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Energy consumption, environmental pollution, and technological innovation efficiency: taking industrial enterprises in China as empirical analysis object

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Abstract

Facing increasingly serious environmental problems, technological innovation has become the key for industrial enterprises to coordinate energy conservation and emission reduction constraints and achieve steady growth of the industrial economy. Considering the impact of energy consumption and environmental pollution on the technological innovation efficiency of industrial enterprises, this paper incorporates industrial energy consumption, pollution control, and wastewater and exhaust emissions into the technical inefficiency equation. Based on the panel data of industrial enterprises in 30 provinces and autonomous regions in China from 2009 to 2016, the stochastic frontier analysis (SFA) model is used to study the effect of energy consumption and environmental pollution on technological innovation efficiency of industrial enterprises. The research results show that reducing energy consumption and increasing pollution treatment investment both have a significant driving effect on the improvement of industrial enterprises’ technological innovation efficiency. Industrial wastewater and exhaust emissions have the opposite effect; unreasonable input mode of pollution control and personnel allocation have hindered the improvement of industrial enterprises’ technological innovation efficiency. The average annual trend of technological innovation efficiency in industrial enterprises shows a curve of first rising, then falling, and rising again. The average values of Chongqing, Zhejiang, and Hunan rank in the top three, and the average values of Qinghai, Heilongjiang, and Inner Mongolia rank the bottom three. The average values of other provinces are higher than 0.9, and the difference is small. A suitable incentive mechanism should be established for industrial enterprises to save energy and reduce emissions and strengthen pollution control, improve the training program for environmental protection technical personnel, and provide important support for improving the green competitiveness of industrial enterprises.

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References

  • Al-Amri K, Gattoufi S, Al-Muharrami S (2012) Analyzing the technical efficiency of insurance companies in GCC[J]. J Risk Financ 13(4):362–380

    Article  Google Scholar 

  • Angang H, Zhang X (2016) Innovation and development: the core of the overall development of the country[J]. J Party School Central Commit CPC 20(02):107–112

    Google Scholar 

  • Attipoe SG, Jianmin C, Opoku-Kwanowaa Y, Ohene-Sefa F (2020) The determinants of technical efficiency of cocoa production in Ghana: an analysis of the role of rural and community banks [J]. Sustain Prod Consump 23:11–20

    Article  Google Scholar 

  • Bento Antonio M, Jacobsen M (2007) Ricardian rents, environmental policy and the ‘double-dividend’ hypothesis[J]. J Environ Econ Manag 53(1):0–31

    Google Scholar 

  • Bezin E (2019) The economics of green consumption, cultural transmission and sustainable technological change[J]. J Econ Theory 181:497–546

    Article  Google Scholar 

  • Boyd GA, Lee JM (2019) Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis[J]. Energy Econ 81:159–174

    Article  Google Scholar 

  • Chen Y (2013) On countermeasures of talent structure imbalance in China: based on the analysis perspective of structural departure degree[J]. J Hunan Univ Sci Technol (Social Science Edition) 16(06):109–112

    Google Scholar 

  • Chintrakarn P (2008) Environmental regulation and U.S. states’ technical inefficiency[J]. Econ Lett 100(3):363–365

    Article  Google Scholar 

  • Feng H, Zhu L, Ma D, Jiang W (2015) Research on the green technical efficiency of China’s iron and steel enterprise[J]. China Indu Econ 07:84–98

    Google Scholar 

  • Francisco J, López R, Cacheda JMC (2018) An Approximation to technical efficiency in Spanish toll roads through a DEA approach[J]. Transp Res Proc 33:386–393

    Article  Google Scholar 

  • Gao Y, Zhang M (2019) The measure of technical efficiency of China’s provinces with carbon emission factor and the analysis of the influence of structural variables[J]. Struct Chang Econ Dyn 49:120–129

    Article  Google Scholar 

  • Gebremichael BZ, Gessesse HT (2016) Technical efficiency of Microfinance Institutions (MFIs)[J]. Int J Dev Issues 15(3):224–239

