Most Down Articles

Published in last 1 year| In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

Published in last 1 year

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

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 （32）   HTML （14）    PDF（pc） （611KB）（286）       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）

Select

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 （42）   HTML （13）    PDF（pc） （6169KB）（228）       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）

Select

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 （25）   HTML （12）    PDF（pc） （976KB）（222）       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）

Select

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 （29）   HTML （15）    PDF（pc） （4744KB）（181）       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）

Select

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 （38）   HTML （12）    PDF（pc） （511KB）（181）       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）

Select

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 （27）   HTML （11）    PDF（pc） （1840KB）（153）       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）

Select

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 （28）   HTML （13）    PDF（pc） （1587KB）（153）       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）

Select

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 （26）   HTML （8）    PDF（pc） （2933KB）（113）       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）

Select

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 （44）   HTML （12）    PDF（pc） （3750KB）（99）       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）

Select

Spatial differences of Sustainable Development Goals (SDGs) among counties (cities) on the northern slope of the Kunlun Mountains WANG Tao, ZHOU Daojing, FAN Jie Regional Sustainability    2024, 5 (1): 100108-.   DOI: 10.1016/j.regsus.2024.03.002 Abstract （64）   HTML （26）    PDF（pc） （879KB）（59）       Knowledge map    Save The county (city) located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region, China in poverty alleviation. Its Sustainable Development Goals (SDGs) are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region. This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’ SDGs. The aim of this study is to quantitatively assess the progress of SDGs at the county (city) level on the northern slope of the Kunlun Mountains. The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains. Notable high scores of SDGs are observed in the central and eastern regions, whereas lower scores are prevalent in the western areas. The scores of SDGs, in descending order, are as follows: 62.22 for Minfeng County, 54.22 for Hotan City, 50.21 for Qiemo County, 42.54 for Moyu County, 41.56 for Ruoqiang County, 41.39 for Qira County, 39.86 for Lop County, 38.25 for Yutian County, 38.10 for Pishan County, and 36.87 for Hotan County. The performances of SDGs reveal that Hotan City, Lop County, Minfeng County, and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color. However, Hotan County, Moyu County, Qira County, and Yutian County show the poorest performance, as they lack SDGs with green color. It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries, sustained improvement in the capacity of rural governance, and the gradual improvement of social security system. These measures will facilitate the effective implementation of SDGs. Finally, this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes. In addition, these results hold significant reference value for assessing SDGs at the county (city) level, particularly in areas characterized by low levels of economic development. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

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 Abstract （50）   HTML （7）    PDF（pc） （1871KB）（40）       Knowledge map    Save 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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

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 Abstract （94）   HTML （15）    PDF（pc） （724KB）（28）       Knowledge map    Save 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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Socio-economic vulnerability level in the Jeneberang watershed in Gowa Regency, South Sulawesi Province, Indonesia Andi Rachmat ARFADLY, Hazairin ZUBAIR, MAHYUDDIN, Andang Suryana SOMA Regional Sustainability    2024, 5 (1): 100113-.   DOI: 10.1016/j.regsus.2024.03.007 Abstract （55）   HTML （8）    PDF（pc） （523KB）（28）       Knowledge map    Save Jeneberang watershed is vital, particularly for people living in Gowa Regency (South Sulawesi Province, Indonesia), who benefit from its many advantages. Landslides and floods occur every year in the Jeneberang watershed, so it is imperative to understand the socio-economic vulnerability of this region. This research aims to identify the vulnerability level of the Jeneberang watershed so that the government can prioritize areas with high vulnerability level and formulate effective strategies to reduce these the vulnerability. Specifically, this study was conducted in 12 districts located in the Jeneberang watershed. The primary data were collected from questionnaires completed by community members, community leaders, and various stakeholders, and the secondary data were from the Landsat satellite imagery in 2020, the Badan Push Statistic of Gowa Regency, and some governmental agencies. The socio-economic vulnerability variables were determined using the Multiple Criteria Decision Analysis (MCDA) method, and each variable was weighted and analyzed using the Geographical Information System (GIS). The study reveals that the levels of socio-economic vulnerability are affected by variables such as population density, vulnerable groups (disabled people, elderly people, and young people), road network and settlement, percentage of poor people, and productive land area in the Jeneberang watershed. Moreover, all of the 12 districts in the Jeneberang watershed are included in the medium vulnerability level, with the mean percentage of socio-economic vulnerability around 50.92%. The socio-economic vulnerability of Bajeng, Pallangga, and Somba Opu districts is categorized at high level, the socio-economic vulnerability of Bungaya, Parangloe, and Tombolo Pao districts is classified as medium level, and the remaining 6 districts (Barombong, Bontolempangan, Bontomarannu, Manuju, Parigi, and Tinggimoncong) are ranked as low socio-economic vulnerability. This study can help policy-makers to formulate strategy that contributes to the protection of biodiversity and sustainable development of the Jeneberang watershed, while improving disaster resilience and preparedness of the watershed. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

