{"title":"一半大于全部:中国经济增长目标如何影响森林生态效率","authors":"Bohao Jin , Heming Wang","doi":"10.1016/j.seps.2025.102324","DOIUrl":null,"url":null,"abstract":"<div><div>With its command economy legacy, China's economic growth target (EGT) can interfere with the health of forest eco-efficiency (FEE). From the ecosystem services perspective, which categorizes outputs into supply, cultural, and regulating services, this study measures FEE of 30 provinces in China from 2006 to 2019. On this basis, this study empirically analyzes the effect of EGT on FEE using fixed effect and threshold regression models. The relevant results are fourfold. (i) FEE initially exhibits volatility before stabilizing, with Fujian leading in average FEE and Hubei recording the peak value in 2016–2017. (ii) EGT shows inverted U-shaped causality on FEE. (iii) Regulatory, normative, and cognitive mechanisms mediate the impact of EGT on FEE, as posited by institutional force theory, and normative and cognitive forces have the 6.5 % threshold value. (iv) Forests that are under community ownership and in regions with higher marketization demonstrate reduced sensitivity to EGT. The study concludes with strategic recommendations for policymakers to bolster sustainable FEE through targeted reforms to advance promotional objectives, refine property rights structure, and enhance ecosystem service compensation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102324"},"PeriodicalIF":5.4000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The half is more than the whole: How China's economic growth target affects forest eco-efficiency\",\"authors\":\"Bohao Jin , Heming Wang\",\"doi\":\"10.1016/j.seps.2025.102324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With its command economy legacy, China's economic growth target (EGT) can interfere with the health of forest eco-efficiency (FEE). From the ecosystem services perspective, which categorizes outputs into supply, cultural, and regulating services, this study measures FEE of 30 provinces in China from 2006 to 2019. On this basis, this study empirically analyzes the effect of EGT on FEE using fixed effect and threshold regression models. The relevant results are fourfold. (i) FEE initially exhibits volatility before stabilizing, with Fujian leading in average FEE and Hubei recording the peak value in 2016–2017. (ii) EGT shows inverted U-shaped causality on FEE. (iii) Regulatory, normative, and cognitive mechanisms mediate the impact of EGT on FEE, as posited by institutional force theory, and normative and cognitive forces have the 6.5 % threshold value. (iv) Forests that are under community ownership and in regions with higher marketization demonstrate reduced sensitivity to EGT. The study concludes with strategic recommendations for policymakers to bolster sustainable FEE through targeted reforms to advance promotional objectives, refine property rights structure, and enhance ecosystem service compensation.</div></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"102 \",\"pages\":\"Article 102324\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012125001739\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125001739","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The half is more than the whole: How China's economic growth target affects forest eco-efficiency
With its command economy legacy, China's economic growth target (EGT) can interfere with the health of forest eco-efficiency (FEE). From the ecosystem services perspective, which categorizes outputs into supply, cultural, and regulating services, this study measures FEE of 30 provinces in China from 2006 to 2019. On this basis, this study empirically analyzes the effect of EGT on FEE using fixed effect and threshold regression models. The relevant results are fourfold. (i) FEE initially exhibits volatility before stabilizing, with Fujian leading in average FEE and Hubei recording the peak value in 2016–2017. (ii) EGT shows inverted U-shaped causality on FEE. (iii) Regulatory, normative, and cognitive mechanisms mediate the impact of EGT on FEE, as posited by institutional force theory, and normative and cognitive forces have the 6.5 % threshold value. (iv) Forests that are under community ownership and in regions with higher marketization demonstrate reduced sensitivity to EGT. The study concludes with strategic recommendations for policymakers to bolster sustainable FEE through targeted reforms to advance promotional objectives, refine property rights structure, and enhance ecosystem service compensation.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.