such as earthquakes, heavy rainfall, volcanic eruptions, changes in groundwater level, etc. This study was carried out in Okemesi-Ekiti (also known as Okemesi), Southwest Nigeria, with the purpose of using remote sensing and GIS technologies to analyze the environmental factors (grain size, direct shear strength resistance, rainfall data, wet density, surface, and slope) resulting in the occurrence of the Okemesi landslide. The study also aimed to conduct a vulnerability analysis in the study area to identify regions with a probability of landslide occurrence. The grain size analysis of the soil in the Okemesi landslide area showed that slope materials comprised 17.14% gravel, 59.31% sand, and 19.48% fines, thus the soil type could be classified as poorly graded gravely sand with a high possibility of landslide occurrence. The geomorphic characteristics of the study area was characterized by slopes ranging from 0.00° to 49.00°, while most slopes in the area were less than 8.00°. The slope aspect direction was mainly in south (157.51°-202.50°), southwest (202.51°-247.50°), west (247.51°-292.50°), and north (0.00°-22.50° and 337.51°-360.00°). The highlands were primarily bounded by the slope directions of north (0.00°-22.50° and 337.51°-360.00°), northeast (22.51°-67.50°), east (67.51°-112.51°), and southeast (112.51°-157.50°), which indicated the potential direction of mass movement. The study area can be divided into three vulnerability zones: high, medium, and low, with the area percentages of 9.00%, 61.80%, and 29.20%, respectively. The analysis suggested that the Okemesi landslide was likely triggered by rainfall, which might have weakened the physical structure of slope materials. Understanding the causes and impacts of landslides is crucial for policy-makers to implement measures to mitigate landslide hazards, protect infrastructure, and prevent the loss of life in the landslide-prone regions.

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    Erratum regarding previously published articles
    Regional Sustainability    2023, 4 (3): 215-217.   DOI: 10.1016/j.rejsus.2023.06.001
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    Expert elicitations of smallholder agroforestry practices in Seychelles: A SWOT-AHP analysis
    Daniel ETONGO, Uvicka BRISTOL, Terence Epule EPULE, Ajith BANDARA, Sandra SINON
    Regional Sustainability    2023, 4 (3): 282-295.   DOI: 10.1016/j.regsus.2023.08.006
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    Agroforestry can leverage the co-benefits of climate change adaptation and mitigation while conserving biodiversity and restoring degraded and deforested lands. The preference of relevant stakeholders regarding agroforestry practices enhances sustainable land management through strategic decision-making in Seychelles and other island states. A suitable approach for assessing stakeholders’ preferences of agroforestry is the implementation of the strengths, weaknesses, opportunities, and threats (SWOT) approach in combination with the analytic hierarchy process (AHP) method. The entry point of this study is an extensive literature review process, during which 28 SWOT factors were identified. These SWOT factors were deliberated on during a half-day workshop with agricultural experts who agreed on 20 SWOT factors that reflect the local realities of the Seychelles through a consensus approach. Using the SWOT-AHP approach, focus group discussions were conducted to examine the perceptions of researchers and extension workers about the adoption of agroforestry in Seychelles. The results indicated that the positive aspects of smallholder agroforestry outweigh the negative aspects. For example, increased agricultural production, control runoff and soil erosion receive the highest scores among the strength factors perceived by researchers and extension workers, respectively. The willingness of international organizations to fund agroforestry-related projects and the existence of native tree species on farmlands have the highest scores among the opportunity factors. The lack of education, information, and communication between the government and farmers, and the small land size and crop competition have the highest scores among the weakness factors. Lastly, change in government policies on land use has the highest score among the threat factors by researchers, whereas the most significant threat is climate change and variability for the extension workers. The provision for a 30-year land lease agreement in the National Agroforestry Policy of Seychelles is viewed by both groups as an incentive that could potentially drive the adoption and acceptability of agroforestry. Furthermore, better coordination of various efforts to promote agroforestry and more substantial extension services for farmers, especially the role of technologies for optimal production on small plots of land, can enhance climate resilience in Seychelles and other small island developing states.

