IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v313y2024ics0360544224037824.html
   My bibliography  Save this article

The path to energy savings and CO2 emission reductions in China's industrial sector from the perspective of factor price distortions correction - Based on an extended capital vintage model

Author

Listed:
  • Xu, Jiangchuan
  • Wang, En-Ze

Abstract

Exploring the endogenous driving mechanism of CO2 emission abatement from the perspective of factor price distortions is crucial for China to achieve the goal of carbon peaking and carbon neutrality. Despite its importance, there is a notable gap in current research as existing studies have failed to open the "black box" of factor price distortions affecting CO2 emissions. In this paper, we construct an extended vintage capital model under the imperfect factor market scenario to shed light on the intrinsic mechanism by which factor price distortions affect energy demands and CO2 emissions through the dynamic accumulation of energy-efficient capital vintage. Subsequently, based on compiling a unique "province-industry-year" three-dimensional panel dataset (from 1998 to 2013), this research further endeavors to systematically assess the energy saving and carbon reduction potentials of correcting factor price distortions in China's industrial sector. The results show that correcting factor price distortions could save the industrial sector an average of 225 million tonnes of standard coal of energy and reduce 793 million tonnes of CO2 emissions per annum over the period of the study by promoting the energy efficiency of capital vintage. Additionally, rectifying factor price distortions can lead to significant synergistic effects in reducing atmospheric pollutants as compared to aquatic pollutants.

