IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i9d10.1007_s10668-022-02463-8.html
   My bibliography  Save this article

The dynamic association between public environmental demands, government environmental governance, and green technology innovation in China: evidence from panel VAR model

Author

Listed:
  • Na Zhang

    (Lanzhou University)

  • Jinqian Deng

    (Lanzhou University)

  • Fayyaz Ahmad

    (Lanzhou University)

  • Muhammad Umar Draz

    (Canadore College, Canadore at Stanford)

  • Nabila Abid

    (University G. D’Annunzio Chieti-Pescara)

Abstract

Public demand for environmental protection and environmental governance has a profound impact on enterprises’ innovation behavior. Based on the panel data of 30 provinces in China from 2001 to 2018, this study uses a unit root to co-integration approach and the Panel Data Vector Autoregression model to empirically test the two-way dynamic relationship among green technology innovation, public environmental demands, and government environmental governance. The results show that both public environmental demands and environmental governance stimulate enterprises’ green technology innovation; the estimated coefficient of government environmental governance and public environmental demands is 0.6681 and 0.0337, respectively. The incentive effect of environmental governance was more significant than that of public demands. Public environmental demands and green technology innovation have a bidirectional link, while environmental governance and green technology innovation share a two-way causality; meanwhile, environmental governance and public environmental demands share a unidirectional causal link. This study uses Impulse Response Function and Variance Decomposition to validate the outcomes, which shows that environmental governance’s positive effect is more direct, while the effect of public demand has a time-lag impact, and the relationship among the three main variables is stable after the tenth period. The largest contribution to green technology innovation is environmental governance, with an explanation degree of 22.01%, followed by institutional quality (13.30%), and then public environmental demands (4.8%). These conclusions are not only significant for China to deal with the relationship among the public, government, and enterprises in the process of environmental governance, but also a valuable reference for other countries.