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    Human-wildlife conflict: A bibliometric analysis during 1991-2023
    Qamer RIDWAN, Zishan Ahmad WANI, Nahila ANJUM, Jahangeer Ahmad BHAT, Mohd HANIEF, Shreekar PANT
    Regional Sustainability    2023, 4 (3): 309-321.   DOI: 10.1016/j.regsus.2023.08.008
    Abstract32)   HTML1)    PDF(pc) (1029KB)(7)       Save

    The escalating conflict between human and wildlife due to competing demands for limited space and resources has raised concerns worldwide, and understanding the dynamics of this conflict is crucial for devising effective strategies and policies. The present study is an attempt to carry out a bibliometric analysis of the published literature on the topic of human-wildlife conflict (HWC) for the period of January 1991-February 2023. For carrying out the analysis of the data obtained from Web of Science, the ‘Bibliometrix’ tool, developed through the R programming language, was used. The findings of the study revealed that a total of 1592 documents have been published on the HWC research topic from January 1991 to February 2023 within 338 sources. It is observed that the number of publications has continuously increased since 1991, with an annual growth rate of 5.16%. A total of 4995 authors have contributed to the targeted research field. Of the 388 sources, the journal ‘Biological Conservation’ is the most relevant and productive, followed by ‘Oryx’ and ‘Human Dimensions of Wildlife’. Based on the country production analysis, authors from 110 countries have contributed to the field, and the USA has the highest frequency of publications on HWC, followed by the UK and Australia. The USA also has the highest multiple country publications and has collaborated with 88 countries, with the highest frequency of collaboration with the UK, followed by India, Australia, and South Africa. The most frequently used keywords include ‘human-wildlife conflict’, ‘conservation’, ‘conflict’, ‘human-wildlife’, ‘wildlife’, ‘wildlife management’, ‘livestock’, ‘management’, ‘coexistence’, and ‘carnivore’. The present study identifies the most prolific authors, sources, institutions, and countries, as well as the study hotspots in the subject of HWC, which may assist researchers in finding the best working and publication platforms. Further, it may also help them identify reliable research partners to acquire the best findings and develop more effective strategies and policies to address the issue.

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    How Himalayan communities are changing cultivation practices in the context of climate change
    SUBEDI Ashma, RAUT Nani, GURUNG Smriti
    Regional Sustainability    2023, 4 (4): 378-389.   DOI: 10.1016/j.regsus.2023.11.001
    Abstract32)   HTML3)    PDF(pc) (643KB)(6)       Save

    Climate change can have significant impacts on crop yields and food security. This study assessed the linkages between climate change and crop yields to obtain a better understanding on the drivers of food security. The study was conducted in Pasagaun village of Lamjung District in Nepal, where household surveys and focus group discussions (FGDs) were used to collect data including crop cultivation, irrigation facilities, and adaptation strategies. Moreover, climate data (temperature and precipitation) from 1992 to 2020 were collected from the Khudi Bazar meteorological station and crop yield data were obtained from the Agri-Business Promotion and Statistics Division. Trend analysis of temperature and precipitation was conducted using Mann-Kendall trend test and Sen’s slope method, and the results showed an increase in the average temperature of approximately 0.02°C/a and a decrease in the annual precipitation of 9.84 mm/a. The cultivation of traditional varieties of rice and foxtail millet (Kaguno) has vanished. Although, there was no significant impact of the maximum temperature on the yield of rice and maize, the regression analysis revealed that there are negative relationships between rice yield and annual minimum temperature (r= -0.44), between millet yield and annual precipitation (r= -0.30), and between maize yield and annual minimum temperature (r= -0.31), as well as positive relationship between rice yield and annual precipitation (r=0.16). Moreover, average rice yield and millet yield have decreased by 27.0% and 57.0% in 2000-2020, respectively. Despite other reasons for the decrease in crop yield such as the lack of irrigation facilities, out-migration of farmer, and increased pest infestation, respondents have adopted adaptation strategies (for example, shifts in cultivation time and changes in crop types) to minimize the impacts of climate change. More investigation and community-based farming education are needed to understand and alleviate the harmful impacts of climate change on crop yield, as effective adaptation coping strategies are still insufficient. This study provides insights into the adaptation strategies that are necessary to keep food security in the face of climate change.

