Pub Date : 2025-02-01DOI: 10.1016/j.indic.2025.100587
Rachele Bordoni , Chiara Paoli , Monica Montefalcone , Alice Oprandi , Ilaria Rigo , Francesca Ruggeri , Paolo Vassallo
Posidonia oceanica (L.) Delile is a keystone seagrass species, playing a central role in the ecological balance of Mediterranean coastal areas but threatened by increasing human pressures. Proper management and conservation of coastal marine habitats require the understanding of its distribution. To address this need, we developed habitat suitability models (HSMs), built up using the Random Forest algorithm in R software, that assess the suitability of the environment for the presence of P. oceanica in the Ligurian Sea (NW Italy).
Model response variables included potential seabed areas characterized by P. oceanica habitats on soft and rocky bottoms, down to 50 m depth. Explanatory variables included natural factors as well as variables related to human activities along the coastal strip.
The HSMs showed high accuracy rates of 82% for P. oceanica on soft bottom and 99% for P. oceanica on rocky bottom. The models predict an increase in P. oceanica meadows on soft bottom, from 2448 ha to 11623 ha, and a modest increase on rocky bottom, from 159 ha to 200 ha. The west coast of Liguria was found to have a greater extent of seagrass meadows compared to the east coast.
This study provides valuable guidance for the sustainable management of P. oceanica meadows and offers practical tools for scientific research, land managers, stakeholders, and policy makers. These findings are essential for the conservation of a vital marine ecosystem and for promoting prudent and effective land management, ultimately securing the legacy of P. oceanica in northwestern Italy.
{"title":"Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy)","authors":"Rachele Bordoni , Chiara Paoli , Monica Montefalcone , Alice Oprandi , Ilaria Rigo , Francesca Ruggeri , Paolo Vassallo","doi":"10.1016/j.indic.2025.100587","DOIUrl":"10.1016/j.indic.2025.100587","url":null,"abstract":"<div><div><em>Posidonia oceanica</em> (L.) Delile is a keystone seagrass species, playing a central role in the ecological balance of Mediterranean coastal areas but threatened by increasing human pressures. Proper management and conservation of coastal marine habitats require the understanding of its distribution. To address this need, we developed habitat suitability models (HSMs), built up using the Random Forest algorithm in R software, that assess the suitability of the environment for the presence of <em>P. oceanica</em> in the Ligurian Sea (NW Italy).</div><div>Model response variables included potential seabed areas characterized by <em>P. oceanica</em> habitats on soft and rocky bottoms, down to 50 m depth. Explanatory variables included natural factors as well as variables related to human activities along the coastal strip.</div><div>The HSMs showed high accuracy rates of 82% for <em>P. oceanica</em> on soft bottom and 99% for <em>P. oceanica</em> on rocky bottom. The models predict an increase in <em>P. oceanica</em> meadows on soft bottom, from 2448 ha to 11623 ha, and a modest increase on rocky bottom, from 159 ha to 200 ha. The west coast of Liguria was found to have a greater extent of seagrass meadows compared to the east coast.</div><div>This study provides valuable guidance for the sustainable management of <em>P. oceanica</em> meadows and offers practical tools for scientific research, land managers, stakeholders, and policy makers. These findings are essential for the conservation of a vital marine ecosystem and for promoting prudent and effective land management, ultimately securing the legacy of <em>P. oceanica</em> in northwestern Italy.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100587"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180324","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2025.100589
Xiaoyu Duan , Qingxu Huang , Ziwen Liu , Ling Zhang , Penghui Li , Chunyang He , Delin Fang , Zhenci Xu , Yihao Li
In the wave of globalization, trade has had profound and unique impacts on resource allocation and the Sustainable Development Goals (SDGs) among different regions. However, we still have a limited understanding of the impacts of interprovincial trade on environment-related SDGs, especially compared with the counterfactual no-trade scenario. Therefore, via an environmentally extended multiregional input‒output model and scenario analysis, we explored the impacts of interprovincial trade on the achievement of nine environmental-related SDG targets across 31 provinces in China. The results revealed that interprovincial trade has improved environmental sustainability across the country, with the total score of the nine SDGs increasing by 4.3%. Specifically, trade positively contributed to the achievement of SDG6.4 (sustainable water use) and SDG9.4 (clean industrialization) in eight sectors and slightly inhibited the achievement of SDG7.3 (primary energy efficiency). In addition, interprovincial trade has exerted greater environmental pressure on developing provinces (e.g., Nei Mongol, Jilin and Heilongjiang) with better natural resource endowments than developed provinces (e.g., Beijing, Tianjin, Shanghai). Importantly, we found that the impacts on the total SDG score was significantly associated with GDP per capita (R = 0.65, p < 0.01). Therefore, regions and sectors that are vulnerable to negative impacts need increasing technical and policy support.
