暨南学报(哲学社会科学版)

作者：李卫兵, 陈思远

单位：华中科技大学经济学院。

关键词：碳达峰碳中和,气候变化经济学,气温变化,企业选址,新经济地理

基金：国家社会科学基金一般项目“城镇化高质量发展的时空演化机制与空间路径研究”(20BJY071)。

现有文献大多忽视了气温变化因素对企业选址决策的影响,本文试图通过微观企业数据的分析进行有益的学术补充。为此,本文分别采用季度均温、日度均温和极端温度天数等三种方式衡量气温变化,并基于中国工业企业数据和城市气象数据,首次分析了企业选址决策是否会受到气温变化的显著影响。研究发现,夏季、秋季均温的升高和春季、冬季均温的降低会使当地新建企业数显著减少,极端温度(包括极端高温和极端低温)天数的增加也会对当地企业进入造成显著的负向影响,并且这一影响对不同所有制、不同行业的企业以及经济发达程度和气温变化幅度不同地区的企业存在异质性。进一步研究表明,气温变化主要通过降低地区劳动力供给数量和质量以及增强地区环境规制强度两个机制对企业选址决策产生影响。本文的研究结论为政府制定和实施气温治理政策提供了经验证据,也为地区引进企业和吸引人才提供了决策参考。"/>template{display:none;}.mag-rich-xref-fn { cursor: pointer;}//长视频$(document).ready(function(){if($("#showLongArticleVideo") && $("#showLongArticleVideo").length && $("#showLongArticleVideo").length>0){mag_ajax_update({ele_id:'showLongArticleVideo',url:mag_currentQikanUrl() + "/CN/article/showLongArticleVideo.do?id="+$("#articleId").val()});}});$(document).ready(function(){window.metaData = {"journal":{"issn":"1000-5072","qiKanMingCheng_CN":"暨南学报（哲学社会科学版）","id":2,"qiKanMingCheng_EN":"Jinan Journal"},"fundList_cn":["国家社会科学基金一般项目“城镇化高质量发展的时空演化机制与空间路径研究”(20BJY071)。"],"article":{"keywordList_cn":["碳达峰碳中和","气候变化经济学","气温变化","企业选址","新经济地理"],"juan":"45","zhaiyao_cn":"现有文献大多忽视了气温变化因素对企业选址决策的影响,本文试图通过微观企业数据的分析进行有益的学术补充。为此,本文分别采用季度均温、日度均温和极端温度天数等三种方式衡量气温变化,并基于中国工业企业数据和城市气象数据,首次分析了企业选址决策是否会受到气温变化的显著影响。研究发现,夏季、秋季均温的升高和春季、冬季均温的降低会使当地新建企业数显著减少,极端温度(包括极端高温和极端低温)天数的增加也会对当地企业进入造成显著的负向影响,并且这一影响对不同所有制、不同行业的企业以及经济发达程度和气温变化幅度不同地区的企业存在异质性。进一步研究表明,气温变化主要通过降低地区劳动力供给数量和质量以及增强地区环境规制强度两个机制对企业选址决策产生影响。本文的研究结论为政府制定和实施气温治理政策提供了经验证据,也为地区引进企业和吸引人才提供了决策参考。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=6852","reference":"","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=6852","articleType":"","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/10.11778/j.jnxb.20231110","qi":"11","id":6852,"nian":2023,"bianHao":"1700464941137-1210907131","zuoZheEn_L":"LI Weibing, CHEN Siyuan","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2023","shouCiFaBuRiQi":"2023-11-20","qiShiYe":"114","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2023/V45/I11","lanMu_cn":"中国式现代化·碳达峰碳中和","pdfSize":"1696","zuoZhe_CN":"李卫兵, 陈思远","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=6852","title_cn":"气温变化会影响企业选址吗？——基于碳达峰碳中和的企业层面微观数据","doi":"10.11778/j.jnxb.20231110","jieShuYe":"132","keywordList_en":["emission peak and carbon neutrality","climate change economics","temperature change","enterprise location decisions","new economic geography"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=6852","zhaiyao_en":"With the increasing intensity of climate change, the impacts caused by climate change are receiving more attention. As agricultural production is directly related to climate conditions, most scholars have investigated the profound effects of climate change on agriculture. In fact, industrial production is inevitably affected by climate change as well, but unfortunately, research in this area is relatively scarce. Only few studies have focused on the perspective of enterprise production, and there is rare exploration of the impact of climate change on micro-enterprises from the perspective of site selection.In order to expand the research perspective of existing literature, this paper uses Chinese meteorological data, Chinese industrial enterprise data, and relevant data from China City Statistical Yearbook to conduct in-depth analysis of the impact of temperature change on enterprise site selection decisions. Specifically, this paper adopts the methods of Hsiang (2010) and Deryugina and Hsiang (2014) to construct two variables, quarterly average temperature and temperature box, to measure temperature change. In addition, this paper examines the impact of extreme temperature on enterprise site selection decisions by using daily maximum temperature data to construct the variable of extreme temperature days. Then, referring to the method of Zhou Hao and Chen Yi (2013), the variable of newly established enterprises is constructed using the “year of establishment” information in Chinese industrial enterprise data, in order to measure enterprise site selection decisions. The study finds that enterprise site selection decisions