Regional Sustainability最新文献

{"title":"Encouraging circular economy and sustainable environmental practices by addressing waste management and biomass energy production","authors":"Nazim Forid Islam ,&nbsp;Bhoirob Gogoi ,&nbsp;Rimon Saikia ,&nbsp;Balal Yousaf ,&nbsp;Mahesh Narayan ,&nbsp;Hemen Sarma","doi":"10.1016/j.regsus.2024.100174","DOIUrl":"10.1016/j.regsus.2024.100174","url":null,"abstract":"<div><div>The current linear economy assumes abundant, easily accessible, and cost-effective natural resources. However, this assumption is unsustainable, especially considering the world’s current trajectory exceeding the Earth’s ecological limits. In contrast, circular economy (CE) reduces wastes and improves resource efficiency, making them a more sustainable alternative to the dominant linear model. Biomass energy generated from agricultural leftovers, forestry wastes, and municipal trash provides a renewable substitute for fossil fuels. This reduces greenhouse gas emissions and improves energy security. Proper waste management, including trash reduction, recycling, and innovative waste-to-energy technology, reduces the burden on landfills and incineration and creates renewable energy from materials that would otherwise go to waste. Although integrating these techniques is consistent with the CE’s resource efficiency and waste minimization principles, it requires addressing environmental, technical, and socioeconomic challenges. Given the pressing global issues, transitioning to a CE and implementing sustainable environmental practices are crucial to mitigate the current waste management crisis. The aim of this study is to emphasize the viability of biomass as a source of sustainable energy, the necessity of comprehensive strategies that prioritize ecological sustainability, community involvement, and innovation to achieve a circular principle based future, and the potential obstacles to the implementation of sustainable environmental practices. This study will aid in implementing CE practices to accomplish the Sustainable Development Goals (SDGs) by reducing greenhouse gas emissions and landfill loads. Beyond environmental benefits, it can also bring economic, social, and health improvements. Furthermore, this study will assist societies in addressing global issues, such as resource scarcity, pollution, and climate change, as well as transitioning to a more sustainable and resilient future.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart specialization, public authorities, and innovation intermediaries in developing regions","authors":"Hugo Pinto ,&nbsp;Manuel Laranja ,&nbsp;Elvira Uyarra","doi":"10.1016/j.regsus.2024.100175","DOIUrl":"10.1016/j.regsus.2024.100175","url":null,"abstract":"<div><div>Despite a growing body of literature on smart specialization, the role of public authorities and innovation intermediaries, particularly in developing regions, remains understudied. This research examines one of the first attempts to apply the smart specialization framework to the development of an innovation strategy outside Europe, specifically in the Pernambuco State, Brazil. We focus on two priority areas (clothing and high-tech automotive components) identified by the state government as key targets for pilot policy experimentation and use different methods, such as social network analysis and content analysis, to interview strategic innovation actors for studying the promotion of innovation and regional development in Pernambuco. Findings highlight how regional governance, collaboration, and trust are shaped by public authorities and innovation intermediaries. The study identifies three key challenges in implementing smart specialization strategy in developing regions: i.e., achieving effective decentralization, cultivating an innovation culture, and establishing participatory governance mechanisms. The public sector actors act as crucial knowledge brokers and policy intermediaries, facilitating the linkages and partnerships necessary to overcome these challenges.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100175"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driving factors of CO2 emissions in South American countries: An application of Seemingly Unrelated Regression model","authors":"Gadir Bayramli ,&nbsp;Turan Karimli","doi":"10.1016/j.regsus.2024.100182","DOIUrl":"10.1016/j.regsus.2024.100182","url":null,"abstract":"<div><div>Carbon emissions have become a critical concern in the global effort to combat climate change, with each country or region contributing differently based on its economic structures, energy sources, and industrial activities. The factors influencing carbon emissions vary across countries and sectors. This study examined the factors influencing CO₂ emissions in the 7 South American countries including Argentina, Brazil, Chile, Colombia, Ecuador, Peru, and Venezuela. We used the Seemingly Unrelated Regression (SUR) model to analyse the relationship of CO₂ emissions with gross domestic product (GDP), renewable energy use, urbanization, industrialization, international tourism, agricultural productivity, and forest area based on data from 2000 to 2022. According to the SUR