Top-runner incentive scheme in China: a theoretical and empirical study for industrial pollution control.
Economic incentive policy
Environmental performance
Incentive method
Pollution control
Selection standard
Top-runner
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
09
09
2020
accepted:
15
01
2021
pubmed:
10
2
2021
medline:
29
6
2021
entrez:
9
2
2021
Statut:
ppublish
Résumé
Pollution control policies have achieved remarkable results in China. However, industrial firms still lack enthusiasm for technological innovation to reduce pollution and endogenous motivation for controlling pollution, which pose severe obstacles to industrial pollution control. The top-runner scheme can stimulate the pollution control behaviors of firms to a certain extent. Therefore, the top-runner scheme is combined with economic incentive policies to design an appropriate incentive scheme in this paper, theoretical research is conducted on the selection standards and incentive methods, and four industries mainly responsible for pollution in a developed province of China are investigated as case studies. The results show that (1) the selection standard that stipulates the rewarded quotas instead of the discharge amount achieved higher emission reduction efficiency; (2) tax cuts are the best incentive for top-runners, and (3) the top-runner incentive scheme achieves a greater reduction effect in high-pollution industries than low-pollution industries. Value-added tax exemption for the top-runner, as determined by the rewarded quotas, contributes to increasing the enthusiasm from firms to participate in and improve pollution control measures.
Identifiants
pubmed: 33559077
doi: 10.1007/s11356-021-12561-1
pii: 10.1007/s11356-021-12561-1
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
29344-29356Subventions
Organisme : the Research Funds of Renmin University of China
ID : Project No. 17XNB025
Références
Allcott H, Knittel C, Taubinsky D (2015) Tagging and targeting of energy efficiency subsidies. Am Econ Rev 105:187–191. https://doi.org/10.1257/aer.p20151008
doi: 10.1257/aer.p20151008
Arguedas C, van Soest DP (2009) On reducing the windfall profits in environmental subsidy programs. J Environ Econ Manag 58:192–205. https://doi.org/10.1016/j.jeem.2009.04.002
doi: 10.1016/j.jeem.2009.04.002
Bahadur N, Bhargava N (2019) Novel pilot scale photocatalytic treatment of textile & dyeing industry wastewater to achieve process water quality and enabling zero liquid discharge. J Water Process Eng 32:100934. https://doi.org/10.1016/j.jwpe.2019.100934
doi: 10.1016/j.jwpe.2019.100934
Brown R, Webber C, Koomey JG (2002) Status and future directions of the Energy Star program. Energy 27:505–520. https://doi.org/10.1016/S0360-5442(02)00004-X
doi: 10.1016/S0360-5442(02)00004-X
Busch P, Jörgens H (2005) The international sources of policy convergence: explaining the spread of environmental policy innovations. J Eur Public Policy 12:860–884. https://doi.org/10.1080/13501760500161514
doi: 10.1080/13501760500161514
Changotra R, Rajput H, Guin JP, Khader SA, Dhir A (2020) Techno-economical evaluation of coupling ionizing radiation and biological treatment process for the remediation of real pharmaceutical wastewater. J Clean Prod 242:118544. https://doi.org/10.1016/j.jclepro.2019.118544
doi: 10.1016/j.jclepro.2019.118544
Clark M (2005) Corporate environmental behavior research: informing environmental policy. Struct Chang Econ Dyn 16:422–431. https://doi.org/10.1016/j.strueco.2004.04.006
doi: 10.1016/j.strueco.2004.04.006
Du W, Li M (2020) Assessing the impact of environmental regulation on pollution abatement and collaborative emissions reduction: micro-evidence from Chinese industrial enterprises. Environ Impact Assess Rev 82:106382. https://doi.org/10.1016/j.eiar.2020.106382
doi: 10.1016/j.eiar.2020.106382
Hirose K, Matsumura T (2020) A comparison between emission intensity and emission cap regulations. Energy Policy 137:111115. https://doi.org/10.1016/j.enpol.2019.111115
doi: 10.1016/j.enpol.2019.111115
Huang B, Mauerhofer V, Geng Y (2016) Analysis of existing building energy saving policies in Japan and China. J Clean Prod 112:1510–1518. https://doi.org/10.1016/j.jclepro.2015.07.041
doi: 10.1016/j.jclepro.2015.07.041
Huang S, Fan Z, Wang N (2020) Green subsidy modes and pricing strategy in a capital-constrained supply chain. Transp Res Part E Logist Transp Rev 136:101885. https://doi.org/10.1016/j.tre.2020.101885
doi: 10.1016/j.tre.2020.101885
Inoue N, Matsumoto S (2019) An examination of losses in energy savings after the Japanese Top Runner Program? Energy Policy 124:312–319. https://doi.org/10.1016/j.enpol.2018.09.040
doi: 10.1016/j.enpol.2018.09.040
Kimura O (2013) The role of standards: the Japanese Top Runner Programme for end-use efficiency [WWW Document]. Energy Technol Innov Learn Hist Successes Fail. https://doi.org/10.1017/CBO9781139150880.023
Knill C, Heichel S, Arndt D (2012) Really a front-runner, really a straggler? Of environmental leaders and laggards in the European Union and beyond — a quantitative policy perspective. Energy Policy 48:36–45. https://doi.org/10.1016/j.enpol.2012.04.043
