Pub Date : 2026-02-01DOI: 10.1016/j.indic.2025.101042
Moslem Savari , Bagher Khaleghi
Climate Smart Agriculture (CSA) represents a progressive approach to the sustainable management of agricultural resources, playing a critical role in enhancing productivity, reducing operational costs, and mitigating the impacts of climate change. Recognizing the significance of CSA in rice cultivation, this study investigates the factors influencing the adoption of CSA practices among rice farmers in Shushtar County, Khuzestan Province, Iran. The theoretical framework was grounded in Protection Motivation Theory (PMT), with two additional behavioral constructs—social norms (SN) and habits—integrated to enrich the model. Data were collected via a structured questionnaire and analyzed using structural equation modeling. Findings revealed that the original PMT framework accounted for 57.9 % of the variance in CSA adoption. Key constructs—perceived severity (PS), perceived vulnerability (PV), response cost (CR), response efficacy (RE), and self-efficacy (SE)—all demonstrated significant influence. Notably, the extended model incorporating SN and habits improved explanatory power by an additional 22 %, underscoring the relevance of social and behavioral dimensions in shaping farmer decisions. Among all variables, perceived vulnerability and response efficacy emerged as the most influential factors. Based on these insights, it is recommended that policymakers prioritize initiatives that raise awareness of climate-related risks and enhance farmers’ understanding of their vulnerability. Such efforts can foster greater engagement with CSA practices and support sustainable agricultural development in climate-sensitive regions.
{"title":"Healthy rice production with environmental sustainability through climate smart agriculture: based on evidence from Iran","authors":"Moslem Savari , Bagher Khaleghi","doi":"10.1016/j.indic.2025.101042","DOIUrl":"10.1016/j.indic.2025.101042","url":null,"abstract":"<div><div>Climate Smart Agriculture (CSA) represents a progressive approach to the sustainable management of agricultural resources, playing a critical role in enhancing productivity, reducing operational costs, and mitigating the impacts of climate change. Recognizing the significance of CSA in rice cultivation, this study investigates the factors influencing the adoption of CSA practices among rice farmers in Shushtar County, Khuzestan Province, Iran. The theoretical framework was grounded in Protection Motivation Theory (PMT), with two additional behavioral constructs—social norms (SN) and habits—integrated to enrich the model. Data were collected via a structured questionnaire and analyzed using structural equation modeling. Findings revealed that the original PMT framework accounted for 57.9 % of the variance in CSA adoption. Key constructs—perceived severity (PS), perceived vulnerability (PV), response cost (CR), response efficacy (RE), and self-efficacy (SE)—all demonstrated significant influence. Notably, the extended model incorporating SN and habits improved explanatory power by an additional 22 %, underscoring the relevance of social and behavioral dimensions in shaping farmer decisions. Among all variables, perceived vulnerability and response efficacy emerged as the most influential factors. Based on these insights, it is recommended that policymakers prioritize initiatives that raise awareness of climate-related risks and enhance farmers’ understanding of their vulnerability. Such efforts can foster greater engagement with CSA practices and support sustainable agricultural development in climate-sensitive regions.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101042"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to “The dynamics of social conflict and deforestation: Empirical evidence from the refugee crisis in southeast Bangladesh” [Environ. Sustain. Indicat. 28 (2025) 101014]","authors":"S.M. Asik Ullah , Saifur Rahman , Rojina Akter , Khondokar Humayun Kabir","doi":"10.1016/j.indic.2025.101114","DOIUrl":"10.1016/j.indic.2025.101114","url":null,"abstract":"","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"29 ","pages":"Article 101114"},"PeriodicalIF":5.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.indic.2026.101153
Chao Chen , Shuo Lv , Ni Kong , Miao Li , Ziyao Jin , Xinping Yan , Aoxiang Zhu , Xiaoyan Yang , Jian Gao
Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most economically significant river in China, the Yangtze River exhibits several unique geographical attributes, and as such, research on the spatiotemporal evolution and precise spatial delineation of its shoreline is important. Taking into account the complexity of the geographical environment, the study proposed a multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series data. Longitudinal variations, spatial displacement, and interbank disparities between the northern and southern shores of the Yangtze River, China have been quantitatively assessed, supported by a shoreline change rate model was developed using the Digital Shoreline Analysis System. The results demonstrated a high level of accuracy in shoreline spatial positioning, with clearly demarcated land–water boundaries. From 1990 to 2020, the total shoreline length exhibited a net increase from 12,645.02 km to 13,637.42 km. Both the northern and southern shores displayed synchronous elongation trends, peaking in 2010 before subsequent retreat. Linear regression rate and end point rate analyses revealed overall stability in these migration trends but pronounced interbank heterogeneity. The southern shore exhibited significantly greater linear regression and end point rate variability than the northern shore (P < 0.05), indicative of the stronger synergistic impacts from anthropogenic and natural drivers in that area. This study establishes a framework for high-resolution dynamic monitoring of shorelines along large river systems and elucidates the spatial differentiation mechanisms governing the fluvial evolution of shorelines. The findings provide empirical support for optimizing shoreline resource allocation, delineating environmental conservation boundaries, and implementing the “Yangtze River Conservation Strategy,” thereby advancing the capacity of regional sustainable development and spatial governance.
