Environmental and Sustainability Indicators最新文献_第5页

Review of climate-resilient agriculture for ensuring food security: Sustainability opportunities and challenges of India

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100544

Satiprasad Sahoo , Chiranjit Singha , Ajit Govind , Armin Moghimi

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.

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引用次数: 0

Network properties of the global waste trade

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 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.

引用次数: 0

Relationship between GDP, FDI, renewable energy, and open innovation in Germany: New insights from ARDL method 德国国内生产总值、外国直接投资、可再生能源和开放式创新之间的关系：ARDL 方法的新见解

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 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.

本研究考察了德国国内生产总值（GDP）、外国直接投资（FDI）、可再生能源和开放式创新之间的动态互动关系，利用自回归分布滞后（ARDL）方法揭示了短期和长期关系。在全球日益重视可持续发展的背景下，了解这些因素之间的相互关系对于制定既能促进经济增长又能促进环境可持续发展的政策至关重要。研究利用 2000 年至 2023 年的数据和稳健的计量经济学模型，揭示了外国直接投资和开放式创新在提高可再生能源采用率和经济绩效方面的重要作用。研究结果表明，外国直接投资在短期和长期内都会对国内生产总值产生积极影响，而可再生能源的采用和开放式创新则起到了关键的催化作用，加强了外国直接投资对经济增长的影响。这些结果突出表明，必须营造有利于创新的环境，以最大限度地提高可再生能源对国内生产总值的贡献。政策影响表明，加强对开放式创新和可再生能源计划的支持可以产生持续的经济效益。本研究通过强调开放式创新在德国经济框架中的独特作用，为现有文献做出了贡献，并提出了支持未来研究的具体建议，以解决当前政策和经济分析方面的差距。

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引用次数: 0

Factors influencing agricultural land transformation for climate change adaptation in Can Loc district, Ha Tinh province, Vietnam

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 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.

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引用次数: 0

Carbon sustainability reporting based on GHG protocol framework: A Malaysian practice towards net-zero carbon emissions

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 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.

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引用次数: 0

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?

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 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.

图马科拥有丰富的生物多样性，是降低因森林砍伐和退化所产生的排放（REDD+）项目的重点地区，该项目旨在减少森林砍伐，促进土地的可持续利用。可可种植在当地经济中发挥着至关重要的作用，为将生计与保护结合起来提供了机会。本研究评估了 REDD + 碳付款与 PNIS（替代非法作物综合计划）直接付款在替代非法作物和支持和平建设努力方面的影响。研究还探讨了农民对环境付款计划（尤其是碳信用额）的认识与收入水平的关系，以及气候条件（尤其是降雨模式）如何影响对这些举措的看法。农民对气候变化的理解在很大程度上影响着 REDD+ 的成功与否，对碳信用额度认识的提高有望提高收入和气候适应能力。然而，约 20% 处于贫困线以下的农民缺乏对碳信用额度的了解，这威胁到 REDD+ 的有效性。目前的估计表明，对碳信用额度有较高认识的可能性仅为 5.76%，而在极端气候条件下则会上升到 19.43%，这就强调了有必要开展有针对性的教育工作。

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引用次数: 0

Consequences of water and land scarcity and unhealthy diets on the productive capacity of the middle East and North Africa 水资源和土地匮乏以及不健康饮食对中东和北非地区生产能力的影响

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 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.

水和土地稀缺及其对全球粮食和水安全以及健康饮食的影响是一项重大挑战，尤其是对中东和北非（MENA）地区这样的脆弱地区而言。在了解气候变化、人口增长和水资源过度开发对各国社会经济和政治表现的影响方面，仍然存在巨大的研究差距。因此，我们旨在利用时间序列趋势、面板数据计量经济学模型和固定效应方法，研究水和土地稀缺以及不健康饮食在 20 年内（2001-2020 年）对中东和北非国家生产能力指数的影响。因此，固定效应模型分析的结果表明，可再生水资源、耕地与农业用地的比率以及全谷物和豆类含量低的饮食对中东和北非国家的生产能力指数的负面影响最大，而机构质量和教育水平对该指数的正面影响最大。可视化分析还显示，中东和北非国家的水资源和土地资源存在显著差异。

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引用次数: 0

Assessing groundwater quality and suitability in Qatar: Strategic insights for sustainable water management and environmental protection

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100582

Sarra Aloui , Adel Zghibi , Annamaria Mazzoni , Ahmad S. Abushaikha , Adel Elomri