model, we found that GDP and industrialization had a moderate positive effect on CO₂ emissions, whereas renewable energy use had a moderate negative effect on CO₂ emissions. International tourism generally had a positive impact on CO₂ emissions, while forest area tended to decrease CO₂ emissions. Different variables had different effects on CO₂ emissions in the 7 South American countries. In Argentina and Venezuela, GDP, international tourism, and agricultural productivity significantly affected CO₂ emissions. In Colombia, GDP and international tourism had a negative impact on CO₂ emissions. In Brazil, CO₂ emissions were primarily driven by GDP, while in Chile, Ecuador, and Peru, international tourism had a negative effect on CO₂ emissions. Overall, this study highlights the importance of country-specific strategies for reducing CO₂ emissions and emphasizes the varying roles of these driving factors in shaping environmental quality in the 7 South American countries.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100182"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Cellular Automata and Markov Chain model for urban green infrastructure in Kuala Lumpur, Malaysia","authors":"Jafarpour Ghalehteimouri Kamran,&nbsp;Che Ros Faizah,&nbsp;Rambat Shuib","doi":"10.1016/j.regsus.2024.100179","DOIUrl":"10.1016/j.regsus.2024.100179","url":null,"abstract":"<div><div>Kuala Lumpur of Malaysia, as a tropical city, has experienced a notable decline in its critical urban green infrastructure (UGI) due to rapid urbanization and haphazard development. The decrease of UGI, especially natural forest and artificial forest, may reduce the diversity of ecosystem services and the ability of Kuala Lumpur to build resilience in the future. This study analyzed land use and land cover (LULC) and UGI changes in Kuala Lumpur based on Landsat satellite images in 1990, 2005, and 2021and employed the overall accuracy and Kappa coefficient to assess classification accuracy. LULC was categorized into six main types: natural forest, artificial forest, grassland, water body, bare ground, and built-up area. Satellite images in 1990, 2005, and 2021 showed the remarkable overall accuracy values of 91.06%, 96.67%, and 98.28%, respectively, along with the significant Kappa coefficient values of 0.8997, 0.9626, and 0.9512, respectively. Then, this study utilized Cellular Automata and Markov Chain model to analyze the transition of different LULC types during 1990–2005 and 1990–2021 and predict LULC types in 2050. The results showed that natural forest decreased from 15.22% to 8.20% and artificial forest reduced from 18.51% to 15.16% during 1990–2021. Reductions in natural forest and artificial forest led to alterations in urban surface water dynamics, increasing the risk of urban floods. However, grassland showed a significant increase from 7.80% to 24.30% during 1990–2021. Meanwhile, bare ground increased from 27.16% to 31.56% and built-up area increased from 30.45% to 39.90% during 1990–2005. In 2021, built-up area decreased to 35.10% and bare ground decreased to 13.08%, indicating a consistent dominance of built-up area in the central parts of Kuala Lumpur. This study highlights the importance of integrating past, current, and future LULC changes to improve urban ecosystem services in the city.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100179"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Livelihood vulnerability of indigenous people to climate change around the Kerinci Seblat National Park in Bengkulu, Indonesia","authors":"Septri Widiono ,&nbsp;Ekawati Sri Wahyuni ,&nbsp;Lala M. Kolopaking ,&nbsp;Arif Satria","doi":"10.1016/j.regsus.2024.100181","DOIUrl":"10.1016/j.regsus.2024.100181","url":null,"abstract":"<div><div>Indigenous people around the Kerinci Seblat National Park (KSNP), Indonesia, have a high dependence on forest resources as their main source of livelihood. This study addressed the vulnerability of Rejang indigenous people around the KSNP to climate change. The popular livelihood vulnerability index (LVI) model was adapted by adding and modifying subcomponents suitable for the study area. Primary data were collected through household surveys in two communities: Embong and Topos. In total, 146 samples were selected for this study using stratified random sampling. The results showed that Embong was more vulnerable to climate change than Topos. Embong exhibited a higher level of vulnerability to the effects of socio-demographic profile, social network, health, and natural disasters and climate variability, whereas Topos was more vulnerable to livelihood strategy, food, and water. Furthermore, Embong was more exposed to natural disasters and climate variability than Topos, but it demonstrated higher adaptive capacity and lower sensitivity than Topos. Nevertheless, socio-demographic profile influenced adaptive capacity in both communities. Sensitivity was influenced most by health in Embong, and sensitivity was influenced most by food in Topos. Although the vulnerability levels were not high in the two communities, several subcomponents must be specifically considered. Overall, this study can help the government make informed decisions to enhance adaptive capacity of the KSNP to climate change.