Towards carbon neutrality: the impact of innovative city pilot policy on corporate carbon intensity in China

References

• Arrow, K. (1962). Economic welfare and the allocation of resources for invention. Princeton University Press. pp. 609-626.
   Google Scholar
• Bai, C., Du, K., Yu, Y., & Feng, C. (2019). Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis. Energy Economics, 81, 698–708. https://doi.org/10.1016/j.eneco.2019.05.004
   Web of Science ®Google Scholar
• Beck, T., Levine, R., & Levkov, A. (2010). Big bad banks? The winners and losers from bank deregulation in the United States. The Journal of Finance, 65(5), 1637–1667. https://doi.org/10.1111/j.1540-6261.2010.01589.x
   Web of Science ®Google Scholar
• Bennear, L. S., & Stavins, R. N. (2007). Second-best theory and the use of multiple policy instruments. Environmental and Resource Economics, 37(1), 111–129. https://doi.org/10.1007/s10640-007-9110-y
   Web of Science ®Google Scholar
• Bosetti, V., Carraro, C., Duval, R., & Tavoni, M. (2011). What should we expect from innovation? A model-based assessment of the environmental and mitigation cost implications of climate-related R&D. Energy Economics, 33(6), 1313–1320. https://doi.org/10.1016/j.eneco.2011.02.010
   Web of Science ®Google Scholar
• Bronzini, R., & Piselli, P. (2016). The impact of R&D subsidies on firm innovation. Research Policy, 45(2), 442–457. https://doi.org/10.1016/j.respol.2015.10.008
   Web of Science ®Google Scholar
• Calel, R., & Dechezleprêtre, A. (2016). Environmental policy and directed technological change: Evidence from the European carbon market. Review of Economics and Statistics, 98(1), 173–191. https://doi.org/10.1162/REST_a_00470
   Web of Science ®Google Scholar
• Caragliu, A., Del Bo, C. F., Kourtit, K., & Nijkamp, P. (2016). The winner takes it all: Forward-looking cities and urban innovation. The Annals of Regional Science, 56(3), 617–645. https://doi.org/10.1007/s00168-015-0734-5
   Web of Science ®Google Scholar
• Chen, Y. J., Li, P., & Lu, Y. (2018). Career concerns and multitasking local bureaucrats: Evidence of a target-based performance evaluation system in China. Journal of Development Economics, 133, 84–101. https://doi.org/10.1016/j.jdeveco.2018.02.001
   Web of Science ®Google Scholar
• Clausen, T. H. (2009). Do subsidies have positive impacts on R&D and innovation activities at the firm level? Structural Change and Economic Dynamics, 20(4), 239–253. https://doi.org/10.1016/j.strueco.2009.09.004
   Google Scholar
• Corredoira, R. A., & McDermott, G. A. (2014). Adaptation, bridging and firm upgrading: How non-market institutions and MNCs facilitate knowledge recombination in emerging markets. Journal of International Business Studies, 45(6), 699–722. https://doi.org/10.1057/jibs.2014.19
   Web of Science ®Google Scholar
• Cruz, L., & Dias, J. (2016). Energy and CO2 intensity changes in the EU-27: Decomposition into explanatory effects. Sustainable Cities and Society, 26, 486–495. https://doi.org/10.1016/j.scs.2016.03.007
   Web of Science ®Google Scholar
• Dechezleprêtre, A., Martin, R., & Bassi, S. (2019). Climate change policy, innovation and growth. In R. Fouquet (Ed.), Handbook on green growth (pp. 219–239). Edward Elgar Publishing.