Groundwater resources in arid regions are crucial for water and food security and the maintenance of ecosystem services but face significant challenges from overexploitation and contamination, exacerbated by climate change. In Qatar, understanding the spatial variability of groundwater quality and its suitability for use remains limited. This study examines groundwater quality across the peninsula and evaluates its suitability for drinking and irrigation employing comprehensive Geographic Information System (GIS) techniques and water quality assessments. Twelve physicochemical parameters were analyzed to evaluate groundwater quality and determine the hydrogeochemical facies. Geospatial analysis was employed to visualize and quantify spatial correlations between groundwater salinity and geology, rainfall, distance to sea, land use, and abstraction and recharge activities. Suitability for use was assessed using the drinking water quality index (DWQI) and a novel integrated irrigation water quality index (IWQI), constructed upon seven standard indices. Results revealed predominantly high salinity in coastal and southern parts, suggesting extensive saltwater intrusion. Spatial correlations showed combined environmental and anthropogenic influences on groundwater salinity. Recharge efforts positively influenced groundwater quality, highlighting their effectiveness. The DWQI showed excellent to good drinking suitability over 1053.3 km² (9.1%) of the study area. The IWQI indicated high to very high irrigation suitability over 3611 km² (31.1%), concentrated in the north-central region. These findings highlight the critical importance of groundwater quality indicators for effective monitoring and underscore the need for integrated groundwater management strategies. This study offers practical guidance for local water resource managers, policymakers, and communities while also contributing to global climate adaptation strategies.

干旱地区的地下水资源对于水和粮食安全以及生态系统服务的维持至关重要，但却面临着过度开采和污染的巨大挑战，而气候变化又加剧了这一挑战。在卡塔尔，人们对地下水水质的空间变化及其使用适宜性的了解仍然有限。本研究采用综合地理信息系统（GIS）技术和水质评估方法，对整个半岛的地下水水质进行研究，并评估其是否适合饮用和灌溉。分析了 12 个物理化学参数，以评估地下水水质并确定水文地质化学面貌。采用地理空间分析来直观和量化地下水盐度与地质、降雨量、距海距离、土地利用以及取水和补水活动之间的空间相关性。使用饮用水水质指数（DWQI）和基于七个标准指数构建的新型综合灌溉水水质指数（IWQI）评估了地下水的使用适宜性。结果显示，沿海和南部地区的盐度普遍较高，表明海水入侵范围很广。空间相关性表明，环境和人为因素共同影响着地下水的盐度。补水工作对地下水质量产生了积极影响，凸显了补水工作的有效性。地下水质量指数（DWQI）显示，在研究区域的 1053.3 平方公里（9.1%）范围内，饮用水适宜性从优到良。灌溉水质指数（IWQI）显示，3611 平方公里（31.1%）的灌溉适宜性从高到很高，主要集中在中北部地区。这些研究结果凸显了地下水质量指标对有效监测的极端重要性，并强调了地下水综合管理战略的必要性。这项研究为当地水资源管理者、决策者和社区提供了实用指导，同时也为全球气候适应战略做出了贡献。

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引用次数: 0

How to reduce the risk of climate change for the sustainability of rural farmers? Based on evidence from Iran

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100581

Moslem Savari , Bagher Khaleghi , Abbas Sheheytavi

The accelerating impacts of climate change (CC) in Iran pose critical threats to the livelihoods of vulnerable populations, particularly rural communities and farmers. Addressing these challenges requires the adoption of effective adaptation and mitigation strategies, which hinge on a thorough understanding of climate change risk perception (CCRP). This study aimed to identify the key determinants influencing CCRP among Iran's rural farming communities, using the Climate Change Risk Perception Model (CCRPM) as its theoretical framework. The research focused on rural households in Shushtar County, Southwest Iran. The findings demonstrated that the CCRPM exhibited exceptional explanatory power in the Iranian context, accounting for 74.2% of the variance in farmers' CCRP—a notably higher figure compared to similar studies conducted elsewhere. Specifically, the model's components—cognitive, experiential, socio-cultural, and socio-demographic factors— have significant effect on the farmers' CCRP. These results provide valuable insights for policymakers, supporting the development of targeted strategies to enhance the resilience and stability of local communities in the face of CC.

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引用次数: 0

Resilience capacity among the vulnerable farming households in Meki River catchment, Central Rift Valley of Ethiopia: Present situation and future prospects

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Environmental and Sustainability Indicators

Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100596

Simret Terefe , Amare Bantider , Ermias Teferi , Meskerem Abi

The concept of resilience has recently been measured from the food security perspective, to estimate the capacity to deal with the impacts of unpredictable shocks. This study indexed the resilience capacity of farming households and identified determining indicators of resilience across the three kebeles in Meki River catchment, Central Rift Valley of Ethiopia. The resilience measurement considered latent variables such as Climate Extremes, Access to Basic Services, Asset, Social Safety Nets, Stability, Adaptive Capacity, and Social Capital as resilience indicators. Principal component analysis and the Multiple Indicator Multiple Cause model were used to estimate the Resilience Capacity Index (RCI). The model showed that Asset, Stability, and Adaptive Capacity have a significant explanatory weight in estimating RCI. Adaptive Capacity was negatively correlated with the RCI while Asset and Stability showed a meaningful positive contribution to household resilience capacity. Besides, the model revealed that Stability significantly improved household Resilience Capacity (RC) across all the studied kebeles. In addition, among the selected households across the three kebeles, households in Dobena Gola and Dobena Enseno reported better RC to bounce back to the previous level of food security. In contrast, households in Sheliwasho were unable to resist shocks and stressors. Therefore, households possessing greater RC likely sustained their food security, whereas those with lower RC were more prone to experiencing food insecurity. Overall, the study reveals that RCI measurement should be validated across diverse geographical scales and climatic zones for accurate estimation of RC.

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引用次数: 0