{"title":"A multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series","authors":"Chao Chen , Shuo Lv , Ni Kong , Miao Li , Ziyao Jin , Xinping Yan , Aoxiang Zhu , Xiaoyan Yang , Jian Gao","doi":"10.1016/j.indic.2026.101153","DOIUrl":"10.1016/j.indic.2026.101153","url":null,"abstract":"<div><div>Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most economically significant river in China, the Yangtze River exhibits several unique geographical attributes, and as such, research on the spatiotemporal evolution and precise spatial delineation of its shoreline is important. Taking into account the complexity of the geographical environment, the study proposed a multi-stage strategy and geoscience knowledge-based method for shoreline extraction from Landsat time-series data. Longitudinal variations, spatial displacement, and interbank disparities between the northern and southern shores of the Yangtze River, China have been quantitatively assessed, supported by a shoreline change rate model was developed using the Digital Shoreline Analysis System. The results demonstrated a high level of accuracy in shoreline spatial positioning, with clearly demarcated land–water boundaries. From 1990 to 2020, the total shoreline length exhibited a net increase from 12,645.02 km to 13,637.42 km. Both the northern and southern shores displayed synchronous elongation trends, peaking in 2010 before subsequent retreat. Linear regression rate and end point rate analyses revealed overall stability in these migration trends but pronounced interbank heterogeneity. The southern shore exhibited significantly greater linear regression and end point rate variability than the northern shore (<em>P</em> < 0.05), indicative of the stronger synergistic impacts from anthropogenic and natural drivers in that area. This study establishes a framework for high-resolution dynamic monitoring of shorelines along large river systems and elucidates the spatial differentiation mechanisms governing the fluvial evolution of shorelines. The findings provide empirical support for optimizing shoreline resource allocation, delineating environmental conservation boundaries, and implementing the “Yangtze River Conservation Strategy,” thereby advancing the capacity of regional sustainable development and spatial governance.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101153"},"PeriodicalIF":5.6,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.indic.2026.101140
Tamara Avellán , Hanna Dencker , Jonas Nordström , Nóra Hatvani , Balázs Sándor Gál , Wieslaw Fialkiewicz
Agricultural production necessitates sustainable practices to ensure long-term and sustained food security. Water is a key ingredient for food production. Ensuring sustainable water management in agriculture is thus essential for global wellbeing. But how do we make sure that our practices are sustainable? A large variety of sustainability assessments abound. Their results may even show conflicting results. In this study, we demonstrate the application of three sustainability assessment methods – Water Footprint Assessment, Cost-Benefit Analysis and Life Cycle Assessment – for the use of a water retainer product on different soil types, crops and growing seasons in a farm in Poland. In addition, we aggregate the results of these assessments through a Multi-Criteria Decision Analysis (PROMETHEE) to facilitate decision making. Our findings suggest that yields of all crops, on all soils in both growing seasons increased. However, yield gain was insufficient in most cases to offset the increased costs of using the water retainer product. The Multi-Criteria Decision Analysis showed that soil type and crops used had a larger effect on rank than the application of the water retainer. Overall, the conclusion from the various methods is to not recommend the use of the water retainer as an efficient water saving technology for the specific case. Our analysis showed the effects on the economic and environmental dimension of sustainability but does not include the social dimension due to the lack of data, leaving an incomplete picture of sustainability.