{"title":"The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China","authors":"Xiaoyu Duan , Qingxu Huang , Ziwen Liu , Ling Zhang , Penghui Li , Chunyang He , Delin Fang , Zhenci Xu , Yihao Li","doi":"10.1016/j.indic.2025.100589","DOIUrl":"10.1016/j.indic.2025.100589","url":null,"abstract":"<div><div>In the wave of globalization, trade has had profound and unique impacts on resource allocation and the Sustainable Development Goals (SDGs) among different regions. However, we still have a limited understanding of the impacts of interprovincial trade on environment-related SDGs, especially compared with the counterfactual no-trade scenario. Therefore, via an environmentally extended multiregional input‒output model and scenario analysis, we explored the impacts of interprovincial trade on the achievement of nine environmental-related SDG targets across 31 provinces in China. The results revealed that interprovincial trade has improved environmental sustainability across the country, with the total score of the nine SDGs increasing by 4.3%. Specifically, trade positively contributed to the achievement of SDG6.4 (sustainable water use) and SDG9.4 (clean industrialization) in eight sectors and slightly inhibited the achievement of SDG7.3 (primary energy efficiency). In addition, interprovincial trade has exerted greater environmental pressure on developing provinces (e.g., Nei Mongol, Jilin and Heilongjiang) with better natural resource endowments than developed provinces (e.g., Beijing, Tianjin, Shanghai). Importantly, we found that the impacts on the total SDG score was significantly associated with GDP per capita (R = 0.65, <em>p</em> < 0.01). Therefore, regions and sectors that are vulnerable to negative impacts need increasing technical and policy support.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100589"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180327","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2024.100572
K.M. Aarif , Aymen Nefla , K.A. Rubeena , Yanjie Xu , Zakher Bouragaoui , M. Nasser , C.T. Shifa , T.R. Athira , K. Jishnu , Jasmine Anand , Seerangan Manokaran , P.P. Moosa , Anu Gopinath , Omer R. Reshi , K.M. Rajaneesh , H. Byju , Thadickal V. Joydas , Karuppasamy P. Manikandan , Mohd Irfan Naikoo , Christian Sonne , Sabir Bin Muzaffar
Large waders including herons and egrets are important ecological wetland health indicators since these species are sensitive to a complex set of environmental factors. Anthropogenic factors are driving major changes in coastal and inland wetlands. We investigated the relationship between environmental variables, productivity, fish diversity and large waders in southwestern India. These variables cover climatic variables (rainfall), sediment variables (salinity, pH, organic carbon, nitrogen, phosphorus), water variables (Salinity, pH, temperature, nitrate, phosphate), primary productivity (Chlorophyll-a) and prey availability (mean fish stock availability). Densities of all the studied wader species decreased significantly from 2010 to 2019, with highest densities in agroecosystems or estuarine habitats and in post-monsoon seasons but lowest in mudflats and in monsoon seasons. Structural equational modelling revealed that rainfall and organic carbon positively affected the primary productivity, whereas water variables (nitrate, salinity and phosphate) positively affected the fish stock availability. This in turn positively affected the density of large wading birds. The decreasing trend of water nitrate negatively affected the primary productivity and density of waterbirds while rainfall negatively affected fish stock availability and waterbird density. Sediment phosphorous adversely affected both the biotic variables and the density of waterbirds. Sediment variables (salinity, pH, and phosphorus) increased over years, whereas organic carbon and nitrogen in the sediment decreased significantly. Salinity, water temperature, pH, and phosphate showed a significant increase while water nitrate, and chlorophyll-a decreased over the period of study. Significant decline in fish stock availability and altered environmental variables resulted in long term decline in the abundance of wading birds. Thus, large waders have adapted to these long-term, anthropogenically driven, environmental changes by shifting to agroecosystems and estuaries as their alternate foraging habitats. These population declines indicate consistent decline in ecosystem health of wetlands. Strategies need to be formulated to mitigate declines and restore ecosystem health.
