Meixi Chen , Nawal Abdalla Adam , Fatima Gulzar , Xiaokun Li , Munira Azlarova , Basu Roos
{"title":"将生态指标纳入经济金融决策管理","authors":"Meixi Chen , Nawal Abdalla Adam , Fatima Gulzar , Xiaokun Li , Munira Azlarova , Basu Roos","doi":"10.1016/j.ecolind.2025.113482","DOIUrl":null,"url":null,"abstract":"<div><div>The disconnection between ecological sustainability and financial decision-making remains a persistent challenge in managing environmental restoration efforts. This study aims to evaluate how financial assistance for ecological restoration contributes to improvements in grassland vegetation coverage—an essential ecological indicator—by integrating ecological metrics into economic and financial management frameworks. Using panel data spanning from 2005 to 2020 across 54 counties in China that engage in animal husbandry and semi-agricultural practices (excluding Inner Mongolia), the study employs bidirectional fixed-effects and cross-fixed-effects models while controlling for relevant natural factors. Empirical results reveal: (1) a significant but nonlinear relationship between fiscal assistance and vegetation coverage; (2) regional variation in the ecological impact of financial assistance due to differing environmental baselines; (3) stronger ecological outcomes where fiscal decentralization is more balanced; (4) local government effectiveness significantly mediates the impact of financial support; and (5) mismatches in fiscal spending structures can reduce ecological returns. These findings suggest that embedding ecological indicators into fiscal planning and enhancing local governance capacities are vital for improving the cost-effectiveness and environmental impact of restoration programs.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"174 ","pages":"Article 113482"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating ecological indicators into economic and financial decision-making management\",\"authors\":\"Meixi Chen , Nawal Abdalla Adam , Fatima Gulzar , Xiaokun Li , Munira Azlarova , Basu Roos\",\"doi\":\"10.1016/j.ecolind.2025.113482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The disconnection between ecological sustainability and financial decision-making remains a persistent challenge in managing environmental restoration efforts. This study aims to evaluate how financial assistance for ecological restoration contributes to improvements in grassland vegetation coverage—an essential ecological indicator—by integrating ecological metrics into economic and financial management frameworks. Using panel data spanning from 2005 to 2020 across 54 counties in China that engage in animal husbandry and semi-agricultural practices (excluding Inner Mongolia), the study employs bidirectional fixed-effects and cross-fixed-effects models while controlling for relevant natural factors. Empirical results reveal: (1) a significant but nonlinear relationship between fiscal assistance and vegetation coverage; (2) regional variation in the ecological impact of financial assistance due to differing environmental baselines; (3) stronger ecological outcomes where fiscal decentralization is more balanced; (4) local government effectiveness significantly mediates the impact of financial support; and (5) mismatches in fiscal spending structures can reduce ecological returns. These findings suggest that embedding ecological indicators into fiscal planning and enhancing local governance capacities are vital for improving the cost-effectiveness and environmental impact of restoration programs.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"174 \",\"pages\":\"Article 113482\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25004121\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25004121","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Integrating ecological indicators into economic and financial decision-making management
The disconnection between ecological sustainability and financial decision-making remains a persistent challenge in managing environmental restoration efforts. This study aims to evaluate how financial assistance for ecological restoration contributes to improvements in grassland vegetation coverage—an essential ecological indicator—by integrating ecological metrics into economic and financial management frameworks. Using panel data spanning from 2005 to 2020 across 54 counties in China that engage in animal husbandry and semi-agricultural practices (excluding Inner Mongolia), the study employs bidirectional fixed-effects and cross-fixed-effects models while controlling for relevant natural factors. Empirical results reveal: (1) a significant but nonlinear relationship between fiscal assistance and vegetation coverage; (2) regional variation in the ecological impact of financial assistance due to differing environmental baselines; (3) stronger ecological outcomes where fiscal decentralization is more balanced; (4) local government effectiveness significantly mediates the impact of financial support; and (5) mismatches in fiscal spending structures can reduce ecological returns. These findings suggest that embedding ecological indicators into fiscal planning and enhancing local governance capacities are vital for improving the cost-effectiveness and environmental impact of restoration programs.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.