{"title":"Integrating sustainability assessments to facilitate decision making in sustainable water management in agriculture","authors":"Tamara Avellán , Hanna Dencker , Jonas Nordström , Nóra Hatvani , Balázs Sándor Gál , Wieslaw Fialkiewicz","doi":"10.1016/j.indic.2026.101140","DOIUrl":"10.1016/j.indic.2026.101140","url":null,"abstract":"<div><div>Agricultural production necessitates sustainable practices to ensure long-term and sustained food security. Water is a key ingredient for food production. Ensuring sustainable water management in agriculture is thus essential for global wellbeing. But how do we make sure that our practices are sustainable? A large variety of sustainability assessments abound. Their results may even show conflicting results. In this study, we demonstrate the application of three sustainability assessment methods – Water Footprint Assessment, Cost-Benefit Analysis and Life Cycle Assessment – for the use of a water retainer product on different soil types, crops and growing seasons in a farm in Poland. In addition, we aggregate the results of these assessments through a Multi-Criteria Decision Analysis (PROMETHEE) to facilitate decision making. Our findings suggest that yields of all crops, on all soils in both growing seasons increased. However, yield gain was insufficient in most cases to offset the increased costs of using the water retainer product. The Multi-Criteria Decision Analysis showed that soil type and crops used had a larger effect on rank than the application of the water retainer. Overall, the conclusion from the various methods is to not recommend the use of the water retainer as an efficient water saving technology for the specific case. Our analysis showed the effects on the economic and environmental dimension of sustainability but does not include the social dimension due to the lack of data, leaving an incomplete picture of sustainability.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101140"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.indic.2026.101147
Wenjie Chen , Yisong Yang , Zhu Xiao , Siqi Li
The integration of carbon mitigation objectives with urban resilience building, to develop synergistic pathways that combine climate change Adaptability and mitigation, has emerged as a critical focus in global sustainable development discourse. Employing the entropy weight method, this study measures the Urban Low-carbon Resilience (LCR) of 203 prefecture-level cities in China from 2011 to 2023. It then systematically examines the spatial-temporal evolution and influencing factors of LCR and three subsystems both nationally and across seven geographical regions, utilizing kernel density estimation, exploratory spatial data analysis, and spatial Durbin models. The main findings are as follows: (1) The regional evolution of LCR in China shows a trend of differentiation; East China and North China are in the lead, while Northeast China and South China are lagging. For Defensive Resistance, the eastern coastal areas are dominant, and the spatial structure is "scattered". For Recovery Adaptability, the polarization of central cities in each region is prominent. For Transformative Regeneration, a diffusion effect from west to east is formed. (2) The agglomeration of LCR in China also shows a trend of differentiation. The gap in the level of LCR between the western region and the eastern and central regions is getting bigger and bigger. (3) Labor quality and Capital structure are the main factors affecting the LCR and Defensive Resistance in China's seven major geographical regions. Grounded in these findings, the study concludes by proposing region-specific policy strategies for enhancing LCR, offering targeted insights to supplement and refine current urban climate governance frameworks.
{"title":"Spatial-temporal patterns and influencing factors of Urban Low-carbon Resilience from a Comprehensive Green Transformation Perspective in different regions of China","authors":"Wenjie Chen , Yisong Yang , Zhu Xiao , Siqi Li","doi":"10.1016/j.indic.2026.101147","DOIUrl":"10.1016/j.indic.2026.101147","url":null,"abstract":"<div><div>The integration of carbon mitigation objectives with urban resilience building, to develop synergistic pathways that combine climate change Adaptability and mitigation, has emerged as a critical focus in global sustainable development discourse. Employing the entropy weight method, this study measures the Urban Low-carbon Resilience (LCR) of 203 prefecture-level cities in China from 2011 to 2023. It then systematically examines the spatial-temporal evolution and influencing factors of LCR and three subsystems both nationally and across seven geographical regions, utilizing kernel density estimation, exploratory spatial data analysis, and spatial Durbin models. The main findings are as follows: (1) The regional evolution of LCR in China shows a trend of differentiation; East China and North China are in the lead, while Northeast China and South China are lagging. For Defensive Resistance, the eastern coastal areas are dominant, and the spatial structure is \"scattered\". For Recovery Adaptability, the polarization of central cities in each region is prominent. For Transformative Regeneration, a diffusion effect from west to east is formed. (2) The agglomeration of LCR in China also shows a trend of differentiation. The gap in the level of LCR between the western region and the eastern and central regions is getting bigger and bigger. (3) Labor quality and Capital structure are the main factors affecting the LCR and Defensive Resistance in China's seven major geographical regions. Grounded in these findings, the study concludes by proposing region-specific policy strategies for enhancing LCR, offering targeted insights to supplement and refine current urban climate governance frameworks.