{"title":"Assessing environmental change and population declines of large wading birds in southwestern India","authors":"K.M. Aarif , Aymen Nefla , K.A. Rubeena , Yanjie Xu , Zakher Bouragaoui , M. Nasser , C.T. Shifa , T.R. Athira , K. Jishnu , Jasmine Anand , Seerangan Manokaran , P.P. Moosa , Anu Gopinath , Omer R. Reshi , K.M. Rajaneesh , H. Byju , Thadickal V. Joydas , Karuppasamy P. Manikandan , Mohd Irfan Naikoo , Christian Sonne , Sabir Bin Muzaffar","doi":"10.1016/j.indic.2024.100572","DOIUrl":"10.1016/j.indic.2024.100572","url":null,"abstract":"<div><div>Large waders including herons and egrets are important ecological wetland health indicators since these species are sensitive to a complex set of environmental factors. Anthropogenic factors are driving major changes in coastal and inland wetlands. We investigated the relationship between environmental variables, productivity, fish diversity and large waders in southwestern India. These variables cover climatic variables (rainfall), sediment variables (salinity, pH, organic carbon, nitrogen, phosphorus), water variables (Salinity, pH, temperature, nitrate, phosphate), primary productivity (Chlorophyll-a) and prey availability (mean fish stock availability). Densities of all the studied wader species decreased significantly from 2010 to 2019, with highest densities in agroecosystems or estuarine habitats and in post-monsoon seasons but lowest in mudflats and in monsoon seasons. Structural equational modelling revealed that rainfall and organic carbon positively affected the primary productivity, whereas water variables (nitrate, salinity and phosphate) positively affected the fish stock availability. This in turn positively affected the density of large wading birds. The decreasing trend of water nitrate negatively affected the primary productivity and density of waterbirds while rainfall negatively affected fish stock availability and waterbird density. Sediment phosphorous adversely affected both the biotic variables and the density of waterbirds. Sediment variables (salinity, pH, and phosphorus) increased over years, whereas organic carbon and nitrogen in the sediment decreased significantly. Salinity, water temperature, pH, and phosphate showed a significant increase while water nitrate, and chlorophyll-a decreased over the period of study. Significant decline in fish stock availability and altered environmental variables resulted in long term decline in the abundance of wading birds. Thus, large waders have adapted to these long-term, anthropogenically driven, environmental changes by shifting to agroecosystems and estuaries as their alternate foraging habitats. These population declines indicate consistent decline in ecosystem health of wetlands. Strategies need to be formulated to mitigate declines and restore ecosystem health.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100572"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180321","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}
Climate Resilient Agriculture (CRA) effectively responds to climate change while contributing to sustainable productivity adapted to local hydro-meteorological conditions. CRA provides resilience to climate variability by enhancing agricultural viability through water exchange between surface and groundwater systems. In water-stressed countries such as India, where demand for water from agriculture, industry, and domestic use is increasing, CRA offers ways to address current and future food security challenges. This review examines the role of the CRA in agricultural sustainability and community participation in India. It assesses critical CRA projects and policies in India and explores how CRA can improve water policy by integrating farmers' perspectives in groundwater-based agriculture. The study also shows that collaboration between government agencies, NGOs, and local groups is important to sustaining CRA initiatives. Discussions indicated that empirical studies, clear sustainability indicators, and integration of advanced technology such as artificial intelligence and geo-spatial tools are needed to improve India's adaptation strategies to climate change. This study highlighted how CRA aligns with key SDGs by addressing poverty, hunger, climate action, and community wellbeing. GRACE data indicated that northwestern India emerged as a critical water scarcity hotspot, displaying negative trends of around −7.413 cm per year. Furthermore, the analysis clearly showed that the Western Dry Region, Western Himalayan, and Gangetic Plain agro-ecological zone (AEZ) experienced the sharpest declines in equivalent water thickness (EWT) compared to other AEZ regions in India. The review also highlighted the value of knowledge-sharing platforms and tailored CRA strategies that increase agricultural productivity and enable farmers to make informed decisions in the face of climate uncertainty.