are significantly influenced by temperature change. For example, an increase in average temperatures during summer and autumn and a decrease in average temperatures during winter would significantly reduce the number of newly established enterprises in the local area, and an increase in extreme temperature days would also have a significant negative impact on the number of newly established enterprises in the local area. Moreover, this impact varies by ownership type, industry type, and the level of economic development and temperature volatility. The mechanism test results indicate that temperature change primarily affects enterprise site selection decisions through two pathways: reducing the quantity and quality of labor supply in the region and enhancing environmental regulation.Compared with previous literature, this paper expands in several aspects: Firstly, it enriches the relevant literature on factors influencing enterprise site selection decisions. The existing literature mostly focuses on studying the factors influencing enterprise site selection decisions from the perspective of the enterprise itself or the external economic environment, with little attention to the influence of external climate factors on enterprise site selection decisions. This paper focuses on the climate change for in-depth research. Secondly, it complements the relevant research on the economic impacts of climate change. The existing research mostly analyzes it from the perspective of the overall economy or enterprise production. Yet no literature covers how climate change affects enterprise site selection decisions. This paper provides beneficial supplementation in this regard. Thirdly, it comprehensively constructs indicators to measure temperature change. This paper constructs three indicators (including quarterly average temperature, temperature box, and extreme temperature) to measure temperature change, which can accurately identify the impact of temperature change on enterprise site selection decisions. The research in this paper to a certain extent confirms that climate change will have a significant impact on the economy. For industrial enterprises, climate change will affect not only the production of existing enterprises, but also the site selection decisions of new enterprises. Therefore, it is urgent to address the issue of climate change. This paper provides empirical evidence for local governments to formulate climate change policies tailored to local conditions, which helps to raise awareness of government departments in dealing with the impacts of climate change.","bibtexUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=BibTeX&id=6852","abstractUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/10.11778/j.jnxb.20231110","zuoZheCn_L":"李卫兵, 陈思远","juanUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2023","lanMu_en":"","qiUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2023/V45/I11","zuoZhe_EN":"LI Weibing, CHEN Siyuan","risUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=Ris&id=6852","title_en":"On Whether Temperature Change Affects the Location of Enterprises with Enterprise-Level Micro Data Based on Emission Peak and Carbon Neutrality","hasPdf":"true"},"authorNotes_cn":["李卫兵、陈思远,华中科技大学经济学院。"]};if(window.metaData && (!window.metaData.authorNotesCommon_cn && !window.metaData.authorNotesCorresp_cn && window.metaData.authorNotes_cn)){window.metaData.authorNotesCommon_cn = window.metaData.authorNotes_cn;}if(window.metaData && (!window.metaData.authorNotesCommon_en && !window.metaData.authorNotesCorresp_en && window.metaData.authorNotes_en)){window.metaData.authorNotesCommon_en = window.metaData.authorNotes_en;}var _nlmdtdXml = $("#article_nlmdtdXml").val();var magDir = _nlmdtdXml.replace(/\/[^\/]+$/,'');window.metaData.magDir = magDir;new mag_vue({ el: '#metaVue', //dataUrl: mag_currentQikanUrl() + '/EN/article/getRichHtmlJson.do?articleId='+$("#articleId").val(), data:window.metaData, loading:true, doTextFun:function(text){ return doDataJsonText(text); 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来源：2023年第11期

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