Can energy efficiency progress reduce PM2.5 concentration in China’s cities? Evidence from 105 key environmental protection cities in China, 2004–2015

Wang, Kaifeng; Zhao, Xinquan; Peng, Biyu; Zeng, Yongmei

doi:10.1016/j.jclepro.2020.125684

Cited by 10 publications

(5 citation statements)

References 26 publications

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“…Assuming that CO 2 emission intensity decreases by 3.9% from 2019 to 2020, based on the CO 2 emission intensity of 1.48 tons per 10,000 yuan in 2019, the CO 2 emission intensity in 2025 is 1.17 tons per 10,000 yuan, and the CO 2 emission limit in 2025 is 15.40 billion tons. (7) According to the synergistic effect equations of energy conservation and emission reduction [64] and the energy consumption intensity of 0.5156 tons per 10,000 yuan in 2020, we calculate that the emission intensities of SO 2 , NO X , and CO 2 in 2020 are 9.24 × 10 −4 , 1.518 × 10 −3 , and 1.4825 tons per 10,000 yuan respectively, and the SO 2 , NO X , and CO 2 emissions are 9.01 million tons, 14.70 million tons, and 13.78 billion tons, respectively. The SO 2 and NO X emissions from the synergistic effect are less than those from WPEE, and the CO 2 emissions from the synergistic effect is greater than that from WPGE.…”

Section: Methodsmentioning

confidence: 99%

“…Energy consumption is an important source of air pollutants and CO 2 emissions [1 -3]. By improving energy efficiency to reduce total energy consumption or reducing the proportion of high carbon energy to optimize the energy consumption structure, air pollutants and CO 2 emissions can be reduced simultaneously [4][5][6][7]. CO 2 emission reduction and air pollutant reduction also have synergistic effects and reducing either of them usually brings co-benefits [8,9].…”

Section: Introductionmentioning

confidence: 99%

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Provincial Allocation of Energy Consumption, Air Pollutant and CO2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model

Song

Chen

2022

Sustainability

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Air pollutants and CO2 emissions have a common important source, namely energy consumption. Considering fairness and efficiency, the provincial coordinated allocation of energy consumption, air pollutant emission, and carbon emission (EAC) quotas is of great significance to promote provincial development and achieve national energy conservation and emission reduction targets. A weighted environment zero-sum-gains data envelopment analysis (ZSG-DEA) model is constructed to optimize the efficiency of the initial provincial quotas under the fairness principle, so as to realize the fairness and efficiency of allocation. The empirical analysis in 2020 shows that the optimal allocation scheme proposed in this study is better than the national planning scheme in terms of fairness and efficiency, and the optimal scheme based on the initial allocation of priority order of “capacity to pay egalitarianism > historical egalitarianism > population egalitarianism” is the fairest. The optimal allocation scheme in 2025 can achieve absolute fairness. In this scheme, the pressures of energy conservation and emission reduction undertaken by different provinces vary greatly. The implementation of regional coordinated development strategies can narrow this gap and improve the enforceability of this scheme. Combined with the analysis of energy conservation and emission reduction in seven categories and three major national strategic regions, we put forward corresponding measures to provide decision support for China’s energy conservation and emission reduction.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Provincial Allocation of Energy Consumption, Air Pollutant and CO2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model

Song

Chen

2022

Sustainability

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“…For the first stage, multi-inputs and outputs shall be employed to evaluate the coupling or decoupling effects on energy and environment (E&E) analysis, based on the comparative results in Table 1. [4][5][6][7][8][9][10][11][12][13] Since the data envelope analysis (DEA) is the leading choice for handling multi-inputs/outputs models, our research utilizes this approach. It does not need any specific form of the production function for this multi-inputs/outputs model.…”

Section: Literature Review 21 Models and Variables Of The Environemnt...mentioning

confidence: 99%

Urbanization Paradox of Environmental Policies in Korean Local Governments

Choi

Lee

Jeong

et al. 2023

Land

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Many developing countries have been experiencing the problems of urbanization, particularly regarding carbon emission and polluted air emission mitigation. Is it possible to simultaneously achieve these two different clean and green economic strategies? This study analyzes this paradoxical issue of air pollution in terms of PM2.5 efficiency. To evaluate the performance of regulatory policies on air pollution and to find out the governance factors, this paper adopts the stepwise approach. In the first stage, we evaluate the cross-sectional PM2.5 efficiency of 16 Korean municipalities for the period between 2012 and 2017 and determine whether this performance is sustainable using the Malmquist Productivity Index (MPI). We concluded that most local governments lack sustainable governance on regulation policies for clean air. Using the Tobit model in the second stage, this study showed that regional economic development (GRDP) and an patent for clean air technology innovation are the most important strategic factors that promote sustainability in regulation policy performance.

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“…From the perspective of total factor productivity (TFP), Wang et al (2021) find that improvement in air quality in 105 Chinese cities leads to improvement in TFP. Soppelsa et al (2021), using a sample of African firms, report a negative association between air pollution and firm performance, which suggests that controlling air pollution can enhance a firm's overall productivity.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

Does air pollution change a firm's business strategy for employing capital and labor?

Liu

Chan

2021

Bus Strat Env

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We examine the impact of air pollution on a firm's capital-labor ratio. We propose the hypothesis that, in dealing with air pollution, a firm responds strategically by using relatively more capital and less labor to contain labor costs and remain competitive in the market. Using a sample of Chinese firms and a satellite-based air pollution metric, we test this hypothesis, and our results confirm it. In addition, we document that the impact of air pollution on the capital-labor ratio is more salient for firms with high economic incentives and close monitoring. Further, we report that to respond to worsening air pollution, a firm uses more capital and substitutes lower-quality labor with more high-quality labor. Finally, after increasing the capital-labor ratio, a firm's value increases, in terms of Tobin's Q, suggesting that the adoption of a higher capital-labor ratio, due to air pollution, is a sound business strategy.

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Can energy efficiency progress reduce PM2.5 concentration in China’s cities? Evidence from 105 key environmental protection cities in China, 2004–2015

Cited by 10 publications

References 26 publications

Provincial Allocation of Energy Consumption, Air Pollutant and CO2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model

Provincial Allocation of Energy Consumption, Air Pollutant and CO2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model

Urbanization Paradox of Environmental Policies in Korean Local Governments

Does air pollution change a firm's business strategy for employing capital and labor?

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