{"title":"Review of climate-resilient agriculture for ensuring food security: Sustainability opportunities and challenges of India","authors":"Satiprasad Sahoo , Chiranjit Singha , Ajit Govind , Armin Moghimi","doi":"10.1016/j.indic.2024.100544","DOIUrl":"10.1016/j.indic.2024.100544","url":null,"abstract":"<div><div>Climate Resilient Agriculture (CRA) effectively responds to climate change while contributing to sustainable productivity adapted to local hydro-meteorological conditions. CRA provides resilience to climate variability by enhancing agricultural viability through water exchange between surface and groundwater systems. In water-stressed countries such as India, where demand for water from agriculture, industry, and domestic use is increasing, CRA offers ways to address current and future food security challenges. This review examines the role of the CRA in agricultural sustainability and community participation in India. It assesses critical CRA projects and policies in India and explores how CRA can improve water policy by integrating farmers' perspectives in groundwater-based agriculture. The study also shows that collaboration between government agencies, NGOs, and local groups is important to sustaining CRA initiatives. Discussions indicated that empirical studies, clear sustainability indicators, and integration of advanced technology such as artificial intelligence and geo-spatial tools are needed to improve India's adaptation strategies to climate change. This study highlighted how CRA aligns with key SDGs by addressing poverty, hunger, climate action, and community wellbeing. GRACE data indicated that northwestern India emerged as a critical water scarcity hotspot, displaying negative trends of around −7.413 cm per year. Furthermore, the analysis clearly showed that the Western Dry Region, Western Himalayan, and Gangetic Plain agro-ecological zone (AEZ) experienced the sharpest declines in equivalent water thickness (EWT) compared to other AEZ regions in India. The review also highlighted the value of knowledge-sharing platforms and tailored CRA strategies that increase agricultural productivity and enable farmers to make informed decisions in the face of climate uncertainty.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100544"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179625","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2024.100550
Filippos K. Zisopoulos , Brian D. Fath , Xin Tong , Martin de Jong
The network properties of the global waste trade were assessed by using time series data of material and monetary flows between 2000 and 2022 from the online experimental database of Chatham House. More specifically, indicators from ecological network analysis and ascendency analysis were used to identity patterns which may not otherwise be directly identifiable, and to compare the network properties of the global waste trade to those of natural ecosystems. Focus was given on the distribution of monetary and material flows, on policy recommendations, and on future research avenues which we think are relevant for obtaining a more comprehensive understanding of socio-economic systems such as trade networks. This work provides a solid example of the application of network-based methods as an eco-mimicry approach for assessing the sustainability and fragility of socio-economic systems which can be of relevance to researchers and policy makers interested on transitions towards regenerative circular economies.
{"title":"Network properties of the global waste trade","authors":"Filippos K. Zisopoulos , Brian D. Fath , Xin Tong , Martin de Jong","doi":"10.1016/j.indic.2024.100550","DOIUrl":"10.1016/j.indic.2024.100550","url":null,"abstract":"<div><div>The network properties of the global waste trade were assessed by using time series data of material and monetary flows between 2000 and 2022 from the online experimental database of Chatham House. More specifically, indicators from ecological network analysis and ascendency analysis were used to identity patterns which may not otherwise be directly identifiable, and to compare the network properties of the global waste trade to those of natural ecosystems. Focus was given on the distribution of monetary and material flows, on policy recommendations, and on future research avenues which we think are relevant for obtaining a more comprehensive understanding of socio-economic systems such as trade networks. This work provides a solid example of the application of network-based methods as an eco-mimicry approach for assessing the sustainability and fragility of socio-economic systems which can be of relevance to researchers and policy makers interested on transitions towards regenerative circular economies.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100550"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180114","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2025.100592
Vu Ngoc Xuan
This study examines the dynamic interactions among GDP, foreign direct investment (FDI), renewable energy, and open innovation in Germany, leveraging the Autoregressive Distributed Lag (ARDL) method to uncover short- and long-term relationships. Amid growing global emphasis on sustainable development, understanding how these factors interrelate is crucial for shaping policies that foster economic growth while promoting environmental sustainability. Using data from 2000 to 2023 and robust econometric modelling, the study reveals significant insights into the roles of FDI and open innovation in enhancing renewable energy adoption and economic performance. Findings indicate that FDI positively influences GDP in both the short and long term, while renewable energy adoption and open innovation act as critical catalysts, strengthening FDI's impact on economic growth. These results underscore the importance of fostering an innovation-friendly environment to maximize renewable energy's contributions to GDP. Policy implications suggest that enhancing support for open innovation and renewable energy initiatives could yield sustained economic benefits. This study contributes to the existing literature by highlighting open innovation's distinctive role in Germany's economic framework, with specific recommendations to support future research addressing current policy and economic analysis gaps.