   Google Scholar
• Du, K., & Li, J. (2019). Towards a green world: How do green technology innovations affect total-factor carbon productivity. Energy Policy, 131, 240–250. https://doi.org/10.1016/j.enpol.2019.04.033
   Web of Science ®Google Scholar
• Fan, Y., Liu, L.-C., Wu, G., & Wei, Y.-M. (2007). Changes in carbon intensity in China: Empirical findings from 1980–2003. Ecological Economics, 62(3-4), 683–691. https://doi.org/10.1016/j.ecolecon.2006.08.016
   Web of Science ®Google Scholar
• Fischer, C., & Newell, R. G. (2008). Environmental and technology policies for climate mitigation. Journal of Environmental Economics and Management, 55(2), 142–162. https://doi.org/10.1016/j.jeem.2007.11.001
   Web of Science ®Google Scholar
• Ganda, F. (2019). The impact of innovation and technology investments on carbon emissions in selected organisation for economic Co-operation and development countries. Journal of Cleaner Production, 217, 469–483. https://doi.org/10.1016/j.jclepro.2019.01.235
   Web of Science ®Google Scholar
• Gereffi, G. (1999). International trade and industrial upgrading in the apparel commodity chain. Journal of International Economics, 48(1), 37–70. https://doi.org/10.1016/S0022-1996(98)00075-0
   Web of Science ®Google Scholar
• Giuliani, E., Pietrobelli, C., & Rabellotti, R. (2005). Upgrading in global value chains: Lessons from latin American clusters. World Development, 33(4), 549–573. https://doi.org/10.1016/j.worlddev.2005.01.002
   Web of Science ®Google Scholar
• Golombek, R., & Hoel, M. (2005). Climate policy under technology spillovers. Environmental & Resource Economics, 31(2), 201–227. https://doi.org/10.1007/s10640-005-1771-9
   Web of Science ®Google Scholar
• Hering, L., & Poncet, S. (2014). Environmental policy and exports: Evidence from Chinese cities. Journal of Environmental Economics and Management, 68(2), 296–318. https://doi.org/10.1016/j.jeem.2014.06.005
   Web of Science ®Google Scholar
• Huang, M. H., & Chen, D. Z. (2017). How can academic innovation performance in university–industry collaboration be improved? Technological Forecasting and Social Change, 123, 210–215. https://doi.org/10.1016/j.techfore.2016.03.024
   Web of Science ®Google Scholar
• IPCC. (2006). IPCC guidelines for national greenhouse Gas inventories. Intergovernmental Panel on Climate Change.
   Google Scholar
• IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Working Group III contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.
   Google Scholar
• Lachapelle, E., & Paterson, M. (2013). Drivers of national climate policy. Climate Policy, 13(5), 547–571. https://doi.org/10.1080/14693062.2013.811333
   Web of Science ®Google Scholar
• Li, H., & Zhou, L. A. (2005). Political turnover and economic performance: The incentive role of personnel control in China. Journal of Public Economics, 89(9-10), 1743–1762. https://doi.org/10.1016/j.jpubeco.2004.06.009
   Web of Science ®Google Scholar
• Li, S., Liu, J., & Shi, D. (2021). The impact of emissions trading system on corporate energy efficiency: Evidence from a quasi-natural experiment in China. Energy, 233, 121129–121129. https://doi.org/10.1016/j.energy.2021.121129
   Web of Science ®Google Scholar
• Lin, S., Wang, B., Wu, W., & Qi, S. (2018). The potential influence of the carbon market on clean technology innovation in China. Climate Policy, 18(sup1), 71–89. https://doi.org/10.1080/14693062.2017.1392279
   Web of Science ®Google Scholar
• OECD. (2002). Dynamising national innovation systems. OECD Publishing, https://doi.org/10.1787/9789264194465-en
   Google Scholar
• Patterson, M. G. (1996). What is energy efficiency? Energy Policy, 24(5), 377–390. https://doi.org/10.1016/0301-4215(96)00017-1
   Web of Science ®Google Scholar
• Peng, F., Wang, L., Shi, X., & Wu, H. (2022). Does value-added tax reform in services accelerate enterprise upgrading? Micro evidence from China. Applied Economics, 1093–1109. https://doi.org/10.1080/00036846.2021.1975029
   Web of Science ®Google Scholar
• Popp, D. (2010). Innovation and climate policy. Annual Review of Resource Economics, 2(1), 275–298. https://doi.org/10.1146/annurev.resource.012809.103929
