Does industrial transfer within urban agglomerations promote dual control of total energy consumption and energy intensity?

Li, Yanmei; Sun, Lishan; Zhang, Hongli; Liu, Tingting; Fang, Kai

doi:10.1016/j.jclepro.2018.08.342

Cited by 55 publications

(27 citation statements)

References 29 publications

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“…The 5 Gtce national energy cap forms the basis of provincial energy caps, and all provincial-level governments, with the exception of Tibet, were assigned one ( Table 3). The ECTRS evaluation system has been slightly modified to accommodate the introduction of the new targets-provincial governments are now required to fulfill both energy intensity and total energy consumption targets under the so-called "dual control" approach [55]. Following the practice of the 12th FYP, the poorer inland provinces received more generous caps than the eastern seaboard provinces.…”

Section: The 13th Fyp and The Reform Of Ectrsmentioning

confidence: 99%

Governing energy consumption in China: a comprehensive assessment of the energy conservation target responsibility system

2020

Energy Transit

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The governance of energy consumption in China is of environmental significance from the standpoints of preventing local air pollution and global climate change. At the heart of China's energy governance system is the energy conservation target responsibility system (ECTRS). This article examines this important governance instrument from three key aspects. First, it explains the role of the ECTRS in China's authoritarian yet decentralized governance system. Second, it traces the development of the ECTRS over the last decade, with a specific focus on the reforms introduced in the 13th 5-Year Plan (2016-2020), particularly the energy caps. Third, it analyzes the limitations of the ECTRS and provides a policy outlook in the context of growing domestic and international interests in energy conservation.

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Section: The 13th Fyp and The Reform Of Ectrsmentioning

confidence: 99%

Governing energy consumption in China: a comprehensive assessment of the energy conservation target responsibility system

2020

Energy Transit

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“…Thus, the direct effect, the total effect and the indirect effect of variable x s can be respectively calculated by Formulas (15)- (17):…”

Section: Decomposition Of Spatial Effectsmentioning

confidence: 99%

“…Compared with the existing energy efficiency indicators, one of the main advantages of EIWB is that EIWB provides a new perspective of thinking and research. EI and TFEE both define energy efficiency as the relationship between energy input and economic output [15][16][17], while economic output cannot be simply equal to the health status and well-being of residents [18]. In other words, at the beginning of design, EI and TFEE did not highlight that the ultimate goal of economic development is to achieve development of human being.…”

Section: Introductionmentioning

confidence: 99%

Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors

Long

Zhang

Chen

et al. 2020

IJERPH

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Current energy efficiency indicators (such as energy intensity) do not properly reflect the inherent relationship between “energy-environment-health”. Therefore, this study introduces the indicator of energy intensity of human well-being (EIWB) to depict the efficiency problem between energy consumption and residents’ health. In this paper, panel data of 30 provinces in mainland China from 2005 to 2016 is used to calculate the EIWB of each province and analyze its spatial distribution. Moreover, the effect of influencing factors on EIWB is investigated by using the spatial Durbin model. The results show that: (1) The EIWB presents a spatial agglomeration. The provinces with high EIWB mostly cluster in the northern China. (2) Industrial structure and energy structure have positive effects on EIWB in local area through increasing energy consumption and damaging residents’ health. (3) The effect of urbanization and income on local EIWB is significantly positive because it will promote energy consumption. (4) Industrial structure, health expenditure, foreign direct investment and technological progress have spatial spillover effects due to its significant impact on residents’ health in neighboring areas. Based on conclusions, the corresponding policy recommendations are proposed.

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“…However, it is obvious that the Chinese government needs to further improve its regional energy consumption control policy. At present, while making regional "double control" policies, China's central government often adopts top-down national goal requirements and uses bottom-up regional independent commitments to determine policy targets [22]. In the context of the implementation effect of these policy targets, the current policy targets for various regions have not been very effective, and more scientific methods are urgently needed to support a policy improvement.…”

Section: Introductionmentioning

confidence: 99%

How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method

et al. 2021

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Controlling energy consumption to reduce greenhouse gas emissions has become a global consensus in response to the challenge of climate change. Most studies have focused on energy consumption control in a single region; however, high-resolution analysis of energy consumption and personalized energy policy-making, for multiple regions with differentiated development, have become a complicated challenge. Using the logarithmic mean Divisia index I (LMDI) decomposition method based on energy allocation analysis (EAA), this paper aims to establish a standard paradigm for a high-resolution analysis of multi-regional energy consumption and provide suggestions for energy policy-making, taking 29 provinces of China as the sample. The process involved three steps: (1) determination of regional priorities of energy consumption control by EAA, (2) revealing regional disparity among the driving forces of energy consumption growth by LMDI, and (3) deriving policy implications by comparing the obtained results with existing policies. The results indicated that 29 provinces can be divided into four groups, with different priorities of energy consumption control according to the patterns of coal flows. Most provinces have increasing levels of energy consumption, driven by increasing per capita GDP and improving living standards, while its growth is restrained by decreasing end-use energy intensity, improving energy supply efficiency, and optimization of industrial structures. However, some provinces are not following these trends to the same degree. This indicates that policy-makers must pay more attention to the different driving mechanisms of energy consumption growth among provinces.

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Does industrial transfer within urban agglomerations promote dual control of total energy consumption and energy intensity?

Cited by 55 publications

References 29 publications

Governing energy consumption in China: a comprehensive assessment of the energy conservation target responsibility system

Governing energy consumption in China: a comprehensive assessment of the energy conservation target responsibility system

Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors

How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method

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