{"title":"Relationship between GDP, FDI, renewable energy, and open innovation in Germany: New insights from ARDL method","authors":"Vu Ngoc Xuan","doi":"10.1016/j.indic.2025.100592","DOIUrl":"10.1016/j.indic.2025.100592","url":null,"abstract":"<div><div>This study examines the dynamic interactions among GDP, foreign direct investment (FDI), renewable energy, and open innovation in Germany, leveraging the Autoregressive Distributed Lag (ARDL) method to uncover short- and long-term relationships. Amid growing global emphasis on sustainable development, understanding how these factors interrelate is crucial for shaping policies that foster economic growth while promoting environmental sustainability. Using data from 2000 to 2023 and robust econometric modelling, the study reveals significant insights into the roles of FDI and open innovation in enhancing renewable energy adoption and economic performance. Findings indicate that FDI positively influences GDP in both the short and long term, while renewable energy adoption and open innovation act as critical catalysts, strengthening FDI's impact on economic growth. These results underscore the importance of fostering an innovation-friendly environment to maximize renewable energy's contributions to GDP. Policy implications suggest that enhancing support for open innovation and renewable energy initiatives could yield sustained economic benefits. This study contributes to the existing literature by highlighting open innovation's distinctive role in Germany's economic framework, with specific recommendations to support future research addressing current policy and economic analysis gaps.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100592"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180331","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2024.100576
Trong Phuong Tran , Duc Vien Tran , Van Khue Phan , Dinh Trung Nguyen , Truong Son Cao , Duc Loc Nguyen , Huu Cong Vo
In recent years, the socioeconomic development of Ha Tinh province, particularly in the Can Loc district, has been significantly influenced by substantial agricultural growth, however, the grassroot factors such as economic condition, policy mechanism, employment, natural factors have not been considered. This study aims to investigate the impact of these factors on agricultural land transformation in Can Loc district, Ha Tinh province, Vietnam. The methodology utilizes a survey-based approach to collect data from 200 households and employs multivariate regression statistics to investigate the factors that drive changes in agricultural land use in response to climate change in the Can Loc district. The findings reveal a hierarchy of factors that influence agricultural land use change for climate adaptation in the district. Economic factors (X4) have the most substantial influence, accounting for 23.56% of the observed changes. Policies mechanisms (X1) rank second, contributing to 21.15% of the observed changes. Employment considerations (X5) rank third, with a contribution of 19.87%. Climate change considerations (X2) closely follow, accounting for 18.69%. Nature factors (X3) round up the list, with a 16.73% influence. Furthermore, the study proposes policies mechanisms and suggests implementing comprehensive mechanization processes to enhance the agricultural production capacity, enabling better adaptation to climate change.
