This paper examines the long-run relationship between innovation and macroeconomic and environmental factors in the EU during the period 1990–2020. In the paper, the patents are used as a proxy of the innovation index. The market openness, per capita GDP, foreign direct investment, and oil prices are used as proxies for macroeconomic factors whereas per capita energy consumption, per capita CO2 emissions, and renewable energy sources are proxies for environmental factors. For the analysis of this relationship, two-panel count data models are used, the Poisson regression model and negative binomial model as well as the ARDL cointegration technique and the Dumitrescu and Hurlin causality test. The results of the negative binomial model showed that trade openness, renewable energy sources, and CO2 emissions have a significant and negative relationship with innovation, while GDP, investment, energy consumption, and oil prices have a significant and positive relationship with innovation. Furthermore, the causality test of Dumitrescu and Hurlin showed the presence of an unidirectional causal relationship between per capita CO2 emissions and per capita energy consumption towards innovation.

 

innovation; macroeconomic factors; environmental factors; Poisson regression model; negative binomial model; Dumitrescu and Hurlin causality; European countries

Almeida R, Fernandes AM (2008). Openness and technological innovations in developing countries: Evidence from firm-level surveys. The Journal of Development Studies 44(5): 701–727.

Aghion P, Bloom N, Blundell R, et al. (2005). Competition and innovation: An inverted-U relationship. The Quarterly Journal of Economics 120(2): 701–728. doi: 10.1093/qje/120.2.701

Boonman H, Verstraten P, Van der Weijde AH (2023). Macroeconomic and environmental impacts of circular economy innovation policy. Sustainable Production and Consumption 35: 216–228.

Breusch T, Pagan A (1980). The Lagrange multiplier test and its application to model specifications in econometrics. The Review of Economic Studies 47(1): 239–253. doi: 10.2307/2297111

Cameron AC, Trivedi PK (2013). Regression Analysis of Count Data. Cambridge University Press.

Cheon A, Urpelainen J (2012). Oil prices and energy technology innovation: An empirical analysis. Global Environmental Change 22(2): 407–417. doi: 10.1016/j.gloenvcha.2011.12.001

Climate Transparency Report. Available at: https://www.climate-transparency.org (accessed on 19 September 2023).

Dritsaki M, Dritsaki C (2023a). R&D expenditures on innovation: A panel cointegration study of the EU countries. Sustainability 15(8): 6637. doi: 10.3390/su15086637.

Dritsaki M, Dritsaki C (2023b). The relationship between health expenditure, CO2 emissions, and economic growth in G7: Evidence from heterogeneous panel data. Journal of the Knowledge Economy. doi: 10.1007/s13132-023-01349-y

Dumitrescu EI, Hurlin C (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling 29: 1450–1460. doi: 10.1016/j.econmod.2012.02.014

Freimane R, Bāliņa S (2016). Research and development expenditures and economic growth in the EU: A panel data analysis. Economics and Business 29(1): 5–11. doi: 10.1515/eb-2016-0016

Fons-Rosen C, Kalemli-Ozcan S, Sorensen BE, et al. (2017). Foreign Investment and Domestic Productivity: Identifying Knowledge Spillovers and Competition Effects (NBER Working Paper No. 23643). https://doi.org/10.3386/w23643

Gedikli A, Derindag MR (2023). Innovation, macroeconomic effects, and environmental degradation: The case of Mediterranean countries. In: Research Anthology on Macroeconomics and the Achievement of Global Stability. IGI Global; pp. 1765–1789.

Ghimire S, Paudel NS (2019). R&D, FDI, and innovation: Examination of the patent applications in the OECD Countries. Journal of Development Innovations 3(2): 1–11.

Granger CWJ (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society 37(3): 424–438. doi: 10.2307/1912791

Grossman G, Helpman E (1991). Trade, knowledge spillovers, and growth, European Economic Review 35(2–3): 517–526. doi: 10.1016/0014-2921(91)90153-A

Guillouzouic-Le Corff A (2018). Did oil prices trigger an innovation burst in biofuels? Energy Economics 75: 547–559. doi: 10.1016/j.eneco.2018.08.031

Guo Y, Yu C, Zhang H, Cheng H (2021). Asymmetric between oil prices and renewable energy consumption in the G7 countries. Energy 226: 120319. doi: 10.1016/j.energy.2021.120319

Ηausman JA (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society 46(6): 1251–1271. doi: 10.2307/1913827

Hausman J, Hall BH, Griliches Z (1984). Econometric models for count data with an application to the patents-R&D Relationship. Econometrica 52(4): 909–938.