Suggested Citation

  • Na Zhang & Jinqian Deng & Fayyaz Ahmad & Muhammad Umar Draz & Nabila Abid, 2023. "The dynamic association between public environmental demands, government environmental governance, and green technology innovation in China: evidence from panel VAR model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9851-9875, September.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02463-8
    DOI: 10.1007/s10668-022-02463-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02463-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02463-8?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. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    2. Wang, Hua & Wheeler, David, 2005. "Financial incentives and endogenous enforcement in China's pollution levy system," Journal of Environmental Economics and Management, Elsevier, vol. 49(1), pages 174-196, January.
    3. Bretschger, Lucas & Lechthaler, Filippo & Rausch, Sebastian & Zhang, Lin, 2017. "Knowledge diffusion, endogenous growth, and the costs of global climate policy," European Economic Review, Elsevier, vol. 93(C), pages 47-72.
    4. Stephen Knack & Philip Keefer, 1995. "Institutions And Economic Performance: Cross‐Country Tests Using Alternative Institutional Measures," Economics and Politics, Wiley Blackwell, vol. 7(3), pages 207-227, November.
    5. John A. List & Daniel M. Sturm, 2006. "How Elections Matter: Theory and Evidence from Environmental Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1249-1281.
    6. Wagner, Marcus, 2007. "On the relationship between environmental management, environmental innovation and patenting: Evidence from German manufacturing firms," Research Policy, Elsevier, vol. 36(10), pages 1587-1602, December.
    7. Manuel Frondel & Jens Horbach & Klaus Rennings, 2007. "End‐of‐pipe or cleaner production? An empirical comparison of environmental innovation decisions across OECD countries," Business Strategy and the Environment, Wiley Blackwell, vol. 16(8), pages 571-584, December.
    8. Edward L. Glaeser & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2004. "Do Institutions Cause Growth?," Journal of Economic Growth, Springer, vol. 9(3), pages 271-303, September.
    9. Toke Aidt & Peter Jensen, 2009. "Tax structure, size of government, and the extension of the voting franchise in Western Europe, 1860–1938," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 16(3), pages 362-394, June.
    10. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    11. Knack, Stephen & Keefer, Philip, 1995. "Institutions and Economic Performance: Cross-Country Tests Using Alternative Institutional Indicators," MPRA Paper 23118, University Library of Munich, Germany.
    12. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    13. Farzin, Y. Hossein & Bond, Craig A., 2006. "Democracy and environmental quality," Journal of Development Economics, Elsevier, vol. 81(1), pages 213-235, October.
    14. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    15. Kemp, René & Pontoglio, Serena, 2011. "The innovation effects of environmental policy instruments — A typical case of the blind men and the elephant?," Ecological Economics, Elsevier, vol. 72(C), pages 28-36.
    16. Meredith Fowlie & Stephen P. Holland & Erin T. Mansur, 2012. "What Do Emissions Markets Deliver and to Whom? Evidence from Southern California's NOx Trading Program," American Economic Review, American Economic Association, vol. 102(2), pages 965-993, April.
    17. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    18. Paavola, Jouni, 2007. "Institutions and environmental governance: A reconceptualization," Ecological Economics, Elsevier, vol. 63(1), pages 93-103, June.
    19. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    20. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    21. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    22. Shunsuke Managi & SJames J. Opaluch & Di Jin & Thomas A. Grigalunas, 2005. "Environmental Regulations and Technological Change in the Offshore Oil and Gas Industry," Land Economics, University of Wisconsin Press, vol. 81(2).
    23. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    24. Chintrakarn, Pandej, 2008. "Environmental regulation and U.S. states' technical inefficiency," Economics Letters, Elsevier, vol. 100(3), pages 363-365, September.
    25. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    26. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Ryan H. Murphy & Colin O’Reilly, 2019. "Applying panel vector autoregression to institutions, human capital, and output," Empirical Economics, Springer, vol. 57(5), pages 1633-1652, November.
    2. Laura Heras Recuero & Roberto Pascual González, 2019. "Economic growth, institutional quality and financial development in middle-income countries," Working Papers 1937, Banco de España.
    3. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    4. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    5. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    6. Joan Costa-Font & Cristina Vilaplana-Prieto, 2023. "‘Investing’ in care for old age? An examination of long-term care expenditure dynamics and its spillovers," Empirical Economics, Springer, vol. 64(1), pages 1-30, January.
    7. Yohan Iddawela & Neil Lee & Andrés Rodríguez-Pose, 2021. "Quality of Sub-national Government and Regional Development in Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 57(8), pages 1282-1302, August.
    8. Zeira, Joseph & di Vaio, Gianfranco & Battisti, Michele, 2013. "Global Divergence in Growth Regressions," CEPR Discussion Papers 9687, C.E.P.R. Discussion Papers.
    9. Theo Eicher & Till Schreiber, 2010. "Institutions and Growth: Time Series Evidence from Natural Experiments," Working Papers UWEC-2007-15-P, University of Washington, Department of Economics.
    10. Daniel Oto Peralías & Daniel Oto-Peralías & Diego Romero-Ávila, 2012. "Tracing the Link between Government Size and Growth: The Role of Public Sector Quality," EcoMod2012 4015, EcoMod.
    11. Sambit Bhattacharyya, 2011. "Growth Miracles and Growth Debacles," Books, Edward Elgar Publishing, number 13609.
    12. Björn Brey & Matthias S. Hertweck, 2023. "The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(3), pages 616-654, July.
    13. Oguzhan Cepni & Ibrahim Ethem Guney & Doruk Kucuksarac & M. Hasan Yilmaz, 2021. "Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data‐rich environment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1214-1229, November.
    14. Rifai Afin, 2023. "Interlinka Terlinkage Of M Ge Of Macroeconomic Uncer Croeconomic Uncertainty And Macroeconomic Performance: Evidence From Asean-5 Countries Panel Var," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(1), pages 39-68, March.
    15. Vu, K.M., 2017. "Structural change and economic growth: Empirical evidence and policy insights from Asian economies," Structural Change and Economic Dynamics, Elsevier, vol. 41(C), pages 64-77.
    16. Anis Ochi & Yosra Saidi & Mohamed Ali Labidi, 2023. "Non-linear Threshold Effect of Governance Quality on Economic Growth in African Countries: Evidence from Panel Smooth Transition Regression Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4707-4729, December.
    17. Giulia Caruso & Emiliano Colantonio & Stefano Antonio Gattone, 2020. "Relationships between Renewable Energy Consumption, Social Factors, and Health: A Panel Vector Auto Regression Analysis of a Cluster of 12 EU Countries," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    18. Al Guindy, Mohamed, 2021. "Cryptocurrency price volatility and investor attention," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 556-570.
    19. Igor Petruška & Eva Litavcová & Jana Chovancová, 2022. "Impact of Renewable Energy Sources and Nuclear Energy on CO 2 Emissions Reductions—The Case of the EU Countries," Energies, MDPI, vol. 15(24), pages 1-23, December.
    20. Forson, Joseph Ato & Opoku, Rosemary Afrakomah & Peng, Zhen, 2017. "Innovation, Institutions and Economic Growth in Sub-Sahara Africa – an IV Estimation of a Panel Threshold Model," MPRA Paper 103063, University Library of Munich, Germany, revised 15 Mar 2018.

    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:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02463-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.