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Can industry-university-research collaborative innovation efficiency reduce carbon emissions?

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Listed:
  • Song, Yanwu
  • Zhang, Jinrui
  • Song, Yingkang
  • Fan, Xinran
  • Zhu, Yuqing
  • Zhang, Chen

Abstract

Industry-university-research cooperation is an important component of the national innovation system. It is of great significance to promote scientific and technological achievements, promote industrial transformation and upgrading, and build a country that is powerful in science and technology. As an organizational form of technological progress, the efficiency of industry-university-research (IUR) cooperation can also affect carbon emissions. Based on panel data of 30 provinces in China from 2009 to 2017, this paper uses data envelopment analysis (DEA) to study regional differences in industry-university-research collaborative innovation efficiency (ICIE) and the impact of carbon emissions. The results show that (1) the average efficiency of China's industry-university-research collaboration innovation is 0.65, and many provinces have not reached the effective frontier. Compared with the efficiency of South China at the regional level, ICIE in North China, Northeast China, Northwest China, and Southwest China is low, and the efficiency of ICIE needs to be further improved. (2) Based on the Malmquist index (MI) decomposition of ICIE, the overall ICIE in China is increasing, of which technological progress (TECH) is the main driving factor. (3) According to the results of the regression model, China's carbon emissions exhibit a path dependence, and improving ICIE can reduce carbon emissions. (4) Green innovation plays an intermediary role. The improvement of ICIE promotes the improvement of green innovation capabilities, and the improvement of green innovation capabilities can effectively suppress carbon emissions.

Suggested Citation

  • Song, Yanwu & Zhang, Jinrui & Song, Yingkang & Fan, Xinran & Zhu, Yuqing & Zhang, Chen, 2020. "Can industry-university-research collaborative innovation efficiency reduce carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:tefoso:v:157:y:2020:i:c:s0040162520309203
    DOI: 10.1016/j.techfore.2020.120094
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    as
    1. Brookes, Len, 1990. "The greenhouse effect: the fallacies in the energy efficiency solution," Energy Policy, Elsevier, vol. 18(2), pages 199-201, March.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    4. Acemoglu, Daron & Gancia, Gino & Zilibotti, Fabrizio, 2012. "Competing engines of growth: Innovation and standardization," Journal of Economic Theory, Elsevier, vol. 147(2), pages 570-601.3.
    5. Esteve, Vicente & Tamarit, Cecilio, 2012. "Threshold cointegration and nonlinear adjustment between CO2 and income: The Environmental Kuznets Curve in Spain, 1857–2007," Energy Economics, Elsevier, vol. 34(6), pages 2148-2156.
    6. Schaarschmidt, Mario, 2016. "Frontline employees' participation in service innovation implementation: The role of perceived external reputation," European Management Journal, Elsevier, vol. 34(5), pages 540-549.
    7. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 49-62.
    8. Irena Łącka, 2015. "Evaluation of the Effectiveness of Relations in Network Organizations," Springer Books, in: Włodzimierz Sroka & Štefan Hittmár (ed.), Management of Network Organizations, edition 127, pages 137-152, Springer.
    9. Scott R. Colwell & Ashwin W. Joshi, 2013. "Corporate Ecological Responsiveness: Antecedent Effects of Institutional Pressure and Top Management Commitment and Their Impact on Organizational Performance," Business Strategy and the Environment, Wiley Blackwell, vol. 22(2), pages 73-91, February.
    10. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    11. Welsh, Rick & Glenna, Leland & Lacy, William & Biscotti, Dina, 2008. "Close enough but not too far: Assessing the effects of university-industry research relationships and the rise of academic capitalism," Research Policy, Elsevier, vol. 37(10), pages 1854-1864, December.
    12. Arrow Kenneth J. & Cohen Linda & David Paul A. & Hahn Robert W. & Kolstad Charles D. & Lane Lee & Montgomery W. David & Nelson Richard R. & Noll Roger G. & Smith Anne E., 2009. "A Statement on the Appropriate Role for Research and Development in Climate Policy," The Economists' Voice, De Gruyter, vol. 6(1), pages 1-4, February.
    13. George, Gerard & Zahra, Shaker A. & Wood, D. Jr., 2002. "The effects of business-university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies," Journal of Business Venturing, Elsevier, vol. 17(6), pages 577-609, October.
    14. Lanzi, Elisa & Verdolini, Elena & Haščič, Ivan, 2011. "Efficiency-improving fossil fuel technologies for electricity generation: Data selection and trends," Energy Policy, Elsevier, vol. 39(11), pages 7000-7014.
    15. Li, Ke & Lin, Boqiang, 2015. "Impacts of urbanization and industrialization on energy consumption/CO2 emissions: Does the level of development matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1107-1122.
    16. Dai, Jing & Montabon, Frank L. & Cantor, David E., 2015. "Reprint of “Linking rival and stakeholder pressure to green supply management: Mediating role of top management support”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 124-138.
    17. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    18. David M. Blank & George J. Stigler, 1957. "The Demand and Supply of Scientific Personnel," NBER Books, National Bureau of Economic Research, Inc, number blan57-1.
    19. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    20. Song, Malin & Fisher, Ron & Kwoh, Yusen, 2019. "Technological challenges of green innovation and sustainable resource management with large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 361-368.
    21. Cao, Jing & Ho, Mun Sing & Li, Yating & Newell, Richard G. & Pizer, William A., 2019. "Chinese residential electricity consumption: Estimation and forecast using micro-data," Resource and Energy Economics, Elsevier, vol. 56(C), pages 6-27.
    22. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    Full references (including those not matched with items on IDEAS)

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