Urban agglomeration economies and industrial energy efficiency

Han, Feng; Xie, Rui; Fang, Jiayu

doi:10.1016/j.energy.2018.07.163

Cited by 123 publications

(43 citation statements)

References 29 publications

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“…These results are similar to those obtained in Jiang, Folmer, Ji, and Zhou [49], Huang, Du, and Hao [48], and Han, Xie, and Fang [50], where an increase in the participation of the secondary sector in the total economic activity generated an increase in energy consumption for the Chinese regions analyzed in the period 2000-2017, in the spatial panel model. However, they are the opposite to those found in Hao and Peng [51], where an increase in this participation was not statistically significant in the variant of the estimated Spatial Durbin Model.…”

Section: Resultssupporting

confidence: 88%

“…Finally, there is a set of studies, mainly for Chinese regions, where the spatial "spills" of the secondary or manufacturing industry in energy consumption are analyzed from a spatial perspective. In this context, the works of Jiang, Folmer, and Ji [47], Huang, Du, and Hao [48], Jiang, Folmer, Ji, and Zhou [49], and Han, Xie, and Fang [50] stand out, where it is evident that an increase in the participation of the secondary sector in the total production of these regions caused an increase in energy consumption in the period 2000-2017; and of Hao and Peng [51], where an increase in such participation did not contribute significantly to energy savings. Similarly, Liu, Lin, Hu, Lu, and Cai [52], mention that energy consumption in the East of China is affected by the energy consumption of the Central Region of China.…”

Section: Review Of Previous Literaturementioning

confidence: 99%

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Economic and Spatial Determinants of Energy Consumption in the European Union

et al. 2019

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In recent decades, various policies have been implemented to reduce energy consumption, as well as a considerable increase in research that analyzes the determinants of energy consumption, both with a standard feature, mitigating environmental degradation. However, few studies investigate the economic and spatial determinants of energy consumption in the European Union (EU). Therefore, to cover the knowledge gap, based on the review of the existing literature, this document is designed to analyze the determinants and energy policy in energy consumption in the EU. For this reason, the objective of this research is to analyze the effect of human capital, the price of oil, and Kyoto Protocol policy on energy consumption. In addition, the effect of contiguity and spatial concentration on energy consumption is studied for 34 European countries, of which 26 belong to the EU, for the period 2000–2016. For this, data collected from the World Bank (2017) and the World Energy Statistical Review (2017) were used. The work methodology is based on the application of econometric techniques for panel data, and spatial econometrics, based on the application of a Spatial Durbin Model (SDM), through which the existence of “spillovers” was determined in the implementation of the energy policy. The results of the estimates show a negative effect of the price of oil and human capital concerning energy consumption, and the variable "Policy" reflects a reduction in the energy consumption of the EU countries in the period analyzed. Additionally, the space panel confirms that the behavior of a country's energy consumption depends on its past values and the level of consumption presented by its neighbors, corroborating the importance of territorial contiguity in the success of environmental policy in the case of the European Union.

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Section: Resultssupporting

confidence: 88%

Section: Review Of Previous Literaturementioning

confidence: 99%

Economic and Spatial Determinants of Energy Consumption in the European Union

et al. 2019

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“…[30] demonstrated the positive relationship between industrial clustering and economic development in East Asia particularly in China. [31] pointed out that specialization and diversification agglomerations have significantly positive effects on reducing energy efficiencies of the city itself and neighboring cities. On the other hand, negative relationships have also been concluded in some empirical studies.…”

Section: Industrial Agglomerationmentioning

confidence: 99%

Does Urban Industrial Agglomeration Lead to the Improvement of Land Use Efficiency in China? An Empirical Study from a Spatial Perspective

et al. 2019

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Industrial agglomeration is an important economic phenomenon in urban areas and has significant effects on land use efficiency (LUE) due to external economies of scale. A bourgeoning body of literature has investigated the effects of industrial agglomeration. However, the relationship between industrial agglomeration and land use efficiency has rarely been discussed in China. To fill this gap, this study aims to explore the effects of industrial agglomeration on LUE and the characteristics of its spatial distribution. In this study, the spatial effects of industrial agglomeration of 12 detailed sectors on LUE are estimated through the geographical weighted regression model. Socioeconomic data of 289 prefecture-level cities in China are utilized for the analysis. Results show several important findings. First, spatial effects of industrial agglomerations on LUE are evident in three grand city clusters, i.e. the Beijing–Tianjin–Hebei Region, the Yangtze River Delta, and the Pearl River Delta. Second, spatial patterns and distributions of industrial agglomeration effects on LUE vary across regions. Third, the significance of industrial agglomeration effects on LUE between 2-digit industrial sectors is different. The merits of this study lie in three aspects: First, a theoretical framework is explored to analyze the impacts of industrial agglomeration on LUE based on the expanded Cobb–Douglas production function; Second, the impacts of industrial sectors on LUE are estimated from a spatial perspective; Third, some policy implications for a more economically efficient urban spatial development are suggested.

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“…There has been a rich empirical literature on agglomeration externalities [ 28 ], such as the meta-analysis of agglomeration economies provided previously [ 29 ]. Specifically, several empirical studies focus on agglomeration and economic growth [ 30 ], agglomeration and environmental performance [ 31 ], agglomeration and firm productivity [ 32 ], and agglomeration and energy efficiency [ 33 , 34 ]. While the results from the above-mentioned studies have important implications on the relationship between agglomeration externalities and eco-efficiency, the latter is an aggregation indicator simultaneously considering three fundamental perspectives: economic growth, environmental pollution, and resources utilization.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China

Yun

Miao

2018

IJERPH

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Ecological efficiency (eco-efficiency) reflects the synergetic degree of the development of resource, economic, and environmental systems. This paper measures urban eco-efficiency based on a nonconvex metafrontier data envelopment analysis (DEA) approach using data from 191 cities in China during the years of 2003 to 2013. In particular, the impacts of dynamic agglomeration externalities on urban eco-efficiency are investigated. Our empirical results show that eco-efficiency decreased from 2003 to 2013, and its spatial distribution demonstrates significant regional heterogeneity. Additionally, there exists an inverted U-shape relationship between dynamic externalities, including Marshall-Arrow-Romer (MAR), Jacobs and Porter externalities, and eco-efficiency. We also find that eco-efficiency can be enhanced by strengthening environmental regulations, optimizing industrial structures, and improving technological capacity. These findings are robust to alternative eco-efficiency measures, model specifications, and estimation approaches. Furthermore, we discuss related policy implications of our research results.

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Urban agglomeration economies and industrial energy efficiency

Cited by 123 publications

References 29 publications

Economic and Spatial Determinants of Energy Consumption in the European Union

Economic and Spatial Determinants of Energy Consumption in the European Union

Does Urban Industrial Agglomeration Lead to the Improvement of Land Use Efficiency in China? An Empirical Study from a Spatial Perspective

Impacts of Dynamic Agglomeration Externalities on Eco-Efficiency: Empirical Evidence from China

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