{"title":"Factors influencing agricultural land transformation for climate change adaptation in Can Loc district, Ha Tinh province, Vietnam","authors":"Trong Phuong Tran , Duc Vien Tran , Van Khue Phan , Dinh Trung Nguyen , Truong Son Cao , Duc Loc Nguyen , Huu Cong Vo","doi":"10.1016/j.indic.2024.100576","DOIUrl":"10.1016/j.indic.2024.100576","url":null,"abstract":"<div><div>In recent years, the socioeconomic development of Ha Tinh province, particularly in the Can Loc district, has been significantly influenced by substantial agricultural growth, however, the grassroot factors such as economic condition, policy mechanism, employment, natural factors have not been considered. This study aims to investigate the impact of these factors on agricultural land transformation in Can Loc district, Ha Tinh province, Vietnam. The methodology utilizes a survey-based approach to collect data from 200 households and employs multivariate regression statistics to investigate the factors that drive changes in agricultural land use in response to climate change in the Can Loc district. The findings reveal a hierarchy of factors that influence agricultural land use change for climate adaptation in the district. Economic factors (X4) have the most substantial influence, accounting for 23.56% of the observed changes. Policies mechanisms (X1) rank second, contributing to 21.15% of the observed changes. Employment considerations (X5) rank third, with a contribution of 19.87%. Climate change considerations (X2) closely follow, accounting for 18.69%. Nature factors (X3) round up the list, with a 16.73% influence. Furthermore, the study proposes policies mechanisms and suggests implementing comprehensive mechanization processes to enhance the agricultural production capacity, enabling better adaptation to climate change.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100576"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180320","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2025.100588
Hussein H. Sharaf-Addin , Ahmed Abdullah Saad Al-Dhubaibi
Carbon sustainability reporting plays a critical role in achieving net-zero carbon emissions, yet its application and effectiveness require greater exploration. This study examines the Malaysian practice of carbon sustainability reporting, grounded in the Greenhouse Gas (GHG) protocol framework, focusing on five key principles: relevance, completeness, consistency, transparency, and accuracy. Using a quantitative approach, data were collected from the top 50 oil and gas companies listed in Bursa Malaysia via a questionnaire survey. Results from Structural Equation Modeling (SEM) reveal that consistency, transparency, and accuracy significantly enhance carbon sustainability reporting, while relevance and completeness exhibit no direct influence. Furthermore, all five GHG principles positively influence net-zero carbon emissions, emphasizing their importance in emission reduction efforts. The study also demonstrates that carbon sustainability reporting partially mediates the relationships between completeness, transparency, accuracy, and net-zero carbon emissions. These findings highlight the need for standardized, transparent, and accurate reporting practices to support effective climate action. Policy implications suggest that regulatory bodies prioritize robust reporting standards and provide incentives for adopting comprehensive GHG accounting frameworks, ensuring alignment with Malaysia's net-zero ambitions.
{"title":"Carbon sustainability reporting based on GHG protocol framework: A Malaysian practice towards net-zero carbon emissions","authors":"Hussein H. Sharaf-Addin , Ahmed Abdullah Saad Al-Dhubaibi","doi":"10.1016/j.indic.2025.100588","DOIUrl":"10.1016/j.indic.2025.100588","url":null,"abstract":"<div><div>Carbon sustainability reporting plays a critical role in achieving net-zero carbon emissions, yet its application and effectiveness require greater exploration. This study examines the Malaysian practice of carbon sustainability reporting, grounded in the Greenhouse Gas (GHG) protocol framework, focusing on five key principles: relevance, completeness, consistency, transparency, and accuracy. Using a quantitative approach, data were collected from the top 50 oil and gas companies listed in Bursa Malaysia via a questionnaire survey. Results from Structural Equation Modeling (SEM) reveal that consistency, transparency, and accuracy significantly enhance carbon sustainability reporting, while relevance and completeness exhibit no direct influence. Furthermore, all five GHG principles positively influence net-zero carbon emissions, emphasizing their importance in emission reduction efforts. The study also demonstrates that carbon sustainability reporting partially mediates the relationships between completeness, transparency, accuracy, and net-zero carbon emissions. These findings highlight the need for standardized, transparent, and accurate reporting practices to support effective climate action. Policy implications suggest that regulatory bodies prioritize robust reporting standards and provide incentives for adopting comprehensive GHG accounting frameworks, ensuring alignment with Malaysia's net-zero ambitions.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100588"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180548","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2025.100591
Virginia Hernanz , Sonia Quiroga , Cristina Suárez , José Evelio Aguiño
Rich in biodiversity, Tumaco is a key area for REDD+ (Reducing Emissions from Deforestation and forest Degradation) projects focused on reducing deforestation and promoting sustainable land use. Cacao farming plays a vital role in the local economy, offering an opportunity to align livelihoods with conservation. This study evaluates the impact of REDD + carbon payments versus PNIS (Integral Program for the Substitution of Illicit Crops) direct payments in replacing illicit crops and supporting peacebuilding efforts. It also examines how farmers' awareness of environmental payment schemes, particularly carbon credits, relates to income levels, and how climate conditions, especially rainfall patterns, influence perceptions of these initiatives. Farmers' understanding of climate change strongly affects the success of REDD+, with increased awareness of carbon credits expected to improve income and climate resilience. However, around 20% of farmers below the poverty line lack knowledge of carbon credits, threatening REDD + effectiveness. Current estimates suggest only a 5.76% likelihood of high awareness of carbon credits, rising to 19.43% under extreme climate conditions, stressing the need for targeted education efforts.
