soraya khodadadi, M. Pahlavani, Ramezan Hossein zadeh
{"title":"伊朗各省产业结构变化对二氧化碳排放的影响:一个空间计量方法","authors":"soraya khodadadi, M. Pahlavani, Ramezan Hossein zadeh","doi":"10.52547/envs.2021.36979","DOIUrl":null,"url":null,"abstract":"The effect of changes in industrial structure on carbon dioxide emissions in Iranian provinces: A spatial econometric approach. Environmental Sciences. 20(1): 221-236. thirty the stationarity of spatial with spatial random effects. significant; If GDP per capita increases by 1%, carbon dioxide emissions will increase by 0.22 %. The effect of energy intensity on carbon dioxide emissions was positive and significant; If the energy intensity increases by 1%, carbon dioxide emissions will increase by 0.06 %. The effect of population on carbon dioxide emissions was positive and significant; If the population increases by 1%; emissions of carbon dioxide will increase by 0.95%. The effect of changes in industrial structure on carbon dioxide emissions has been negative. This means that the industrial structure in different provinces has changed in order to reduce carbon dioxide emissions, although the contribution of these changes in reducing this pollutant was small. On the other hand, the spatial impact of industrial structure changes on carbon dioxide emissions was negative and significant. The coefficient related to the effects of industrial overflow showed that if the index of changes in the industrial structure increases by 1%, carbon dioxide emissions in adjacent areas will decrease by 0.03 %. Conclusion: Model estimation has shown that the restructuring of industry has a direct and negative effect on carbon emissions in the provinces. This indicates that the structure of the industry in different provinces has changed to industries with lower carbon dioxide emissions. One of the reasons for this could be the increase in the share of sub-sectors of the industry that have low energy consumption. Another reason for this could be the increase in the share of sectors that use fossil fuels with less pollution. Other results of the model have shown that the change in the structure of production in the industrial sector of the provinces has had indirect effects (spillovers) on the production of the provinces. Based on the results of the model, it is suggested that policies be adopted to transfer factors and resources from low-efficiency sectors to high-efficiency sectors. Also, energy efficiency policies in high-energy intensive industrial sectors and sub-sectors that use high-emission fossil fuels such as diesel and fuel oil should be considered.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effect of changes in industrial structure on carbon dioxide emissions in Iranian provinces: A spatial econometric approach\",\"authors\":\"soraya khodadadi, M. Pahlavani, Ramezan Hossein zadeh\",\"doi\":\"10.52547/envs.2021.36979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of changes in industrial structure on carbon dioxide emissions in Iranian provinces: A spatial econometric approach. Environmental Sciences. 20(1): 221-236. thirty the stationarity of spatial with spatial random effects. significant; If GDP per capita increases by 1%, carbon dioxide emissions will increase by 0.22 %. The effect of energy intensity on carbon dioxide emissions was positive and significant; If the energy intensity increases by 1%, carbon dioxide emissions will increase by 0.06 %. The effect of population on carbon dioxide emissions was positive and significant; If the population increases by 1%; emissions of carbon dioxide will increase by 0.95%. The effect of changes in industrial structure on carbon dioxide emissions has been negative. This means that the industrial structure in different provinces has changed in order to reduce carbon dioxide emissions, although the contribution of these changes in reducing this pollutant was small. On the other hand, the spatial impact of industrial structure changes on carbon dioxide emissions was negative and significant. The coefficient related to the effects of industrial overflow showed that if the index of changes in the industrial structure increases by 1%, carbon dioxide emissions in adjacent areas will decrease by 0.03 %. Conclusion: Model estimation has shown that the restructuring of industry has a direct and negative effect on carbon emissions in the provinces. This indicates that the structure of the industry in different provinces has changed to industries with lower carbon dioxide emissions. One of the reasons for this could be the increase in the share of sub-sectors of the industry that have low energy consumption. Another reason for this could be the increase in the share of sectors that use fossil fuels with less pollution. Other results of the model have shown that the change in the structure of production in the industrial sector of the provinces has had indirect effects (spillovers) on the production of the provinces. Based on the results of the model, it is suggested that policies be adopted to transfer factors and resources from low-efficiency sectors to high-efficiency sectors. Also, energy efficiency policies in high-energy intensive industrial sectors and sub-sectors that use high-emission fossil fuels such as diesel and fuel oil should be considered.\",\"PeriodicalId\":11919,\"journal\":{\"name\":\"Environmental Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52547/envs.2021.36979\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52547/envs.2021.36979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The effect of changes in industrial structure on carbon dioxide emissions in Iranian provinces: A spatial econometric approach
The effect of changes in industrial structure on carbon dioxide emissions in Iranian provinces: A spatial econometric approach. Environmental Sciences. 20(1): 221-236. thirty the stationarity of spatial with spatial random effects. significant; If GDP per capita increases by 1%, carbon dioxide emissions will increase by 0.22 %. The effect of energy intensity on carbon dioxide emissions was positive and significant; If the energy intensity increases by 1%, carbon dioxide emissions will increase by 0.06 %. The effect of population on carbon dioxide emissions was positive and significant; If the population increases by 1%; emissions of carbon dioxide will increase by 0.95%. The effect of changes in industrial structure on carbon dioxide emissions has been negative. This means that the industrial structure in different provinces has changed in order to reduce carbon dioxide emissions, although the contribution of these changes in reducing this pollutant was small. On the other hand, the spatial impact of industrial structure changes on carbon dioxide emissions was negative and significant. The coefficient related to the effects of industrial overflow showed that if the index of changes in the industrial structure increases by 1%, carbon dioxide emissions in adjacent areas will decrease by 0.03 %. Conclusion: Model estimation has shown that the restructuring of industry has a direct and negative effect on carbon emissions in the provinces. This indicates that the structure of the industry in different provinces has changed to industries with lower carbon dioxide emissions. One of the reasons for this could be the increase in the share of sub-sectors of the industry that have low energy consumption. Another reason for this could be the increase in the share of sectors that use fossil fuels with less pollution. Other results of the model have shown that the change in the structure of production in the industrial sector of the provinces has had indirect effects (spillovers) on the production of the provinces. Based on the results of the model, it is suggested that policies be adopted to transfer factors and resources from low-efficiency sectors to high-efficiency sectors. Also, energy efficiency policies in high-energy intensive industrial sectors and sub-sectors that use high-emission fossil fuels such as diesel and fuel oil should be considered.