A tale of duality: Community perceptions towards the ecotourism impacts on Simien Mountains National Park, Ethiopia Tewodros ABUHAY, Endalkachew TESHOME, Gashaw MULU Regional Sustainability    2023, 4 (4): 453-464.   DOI: 10.1016/j.regsus.2023.11.007 Abstract （45）   HTML （8）    PDF（pc） （408KB）（28）       Knowledge map    Save This study aims to analyze how park households perceive the economic, socio-cultural, and environmental impacts of ecotourism in Simien Mountain National Park (SMNP), Ethiopia. We combined qualitative and quantitative techniques for data collection. A sequentially embedded mixed design that gives priority to quantitative data was used. We also employed a multistage sampling technique to select respondents from three districts or woredas, namely Debark, Janamora, and Beyeda woredas. Finally, 397 participants were involved in the study from a random selection of three villages from each district or woreda. Data were gathered using a survey questionnaire, interviews, and focus group discussions. Data were analyzed using both descriptive and inferential statistical methods, including means, standard deviations, analysis of variance (ANOVA), and logistic regression models. The findings from a logistic regression analysis revealed that ecotourism participation had a significant relationship with gender (B=1.850, P=0.023), level of education (B=0.238, P=0.032), geographical location (B=0.420, P=0.041), and occupation (B=0.920, P=0.019). This investigation suggested that males and individuals with a higher educational background are more likely to possess optimistic perspectives concerning the impacts of ecotourism. Furthermore, individuals residing in districts relatively near ecotourism destinations, those engaged in tourism-related work, and younger participants were recognized as having optimistic viewpoints regarding the impacts of ecotourism. In conclusion, the study highlighted the need for collaborative efforts among stakeholders to maximize ecotourism’s benefits and minimize negative effects in SMNP. To achieve this, it is recommended that the Ethiopian Wildlife Conservation Agency, the Ministry of Tourism, and local government should work together to develop sustainable tourism plans that enhance local livelihoods and park conditions. Efforts should focus on increasing the participation of females and individuals with lower education levels through training and resource provision. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

How Himalayan communities are changing cultivation practices in the context of climate change Ashma SUBEDI, Nani RAUT, Smriti GURUNG Regional Sustainability    2023, 4 (4): 378-389.   DOI: 10.1016/j.regsus.2023.11.001 Abstract （82）   HTML （10）    PDF（pc） （643KB）（27）       Knowledge map    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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

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 Abstract （83）   HTML （13）    PDF（pc） （446KB）（25）       Knowledge map    Save 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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

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 Abstract （65）   HTML （4）    PDF（pc） （1029KB）（24）       Knowledge map    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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

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 Abstract （46）   HTML （7）    PDF（pc） （264KB）（22）       Knowledge map    Save 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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

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 Abstract （103）   HTML （11）    PDF（pc） （560KB）（20）       Knowledge map    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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Social interactions in periodic urban markets and their contributions to sustainable livelihoods: Evidence from Ghana Godfred ADDAI, Owusu AMPONSAH, Romanus Dogkubong DINYE Regional Sustainability    2023, 4 (4): 369-377.   DOI: 10.1016/j.regsus.2023.10.002 Abstract （48）   HTML （8）    PDF（pc） （476KB）（20）       Knowledge map    Save Periodic markets are an important aspect of local economies, providing a platform for farmers (producers), wholesalers, retailers, and consumers to interact face-to-face and exchange goods and services. These markets have been increasing in urban areas in Africa, Asia, and South America because of urbanization. The increase of periodic urban markets (PUMs) in urban areas is observed as an index of modernization, reflecting a response to transition process. However, there are limited studies on how social interactions in PUMs contribute to sustainable livelihoods. This study investigated the types of social interactions occurring in PUMs in Ghana, the benefits of social interactions for participants of PUMs, and how social interactions contribute to sustainable livelihoods. This research interviewed 162 participants, comprising 27 farmers (farmers were regarded as producers in this study), 61 retailers, 47 wholesalers from 9 selected PUMs across Ghana, and 27 officers from government institutions and non-governmental market associations to obtain their opinions. We analyzed the interview data using the NVivo software. The results showed that there are seven kinds of social interactions in PUMs, including (i) producer-wholesaler relationship, (ii) producer-consumer relationship, (iii) wholesaler-retailer relationship, (iv) retailer-consumer relationship, (v) trader-driver relationship, (vi) trader-institution relationship, and (vii) trader-international buyer relationship. We found that these social interactions in PUMs enhance sustainable livelihoods by supporting human, social, financial, natural, and physical assets of traders (traders refer to producers, wholesalers, and retailers in this study). Therefore, we concluded that the development of policies to improve PUMs could strengthen social interactions, enabling the achievement of sustainable livelihoods in developing countries. Table and Figures | Reference | Related Articles | Metrics | Comments（0）