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101147"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.indic.2026.101148
Zhao Jinyu , Sa Na , Kou Xuyang , Cao Yuexuan , Lu Zhaohua , Sang Weiguo
Enhancing subjective well-being (SWB) is central to sustainable development, yet the psychological mechanisms linking ecological worldviews to SWB in conservation contexts remain underexplored. This study investigates how the New Ecological Paradigm (NEP)—a measure of biocentric worldview—shapes residents’ perceptions of ecosystem services (ES) and influences SWB in Dailing Town, a community adjacent to Liangshui National Nature Reserve in China. Using a mixed-methods approach combining Structural Equation Modeling (SEM) and Canonical Correspondence Analysis (CCA) with survey data from 169 residents, we find that: (1) SWB is highest in the health dimension but lowest in social relations, with specific deficits in transportation, water quality, and employment conditions; (2) NEP is the strongest predictor of SWB, exerting both direct effects and indirect effects mediated by enhanced ES perceptions; (3) ES preferences are segmented by socioeconomic and demographic factors: older, land-dependent residents prioritize cultural services (e.g., recreation, aesthetics), whereas younger, non-land-based residents value tangible provisioning and regulating services. These findings underscore the critical role of ecological worldviews in shaping well-being and highlight the need for targeted policies that integrate ecological education, social infrastructure, and differentiated livelihood strategies to foster synergistic human-nature outcomes in protected area communities.
{"title":"The power of a biocentric view: Ecological worldviews as a key driver of subjective well-being for residents near nature reserves","authors":"Zhao Jinyu , Sa Na , Kou Xuyang , Cao Yuexuan , Lu Zhaohua , Sang Weiguo","doi":"10.1016/j.indic.2026.101148","DOIUrl":"10.1016/j.indic.2026.101148","url":null,"abstract":"<div><div>Enhancing subjective well-being (SWB) is central to sustainable development, yet the psychological mechanisms linking ecological worldviews to SWB in conservation contexts remain underexplored. This study investigates how the New Ecological Paradigm (NEP)—a measure of biocentric worldview—shapes residents’ perceptions of ecosystem services (ES) and influences SWB in Dailing Town, a community adjacent to Liangshui National Nature Reserve in China. Using a mixed-methods approach combining Structural Equation Modeling (SEM) and Canonical Correspondence Analysis (CCA) with survey data from 169 residents, we find that: (1) SWB is highest in the health dimension but lowest in social relations, with specific deficits in transportation, water quality, and employment conditions; (2) NEP is the strongest predictor of SWB, exerting both direct effects and indirect effects mediated by enhanced ES perceptions; (3) ES preferences are segmented by socioeconomic and demographic factors: older, land-dependent residents prioritize cultural services (e.g., recreation, aesthetics), whereas younger, non-land-based residents value tangible provisioning and regulating services. These findings underscore the critical role of ecological worldviews in shaping well-being and highlight the need for targeted policies that integrate ecological education, social infrastructure, and differentiated livelihood strategies to foster synergistic human-nature outcomes in protected area communities.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101148"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-26DOI: 10.1016/j.indic.2026.101144
Guðmundur Kristján Óskarsson , Sveinn Agnarsson , Brynhildur Davíðsdóttir
This study examines the early effects of Iceland's 2023 extended producer responsibility (EPR) reform for packaging waste, one of the first nationwide implementations of a fully harmonised, producer-funded system in a small and geographically dispersed country. Using municipal-level data for 2023–2024, the analysis evaluates how socioeconomic, demographic, and infrastructural factors influence per capita collection of packaging paper and plastics. Grey Relational Analysis (GRA) is applied to identify the most influential determinants under limited data conditions, and pooled ordinary least squares (OLS) regression is used to estimate their statistical associations while controlling for region and year.
