{"title":"孟加拉国的收入不平等与二氧化碳排放","authors":"Syeed Khan , Leanora Brown , Anupam Das","doi":"10.1016/j.wds.2025.100211","DOIUrl":null,"url":null,"abstract":"<div><div>The United Nations called for a holistic approach to successfully achieve the sustainable development goals. In this study, we examine the association between two of those sustainable development goals, namely income inequality and emissions. More specifically, we analyze if income inequality is dynamically related to per capita CO<sub>2</sub> emissions in Bangladesh. We apply the autoregressive distributed lags technique while accounting for other important factors including national income, price, and urbanization. The dataset used in this study covers the period from 1980 to 2021. The results suggest long run cointegrations, running from income inequality to CO<sub>2</sub> emissions. Importantly, a one percent increase in the income share of the top 1% tends to increase per capita CO<sub>2</sub> emissions by 0.52%. These findings are consistent with the political economy theory and the Veblen effect hyopthesis. We provide policy suggestions which are relevant to Bangladesh and other developing countries.</div></div>","PeriodicalId":101285,"journal":{"name":"World Development Sustainability","volume":"6 ","pages":"Article 100211"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On income inequality and CO2 emissions in Bangladesh\",\"authors\":\"Syeed Khan , Leanora Brown , Anupam Das\",\"doi\":\"10.1016/j.wds.2025.100211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The United Nations called for a holistic approach to successfully achieve the sustainable development goals. In this study, we examine the association between two of those sustainable development goals, namely income inequality and emissions. More specifically, we analyze if income inequality is dynamically related to per capita CO<sub>2</sub> emissions in Bangladesh. We apply the autoregressive distributed lags technique while accounting for other important factors including national income, price, and urbanization. The dataset used in this study covers the period from 1980 to 2021. The results suggest long run cointegrations, running from income inequality to CO<sub>2</sub> emissions. Importantly, a one percent increase in the income share of the top 1% tends to increase per capita CO<sub>2</sub> emissions by 0.52%. These findings are consistent with the political economy theory and the Veblen effect hyopthesis. We provide policy suggestions which are relevant to Bangladesh and other developing countries.</div></div>\",\"PeriodicalId\":101285,\"journal\":{\"name\":\"World Development Sustainability\",\"volume\":\"6 \",\"pages\":\"Article 100211\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Development Sustainability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772655X25000102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Development Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772655X25000102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On income inequality and CO2 emissions in Bangladesh
The United Nations called for a holistic approach to successfully achieve the sustainable development goals. In this study, we examine the association between two of those sustainable development goals, namely income inequality and emissions. More specifically, we analyze if income inequality is dynamically related to per capita CO2 emissions in Bangladesh. We apply the autoregressive distributed lags technique while accounting for other important factors including national income, price, and urbanization. The dataset used in this study covers the period from 1980 to 2021. The results suggest long run cointegrations, running from income inequality to CO2 emissions. Importantly, a one percent increase in the income share of the top 1% tends to increase per capita CO2 emissions by 0.52%. These findings are consistent with the political economy theory and the Veblen effect hyopthesis. We provide policy suggestions which are relevant to Bangladesh and other developing countries.