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Natural resources, technological innovation, and eco-efficiency: striking a balance between sustainability and growth in Egypt

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Abstract

Striking a balance between economic growth and environmental protection remains a crucial component of the sustainable development agenda. This study defines economic efficiency using an ecological efficiency approach, which measures the overall economic output generated per global hectare of ecological productive resources utilized. Examining the Egyptian economy from 1980 to 2018, the study investigates two prominent trends: the decreasing reliance on natural resource rents and the increasing growth of technological innovation. By employing the autoregressive distributed lag (ARDL) bounds test, the presence of cointegration is confirmed in all models, indicating that the variables converge in the long run. Additionally, the Spectral Granger-causality test is used to determine the causality direction across the permanent, intermediate, and temporary frequency domains. The results indicate that oil, coal, and natural gas impede eco-efficiency in Egypt, and the causality is unidirectional in the medium and long term, running from economic dependence on their extraction to eco-efficiency. As for the impact of technological innovation, the long-term analysis demonstrates that both domestically created and foreign (transferred) innovations significantly enhance eco-efficiency. The causality is unidirectional as well, with innovation leading to improvements in the eco-efficiency indicator. The study concludes that technological innovation offers essential economic and environmental benefits necessary for building an eco-efficient economy in Egypt. As a result, the study puts forth several policy recommendations aimed at facilitating well-informed decision-making.

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Data availability

The datasets used and/or analysed can be accessed online: 2022 National Footprint and Biocapacity Accounts, Global Footprint Network. Available online: https://data.footprintnetwork.org/; WDI available at https://databank.worldbank.org/source/worlddevelopment indicators.

Notes

  1. Based on the GDP estimates from the World Development Indicators and the ecological footprint of consumption from the 2022 National Footprint and Biocapacity Accounts compiled by the Global Footprint Network.

Abbreviations

UN:

United Nations

SDGs:

Sustainable development goals

Eco-efficiency:

Economic efficiency

ESCAP:

Economic and social commission for Asia and the pacific

GDP:

Gross domestic product

WDI:

World development indicators

GFN:

Global footprint network

COP27:

27Th United Nations climate change conference

CO2 :

Carbon dioxide emissions

MENA countries:

Middle east and north Africa countries

EF:

Ecological footprint

ARDL:

Autoregressive distributed lag model

ADF:

Augmented Dickey–Fuller test

AO:

Additive outlier test

IO:

Innovative outlier test

ECM:

Error correction model

CUSUM:

Cumulative sum test

CUSUMSQ:

Cumulative sum of square

References

  • Ahmad, M., & Wu, Y. (2022). Natural resources, technological progress, and ecological efficiency: Does financial deepening matter for G-20 economies? Resources Policy, 77, 102770.

    Article  Google Scholar 

  • Ahmad, M., Jiang, P., Majeed, A., Umar, M., Khan, Z., & Muhammad, S. (2020a). The dynamic impact of natural resources, technological innovations and economic growth on ecological footprint: An advanced panel data estimation. Resources Policy, 69, 101817. https://doi.org/10.1016/j.resourpol.2020.101817

    Article  Google Scholar 

  • Ahmad, M., Jiang, P., Majeed, A., Umar, M., Khan, Z., & Muhammad, S. (2020b). The dynamic impact of natural resources, technological innovations and economic growth on ecological footprint: An advanced panel data estimation. Resources Policy, 69, 101817.

    Article  Google Scholar 

  • Albort-Morant, G., Leal-Millán, A., & Cepeda-Carrión, G. (2016). The antecedents of green innovation performance: A model of learning and capabilities. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2016.04.052

    Article  Google Scholar 

  • Alfalih, A. A., & Hadj, T. B. (2022). Financialization, natural resources rents and environmental sustainability dynamics in Saudi Arabia under high and low regimes. Resources Policy. https://doi.org/10.1016/j.resourpol.2022.102593

    Article  Google Scholar 

  • Ali, S. A., Alharthi, M., Hussain, H. I., Rasul, F., Hanif, I., Haider, J., & Abbas, Q. (2021). A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management. Technological Forecasting and Social Change, 166, 120573.

    Article  Google Scholar 

  • Ali, M., Kirikkaleli, D., Sharma, R., & Altuntaş, M. (2022). The nexus between remittances, natural resources, technological innovation, economic growth, and environmental sustainability in Pakistan. Environmental Science and Pollution Research, 29(50), 75822–75840.

    Article  Google Scholar 

  • Bekun, F. V., Alola, A. A., & Sarkodie, S. A. (2019). Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16- EU countries. Science of the Total Environment, 657, 1023–1029. https://doi.org/10.1016/j.scitotenv.2018.12.104

    Article  CAS  Google Scholar 

  • Breitung, J., & Candelon, B. (2006). Testing for short-and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363–378.