Results
show that paper recovery increased markedly in 2024, reflecting rapid adaptation to standardised collection, whereas plastic recovery remained largely unchanged. In this early two-year sample, municipal variation appears to be shaped primarily by structural and service-design factors rather than socioeconomic characteristics. A higher ratio of seasonal housing is associated with greater apparent per capita recovery, and a higher share of home collection is linked to lower recovery for both materials. The negative relationship between per capita costs and plastic recovery suggests diminishing returns to expenditure or reflects structural remoteness constraints that raise costs without increasing capture.
The findings highlight the importance of tailoring EPR implementation to the local context. Adjusting performance metrics for seasonal occupancy, optimising the curbside/drop-off collection mix, and refining fee distributions for structurally high-cost municipalities can improve equity and efficiency. Overall, EPR provides the financial and regulatory scaffold, but geography and system design ultimately determine realised recycling outcomes.
{"title":"Early determinants of packaging waste recovery under Iceland's 2023 EPR reform: Evidence from Grey Relational and econometric analysis","authors":"Guðmundur Kristján Óskarsson , Sveinn Agnarsson , Brynhildur Davíðsdóttir","doi":"10.1016/j.indic.2026.101144","DOIUrl":"10.1016/j.indic.2026.101144","url":null,"abstract":"<div><div>This study examines the early effects of Iceland's 2023 extended producer responsibility (EPR) reform for packaging waste, one of the first nationwide implementations of a fully harmonised, producer-funded system in a small and geographically dispersed country. Using municipal-level data for 2023–2024, the analysis evaluates how socioeconomic, demographic, and infrastructural factors influence per capita collection of packaging paper and plastics. Grey Relational Analysis (GRA) is applied to identify the most influential determinants under limited data conditions, and pooled ordinary least squares (OLS) regression is used to estimate their statistical associations while controlling for region and year.</div></div><div><h3>Results</h3><div>show that paper recovery increased markedly in 2024, reflecting rapid adaptation to standardised collection, whereas plastic recovery remained largely unchanged. In this early two-year sample, municipal variation appears to be shaped primarily by structural and service-design factors rather than socioeconomic characteristics. A higher ratio of seasonal housing is associated with greater apparent per capita recovery, and a higher share of home collection is linked to lower recovery for both materials. The negative relationship between per capita costs and plastic recovery suggests diminishing returns to expenditure or reflects structural remoteness constraints that raise costs without increasing capture.</div><div>The findings highlight the importance of tailoring EPR implementation to the local context. Adjusting performance metrics for seasonal occupancy, optimising the curbside/drop-off collection mix, and refining fee distributions for structurally high-cost municipalities can improve equity and efficiency. Overall, EPR provides the financial and regulatory scaffold, but geography and system design ultimately determine realised recycling outcomes.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101144"},"PeriodicalIF":5.6,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-26DOI: 10.1016/j.indic.2026.101145
Dinh Thi Kim Chung , Vu Ngoc Xuan , Pham Xuan Hoa
Achieving sustained economic growth while reducing carbon emissions remains a central challenge for China's sustainability transition. Despite the rapid expansion of renewable energy capacity and innovation activity, carbon emissions continue to rise, suggesting that the environmental effects of technological progress and energy restructuring may be nonlinear and asymmetric. Understanding whether positive and negative changes in innovation and renewable energy exert different impacts on emissions is therefore fundamental for effective climate and development policies. This study examines the asymmetric relationships between innovation, renewable energy consumption, economic growth, trade openness, and CO2 emissions in China from 1990 to 2023. The analysis employs a Nonlinear Autoregressive Distributed Lag (NARDL) model as the base framework, allowing positive and negative shocks in innovation and renewable energy to affect emissions differently in the short and long run. Long-run cointegration is examined using the NARDL bounds testing approach, while dynamic multiplier functions trace adjustment paths following asymmetric shocks. Robustness is assessed through alternative lag specifications, a linear ARDL benchmark model, and extensive diagnostic and stability tests, including CUSUM and CUSUMSQ. The results reveal asymmetries. Positive shocks to innovation and renewable energy reduce CO2 emissions, while negative shocks increase emissions. Economic growth continues to raise emissions. Trade openness raises emissions in the short run. Policies should stabilize R&D, prioritize grid integration and storage, and strengthen links with the emissions trading system.
