The impact of green fiscal policy on green technology investment: Evidence from China

Authors

  • Prince Asare Vitenu-Sackey Jiangsu University
  • Stephen Oppong School of Management, Jiangsu University, No 301 Xuefu Road, Zhenjiang, 212013, Jiangsu Province, P. R. China
  • Isaac Akpemah Bathuure School of Finance and Economics, Jiangsu University, No 301 Xuefu Road, Zhenjiang, 212013, Jiangsu Province, P. R. China

DOI:

https://doi.org/10.17722/ijme.v16i3.1251

Keywords:

Green technology investment, Green technology total factor productivity, Green technology efficiency, Green fiscal policy, Environmental tax and expenditure

Abstract

Our objective is to investigate the impact of green fiscal policy on green technology investment in China. We employed some econometric techniques as our strategy for the empirical analysis. We used a quantile regression with the lad method in our long-run estimations. The results suggest that green fiscal policy has a heterogeneous impact on green technology investment total factor productivity considering the kind of proxy and magnitude of the coefficients. However, we observed that environmental tax as a proxy measure of green fiscal policy positively impacts green technology investment total factor productivity while environmental expenditure negatively does. Our findings imply that when green technology investment total factor productivity is on the ascendency, increasing the existing energy consumption structure could decrease green technology investment total factor productivity. In other words, provinces with a higher level of green technology investment total factor productivity should ensure a reduction in their existing energy consumption structure to promote green technology investment. Also, we conclude that green technology investment progress is opposed by increasing research and development, gross domestic product, and existing energy consumption structure through environmental expenditure. To sustain green technology investment progress, environmental taxes be increased substantially to deter polluters by adopting green technologies.

References

Álvarez-Ayuso, I.C., Kao, C., & Romero-Jordánc, D. (2018). Long run effect of public grants and tax credits on R&D investment: a non-stationary panel data approach, Econ. Modell. 75, 93e104.

Barradale, M.J. (2010). Impact of public policy uncertainty on renewable energy investment: wind power and the production tax credit, Energy Policy 38 (2010)7698e7709.

Buchinsky, M. (1994). Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression. Econometrica, 62(2), 405-458.

Chang, A.C. (2018). Tax policy endogeneity: evidence from r&d tax credits. Econ. Innovat. N. Technol., 27, 809e833.

Chang, K., Wan, Q., Lou, Q., Chen, Y., & Wang, W. (2019). Green fiscal policy and firms' investment efficiency: New insights into firm-level panel data from the renewable energy industry in China. Renewable Energy. https://doi.org/10.1016/j.renene.2019.11.064

Coad A., & Rao R. (2011). The firm-level employment effects of innovations in high-tech US manufacturing industries. Journal of Evolutionary Economics, 21(2), 255-283.

Conrad, J.M., & Nøstbakken, L. (2018). Innovation and site quality: implications for the timing of investments in renewable energy. Energy, 148 (2018) 1173e1180.

Comello, S., & Reichelstein, S. (2016). The US investment tax credit for solar energy: alternatives to the anticipated 2017 step-down. Renew. Sustain. Energy Rev. 55 (2016) 591e602.

Cosconati, M., & Sembenelli, A. (2016). Firm subsidies and the innovation output: what can we learn by looking at multiple investment inputs. Ital. Econ. J., 2, 31e55.

Decramer, S., & Vanormelingen, S. (2016). The effectiveness of investment subsidies: evidence from a regression discontinuity design. Small Bus. Econ., 47, 1007e1032.

Dockner, E.J., Kucsera, D., & Rammerstorfer, M. (2013). Investment, firm value, and risk for a system operator balancing energy grids. Energy Econ. 37, 182e192.

Finley, A.R., Lusch, S.J., & Cook, K.A. (2014). The effectiveness of the R&D tax credit: evidence from the alternative simplified credit. J. Am. Tax. Assoc. 37, 157e181.

Freitas, I.B., Castellacci, F., Fontana, R., Malerba, F., & Vezzulli, A. (2017). Sectors and the additionality effects of R&D tax credits: a cross-country micro-econometric analysis. Res. Policy, 46, 57e72.

Gu, & Shi (2012). Let Green Economy Become the Engine of Steady Growth and Structural Adjustment. www.zyjjw.cn/finance/china/55619.html. (Accessed 22 July 2018).