    Article  Google Scholar 

  • Bublitz, A., Keles, D., Zimmermann, F., Fraunholz, C., & Fichtner, W. (2019). A survey on electricity market design: Insights from theory and real-world implementations of capacity remuneration mechanisms. Energy Economics, 80, 1059–1078. https://doi.org/10.1016/j.eneco.2019.01.030

    Article  Google Scholar 

  • Bugden, D. (2022). Technology, decoupling, and ecological crisis: Examining ecological modernization theory through patent data. Environmental Sociology, 8(2), 228–241.

    Article  Google Scholar 

  • Chen, W., & Lei, Y. (2018). The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression. Renewable Energy. https://doi.org/10.1016/j.renene.2018.02.026

    Article  Google Scholar 

  • Cheng, Z., Li, X., & Wang, M. (2021). Resource curse and green economic growth. Resources Policy, 74, 102325.

    Article  Google Scholar 

  • Dai, Z. M., Shen, X., & Guo, L. (2021). Technological innovation on economic growth from the perspective of investment-oriented environmental regulations: Considering the threshold effect of China human capital. Applied Economics. https://doi.org/10.1080/00036846.2021.1904128

    Article  Google Scholar 

  • Dell’Anno, R., & Maddah, M. (2022). Natural resources, rent seeking and economic development. An analysis of the resource curse hypothesis for Iran. Macroeconomics and Finance in Emerging Market Economies, 15(1), 47–65.

    Article  Google Scholar 

  • Dong, K., Sun, R., & Dong, X. (2018). CO2 emissions, natural gas and renewables, economic growth: Assessing the evidence from China. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2018.05.322

    Article  Google Scholar 

  • Erdoğan, S., Çakar, N. D., Ulucak, R., & Kassouri, Y. (2021). The role of natural resources abundance and dependence in achieving environmental sustainability: Evidence from resource-based economies. Sustainable Development, 29(1), 143–154.

    Article  Google Scholar 

  • UN ESCAP (2009) Eco-efficiency indicators: measuring resource-use efficiency and the impact of economic activities on the environment. United Nations Economic and Social Commission for Asia and the Pacific Bangkok, Thailand ST/ESCAP/2561

  • Fu, W., Turner, J. C., Zhao, J., & Du, G. (2015). Ecological footprint (EF): An expanded role in calculating resource productivity (RP) using China and the G20 member countries as examples. Ecological Indicators, 48, 464–471.

    Article  Google Scholar 

  • Fuinhas, J. A., & Marques, A. C. (2013). Rentierism, energy and economic growth: The case of Algeria and Egypt (1965–2010). Energy Policy, 62, 1165–1171.

    Article  Google Scholar 

  • GFN (2022) National Footprint and Biocapacity Accounts 2022 edition, Global Footprint Network. Available online: http://data.footprintnetwork.org/?_ga=2.6609591.481121454.1652472419-2147145951.1637574805

  • Ghisetti, C., & Quatraro, F. (2017). Green technologies and environmental productivity: A cross-sectoral analysis of direct and indirect effects in Italian regions. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2016.10.003

    Article  Google Scholar 

  • Halkos, G. E., & Tsirivis, A. S. (2019). Effective energy commodity risk management: Econometric modeling of price volatility. Economic Analysis and Policy, 63, 234–250. https://doi.org/10.1016/j.eap.2019.06.001

    Article  Google Scholar 

  • He, Y., Li, X., Huang, P., & Wang, J. (2022). Exploring the road toward environmental sustainability: Natural resources, renewable energy consumption, economic growth, and greenhouse gas emissions. Sustainability, 14(3), 1579. https://doi.org/10.3390/su14031579

    Article  CAS  Google Scholar 

  • Huang, M., Ding, R., & **n, C. (2021). Impact of technological innovation and industrial-structure upgrades on ecological efficiency in China in terms of spatial spillover and the threshold effect. Integrated Environmental Assessment and Management. https://doi.org/10.1002/ieam.4381

    Article  Google Scholar 

  • Hussain, M., & Dogan, E. (2021). The role of institutional quality and environment-related technologies in environmental degradation for BRICS. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.127059

    Article  Google Scholar 

  • Iorember, P. T., Goshit, G. G., & Dabwor, D. T. (2020). Testing the nexus between renewable energy consumption and environmental quality in Nigeria: The role of broad-based financial development. African Development Review, 32(2), 163–175.

    Article  Google Scholar 

  • Ke, H., Dai, S., & Yu, H. (2021). Spatial effect of innovation efficiency on ecological footprint: City-level empirical evidence from China. Environmental Technology & Innovation, 22, 101536.