{"title":"Asymmetric roles of innovation and renewable energy in shaping carbon emissions in China","authors":"Dinh Thi Kim Chung , Vu Ngoc Xuan , Pham Xuan Hoa","doi":"10.1016/j.indic.2026.101145","DOIUrl":"10.1016/j.indic.2026.101145","url":null,"abstract":"<div><div>Achieving sustained economic growth while reducing carbon emissions remains a central challenge for China's sustainability transition. Despite the rapid expansion of renewable energy capacity and innovation activity, carbon emissions continue to rise, suggesting that the environmental effects of technological progress and energy restructuring may be nonlinear and asymmetric. Understanding whether positive and negative changes in innovation and renewable energy exert different impacts on emissions is therefore fundamental for effective climate and development policies. This study examines the asymmetric relationships between innovation, renewable energy consumption, economic growth, trade openness, and CO<sub>2</sub> emissions in China from 1990 to 2023. The analysis employs a Nonlinear Autoregressive Distributed Lag (NARDL) model as the base framework, allowing positive and negative shocks in innovation and renewable energy to affect emissions differently in the short and long run. Long-run cointegration is examined using the NARDL bounds testing approach, while dynamic multiplier functions trace adjustment paths following asymmetric shocks. Robustness is assessed through alternative lag specifications, a linear ARDL benchmark model, and extensive diagnostic and stability tests, including CUSUM and CUSUMSQ. The results reveal asymmetries. Positive shocks to innovation and renewable energy reduce CO<sub>2</sub> emissions, while negative shocks increase emissions. Economic growth continues to raise emissions. Trade openness raises emissions in the short run. Policies should stabilize R&D, prioritize grid integration and storage, and strengthen links with the emissions trading system.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101145"},"PeriodicalIF":5.6,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-26DOI: 10.1016/j.indic.2026.101143
Xinyue Zhang , Lingyi Cao , Fan Yang , Guangyu Wang , Huikeng Lai , Rongxiao He
Coastal urban ecosystems are becoming increasingly vulnerable to climate-induced disturbance and damage due to the escalating frequency and intensity of typhoons. This study employed an integrated approach of remote sensing analysis and ground-based surveys to systematically assess the damage patterns and spatial heterogeneity of urban vegetation in the Jiangdong New District (Haikou, China) following super typhoon events. The results indicate that tree community diversity, measured by the Shannon index, was significantly and positively correlated with vegetation damage severity (p < 0.001, r = 0.496). Green space patch characteristics were positively associated with the extent of storm damage. In contrast, building height and landscape aggregation index showed negative correlations with damage severity. Approximately 56.4 % of the vegetated areas exhibited a declining trend in the normalized difference vegetation index (NDVI). Human activity intensity and the magnitude of vegetation decrease were significantly positively correlated in northeastern wetlands and negatively correlated in the southeastern tree nurseries. Relying solely on wind-resistant tree species is insufficient to develop a resilient ecosystem. Instead, heterogeneity in community structure and urban spatial layout are critical in increasing tree resistance to wind disturbances. These findings emphasize the need to consider landscape characteristics and human activity patterns along urban environmental when developing adaptation strategies for coastal cities to improve the resilience of urban green infrastructure to extreme climate events.
由于台风的频率和强度不断上升,沿海城市生态系统越来越容易受到气候引起的干扰和破坏。采用遥感分析与地面调查相结合的方法,系统评价了海口市江东新区超强台风过后城市植被的破坏格局和空间异质性。结果表明,以Shannon指数衡量的树木群落多样性与植被破坏程度呈显著正相关(p < 0.001, r = 0.496)。绿地斑块特征与风暴破坏程度呈正相关。建筑高度和景观聚集指数与破坏程度呈负相关。归一化植被指数(NDVI)呈下降趋势的植被面积约占56.4%。人类活动强度与植被减少幅度在东北湿地呈显著正相关,在东南部乔木苗圃呈显著负相关。仅仅依靠抗风树种不足以发展一个有弹性的生态系统。相反,群落结构和城市空间布局的异质性对于增强树木对风干扰的抵抗力至关重要。这些发现强调,在制定沿海城市适应战略时,需要考虑景观特征和城市环境中的人类活动模式,以提高城市绿色基础设施对极端气候事件的抵御能力。
