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Is Technological Progress Selective for Multiple Pollutant Emissions?

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  • Weijiang Liu

    (Center for Quantitative Economics, Jilin University, Changchun 130012, China
    Business School, Jilin University, Changchun 130012, China
    Northeast Revitalization and Development Research Institute, Jilin University, Changchun 130012, China)

  • Mingze Du

    (Business School, Jilin University, Changchun 130012, China)

Abstract

Current research on technological progress does not focus on whether there is a biased selection of technological progress based on the resulting pollutant emissions and the emission reduction effect. This paper measures green total factor productivity for 30 provinces in China from 2004–2018 and tests whether technological progress is selectively biased towards the pollutants emitted. The results find a selective bias of technological progress on pollutant emissions, and there is also heterogeneity in the selective bias across regions. The current level of technological progress is on the right side of the inverted U-shaped inflection point for SO 2 and PM 2.5 and the left side of the inverted U-shaped inflection point for CO 2 . The improvement of technological progress can reduce the emissions of SO 2 and PM 2.5 . Still, the results indicate that the reduction effect of these two pollutants originates from the treatment process rather than reducing the source of the production side. The inability of technological advancement to reduce CO 2 emissions suggests some carbon lock-in in China’s technological advancement. The Chinese government should increase the proportion of new energy applications and reduce the production methods of polluting industries to reduce pollutants effectively.

Suggested Citation

  • Weijiang Liu & Mingze Du, 2021. "Is Technological Progress Selective for Multiple Pollutant Emissions?," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9286-:d:628001
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    as
    1. Xi Chen & Zhigang Chen, 2021. "Can China’s Environmental Regulations Effectively Reduce Pollution Emissions?," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    2. Unruh, Gregory C., 2002. "Escaping carbon lock-in," Energy Policy, Elsevier, vol. 30(4), pages 317-325, March.
    3. Kumar, Surender & Managi, Shunsuke, 2010. "Sulfur dioxide allowances: Trading and technological progress," Ecological Economics, Elsevier, vol. 69(3), pages 623-631, January.
    4. Rolf Färe & Emili Grifell‐Tatjé & Shawna Grosskopf & C. A. Knox Lovell, 1997. "Biased Technical Change and the Malmquist Productivity Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 99(1), pages 119-127, March.
    5. Haeyeon Yoon & Almas Heshmati, 2021. "Do environmental regulations affect FDI decisions? The pollution haven hypothesis revisited," Science and Public Policy, Oxford University Press, vol. 48(1), pages 122-131.
    6. Yuan Zhao & Tian Zhang & Ting Wu & Shujing Xu & Shuwang Yang, 2021. "Effects of Technological Progress from Different Sources on Haze Pollution in China," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    7. Weber, William L. & Domazlicky, Bruce R., 1999. "Total factor productivity growth in manufacturing: a regional approach using linear programming," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 105-122, January.
    8. Maolin Liao & Yingjie Wang, 2019. "China’s Energy Consumption Rebound Effect Analysis Based on the Perspective of Technological Progress," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    9. Mattauch, Linus & Creutzig, Felix & Edenhofer, Ottmar, 2015. "Avoiding carbon lock-in: Policy options for advancing structural change," Economic Modelling, Elsevier, vol. 50(C), pages 49-63.
    10. Rolf Färe & Shawna Grosskopf & Dimitri Margaritis, 2006. "Productivity Growth and Convergence in the European Union," Journal of Productivity Analysis, Springer, vol. 25(1), pages 111-141, April.
    11. Briggs, David & Abellan, Juan J. & Fecht, Daniela, 2008. "Environmental inequity in England: Small area associations between socio-economic status and environmental pollution," Social Science & Medicine, Elsevier, vol. 67(10), pages 1612-1629, November.
    12. Lingyun Mi & Yuhuan Sun & Lijie Qiao & Tianwen Jia & Yang Yang & Tao Lv, 2021. "Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    13. Xueli Wang & Caizhi Sun & Song Wang & Zhixiong Zhang & Wei Zou, 2018. "Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
    14. Yii-Ting Huang & Chien-Chih Chen & Yu-Ni Ho & Ming-Ta Tsai & Chih-Min Tsai & Po-Chun Chuang & Fu-Jen Cheng, 2021. "Short-Term Effects of Particulate Matter and Its Constituents on Emergency Room Visits for Chronic Obstructive Pulmonary Disease: A Time-Stratified Case-Crossover Study in an Urban Area," IJERPH, MDPI, vol. 18(9), pages 1-12, April.
    15. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    16. Po-Chi Chen & Ming-Miin Yu, 2014. "Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries," Annals of Operations Research, Springer, vol. 214(1), pages 143-165, March.
    17. Demena, Binyam Afewerk & Afesorgbor, Sylvanus Kwaku, 2020. "The effect of FDI on environmental emissions: Evidence from a meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    18. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    19. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
    20. Lin, Boqiang & Du, Kerui, 2015. "Measuring energy rebound effect in the Chinese economy: An economic accounting approach," Energy Economics, Elsevier, vol. 50(C), pages 96-104.
    21. José M. Cansino & Rocio Román-Collado & Juan C. Molina, 2019. "Quality of Institutions, Technological Progress, and Pollution Havens in Latin America. An Analysis of the Environmental Kuznets Curve Hypothesis," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    22. Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
    23. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
    24. Zhu, Shuai & Song, Malin & Lim, Ming Kim & Wang, Jianlin & Zhao, Jiajia, 2020. "The development of energy blockchain and its implications for China's energy sector," Resources Policy, Elsevier, vol. 66(C).
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