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首页> 外文期刊>Journal of Cleaner Production >Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis
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Spatiotemporal characteristics and influential factors of eco-efficiency in Chinese prefecture-level cities: A spatial panel econometric analysis

机译：中国县级城市生态效率的时空特征及影响因素：空间面板计量计量分析

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摘要

Eco-efficiency, which emphasizes the significance of balancing the relationship between resource input, environmental pollution, and economic growth, has aroused extensive attention worldwide. China has seen profound economic growth in the past several decades, however, this has led to challenges for energy consumption growth and environmental issues (e.g., PM2.5 concentration). Improving eco-efficiency plays an important role in achieving sustainable development in China. Here, a novel evaluation framework of eco-efficiency is established by collecting satellite-derived data. Then, a hybrid distance model, named S-EBM with undesirable outputs, is applied to measure the eco-efficiency of Chinese 283 prefecture-level cities during the period 2003-2013. Finally, the spatial externality of eco-efficiency and its driving factors are examined by using a spatial Durbin model. Given that our results show the robustness in different spatial matrix settings, the research framework is applicable to the similar areas out of China (e.g., India). The empirical results show that: (1) eco-efficiency exhibits, by and large, a geographical gradual decrease trend from relatively developed areas to developing areas, however, a few exceptions indicate that a higher economic development level does not necessarily lead to a greater eco-efficiency, and vice versa; (2) estimation results of Moran's I index and hotspot analysis suggest that positive spatial autocorrelation of eco-efficiency is gradually increasing and the spatial distribution of statistically significant high and low agglomerations is changing over time; (3) The estimation results of the spatial Durbin model show that an increase in eco-efficiency in surrounding cities will improve the value of eco-efficiency in local cities; (4) The spatial externality of explanatory variables is also found, in which financial development, foreign direct investment, environmental regulation, and spatial urbanization level in neighboring cities impact the eco-efficiency in local cities. (C) 2020 Published by Elsevier Ltd.
机译：生态效率强调了平衡资源投入，环境污染和经济增长之间关系的重要性，在全球范围内引起了广泛的关注。中国在过去的几十年中看到了深刻的经济增长，然而，这导致能源消费增长和环境问题的挑战（例如，PM2.5浓度）。提高生态效率在实现中国可持续发展方面发挥着重要作用。这里，通过收集卫星衍生的数据建立新的生态效率的评估框架。然后，应用了具有不希望的输出的混合距离，名为S-EBM，以衡量2003 - 2013年期间汉语283级城市的生态效率。最后，通过使用空间德国模型来检查生态效率的空间外部性及其驱动因子。鉴于我们的结果显示了不同空间矩阵设置的鲁棒性，研究框架适用于中国的类似领域（例如，印度）。经验结果表明：（1）生态效率展品，BY和大，从相对发达地区到发展领域的地理逐步减少趋势，但是，一些例外表明，更高的经济发展水平并不一定导致更大生态效率，反之亦然; （2）估计莫兰的I指数和热点分析结果表明，生态效率的积极空间自相关性逐渐增加，统计上显着的高和低聚的空间分布随着时间的推移而变化; （3）空间德宾模型的估计结果表明，周围城市的生态效率的增加将提高当地城市的生态效率的价值; （4）还发现了解释性变量的空间外部性，其中邻近城市的金融发展，外国直接投资，环境监管和空间城市化水平影响了当地城市的生态效率。 （c）2020由elestvier有限公司发布

著录项

  • 来源
    《Journal of Cleaner Production》 |2020年第jul1期|120787.1-120787.11|共11页
  • 作者

    Ren Yufei; Fang Chuanglin; Li Guangdong;

  • 作者单位

    Chinese Acad Sci Inst Geog Sci & Nat Resources Key Lab Reg Sustainable Dev Modeling Res IGSNRR 11A Datun Rd Beijing 100101 Peoples R China|Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Key Lab Reg Sustainable Dev Modeling Res IGSNRR 11A Datun Rd Beijing 100101 Peoples R China|Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Key Lab Reg Sustainable Dev Modeling Res IGSNRR 11A Datun Rd Beijing 100101 Peoples R China|Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Eco-efficiency; Spillover effect; Super epsilon-based measure model (S-EBM); Influential factors; Spatial Durbin model; China;

    机译：生态效率;溢出效应;超级epsilon的措施模型（S-EBM）;有影响的因素;空间德宾模型;中国;

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