He, L., Zhang, L., Zhong, Z., Wang, D., & Wang, F. (2019). Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China. Journal of Cleaner Production, 208, 363e372. https://doi.org/10.1016/j.jclepro.2018.10.119.

He, L., Liu, R., Zhong, Z., Wang, D., & Xia, Y. (2019). Can green financial development promote renewable energy investment efficiency- a consideration of bank credit. Renew. Energy, 143, 974e984.

Hochman, G., & Timilsina, G.R. (2017). Energy efficiency barriers in commercial and industrial firms in Ukraine: an empirical analysis. Energy Econ. 63, 22e30.

Hong, C., & Lee, J.-D. (2016). Macroeconomic effects of R&D tax credits on small and medium enterprises. Econ. Syst. Res. 28, 467e481.

Koenker, R., & Bassett, G. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.

Koenker R. (2005). Quantile regression. Cambridge University Press: New York.

Im, K. S., Pesaran, M. H. & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74.

Instefjord, N., Nawosah, V., Yang, P. (2016). A contingent claims analysis of optimal investment subsidy. J. Econ. Dyn. Control, 73 (2016) 354e372.

Jaraitė, J., & Kažukauskas, A. (2013). The profitability of electricity generating firms and policies promoting renewable energy. Energy Econ. 40, 858e865.

Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-144.

Kim, K.-T., Lee, D.J., Park, S.-J., & Zhang, Y., & Sultanov, A. (2015). Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis. Renew. Sustain. Energy Rev. 47 (2015) 694e702.

Kim, K., Park, H., & Kim, H. (2017). Real options analysis for renewable energy investment decisions in developing countries. Renew. Sustain. Energy Rev. 75 (2017) 918e926.

Levin, A., Lin, C.F., Chu, C.S.J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24.

Liang, Y., Yu, B., Wang, L. (2019). Costs and benefits of renewable energy development in China power industry. Renew. Energy, 131 (2019), 700e712.

Li, Y., Zhang, Q., Liu, B., McLellan, B., Gao, Y., & Tang, Y. (2018). Substitution effect of new energy vehicle credit program and corporate average fuel consumption regulation for green-car subsidy. Energy, 152 (2018) 223e236.

Liu, C., Li, N., & Zha, D. (2016). On the impact of fit policies on renewable energy investment: based on the solar power support policies in China's power market. Renew. Energy, 94 (2016) 251e267.

Liu, W., Zhang, X., & Feng, S. (2019). Does renewable energy policy work- Evidence from a panel data analysis. Renew. Energy, 135 (2019) 635e642.

Maddala, G.S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652. DOI/abs/10.1111/1468-0084.0610s1631.

Mundaca, G. (2017). Energy subsidies, public investment and endogenous growth. Energy Policy, 110 (2017) 693e709, 580.

Neicu, D., Teirlinck, P., & Kelchtermans, S. (2016). Dipping in the policy mix: do R&D subsidies foster behavioral additionality effects of R&D tax credits. Econ. Innovat. N. Technol. 25, 218e239.

Niesten, E., Jolink, A., & Chappin, M. (2018). Investments in the Dutch onshore wind energy industry: a review of investor profiles and the impact of renewable energy subsidies. Renew. Sustain. Energy Rev. 81 (2018) 2519e2525.

Ozorhon, B., Batmaz, A., & Caglayan, S. (2018). Generating a framework to facilitate decision making in renewable energy investments. Renew. Sustain. Energy Rev. 95, 217e226.

Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels, Cambridge University, Working Paper, No. 0435.

Punda, L., Capuder, T., Pandžić, H., & Delimar, M. (2017). Integration of renewable energy sources in southeast Europe: a review of incentive mechanisms and feasibility of investments. Renew. Sustain. Energy Rev. 71, 77e88.

Rammer, C., Gottschalk, S., Peneder, M., Wörter, M., Stucki, T., & Arvanitis, S. (2017). Does energy policy hurt international competitiveness of firms- a comparative study for Germany, Switzerland and Austria. Energy Policy, 109, 154e180.

Rao, N. (2016). Do tax credits stimulate r&d spending? the effect of the R&D tax 660 credit in its first decade. J. Public Econ. 140, 1e12.

Sadath, A.C., & Acharya, R.H. (2015). Effects of energy price rise on investment: 595 Firm level evidence from Indian manufacturing sector. Energy Econ. 49, 516e522.