    Article  Google Scholar 

  • Hall BH, Helmers C (2013) Innovation and diffusion of clean/green technology: can patent commons help?[J]. J Environ Econ Manag 66(1):33–51

    Article  Google Scholar 

  • Hanauerová E (2019) Assessing the technical efficiency of public procurements in the bus transportation sector in the Czech Republic[J]. Socio Econ Plan Sci 66:105–111

    Article  Google Scholar 

  • He J, Wang Y, Zheng X (2014) Analysis on current status and association factors of willingness to flow of Sci-Tech Talents in Universities[J]. Popul Dev 20(03):24-32–24-42

    Google Scholar 

  • Ji KW, Kong FB (2014) Measurement and improvement path of technical efficiency of Chinese bio-agricultural listed companies--based on analysis of three-stage DEA model[J]. Chin Rural Econ (08):42-57-75

  • Jin W, Zhang H-q, Liu S-s, Zhang H-b (2019) Technological innovation, environmental regulation, and green total factor efficiency of industrial water resources[J]. J Clean Prod 211:61–69

    Article  Google Scholar 

  • Khan A, Muhammad F, Yang C, Hussain J, Bano S (2020) Muhammad Awais Khan. The impression of technological innovations and natural resources in energy-growth-environment nexus: a new look into BRICS economies[J]. Sci Total Environ 727:138265

    Article  CAS  Google Scholar 

  • Lanoie P, Patry M, Lajeunesse R (2008) Environmental regulation and productivity: testing the Porter Hypothesis[J]. J Prod Anal 30(2):121–128

    Article  Google Scholar 

  • Le V, Xuan-Binh V, Nghiem S (2018) Technical efficiency of small and medium manufacturing firms in Vietnam: a stochastic meta-frontier analysis[J]. Economic Analysis and Policy 59:84–91

    Article  Google Scholar 

  • Li G, Zhang W (2017) Research on industrial carbon emissions and emissions reduction mechanism in China’s ETS[J]. China Popul Resour Environ 27(10):141–148

    Google Scholar 

  • Li H, Zhang J, Wang C, Wang Y, Coffey V (2018) An evaluation of the impact of environmental regulation on the efficiency of technology innovation using the combined DEA model: a case study of Xi’an, China[J]. Sustain Cities Soc 42:355–369

    Article  Google Scholar 

  • Boqiang Lin, Xing Chen. (2020) Environmental regulation and energy-environmental performance—empirical evidence from China’s non-ferrous metals industry[J]. J Environ Manag, 2691.

  • Liutao L, Futian Q, Feng S (2012) Agricultural technical efficiency measurement under the environmental constraints[J]. J Nat Resour 27(09):1580–1589

    Google Scholar 

  • Ma H, Hou Y, Li S (2017) Decoupling relationship between industrial wastewater discharges and economic growth in regional differentiation of China[J]. China Popul Resour Environ 27(11):185–192

    Google Scholar 

  • Makkonen T, Inkinen T (2018) Sectoral and technological systems of environmental innovation: the case of marine scrubber systems[J]. J Clean Prod 200:110–121

    Article  Google Scholar 

  • Margono H, Sharma SC (2006) Efficiency and productivity analyses of Indonesianmanufacturing industries[J]. J Asian Econ 17(6):979–995

    Article  Google Scholar 

  • Mavi NK, Mavi RK (2019) Energy and environmental efficiency of OECD countries in the context of the circular economy: common weight analysis for malmquist productivity index[J]. J Environ Manag 2471:651–661

    Article  Google Scholar 

  • Miao CH, Fang DB, Sun LY, Luo QL (2018) Driving effect of technology innovation on energy utilization efficiency in strategic emerging industries[J]. J Clean Prod 170:1177–1184

  • Pan X, Ai B, Li C, Pan X, Yan Y (2019) Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China[J]. Technol Forecast Soc Chang 144:428–435

