{"title":"可持续发展目标中产业发展与环境保护维度的相互作用:来自40个不同收入水平国家的证据","authors":"Suyu Liu","doi":"10.2478/environ-2020-0018","DOIUrl":null,"url":null,"abstract":"Abstract This article explores the interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs). In consideration of the suitability and data availability, this article uses the SDG indicators 9.2.1 (manufacturing value-added per capita) and 12.4.1 (E-waste per capita) as the two indicators to reflect industrial development and environmental protection under the SDGs framework. Based on a cross-country data source, this article examines the correlation between manufacturing value-added per capita and E-waste per capita in forty countries across four income levels as defined by the World Bank. The results show that the manufacturing value-added per capita and E-waste per capita increase with the countries’ income levels. In addition, the positive correlation between manufacturing value-added per capita and electronic waste (E-waste_ per capita) becomes weaker with the increase of the countries’ income levels, and for high-income countries the correlation turns negative. This provides evidence to partially support the Environmental Kuznets Curve, which demonstrates the ‘inverted-U shape’ relationship between economic development and environmental protection. It also generates a number of implications on the monitoring and management of SDG indicators. In consideration of the interactions between different SDGs (including targets and indicators), a holistic, multi-disciplinary, and cross-departmental management and monitoring of SDG indicators is recommended.","PeriodicalId":54005,"journal":{"name":"Environmental & Socio-Economic Studies","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs): Evidence from 40 countries with different income levels\",\"authors\":\"Suyu Liu\",\"doi\":\"10.2478/environ-2020-0018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This article explores the interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs). In consideration of the suitability and data availability, this article uses the SDG indicators 9.2.1 (manufacturing value-added per capita) and 12.4.1 (E-waste per capita) as the two indicators to reflect industrial development and environmental protection under the SDGs framework. Based on a cross-country data source, this article examines the correlation between manufacturing value-added per capita and E-waste per capita in forty countries across four income levels as defined by the World Bank. The results show that the manufacturing value-added per capita and E-waste per capita increase with the countries’ income levels. In addition, the positive correlation between manufacturing value-added per capita and electronic waste (E-waste_ per capita) becomes weaker with the increase of the countries’ income levels, and for high-income countries the correlation turns negative. This provides evidence to partially support the Environmental Kuznets Curve, which demonstrates the ‘inverted-U shape’ relationship between economic development and environmental protection. It also generates a number of implications on the monitoring and management of SDG indicators. In consideration of the interactions between different SDGs (including targets and indicators), a holistic, multi-disciplinary, and cross-departmental management and monitoring of SDG indicators is recommended.\",\"PeriodicalId\":54005,\"journal\":{\"name\":\"Environmental & Socio-Economic Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental & Socio-Economic Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/environ-2020-0018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental & Socio-Economic Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/environ-2020-0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 13
摘要
摘要本文探讨了可持续发展目标(SDGs)中产业发展与环境保护维度之间的互动关系。考虑到适用性和数据可得性,本文采用SDG指标9.2.1(人均制造业增加值)和12.4.1(人均电子垃圾)作为SDG框架下反映产业发展和环境保护的两个指标。基于跨国数据源,本文研究了世界银行定义的四个收入水平的40个国家的人均制造业增加值与人均电子废物之间的相关性。结果表明,人均制造业增加值和人均电子废弃物随着国家收入水平的提高而增加。此外,人均制造业增加值与电子废弃物(E-waste_ per capita)的正相关关系随着国家收入水平的提高而减弱,高收入国家的相关关系变为负相关。这为环境库兹涅茨曲线提供了部分证据,该曲线显示了经济发展与环境保护之间的“倒u形”关系。它还对可持续发展目标指标的监测和管理产生了一些影响。考虑到不同可持续发展目标(包括目标和指标)之间的相互作用,建议对可持续发展目标指标进行整体、多学科、跨部门的管理和监测。
Interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs): Evidence from 40 countries with different income levels
Abstract This article explores the interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs). In consideration of the suitability and data availability, this article uses the SDG indicators 9.2.1 (manufacturing value-added per capita) and 12.4.1 (E-waste per capita) as the two indicators to reflect industrial development and environmental protection under the SDGs framework. Based on a cross-country data source, this article examines the correlation between manufacturing value-added per capita and E-waste per capita in forty countries across four income levels as defined by the World Bank. The results show that the manufacturing value-added per capita and E-waste per capita increase with the countries’ income levels. In addition, the positive correlation between manufacturing value-added per capita and electronic waste (E-waste_ per capita) becomes weaker with the increase of the countries’ income levels, and for high-income countries the correlation turns negative. This provides evidence to partially support the Environmental Kuznets Curve, which demonstrates the ‘inverted-U shape’ relationship between economic development and environmental protection. It also generates a number of implications on the monitoring and management of SDG indicators. In consideration of the interactions between different SDGs (including targets and indicators), a holistic, multi-disciplinary, and cross-departmental management and monitoring of SDG indicators is recommended.