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100181"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between drought and soil erosion based on the normalized differential water index (NDWI) and revised universal soil loss equation (RUSLE) model","authors":"Muhammad Rendana ,&nbsp;Wan Mohd Razi Idris ,&nbsp;Febrinasti Alia ,&nbsp;Supli Effendi Rahim ,&nbsp;Muhammad Yamin ,&nbsp;Muhammad Izzudin","doi":"10.1016/j.regsus.2024.100183","DOIUrl":"10.1016/j.regsus.2024.100183","url":null,"abstract":"<div><div>The Langat River Basin in Malaysia is vulnerable to soil erosion risks because of its exposure to intensive land use activities and its topography, which primarily consists of steep slopes and mountainous areas. Furthermore, climate change frequently exposes this basin to drought, which negatively affects soil and water conservation. However, recent studies have rarely shown how soil reacts to drought, such as soil erosion. Therefore, the purpose of this study is to evaluate the relationship between drought and soil erosion in the Langat River Basin. We analyzed drought indices using Landsat 8 satellite images in November 2021, and created the normalized differential water index (NDWI) via Landsat 8 data to produce a drought map. We used the revised universal soil loss equation (RUSLE) model to predict soil erosion. We verified an association between the NDWI and soil erosion data using a correlation analysis. The results revealed that the southern and northern regions of the study area experienced drought events. We predicted an average annual soil erosion of approximately 58.11 t/(hm²•a). Analysis of the association between the NDWI and soil erosion revealed a strong positive correlation, with a Pearson correlation coefficient of 0.86. We assumed that the slope length and steepness factor was the primary contributor to soil erosion in the study area. As a result, these findings can help authorities plan effective measures to reduce the impacts of drought and soil erosion in the future.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100183"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of geopolitical risk, GDP, inflation, interest rate, and trade openness on foreign direct investment: Evidence from five Southeast Asian countries","authors":"Md. Shaddam Hossain,&nbsp;Liton Chandra Voumik,&nbsp;Tahsin Tabassum Ahmed,&nbsp;Mehnaz Binta Alam,&nbsp;Zabin Tasmim","doi":"10.1016/j.regsus.2024.100177","DOIUrl":"10.1016/j.regsus.2024.100177","url":null,"abstract":"<div><div>Historically, geopolitical risk (GPR) has posed significant challenges to international economic, social, and political frameworks. This study investigated how internal GPR in the selected five Southeast Asian countries (Indonesia, South Korea, Malaysia, the Philippines, and Thailand) influences foreign direct investment (FDI) during 1996–2019. The stationarity of the data was assessed using the Augmented Dickey-Fuller (ADF) unit root test, which shows that the data became stationary after the first difference. The Kao, Pedroni, and Westerlund cointegration tests were employed to examine long-term cointegration among the selected variables (FDI, GPR index (GPRI), gross domestic product (GDP), inflation, interest rate, and trade openness (TOP)). The results indicated that these variables have a long-term cointegration. Consequently, regression analysis using the Pooled Ordinary Least Squares (OLS) regression, fixed effect, random effect, Arellano-Bond dynamic panel-data estimation, and system generalized moment method (GMM) revealed that GPRI and TOP negatively impacted FDI in the selected five Southeast Asian countries. At the same time, GDP, inflation, and interest rate positively influenced FDI in these countries. Because FDI is crucial to shaping a country’s macroeconomic structure, this study recommends that governments and central banks of the selected five Southeast Asian countries should implement policies and strategies to encourage foreign investments.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 4","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change vulnerability assessment in the new urban planning process in Tanzania","authors":"Issa Nyashilu ,&nbsp;Robert Kiunsi ,&nbsp;Alphonce Kyessi","doi":"10.1016/j.regsus.2024.100155","DOIUrl":"10.1016/j.regsus.2024.100155","url":null,"abstract":"<div><div>Climate change vulnerability assessment is an essential tool for identifying regions that are most susceptible to the impacts of climate change and designing effective adaptation actions that can reduce vulnerability and enhance long-term resilience of these regions. This study explored a framework for climate change vulnerability assessment in the new urban planning process in Jangwani Ward, Tanzania. Specifically, taking flood as an example, this study highlighted the steps and methods for climate change vulnerability assessment in the new urban planning process. In the study area, 95 households were selected and interviewed through purposeful sampling. Additionally, 10 respondents (4 females and 6 males) were interviewed for Focus