Salas-Fumás, V., Rosell-Martínez, J., & Delgado-Gόmez, J. M. (2016).Capacity, investment and market power in the economic value of energy firms. Energy Econ.53, 28e39.

Sim, J. (2018). The economic and environmental values of the R&D investment in a renewable energy sector in South Korea. J. Clean. Prod. 189, 297e306.

Stucki, T., & Woerter, M. (2016). Intra-firm diffusion of green energy technologies and the choice of policy instruments. J. Clean. Prod. 131, 545e560.

Sun, Q., Tong, W., & Yu, Q. (2002). Determinants of foreign direct investment across China. Journal of International Money and Finance, 21(1), 79-113. DOI: https://doi.org/10.1016/S0261-5606(01)00032-8.

Tian, Y. (2018). Optimal policy for attracting fdi: investment cost subsidy versus tax rate reduction. Int. Rev. Econ. Financ. 53, 151e159.

Upreti, G., & Greene, D.L., Duleep, K., & Sawhney, R. (2016). Impacts of the American recovery and reinvestment act and the investment tax credit on the north American non-automotive PEM fuel cell industry. Int. J. Hydrogen Energy, 41, 3664e3675.

Uz, D. (2018). Energy efficiency investments in small and medium sized manufacturing firms: the case of California energy crisis. Energy Econ. 70(620), 421e428.

Wei, W., & Jinglin, C. (2019). Research on the synergy between green credit and environmental fiscal policy. Science & Technology Progress and Policy, 36(12), 21-27.

Yang, Y.-C., Nie, P.-Y., Liu, H.-T., & Shen, M.-H. (2018). On the welfare effects of subsidy game for renewable energy investment: toward a dynamic equilibrium model. Renew. Energy, 121, 420e428.

Yoon, K.H., & Ratti, R.A. (2011). Energy price uncertainty, energy intensity and firm investment. Energy Econ. 33, 67e78.

Yu, F., Guo, Y., Le-Nguyen, K., Barnes, S.J., & Zhang, W. (2016). The impact of government subsidies and enterprises' R&D investment: a panel data study from renewable energy in China. Energy Policy, 89, 106e113.

Yuyin, Y., & Jinxi, L. (2018). The effect of governmental policies of carbon taxes and energy-saving subsidies on enterprise decisions in a two-echelon supply chain. J. Clean. Prod. 181, 675e691.

Zeng, S., Liu, Y., Liu, C., & Nan, X. (2017). A review of renewable energy investment in the BRICS countries: history, models, problems and solutions. Renew. Sustain. Energy Rev. 74, 860e872.

Zeng, S., Jiang, C., Ma, C., & Su, B. (2018). Investment efficiency of the new energy industry in China. Energy Econ. 70, 536e544.

Zeng, M., Liu, X., Li, Y., et al. (2014). Review of renewable energy investment and financing in China: status, mode, issues and countermeasures. Renew. Sustain. Energy Rev. 31 (2), 23e37.

Zhang, M.M., Zhou, P., Zhou, D.Q. (2016). A real options model for renewable energy investment with application to solar photovoltaic power generation in China. Energy Econ. 59 (2016) 213e226.

Zhang, M.M., Zhou, D.Q., Zhou, P., Chen, H.T. (2017). Optimal design of subsidy to stimulate renewable energy investments: the case of China. Renew. Sustain. Energy Rev., 71, 873e883.

Zhang, H., Li, L., Zhou, D., & Zhou, P. (2014). Political connections, government subsidies and firm financial performance: evidence from renewable energy manufacturing in China. Renew. Energy, 63, 330e336.

Zhang, H., Zheng, Y., Zhou, D., & Zhu, P. (2015). Which subsidy mode improves the financial performance of renewable energy firms? a panel data analysis of wind and solar energy companies between 2009 and 2014. Sustainability, 7, 16548e16560.

Zhao, X., Yao, J., Sun, C., & Pan, W. (2019). Impacts of carbon tax and tradable permits on wind power investment in China. Renew. Energy, 135, 1386e1399.

Downloads

Published

28-04-2021

How to Cite

Vitenu-Sackey, P. A., Oppong, S., & Akpemah Bathuure, I. (2021). The impact of green fiscal policy on green technology investment: Evidence from China. International Journal of Management Excellence (ISSN: 2292-1648), 16(3), 2348–2358. https://doi.org/10.17722/ijme.v16i3.1251