Jarque C, Bera A (1987). A test for normality of observations and regression residuals. International Statistical Review 55(2): 163–172. doi: 10.2307/1403192

Kuck K, Schweikert K (2017). A Markov regime-switching model of crude oil market integration. Journal of Commodity Markets 6: 16–31. doi: 10.1016/j.jcomm.2017.03.001

Lazzarotti V, Bengtsson L, Manzini R, et al. (2017). Openness and innovation performance: An empirical analysis of openness determinants and performance mediators. European Journal of Innovation Management 20(3): 463–492. doi:10.1108/EJIM-06-2016-0061

Liu Y, Wang X (2021). The Impact of FDI on Domestic Firm Innovation: Evidence from Foreign Investment Deregulation in China (Policy Research Working Papers No. 9672). World Bank, Washington, DC. http://hdl.handle.net/10986/35633

Maradana RP, Pradhan RP, Dash S, et al. (2017). Does innovation promote economic growth? Evidence from European countries. Journal of Innovation and Entrepreneurship 6(1): 1–23. doi: 10.1186/s13731-016-0061-9

Mohamed MM, Liu P, Nie G (2022). Causality between technological innovation and economic growth: Evidence from the economies of developing countries, Sustainability 14(6): 1–39. doi: 10.3390/su14063586

Mongo M, Belaid F, Ramdani B (2021). The effects of environmental innovations on CO2 emissions: Empirical evidence from Europe. Environmental Science & Policy 118: 1–9. doi: 10.1016/j.envsci.2020.12.004

Murad MW, Alam MM, Noman AHM, Ozturk I (2019). Dynamics of technological innovation, energy consumption, energy price and economic growth in Denmark. Environmental Progress & Sustainable Energy 38(2): 22–29. doi: 10.1002/ep.12905

Nunes IC, Catalão-Lopes M (2020). The impact of oil shocks on innovation for alternative sources of energy: Is there an asymmetric response when oil prices go up or down? Journal of Commodity Markets 19: 100108. doi: 10.1016/j.jcomm.2019.100108

Osabuohien-Irabor O, Drapkin IM (2022). The impact of technological innovation on energy consumption in OECD economies: The role of outward foreign direct investment and international trade openness. International Journal of Energy Economics and Policy 12(4): 317–333. doi: 10.32479/ijeep.13091

Palmgren J (1981). The fisher information matrix for log linear models arguing conditionally on observed explanatory variable. Biometrika 68(2): 563–566. doi: 10.1093/biomet/68.2.563

Pece AM, Simona OEO, Salisteanu F (2015). Innovation and economic growth: An empirical analysis for CEE countries. Procedia Economics and Finance 26: 461–467. doi: 10.1016/S2212-5671(15)00874-6

Pesaran MH (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Available online: https://ssrn.com/abstract=572504 (accessed on 18 September 2023).

Pesaran MH (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics 22: 265–312. doi: 10.1002/jae.951

Popp D (2005). Lessons from patents: using patents to measure technological change in environmental models. Ecological Economics 54(2–3): 209–226. doi: 10.1016/j.ecolecon.2005.01.001

Pradhan RP, Arvin MB, Hall JH, Nair M (2016). Innovation, financial development and economic growth in eurozone countries. Applied Economics Letters 23(16): 1141–1144.

Romer PM (1986). Increasing returns and long-run growth. Journal of Political Economy 94(5): 1002–1037. doi: abs/10.1086/261420

Schumpeter JA (1934). The Theory of Economic Development: An Inquiry Into Profits, Capital, Credit, Interest, and the Business Cycle. Harvard University Press.

Selcuk M, Gormus S, Guven M (2022). Do environmental and economic factors matter for innovation? Evidence from oil-importing and oil-exporting countries. International Journal of Economic and Administrative Studies 36: 95–110. doi: 10.18092/ulikidince.1014615

Solarin SA, Bello MO, Tiwari AT (2022). The impact of technological innovation on renewable energy production: Accounting for the roles of economic and environmental factors using a method of moments quantile regression. Heliyon 8(2): e09913. doi: 10.1016/j.heliyon.2022.e09913

Su HN, Moaniba IM (2017). Does innovation respond to climate change? Empirical evidence from patents and greenhouse gas emissions. Technological Forecasting and Social Change 122: 49–62. doi: 10.1016/j.techfore.2017.04.017

Ulku H (2004). R&D, Innovation, and Economic Growth: An Empirical Analysis (IMF Working Paper No.2004/185). https://www.imf.org/en/Publications/WP/Issues/2016/12/30/R-D-Innovation-and-Economic-Growth-An-Empirical-Analysis-16927

Vetsikas A, Stamboulis Y (2021). Does innovation activity affect trade openness? An ARDL bounds testing approach for 10 European countries. The Journal of International Trade & Economic Development 32(1): 163–188. doi: 10.1080/09638199.2022.2080855

Wang C (2022). Green technology innovation, energy consumption structure and sustainable improvement of enterprise performance. Sustainability 14(6): 10168. doi: 10.3390/su141610168

Xia T, Ji O, Zhang D, Han J (2019). Asymmetric and extreme influence of energy price changes on renewable energy stock performance. Journal of Cleaner Production 241: 118338. doi: 10.1016/j.jclepro.2019.118338

Yu D, Soh W, Amin Noordin BA, et al. (2022). The impact of innovation on CO2 emissions: The threshold effect of financial development. Frontiers in Environmental Science 10: 980267. doi: 10.3389/fenvs.2022.980267