{"title":"Evaluating the merit of carbon credits: Is there a lack of effectiveness in transitioning from direct payments for ecosystem services to REDD+ community-based incentives?","authors":"Virginia Hernanz , Sonia Quiroga , Cristina Suárez , José Evelio Aguiño","doi":"10.1016/j.indic.2025.100591","DOIUrl":"10.1016/j.indic.2025.100591","url":null,"abstract":"<div><div>Rich in biodiversity, Tumaco is a key area for REDD+ (Reducing Emissions from Deforestation and forest Degradation) projects focused on reducing deforestation and promoting sustainable land use. Cacao farming plays a vital role in the local economy, offering an opportunity to align livelihoods with conservation. This study evaluates the impact of REDD + carbon payments versus PNIS (Integral Program for the Substitution of Illicit Crops) direct payments in replacing illicit crops and supporting peacebuilding efforts. It also examines how farmers' awareness of environmental payment schemes, particularly carbon credits, relates to income levels, and how climate conditions, especially rainfall patterns, influence perceptions of these initiatives. Farmers' understanding of climate change strongly affects the success of REDD+, with increased awareness of carbon credits expected to improve income and climate resilience. However, around 20% of farmers below the poverty line lack knowledge of carbon credits, threatening REDD + effectiveness. Current estimates suggest only a 5.76% likelihood of high awareness of carbon credits, rising to 19.43% under extreme climate conditions, stressing the need for targeted education efforts.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100591"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179387","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}
Pub Date : 2025-02-01DOI: 10.1016/j.indic.2025.100594
Alireza Hadipour , Seyed Hamid Ahmadi , Ali Reza Sepaskhah
Water and land scarcity and their impacts on global food and water security and healthy diet represents a paramount challenge, especially for vulnerable regions like the Middle East and North Africa (MENA) region A significant research gap persists in understanding the impact of climate change, population growth, and the overexploitation of water resources on the socioeconomic and political performance of countries. Therefore, we aim to investigate the effects of water and land scarcity, and unhealthy diets on the productive capacity index of MENA countries over a 20-year period (2001–2020) using time series trend, panel data econometric modeling and the fixed effects method. Accordingly, the results of the fixed effects model analysis showed that renewable water resources, arable to agriculture land ratio and exposure to a diet low in whole grains and legumes had the greatest negative impact on the productive capacity index of MENA countries, while the institutional quality and education level had the greatest positive impact on the index. The visualization analysis also revealed a significant diversity in water and land resources among MENA countries.
{"title":"Consequences of water and land scarcity and unhealthy diets on the productive capacity of the middle East and North Africa","authors":"Alireza Hadipour , Seyed Hamid Ahmadi , Ali Reza Sepaskhah","doi":"10.1016/j.indic.2025.100594","DOIUrl":"10.1016/j.indic.2025.100594","url":null,"abstract":"<div><div>Water and land scarcity and their impacts on global food and water security and healthy diet represents a paramount challenge, especially for vulnerable regions like the Middle East and North Africa (MENA) region A significant research gap persists in understanding the impact of climate change, population growth, and the overexploitation of water resources on the socioeconomic and political performance of countries. Therefore, we aim to investigate the effects of water and land scarcity, and unhealthy diets on the productive capacity index of MENA countries over a 20-year period (2001–2020) using time series trend, panel data econometric modeling and the fixed effects method. Accordingly, the results of the fixed effects model analysis showed that renewable water resources, arable to agriculture land ratio and exposure to a diet low in whole grains and legumes had the greatest negative impact on the productive capacity index of MENA countries, while the institutional quality and education level had the greatest positive impact on the index. The visualization analysis also revealed a significant diversity in water and land resources among MENA countries.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100594"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180347","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}
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