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    Examination of the poverty-environmental degradation nexus in Sub-Saharan Africa
    Sadat Daaki SSEKIBAALA, Twaha Ahmed KASULE
    Regional Sustainability    2023, 4 (3): 296-308.   DOI: 10.1016/j.regsus.2023.08.007
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    The relationship between environmental degradation and poverty has increasingly become the focus of national strategic decision-making in recent years. However, despite several theoretical explorations on the nexus, a dearth of empirical literature on the poverty-environmental degradation nexus, specifically on Sub-Saharan Africa (SSA), still exists. In this study, we investigated the poverty-environmental degradation nexus in SSA. We hypothesized that poverty is both a cause and effect of environmental degradation, and this relationship is explained as a vicious cycle. Unlike previous studies, we employed several alternative indicators of environmental degradation to examine the poverty-environmental degradation nexus in this study. We used data from 41 countries of SSA between 1996 and 2019 and employed the generalized method of moments (GMM) approach. The findings suggest a cyclical relationship between poverty and environmental degradation in SSA, which confirms that an increase in poverty leads to an increase in environmental degradation, especially in deforestation and PM2.5 emissions. Similarly, the increase in environmental degradation positively affects poverty in SSA. We also confirmed that exogenous conditioning factors such as population growth rate, education, industrialization, and income inequality, institutional quality indicators such as governance effectiveness, control of corruption, freedom ad civil liberty, and democracy, and endogenous factors including fossil fuel energy use, fuelwood energy use, household health expenditure, infant mortality rate, and agriculture productivity influence the nexus between poverty and environmental degradation. The findings on the relationship between poverty and environmental degradation in SSA are a testimonial evidence that both poverty and environmental degradation are significant issues in SSA. Hence, poverty alleviation policies in SSA should not lead to PM2.5 emissions and deforestation, which may as well force people into a poverty-environmental degradation trap. Instead, poverty reduction policies should simultaneously achieve environmental conservation.

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    Research on the implementation of the Convention on Biological Diversity among the Shanghai Cooperation Organisation countries
    HAO Yun, WU Miao, ZHANG Xiaoyun, WANG Lixian, HE Jingjing
    Regional Sustainability    2023, 4 (3): 322-331.   DOI: 10.1016/j.regsus.2023.08.005
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    The Shanghai Cooperation Organisation (SCO) is the most extensive and populous comprehensive regional cooperation organization in the world, covering about half of the world's population, with not only a huge consumer market, but also rich natural resources and strong productivity. As one of the important platforms for the implementation of the Green Belt and Road Initiative, it is an important opportunity for the SCO to actively participate in global governance and contribute to building a community of global life. To investigate the status of biodiversity conservation in the SCO countries, we used literature analysis approach. We surveyed the performance and international cooperation status of the SCO countries in the implementation of the Convention on Biological Diversity (CBD), listed facing problems and threats to biodiversity conservation, including not optimistic biodiversity conservation project implementation status, contradiction between ecological protection and economic development, impacts of human activities, lack of funds and talents, etc., and analyzed the biodiversity protection needs of the SCO countries from the perspectives of project and policy implementation status and international cooperation. According to the cooperation between China and the other SCO countries on biodiversity conservation and the post-2020 global biodiversity framework goals, we gave some recommendations: (1) promoting access to genetic resources and benefit-sharing; (2) integrating multiple funds and innovating the implementation of funding mechanism; (3) developing talent training and exchange programs and deepening multilateral cooperation; (4) strengthening cross-border cooperation and improving cooperation network; and (5) establishing a coordination mechanism for biodiversity conservation within the framework of the SCO.

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    Rural sustainable development: A case study of the Zaozhuang Innovation Demonstration Zone in China
    Binsheng LIU, Xiaohui ZHANG, Junfeng TIAN, Ruimin CAO, Xinzhang SUN, Bin XUE
    Regional Sustainability    2023, 4 (4): 390-404.   DOI: 10.1016/j.regsus.2023.11.004
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    Sustainable development is the central theme of modern global development. With the arrival of the urban era, the vulnerability and instability of rural areas have significantly increased, and rural sustainable development faces serious challenges. To address these issues, the study took the Zaozhuang Innovation Demonstration Zone in China under the National Sustainable Development Agenda as a case, combined with economic, social and land use data during 2016-2020, and applied Granger causality test method to explore the theoretical and practical pathways of “innovation-driven rural sustainable development”. The results showed that rural sustainable development and economic sustainability displayed a trend of synergistic change, with “explosive” growth from 2018 to 2020. The social sustainability steadily increased from 2016 to 2020. Ecological and spatial sustainability continuously declined during the study period. Moreover, the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone displayed rapid growth during 2016-2020. Although the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone has rapidly improved, it has a weak driving effect on rural sustainable development and economic sustainability. There are two primary challenges that must be overcome to ensure the rural sustainable development of the Zaozhuang Innovation Demonstration Zone. The first challenge is the imbalance among the multi-dimensional relationships in the process of rural sustainable development, and the second challenge is the weakening of rural innovation capacity to drive rural sustainable development. To overcome these challenges, this study proposed a systematic pathway for rural sustainable development in the Zaozhuang Innovation Demonstration Zone from multi-dimensions, such as policy actions, technologies, projects, and institutional guarantees, and formed a universal and representative “Zaozhuang model”. This study expands the theoretical foundation of rural sustainable development and provides theoretical and practical support for innovation-driven rural sustainable development.

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