    Article  Google Scholar 

  • Qu XY (2014) A study on the efficiency of environmental technology of Chinese industry [J]. Economist 07:55–65

  • Quijano D, Salas S, Monroy-García C, Velázquez-Abunader I (2018) Factors contributing to technical efficiency in a mixed fishery: implications in buyback programs[J]. Mar Policy 94:61–70

    Article  Google Scholar 

  • Saeedi H, Behdani B, Wiegmans B, Zuidwijk R (2019) Assessing the technical efficiency of intermodal freight transport chains using a modified network DEA approach[J]. Transp Res Part E: Logistics and Transportation Review 126:66–86

    Article  Google Scholar 

  • Sami J, Pascal F, Younes B (2013) Public road transport efficiency: a stochastic frontier analysis[J]. J Transp Syst Eng Inform Technol 13(5):64–71

    Google Scholar 

  • Sarkodie SA, Adams S (2018) Renewable energy, nuclear energy, and environmental pollution: accounting for political institutional quality in South Africa[j]. Sci Total Environ 643:1590–1601

    Article  CAS  Google Scholar 

  • Wanke P, Tan Y, Antunes J, Hadi-Vencheh A (2020) Business environment drivers and technical efficiency in the Chinese energy industry: a robust Bayesian stochastic frontier analysis[J]. Comput Ind Eng 144:106487

    Article  Google Scholar 

  • Xiang Y, Cao X (2014) An empirical study of the development of strategic emerging industries based on innovation performance: a case from new energy industry[J]. J Bus Econ 03:33–39

    Google Scholar 

  • Xiao RQ, Wang ZJ, Li Q (2014) Research on the industrial enterprise’s innovation efficiency in China considering environmental factor[J]. Manag Rev 26(06):56–66

  • Xin-gang Z, Zhen W (2019) The technical efficiency of China’s wind power list enterprises: an estimation based on DEA method and micro-data[J]. Renew Energy 133:470–479

    Article  Google Scholar 

  • Yang Z, Shao S, Yang L (2016) The optimal path choice of China’s green industry reform--experienced research based on the perspective of technological progress Factors[J]. Econ Perspect 01:76–89

    CAS  Google Scholar 

  • Yu J, Chen K (2012) Current situation and challenge of technological innovations in Chinese strategic emerging industries: a patent-bibilometric perspective[J]. Stud Sci Sci 30(05):682–695

    Google Scholar 

  • Zhao L, Zhong B, Wang X (2014) Study on effect of industrial pollution treatment investment on regional employment[J]. China Ind Econ 05:70–82

    Google Scholar 

  • Zongyi H, Yi L (2017) Environmental regulation and the green technical efficiency of China’s industry[J]. J Hunan Univ (Social Sciences) 31(05):42–48

    Google Scholar 

Download references

Funding

The paper is supported by the National Natural Science Foundation of China (71704002, 71503003, 51774013); Anhui Province Philosophy and Social Science Planning Foundation of China (AHSKQ2016D26); Anhui Province Soft Science Foundation of China (1502052055); Humanities and Social Sciences Foundation of Education Department, Anhui Province, China (SK2016A0291); Anhui Province Natural Science Foundation of China (1508085QG147, 1708085QG166); and Anhui University of Technology Graduate Innovation Fund Project(2019CX2074).

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Authors and Affiliations

  1. School of Economics and Management, Anhui University of Science and Technology, Huainan City, 232001, Anhui Province, China

    Cheng-lin Miao, Xiao-na Meng, Meng-meng Duan & Xin-yu Wu

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  1. Cheng-lin Miao
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  2. Xiao-na Meng
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  3. Meng-meng Duan
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  4. Xin-yu Wu
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Correspondence to Cheng-lin Miao.

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Miao, Cl., Meng, Xn., Duan, Mm. et al. Energy consumption, environmental pollution, and technological innovation efficiency: taking industrial enterprises in China as empirical analysis object. Environ Sci Pollut Res 27, 34147–34157 (2020). https://doi.org/10.1007/s11356-020-09537-y

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