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{"title":"Research on driving factors and efficiency measures of low-carbon levels in less-developed regions: A case of Western China","authors":"Minxi Wang, Nuo Lu, Lu Liu, Lu Chen, Xin Li","doi":"10.1002/ghg.2281","DOIUrl":null,"url":null,"abstract":"<p>The far-reaching impacts of climate change have further strengthened the determination of governments around the world to pursue low-carbon development, and low-carbon efficiency in less developed regions has become a “shortcoming” in realizing low-carbon aspirations. We analyze the carbon emission efficiency (CEE) and its temporal evolution in less-developed regions in developing countries, such as Western China. The differentiation of Western China was evaluated in terms of spatial and influencing factors through the Theil index and the logarithmic mean divisia index (LMDI), and the innovative use of GDP gold content (GDP<sub>gc</sub>) to represent the absolute economic level in the Theil index. Considering the net carbon emissions (NCE) are undesirable outputs, the GDP<sub>gc</sub> is taken as the desired output. The Un-Super-SBM-CRS method obtained the net carbon emission efficiency (NCEE) values. The results show that: (1) Western regions’ NCE differences can be categorized as high per capita NCE areas (more than 25 tons), medium per capita NCE areas (10–25 tons), and low per capita NCE areas (0–10 tons). (2) The per capita-based T (Theil index) and the GDP<sub>gc</sub> are comparable and “intra-group convergence and inter-group differentiation” can be used to describe intra-regional and inter-regional NCE differences. (3) Both the level of the economy and the level of urban development are drivers of the 11 domains, and the level of the economy is driven more than the level of urban development overall. There are significant regional differences in other factors. (4) The NCEs and their evolutionary trends in each region can be divided into single-variable and fluctuating-variable. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.</p>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"14 3","pages":"526-545"},"PeriodicalIF":2.7000,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Greenhouse Gases: Science and Technology","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ghg.2281","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
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Abstract
The far-reaching impacts of climate change have further strengthened the determination of governments around the world to pursue low-carbon development, and low-carbon efficiency in less developed regions has become a “shortcoming” in realizing low-carbon aspirations. We analyze the carbon emission efficiency (CEE) and its temporal evolution in less-developed regions in developing countries, such as Western China. The differentiation of Western China was evaluated in terms of spatial and influencing factors through the Theil index and the logarithmic mean divisia index (LMDI), and the innovative use of GDP gold content (GDPgc ) to represent the absolute economic level in the Theil index. Considering the net carbon emissions (NCE) are undesirable outputs, the GDPgc is taken as the desired output. The Un-Super-SBM-CRS method obtained the net carbon emission efficiency (NCEE) values. The results show that: (1) Western regions’ NCE differences can be categorized as high per capita NCE areas (more than 25 tons), medium per capita NCE areas (10–25 tons), and low per capita NCE areas (0–10 tons). (2) The per capita-based T (Theil index) and the GDPgc are comparable and “intra-group convergence and inter-group differentiation” can be used to describe intra-regional and inter-regional NCE differences. (3) Both the level of the economy and the level of urban development are drivers of the 11 domains, and the level of the economy is driven more than the level of urban development overall. There are significant regional differences in other factors. (4) The NCEs and their evolutionary trends in each region can be divided into single-variable and fluctuating-variable. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.
欠发达地区低碳水平的驱动因素与增效措施研究:以中国西部为例
气候变化的深远影响进一步坚定了世界各国政府追求低碳发展的决心,欠发达地区的低碳效率成为实现低碳愿望的 "短板"。我们分析了发展中国家欠发达地区(如中国西部)的碳排放效率(CEE)及其时间演变。通过 Theil 指数和对数平均除法指数(LMDI),从空间和影响因素两方面对中国西部地区的差异化进行了评估,并在 Theil 指数中创新性地使用国内生产总值含金量(GDPgc)来代表绝对经济水平。考虑到净碳排放量(NCE)是不理想的产出,因此将 GDPgc 作为理想产出。Un-Super-SBM-CRS 方法获得了净碳排放效率(NCEE)值。结果表明(1) 西部地区的净碳排放效率差异可分为高人均净碳排放效率地区(25 吨以上)、中人均净碳排放效率地区(10-25 吨)和低人均净碳排放效率地区(0-10 吨)。(2) 基于人均的 T(Theil 指数)和 GDPgc 具有可比性,可以用 "组内趋同和组间分化 "来描述区域内和区域间的 NCE 差异。(3) 经济水平和城市发展水平都是 11 个领域的驱动因素,总体上经济水平的驱动力大于城市发展水平。其他因素存在明显的地区差异。(4) 各地区的国家竞争性考试及其演变趋势可分为单一变量和波动变量。© 2024 化学工业协会和约翰-威利父子有限公司版权所有。
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