What are the effects of different tax policies on China's coal-fired power generation industry? An empirical research from a network slacks-based measure perspective

Song, Wen; Bi, Gongbing; Wu, Jie; Yang, Feng

doi:10.1016/j.jclepro.2016.10.187

Cited by 42 publications

(15 citation statements)

References 38 publications

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“…Meanwhile, the transportation sector's energy consumption is 268.73Mt standard coal (6.98%), with 536.66Mt (6.57%) of CO 2 , 7000.87 Kt (24.54%) of NO 2 , 273.65 (15.59%) Kt of BC and 20326.41Kt (11.95%) of CO. Infrastructure investment and energy consumption will be further stimulated by the huge transportation demand (Cui and Li, 2014).Therefore, the agricultural, power, industrial, residential and transportation sectors are all expected to play an important role in the reduction of air pollutant emissions in China. In the context of complex regional atmospheric pollution along with traditional coal-based air pollution, investigation into China's baseline environmental efficiency by major socioeconomic sector and a demonstration of regions with higher environmental efficiency is of great importance for the success of nationwide persistent air pollution governance in China. Many studies are making an effort to incorporate data envelopment analysis (DEA) into the evaluation of environmental efficiency for China considering undesirable factors (see appendix Table A1) and are exploring environmental performance in different sectors, including agriculture (Lin and Fei, 2015;Lin, 2016, 2017), power generation (Zhou et al, 2013b;Bi et al, 2014;Lin and Yang, 2014;Song et al, 2017), industry (He et al, 2013;Zhou et al, 2013a;Wang and Wei, 2014;Wu et al, 2014;Bian et al, 2015;Xie et al, 2016) and transportation (Cui and Li, 2015;Liu et al, 2016;Song et al, 2016), in addition to limited research regarding the residential sector without involving China (Haas, 1997;Grösche, 2009).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM

Han

Guan

et al. 2018

Journal of Cleaner Production

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The increasingly high frequency of heavy air pollution in most regions of China signals the urgent need for the transition to an environmentally friendly production performance by socioeconomic sectors for the sake of people's health and sustainable development. Focusing on CO2 and major air pollutants, this paper presents a comprehensive environmental efficiency index based on evaluating the environmental efficiency of major socioeconomic sectors, including agriculture, power, industry, residential and transportation, at the province level in China in 2010 based on a slack-based measure DEA model with non-separable bad output and weights determined by the coefficient of variation method. In terms of the environment, 5, 16, 6, 7 and 4 provinces operated along the production frontier for the agricultural, power, industrial, residential and transportation sectors, respectively, in China in 2010, whereas Shanxi, Heilongjiang, Ningxia, Hubei and Yunnan showed lowest efficiency correspondingly. The comprehensive environmental efficiency index varied from 0.3863 to 0.9261 for 30 provinces in China, with a nationwide average of 0.6383 in 2010; Shanghai ranked at the top, and Shanxi was last. Regional disparities in environmental efficiency were identified. A more detailed inefficiency decomposition and benchmarking analysis provided insight for understanding the source of comprehensive environmental inefficiency and, more specifically, the reduction potential for CO2 and air pollutants. Some specific research and policy implications were uncovered from this work

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Section: Accepted Manuscriptmentioning

confidence: 99%

The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM

Han

Guan

et al. 2018

Journal of Cleaner Production

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“…Song et al. () adopt the slacks‐based measure to analyze China's tax policies in coal‐fired power generation industry. These studies consider the impact of carbon tax and export rebate on firms' sourcing strategies in an export context, while our work studies how the import tariff affects an MNF's sourcing strategy under quality competition with a DM.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality spillover, tariff, and multinational firms' local sourcing strategies

Niu

Chen

2018

Int Trans Operational Res

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It is prevalent for multinational firms (MNFs) to enter a market by importing products of superior quality, and then engage in local competition with domestic manufacturers (DMs). Alternatively, many MNFs voluntarily expose themselves to the risk of quality spillover by strategically sourcing from DMs to avoid the tariff burden. In this paper, we consider a DM and an MNF that strategically choose whether to source from the DM, and characterize the tradeoff between the tariff burden and the potential loss due to quality spillover. We analyze the supply chain parties' preferences over the MNF's sourcing strategies and the impact of the government's tariff regulation. We show that the MNF prefers domestic sourcing (DS) when the risk of quality spillover is low, while the manufacturer usually sees an opposite preference. However, we find that there exists a win‐win zone where both MNF and DM prefer the MNF's domestic sourcing simultaneously. From the government's perspective, DS always results in more output of high‐quality products, and more social welfare when quality spillover is sufficiently valuable. Interestingly, we find that, even if the quality spillover is limited, more social welfare can be obtained under DS, if the tariff rate is either low or high. The government is hence able to facilitate the incentive alignment between the MNF and the DM by adjusting the tariff regulation, which improves product quality and social welfare in the domestic market, although there exist some danger zones where the regulation is inefficient.

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“…Based on a centralized control organization mechanism, Zhou et al [44] model random variables based on a simple two-stage structure, in which all the outputs of the first stage are used as the only inputs of the second stage. However, the structure of production process in real-life world is too complex to evaluate by using existing stochastic two-stage DEA model, such as Song et al [45], Chu et al [46] and Bi et al [47]. The stochastic two-stage DEA of Zhou et al [44] is also a radial model.…”

Section: Introductionmentioning

confidence: 99%

A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems

2020

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In recent decades, the high-speed development in China has caused serious air pollution in China. The present paper proposes a stochastic data envelopment analysis (DEA) model based on a general two-stage structure with comprehensively considering the randomness in both desirable and undesirable outputs to calculate the environmental efficiency of the industry system. The new proposed model is more applicable to practical system, and is applied to evaluate the performance of production and waste gas treatment in the industrial sector for China's regions along the "One Belt and One Road" in 2015. The results show that about half of the regions along "One Belt and One Road" in China are inefficient, where the performance on waste gas treatment is significantly worse than that of industrial production. Further, the managers should take different strategies for efficiency improvement in different areas because of the obvious differences in efficiency scores, in which the regions in the southeast area should pay more attention to improving waste gas treatment efficiency while that in the northwest area need to focus on industrial production efficiency.

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What are the effects of different tax policies on China's coal-fired power generation industry? An empirical research from a network slacks-based measure perspective

Cited by 42 publications

References 38 publications

The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM

The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM

Quality spillover, tariff, and multinational firms' local sourcing strategies

A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems

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