   Web of Science ®Google Scholar
• Popp, D. (2012). The role of technological change in green growth. National Bureau of Economic Research. https://doi.org/10.3386/w18506
   Google Scholar
• Shi, D., Yang, Z., & Ji, H. (2022). Energy target-based responsibility system and corporate energy efficiency: Evidence from the eleventh five year plan in China. Energy Policy, 169, 113214. https://doi.org/10.1016/j.enpol.2022.113214
   Web of Science ®Google Scholar
• Su, B., & Ang, B. (2012). Structural decomposition analysis applied to energy and emissions: Some methodological developments. Energy Economics, 34(1), 177–188. https://doi.org/10.1016/j.eneco.2011.10.009
   Web of Science ®Google Scholar
• Su, C. W., Xie, Y., Shahab, S., Faisal, C., Nadeem, M., Hafeez, M., & Qamri, G. M. (2021). Towards achieving sustainable development: Role of technology innovation, technology adoption and CO2 emission for BRICS. International Journal of Environmental Research and Public Health, 18(1), 277. https://doi.org/10.3390/ijerph18010277
   PubMed Web of Science ®Google Scholar
• Teixidó, J., Verde, S. F., & Nicolli, F. (2019). The impact of the EU emissions trading system on low-carbon technological change: The empirical evidence. Ecological Economics, 164, 106347. https://doi.org/10.1016/j.ecolecon.2019.06.002
   Web of Science ®Google Scholar
• van den Bergh, J., Castro, J., Drews, S., Exadaktylos, F., Foramitti, J., Klein, F., Konc, T., & Savin, I. (2021). Designing an effective climate-policy mix: Accounting for instrument synergy. Climate Policy, 745–764. https://doi.org/10.1080/14693062.2021.1907276
   Web of Science ®Google Scholar
• Vera, I., & Langlois, L. (2007). Energy indicators for sustainable development. Energy, 32(6), 875–882. https://doi.org/10.1016/j.energy.2006.08.006
   Web of Science ®Google Scholar
• Wang, J. (2018). Innovation and government intervention: A comparison of Singapore and Hong Kong. Research Policy, 47(2), 399–412. https://doi.org/10.1016/j.respol.2017.12.008
   Web of Science ®Google Scholar
• Wang, Z., Su, B., Xie, R., & Long, H. (2020). China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis. Energy Economics, 85, 104568. https://doi.org/10.1016/j.eneco.2019.104568
   Web of Science ®Google Scholar
• Wilson, C., & Grubler, A. (2011). Lessons from the history of technological change for clean energy scenarios and policies. Natural Resources Forum, 35(3), 165–184. https://doi.org/10.1111/j.1477-8947.2011.01386.x
   Web of Science ®Google Scholar
• Xu, G., & Yang, Z. (2022). The mechanism and effects of national smart city pilots in China on environmental pollution: Empirical evidence based on a DID model. Environmental Science and Pollution Research, 29(27), 41804–41819. https://doi.org/10.1007/s11356-021-18003-2
   PubMed Web of Science ®Google Scholar
• Xu, L., Chen, N., & Chen, Z. (2017). Will China make a difference in its carbon intensity reduction targets by 2020 and 2030? Applied Energy, 203, 874–882. https://doi.org/10.1016/j.apenergy.2017.06.087
   Web of Science ®Google Scholar
• Zhang, Q., Yu, Z., & Kong, D. (2019). The real effect of legal institutions: Environmental courts and firm environmental protection expenditure. Journal of Environmental Economics and Management, 98, 102254. https://doi.org/10.1016/j.jeem.2019.102254
   Web of Science ®Google Scholar
• Zhang, S., Wang, X., & Zhang, B. (2022). The policy effects of innovative city pilot on the dual efficiency of industry–university–research knowledge flow. Technology Analysis & Strategic Management, 1038–1049. https://doi.org/10.1080/09537325.2021.1942446
   Web of Science ®Google Scholar
• Zhang, Y. J., Shi, W., & Jiang, L. (2020). Does China’s carbon emissions trading policy improve the technology innovation of relevant enterprises? Business Strategy and the Environment, 29(3), 872–885. https://doi.org/10.1002/bse.2404
   Web of Science ®Google Scholar
• Zhu, B., Wang, K., Chevallier, J., Wang, P., & Wei, Y. M. (2015). Can China achieve its carbon intensity target by 2020 while sustaining economic growth? Ecological Economics, 119, 209–216. https://doi.org/10.1016/j.ecolecon.2015.08.015
   Web of Science ®Google Scholar