{"title":"Carbon emissions reduction target and green utilization of land resources: Evidence from the industrial land market in China","authors":"Xin Lin , Eddie Chi-man Hui , Jianfu Shen","doi":"10.1016/j.eiar.2024.107677","DOIUrl":null,"url":null,"abstract":"<div><p>Countries around the world are proposing ambitious carbon emissions reduction targets to combat climate change, but rigorous causal evidence on how these targets affect governments' decisions and resource allocation is relatively scarce. Using a sharp regression discontinuity design, this study finds that tougher carbon targets can effectively green local governments' land resource allocation in China, as evidenced by around 15 % more land being supplied to carbon-friendly industries than under weaker targets. However, given resource reliance and the nature of comparative advantage, local governments do not reduce the proportion of land allocated to carbon-intensive industries when facing tough carbon emissions reduction targets. Further evidence indicates that greater pressure to achieve economic growth, higher career incentives, and stronger competitive pressure weaken the effect of tougher carbon targets on the green utilization of land resources, whereas stronger public attention strengthens the efficacy of carbon targets. Counties with tougher carbon targets than others experience simultaneous reductions in carbon emissions and GDP after increasing the share of carbon-friendly industrial land. This work provides policy implications for promoting the greener utilization of land resources and more sustainable development in the context of governments facing trade-offs between the economy and the environment under a multitasking evaluation system.</p></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"110 ","pages":"Article 107677"},"PeriodicalIF":9.8000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925524002646","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Countries around the world are proposing ambitious carbon emissions reduction targets to combat climate change, but rigorous causal evidence on how these targets affect governments' decisions and resource allocation is relatively scarce. Using a sharp regression discontinuity design, this study finds that tougher carbon targets can effectively green local governments' land resource allocation in China, as evidenced by around 15 % more land being supplied to carbon-friendly industries than under weaker targets. However, given resource reliance and the nature of comparative advantage, local governments do not reduce the proportion of land allocated to carbon-intensive industries when facing tough carbon emissions reduction targets. Further evidence indicates that greater pressure to achieve economic growth, higher career incentives, and stronger competitive pressure weaken the effect of tougher carbon targets on the green utilization of land resources, whereas stronger public attention strengthens the efficacy of carbon targets. Counties with tougher carbon targets than others experience simultaneous reductions in carbon emissions and GDP after increasing the share of carbon-friendly industrial land. This work provides policy implications for promoting the greener utilization of land resources and more sustainable development in the context of governments facing trade-offs between the economy and the environment under a multitasking evaluation system.
为应对气候变化,世界各国都提出了雄心勃勃的碳减排目标,但有关这些目标如何影响政府决策和资源分配的严谨因果证据却相对匮乏。本研究采用急剧回归不连续设计,发现更严格的碳减排目标可以有效地绿化中国地方政府的土地资源配置,与较弱的目标相比,向碳友好型产业提供的土地增加了约 15%。然而,考虑到资源依赖性和比较优势的本质,地方政府在面对严厉的碳减排目标时,并不会减少碳密集型产业的土地配置比例。进一步的证据表明,更大的经济增长压力、更高的职业激励和更强的竞争压力削弱了更严格的碳减排目标对土地资源绿色利用的影响,而更强的公众关注则加强了碳减排目标的效力。与其他国家相比,碳目标更严格的国家在增加碳友好型工业用地比例后,碳排放量和 GDP 会同时减少。这项工作为政府在多重任务评价体系下面临经济与环境权衡的背景下,促进土地资源的绿色利用和更可持续的发展提供了政策启示。
期刊介绍:
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.