Group Discussion (FGD), and 3 respondents (1 female and 2 males) were selected for Key Informant Interviews (KII) at the Ministry of Lands, Housing and Human Settlements Development. This study indicated that climate change vulnerability assessment framework involves the assessment of climatic hazards, risk elements, and adaptive capacity, and the determination of vulnerability levels. The average hazard risk rating of flood was 2.3. Socioeconomic and livelihood activities and physical infrastructures both had the average risk element rating of 3.0, and ecosystems had the average risk element rating of 2.9. Adaptive capacity ratings of knowledge, technology, economy or finance, and institution were 1.6, 1.9, 1.4, and 2.2, respectively. The vulnerability levels of socioeconomic and livelihood activities and physical infrastructure were very high (4.0). Ecosystems had a high vulnerability level (3.8) to flood. The very high vulnerability level of socioeconomic and livelihood activities was driven by high exposure and sensitivity to risk elements and low adaptive capacity. The study recommends adoption of the new urban planning process including preparation, planning, implementation, and monitoring-evaluation-review phases that integrates climate change vulnerability assessment in all phases.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 3","pages":"Article 100155"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding factors affecting non-participants’ interest in community-supported agriculture","authors":"Maula Fadhilata Rahmatika,&nbsp;Agus Suman,&nbsp;Wildan Syafitri,&nbsp;Sri Muljaningsih","doi":"10.1016/j.regsus.2024.100160","DOIUrl":"10.1016/j.regsus.2024.100160","url":null,"abstract":"<div><div>Community-supported agriculture (CSA) has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia. This study uses the well-established unified theory of acceptance and use of technology (UTAUT2) model to examine the interest in CSA of potential customers in Indonesia. A standardized questionnaire was distributed to 1200 respondents, and the data were analyzed using structural equation model-partial least square (SEM-PLS) in SmartPLS 4.0 software. The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia. The model explains 44.4% of customers’ intentions, and identifies performance expectancy as the decisive factor in customers’ willingness to participate in CSA. Performance expectancy (0.292), hedonic motivation (0.262), social influence (0.259), and facilitating conditions (0.086) positively influence customers’ interest in participating in a CSA program. The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies, offering training on sustainable farming practices, facilitating the establishment of distribution channels, and establishing guidelines for fair price and quality standards. This study shows the high potential for the implementation of CSA in Indonesia. It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 3","pages":"Article 100160"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics and drivers of the soil multifunctionality under different land use and land cover types in the drylands of China","authors":"Song Boyi ,&nbsp;Zhang Shihang ,&nbsp;Lu Yongxing ,&nbsp;Guo Hao ,&nbsp;Guo Xing ,&nbsp;Wang Mingming ,&nbsp;Zhang Yuanming ,&nbsp;Zhou Xiaobing ,&nbsp;Zhuang Weiwei","doi":"10.1016/j.regsus.2024.100162","DOIUrl":"10.1016/j.regsus.2024.100162","url":null,"abstract":"<div><div>The drylands of China cover approximately 6.6×10⁶ km² and are home to approximately 5.8×10⁸ people, providing important ecosystem services for human survival and development. However, dryland ecosystems are extremely fragile and sensitive to external environmental changes. Land use and land cover (LULC) changes significantly impact soil structure and function, thus affecting the soil multifunctionality (SMF). However, the effect of LULC changes on the SMF in the drylands of China has rarely been reported. In this study, we investigated the characteristics of the SMF changes based on soil data in the 1980s from the National Tibetan Plateau Data Center. We explored the drivers of the SMF changes under different LULC types (including forest, grassland, shrubland, and desert) and used structural equation modeling to explore the main driver of the SMF changes. The results showed that the SMF under the four LULC types decreased in the following descending order: forest, grassland, shrubland, and desert. The main driver of the SMF changes under different LULC types was mean annual temperature (MAT). In addition to MAT, pH in forest, soil moisture (SM) and soil biodiversity index in grassland, SM in shrubland, and aridity index in desert are crucial factors for the SMF changes. Therefore, the SMF in the drylands of China is regulated mainly by MAT and pH, and comprehensive assessments of the SMF in drylands need to be performed regarding LULC changes. The results are beneficial for evaluating the SMF among different LULC types and predicting the SMF under global climate change.</div></div>","PeriodicalId":34395,"journal":{"name":"Regional Sustainability","volume":"5 3","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}