{"title":"Spatial differences in vegetation damage under typhoon hazards: A case study of a coastal urban district","authors":"Xinyue Zhang , Lingyi Cao , Fan Yang , Guangyu Wang , Huikeng Lai , Rongxiao He","doi":"10.1016/j.indic.2026.101143","DOIUrl":"10.1016/j.indic.2026.101143","url":null,"abstract":"<div><div>Coastal urban ecosystems are becoming increasingly vulnerable to climate-induced disturbance and damage due to the escalating frequency and intensity of typhoons. This study employed an integrated approach of remote sensing analysis and ground-based surveys to systematically assess the damage patterns and spatial heterogeneity of urban vegetation in the Jiangdong New District (Haikou, China) following super typhoon events. The results indicate that tree community diversity, measured by the Shannon index, was significantly and positively correlated with vegetation damage severity (p < 0.001, r = 0.496). Green space patch characteristics were positively associated with the extent of storm damage. In contrast, building height and landscape aggregation index showed negative correlations with damage severity. Approximately 56.4 % of the vegetated areas exhibited a declining trend in the normalized difference vegetation index (NDVI). Human activity intensity and the magnitude of vegetation decrease were significantly positively correlated in northeastern wetlands and negatively correlated in the southeastern tree nurseries. Relying solely on wind-resistant tree species is insufficient to develop a resilient ecosystem. Instead, heterogeneity in community structure and urban spatial layout are critical in increasing tree resistance to wind disturbances. These findings emphasize the need to consider landscape characteristics and human activity patterns along urban environmental when developing adaptation strategies for coastal cities to improve the resilience of urban green infrastructure to extreme climate events.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101143"},"PeriodicalIF":5.6,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-23DOI: 10.1016/j.indic.2026.101135
Mohammed Mashary Alnaim
This study explores the potential of cultural tourism as a strategic driver for sustainable urban development in Hail City, Saudi Arabia, emphasizing its alignment with the objectives of Saudi Vision (2030). Situated at the intersection of heritage preservation, community participation, and environmental sustainability, the research investigates how Hail's rich cultural assets, ranging from the UNESCO-listed Jubbah Rock Art to its traditional urban fabric and crafts, can be transformed into engines of socio-economic growth. A qualitative-dominant mixed-methods approach was adopted, integrating document analysis, stakeholder interviews, field surveys, and comparative case studies from Fez, Kyoto, and Bath. Findings indicate that despite possessing significant cultural value, Hail's tourism potential remains underdeveloped due to infrastructural limitations and institutional fragmentation. Nevertheless, strong local identity, community enthusiasm, and ecological endowments provide a promising basis for sustainable transformation. The study proposes a comprehensive cultural tourism strategy structured around three interrelated pillars: infrastructure improvement, heritage preservation and programming, and community empowerment with environmental integration. The research contributes to global discourse on heritage-led urbanism by demonstrating how mid-sized cities in developing contexts can achieve balanced modernization, enhance quality of life, and preserve cultural authenticity through a locally adapted sustainability model.
{"title":"Cultural tourism as a driver for sustainable urban development in Hail City, Saudi Arabia","authors":"Mohammed Mashary Alnaim","doi":"10.1016/j.indic.2026.101135","DOIUrl":"10.1016/j.indic.2026.101135","url":null,"abstract":"<div><div>This study explores the potential of cultural tourism as a strategic driver for sustainable urban development in Hail City, Saudi Arabia, emphasizing its alignment with the objectives of Saudi Vision (2030). Situated at the intersection of heritage preservation, community participation, and environmental sustainability, the research investigates how Hail's rich cultural assets, ranging from the UNESCO-listed Jubbah Rock Art to its traditional urban fabric and crafts, can be transformed into engines of socio-economic growth. A qualitative-dominant mixed-methods approach was adopted, integrating document analysis, stakeholder interviews, field surveys, and comparative case studies from Fez, Kyoto, and Bath. Findings indicate that despite possessing significant cultural value, Hail's tourism potential remains underdeveloped due to infrastructural limitations and institutional fragmentation. Nevertheless, strong local identity, community enthusiasm, and ecological endowments provide a promising basis for sustainable transformation. The study proposes a comprehensive cultural tourism strategy structured around three interrelated pillars: infrastructure improvement, heritage preservation and programming, and community empowerment with environmental integration. The research contributes to global discourse on heritage-led urbanism by demonstrating how mid-sized cities in developing contexts can achieve balanced modernization, enhance quality of life, and preserve cultural authenticity through a locally adapted sustainability model.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"30 ","pages":"Article 101135"},"PeriodicalIF":5.6,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}