Suggested Citation

  • Xu, Jiangchuan & Wang, En-Ze, 2024. "The path to energy savings and CO2 emission reductions in China's industrial sector from the perspective of factor price distortions correction - Based on an extended capital vintage model," Energy, Elsevier, vol. 313(C).
  • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037824
    DOI: 10.1016/j.energy.2024.134004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224037824
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.134004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Durmaz, Tunç, 2018. "The economics of CCS: Why have CCS technologies not had an international breakthrough?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 328-340.
    2. Diego Restuccia & Richard Rogerson, 2017. "The Causes and Costs of Misallocation," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 151-174, Summer.
    3. Kumbhakar, Subal C & Bhattacharyya, Arunava, 1992. "Price Distortions and Resource-Use Efficiency in Indian Agriculture: A Restricted Profit Function Approach," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 231-239, May.
    4. Joshua Linn, 2008. "Energy Prices and the Adoption of Energy-Saving Technology," Economic Journal, Royal Economic Society, vol. 118(533), pages 1986-2012, November.
    5. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.
    6. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    7. James M. Griffin & Craig T. Schulman, 2005. "Price Asymmetry in Energy Demand Models: A Proxy for Energy-Saving Technical Change?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-22.
    8. Steinbuks, Jevgenijs & Neuhoff, Karsten, 2014. "Assessing energy price induced improvements in efficiency of capital in OECD manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 340-356.
    9. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    10. Zheng, Xuemei & Wu, Chengkuan & He, Shijun, 2021. "Impacts of China's differential electricity pricing on the productivity of energy-intensive industries," Energy Economics, Elsevier, vol. 94(C).
    11. Kohn, Robert E., 1977. "Emission standards and price distortion," Journal of Environmental Economics and Management, Elsevier, vol. 4(3), pages 200-208, September.
    12. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin, 2017. "Does energy-price regulation benefit China's economy and environment? Evidence from energy-price distortions," Energy Policy, Elsevier, vol. 105(C), pages 108-119.
    13. Loren Brandt & Trevor Tombe & Xiadong Zhu, 2013. "Factor Market Distortions Across Time, Space, and Sectors in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 39-58, January.
    14. Duan, Hong-Bo & Fan, Ying & Zhu, Lei, 2013. "What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS?," Applied Energy, Elsevier, vol. 112(C), pages 866-875.
    15. Loren Brandt & Trevor Tombe & Xiadong Zhu, 2013. "Factor Market Distortions Across Time, Space, and Sectors in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 39-58, January.
    16. Aoki, Shuhei, 2012. "A simple accounting framework for the effect of resource misallocation on aggregate productivity," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 473-494.
    17. Li, Ke & Lin, Boqiang, 2015. "How does administrative pricing affect energy consumption and CO2 emissions in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 952-962.
    18. Atkinson, Scott E & Halvorsen, Robert, 1984. "Parametric Efficiency Tests, Economies of Scale, and Input Demand in U.S. Electric Power Generation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 647-662, October.
    19. Gamtessa, Samuel & Olani, Adugna Berhanu, 2018. "Energy price, energy efficiency, and capital productivity: Empirical investigations and policy implications," Energy Economics, Elsevier, vol. 72(C), pages 650-666.
    20. Hongbin Cai & Qiao Liu, 2009. "Competition and Corporate Tax Avoidance: Evidence from Chinese Industrial Firms," Economic Journal, Royal Economic Society, vol. 119(537), pages 764-795, April.
    21. Tan, Ruipeng & Lin, Boqiang & Liu, Xiying, 2019. "Impacts of eliminating the factor distortions on energy efficiency—A focus on China's secondary industry," Energy, Elsevier, vol. 183(C), pages 693-701.
    22. Xiang, Hongjin & Kuang, Yanxiang, 2020. "Who benefits from China’s coal subsidy policies? A computable partial equilibrium analysis," Resource and Energy Economics, Elsevier, vol. 59(C).
    23. Newell, Richard G. & Jaffe, Adam B. & Stavins, Robert N., 2006. "The effects of economic and policy incentives on carbon mitigation technologies," Energy Economics, Elsevier, vol. 28(5-6), pages 563-578, November.
    24. Parker Elliott, 1995. "Shadow Factor Price Convergence and the Response of Chinese State-Owned Construction Enterprises to Reform," Journal of Comparative Economics, Elsevier, vol. 21(1), pages 54-81, August.
    25. Ryzhenkov, Mykola, 2016. "Resource misallocation and manufacturing productivity: The case of Ukraine," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 41-55.
    26. Jovanovic, Boyan & Yatsenko, Yuri, 2012. "Investment in vintage capital," Journal of Economic Theory, Elsevier, vol. 147(2), pages 551-569.
    27. Xu, Mengmeng & Tan, Ruipeng, 2021. "Removing energy allocation distortion to increase economic output and energy efficiency in China," Energy Policy, Elsevier, vol. 150(C).
    28. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    29. James M. Griffin & Craig T. Schulman, 2005. "Price Asymmetry In Energy Demand Models: A Proxy for Energy-Saving Technical Change?," The Energy Journal, , vol. 26(2), pages 1-21, April.
    30. Choi, Bongseok, 2020. "Productivity and misallocation of energy resources: Evidence from Korea’s manufacturing Sector," Resource and Energy Economics, Elsevier, vol. 61(C).
    31. G. Karagiannis & S. C. Kumbhakar & E. G. Tsionas, 2004. "A Distance Function Approach for Estimating Technical and Allocative Inefficiency," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 19-30, January.
    32. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    33. Zhu, Junming & Niu, Limin & Ruth, Matthias & Shi, Lei, 2018. "Technological Change and Energy Efficiency in Large Chinese Firms," Ecological Economics, Elsevier, vol. 150(C), pages 241-250.
    34. Jiang, Hong-Dian & Purohit, Pallav & Liang, Qiao-Mei & Liu, Li-Jing & Zhang, Yu-Fei, 2023. "Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China," Ecological Economics, Elsevier, vol. 204(PA).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peng Hou & Yilin Li & Yong Tan & Yuanjie Hou, 2020. "Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation," Energies, MDPI, vol. 13(16), pages 1-24, August.
    2. Qiao, Sen & Zhao, Dong Hao & Guo, Zi Xin & Tao, Zhang, 2022. "Factor price distortions, environmental regulation and innovation efficiency: An empirical study on China's power enterprises," Energy Policy, Elsevier, vol. 164(C).
    3. Ru Sha & Tao Ge & Jinye Li, 2022. "How Energy Price Distortions Affect China’s Economic Growth and Carbon Emissions," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    4. Tan, Ruipeng & Xu, Mengmeng & Sun, Chuanwang, 2021. "The impacts of energy reallocation on economic output and CO2 emissions in China," Energy Economics, Elsevier, vol. 94(C).
    5. Cao, Hongjian & Wang, Bizhe & Li, Ke, 2021. "Regulatory policy and misallocation: A new perspective based on the productivity effect of cleaner production standards in China's energy firms," Energy Policy, Elsevier, vol. 152(C).
    6. Wu, Liangpeng & Xu, Chengzhen & Zhu, Qingyuan & Zhou, Dequn, 2024. "Multiple energy price distortions and improvement of potential energy consumption structure in the energy transition," Applied Energy, Elsevier, vol. 362(C).
    7. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
    8. Gao, Kang & Yuan, Yijun, 2022. "Does market-oriented reform make the industrial sector “Greener” in China? Fresh evidence from the perspective of capital-labor-energy market distortions," Energy, Elsevier, vol. 254(PA).
    9. Trenczek, Jan & Wacker, Konstantin M., 2023. "Human Capital Misallocation and Output per Worker Differences: Beyond Cobb-Douglas," GLO Discussion Paper Series 1331, Global Labor Organization (GLO).
    10. Juan Tang & Fangming Qin, 2022. "Analyzing the impact of local government competition on green total factor productivity from the factor market distortion perspective: based on the three stage DEA model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14298-14326, December.
    11. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.
    12. Shuifeng Hong & Yating Deng & Fengtao Guang, 2025. "Impacts of environmental regulation and energy misallocation on energy environmental efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 1963-1985, January.
    13. Sha, Ru & Li, Jinye & Ge, Tao, 2021. "How do price distortions of fossil energy sources affect China's green economic efficiency?," Energy, Elsevier, vol. 232(C).
    14. Ling-Yun He & Xiao-Feng Qi, 2021. "Resource Misallocation and Energy-Related Pollution," IJERPH, MDPI, vol. 18(10), pages 1-19, May.
    15. Jiangfeng Hu & Xiaofang Zhang & Tingting Wang, 2022. "Spatial Spillover Effects of Resource Misallocation on the Green Total Factor Productivity in Chinese Agriculture," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    16. Cui, Yi, 2024. "Place-based policies and capital misallocation: Evidence from Chinese cities," Economic Systems, Elsevier, vol. 48(4).
    17. Yue Liu & Siming Liu & Xueying Xu & Pierre Failler, 2020. "Does Energy Price Induce China’s Green Energy Innovation?," Energies, MDPI, vol. 13(15), pages 1-18, August.
    18. Yidan Liang, 2023. "The effect of capital and labour distortion on innovation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 1709-1737, June.
    19. Zhang, Shangfeng & Chen, Congcong & Huang, Duen-Huang & Hu, Lang, 2022. "Measurement of factor price distortion: A new production function method with time-varying elasticity," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    20. Lyu, Yanwei & Xiao, Xuan & Zhang, Jinning, 2024. "Does the digital economy enhance green total factor productivity in China? The evidence from a national big data comprehensive pilot zone," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 183-196.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037824. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.