doi: 10.1016/j.enpol.2012.04.043
Lee W, Yik F (2002) Regulatory and voluntary approaches for enhancing energy efficiencies of buildings in Hong Kong. Appl Energy 71:251–274. https://doi.org/10.1016/S0306-2619(02)00014-4
doi: 10.1016/S0306-2619(02)00014-4
Lee W, Yik F (2004) Regulatory and voluntary approaches for enhancing building energy efficiency. Prog Energy Combust Sci 30:477–499. https://doi.org/10.1016/j.pecs.2004.03.002
doi: 10.1016/j.pecs.2004.03.002
Li H, Carrión-Flores CE (2017) An analysis of the ENERGY STAR® program in Alachua County. Florida Ecol Econ 131:98–108. https://doi.org/10.1016/j.ecolecon.2016.08.014
doi: 10.1016/j.ecolecon.2016.08.014
Li N, Zhang X, Shi M, Hewings GJD (2019) Does China’s air pollution abatement policy matter? An assessment of the Beijing-Tianjin-Hebei region based on a multi-regional CGE model. Energy Policy 127:213–227. https://doi.org/10.1016/j.enpol.2018.12.019
doi: 10.1016/j.enpol.2018.12.019
Nie P, Wang C, Chen Y (2018) Top runner program in China: a theoretical analysis for potential subsidies. Energy Strategy Rev 21:157–162. https://doi.org/10.1016/j.esr.2018.06.006
doi: 10.1016/j.esr.2018.06.006
Nie P, Yang Y, Chen Y, Wang Z (2016) How to subsidize energy efficiency under duopoly efficiently? Appl. Energy 175:31–39. https://doi.org/10.1016/j.apenergy.2016.04.105
doi: 10.1016/j.apenergy.2016.04.105
Porter ME (1991) America’s green strategy. Sci Am 264(4):193–246
doi: 10.1038/scientificamerican0491-168
Porter ME, van der Linde C (1995) Toward a new conception of the environment-competitiveness relationship. J Econ Perspect 9:97–118. https://doi.org/10.1257/jep.9.4.97
doi: 10.1257/jep.9.4.97
Portney PR, Dower RC (1990) Public policies for environmental protection.
Rode J, Gómez-Baggethun E, Krause T (2015) Motivation crowding by economic incentives in conservation policy: a review of the empirical evidence. Ecol Econ 117:270–282. https://doi.org/10.1016/j.ecolecon.2014.11.019
doi: 10.1016/j.ecolecon.2014.11.019
Siderius PJS, Nakagami H (2013) A MEPS is a MEPS is a MEPS: comparing Ecodesign and Top Runner schemes for setting product efficiency standards. Energy Effic 6:1–19. https://doi.org/10.1007/s12053-012-9166-6
doi: 10.1007/s12053-012-9166-6
Vazquez-Brust DA, Liston-Heyes C, Plaza-Úbeda JA, Burgos-Jiménez J (2010) Stakeholders pressures and strategic prioritisation: an empirical analysis of environmental responses in Argentinean firms. J Bus Ethics 91:171–192. https://doi.org/10.1007/s10551-010-0612-0
doi: 10.1007/s10551-010-0612-0
Wang K-L, Pang S-Q, Ding L-L, Miao Z (2020) Combining the biennial Malmquist - Luenberger index and panel quantile regression to analyze the green total factor productivity of the industrial sector in China. Sci Total Environ 739:140280. https://doi.org/10.1016/j.scitotenv.2020.140280
doi: 10.1016/j.scitotenv.2020.140280
Wei X, Peng J (2014) An empirical study on impacts of environmental regulation on environmental information disclosure of listed companies of China: based on researches on listed companies in nonferrous metal industry. Can Soc Sci 10:113–123. https://doi.org/10.3968/4329
doi: 10.3968/4329
Wu H, Guo H, Zhang B, Bu M (2017) Westward movement of new polluting firms in China: pollution reduction mandates and location choice. J Comp Econ 45:119–138. https://doi.org/10.1016/j.jce.2016.01.001
doi: 10.1016/j.jce.2016.01.001
Xepapadeas A, de Zeeuw A (1999) Environmental policy and competitiveness: the Porter hypothesis and the composition of capital. J Environ Econ Manag 37:165–182. https://doi.org/10.1006/jeem.1998.1061
doi: 10.1006/jeem.1998.1061
Xia F, Xu J (2020) Green total factor productivity: A re-examination of quality of growth for provinces in China. China Econ Rev 62:101454. https://doi.org/10.1016/j.chieco.2020.101454
doi: 10.1016/j.chieco.2020.101454
Xie F, Zhang B (2020) Impact of China’s outward foreign direct investment on green total factor productivity in “Belt and Road” participating countries: a perspective of institutional distance. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-10849-2
Ya V, Martin N, Choo K-H, Chou Y-H, Lee S-J, Le NC, Li C-W (2019) High-pressure electrocoagulation system with periodic air replenishment for efficient dye wastewater treatment: reaction dynamics and cost evaluation. J Clean Prod 213:1127–1134. https://doi.org/10.1016/j.jclepro.2018.12.249
doi: 10.1016/j.jclepro.2018.12.249
Yang J, Guo H, Liu B, Shi R, Zhang B, Ye W (2018) Environmental regulation and the pollution haven hypothesis: do environmental regulation measures matter? J Clean Prod 202:993–1000. https://doi.org/10.1016/j.jclepro.2018.08.144
doi: 10.1016/j.jclepro.2018.08.144
Yi Y, Li J (2018) The effect of governmental policies of carbon taxes and energy-saving subsidies on enterprise decisions in a two-echelon supply chain. J Clean Prod 181:675–691. https://doi.org/10.1016/j.jclepro.2018.01.188
doi: 10.1016/j.jclepro.2018.01.188