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

soraya khodadadi, M. Pahlavani, Ramezan Hossein zadeh
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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。环境科学,20(1):221-236。空间的平稳性具有空间随机效应。显著的;人均GDP每增长1%,二氧化碳排放量将增加0.22%。能源强度对二氧化碳排放的影响为显著正效应;能源强度每增加1%,二氧化碳排放量将增加0.06%。人口对二氧化碳排放量的影响为显著正相关;如果人口增长1%;二氧化碳排放量增长0.95%。产业结构变化对二氧化碳排放的影响为负。这意味着,为了减少二氧化碳排放,不同省份的产业结构发生了变化,尽管这些变化对减少二氧化碳排放的贡献很小。另一方面,产业结构变化对二氧化碳排放的空间影响呈显著负向。产业外溢效应相关系数表明,产业结构变化指数每增加1%,相邻区域的二氧化碳排放量将减少0.03%。结论:模型估计表明,产业结构调整对各省碳排放具有直接的负向影响。这说明不同省份的产业结构已经向二氧化碳排放量较低的产业转变。其中一个原因可能是低能耗的工业子部门份额的增加。另一个原因可能是使用污染较少的化石燃料的行业份额的增加。该模型的其他结果表明,各省工业部门生产结构的变化对各省的生产产生了间接影响(溢出效应)。根据模型的结果,建议采取政策措施,促进要素和资源从低效率部门向高效率部门转移。此外,应考虑在使用高排放化石燃料(如柴油和燃料油)的高能量密集型工业部门和分部门制定能源效率政策。
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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.
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