    Article  Google Scholar 

  • Khalid, K., Hussain, B., & Ali, S. (2021). Evaluating eco-efficiency in consumption and production through sustainable utilization of resources: A panel analysis of APAC by population. Renewable Energy, 170, 1096–1106.

    Article  Google Scholar 

  • Khan, Z., Ali, M., Kirikkaleli, D., Wahab, S., Jiao, Z., 2020b. The impact of technological innovation and public-private partnership investment on sustainable environment in China: consumption-based carbon emissions analysis. Sustain. Dev. pp. 1–14. https://doi.org/10.1002/sd.2086.

  • Khurshid, A., Rauf, A., Calin, A. C., Qayyum, S., Mian, A. H., & Fatima, T. (2022). Technological innovations for environmental protection: role of intellectual property rights in the carbon mitigation efforts. Evidence from western and southern Europe. International Journal of Environmental Science and Technology, 19(5), 3919–3934.

    Article  Google Scholar 

  • Kongbuamai, N., Bui, Q., Yousaf, H. M. A. U., & Liu, Y. (2020). The impact of tourism and natural resources on the ecological footprint: A case study of ASEAN countries. Environmental Science and Pollution Research International, 27(16), 19251–19264. https://doi.org/10.1007/s11356-020-08582-x

    Article  Google Scholar 

  • Kripfganz S, Schneider DC (2018) ardl: Estimating autoregressive distributed lag and equilibrium correction models. In Proceedings of the 2018 London Stata conference (p. 59).

  • Kripfganz, S., & Schneider, D. C. (2020). Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models 1. Oxford Bulletin of Economics and Statistics, 82(6), 1456–1481.

    Article  Google Scholar 

  • Langnel, Z., Amegavi, G. B., Donkor, P., & Mensah, J. K. (2021). Income inequality, human capital, natural resource abundance, and ecological footprint in ECOWAS member countries. Resources Policy, 74, 102255. https://doi.org/10.1016/j.resourpol.2021.102255

    Article  Google Scholar 

  • Li, J., Chen, L., Chen, Y., & He, J. (2022). Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China. Managerial and Decision Economics. https://doi.org/10.1002/mde.3406

    Article  Google Scholar 

  • Luo, X., & Zhang, W. (2021). Green innovation efficiency: A threshold effect of research and development. Clean Technologies and Environmental Policy, 23(1), 285–298. https://doi.org/10.1007/s10098-020-01977-x

    Article  Google Scholar 

  • Ma, C., & Qamruzzaman, M. (2022). An asymmetric nexus between urbanization and technological innovation and environmental sustainability in Ethiopia and Egypt: What is the role of renewable energy? Sustainability, 14(13), 7639.

    Article  CAS  Google Scholar 

  • Majeed, A., Wang, L., Zhang, X., & Kirikkaleli, D. (2021). Modeling the dynamic links among natural resources, economic globalization, disaggregated energy consumption, and environmental quality: Fresh evidence from GCC economies. Resources Policy, 73, 102204.

    Article  Google Scholar 

  • Miao, C., Fang, D., Sun, L., & Luo, Q. (2017). Natural resources utilization efficiency under the influence of green technological innovation. Resources, Conservation and Recycling, 126, 153–161.

    Article  Google Scholar 

  • Namazi, M., & Mohammadi, E. (2018). Natural resource dependence and economic growth: A TOPSIS/DEA analysis of innovation efficiency. Resources Policy, 59, 544–552. https://doi.org/10.1016/j.resourpol.2018.09.015

    Article  Google Scholar 

  • Nathaniel, S. P., Yalçiner, K., & Bekun, F. V. (2021). Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS. Resources Policy, 70, 101924. https://doi.org/10.1016/j.resourpol.2020.101924

    Article  Google Scholar 

  • Okoye, L. U., Adeleye, B. N., Okoro, E. E., Okoh, J. I., Ezu, G. K., & Anyanwu, F. A. (2022). Effect of gas flaring, oil rent and fossil fuel on economic performance: The case of Nigeria. Resources Policy, 77, 102677.

    Article  Google Scholar 

  • Olawumi, T. O., & Chan, D. W. M. (2018). A scientometric review of global research on sustainability and sustainable development. Journal of Cleaner Production, 183, 231–250. https://doi.org/10.1016/j.jclepro.2018.02.162

    Article  Google Scholar 

  • Onifade, S. T. (2023). Environmental impacts of energy indicators on ecological footprints of oil-exporting African countries: Perspectives on fossil resources abundance amidst sustainable development quests. Resources Policy, 82, 103481.

    Article  Google Scholar 

  • Perron P (1989) The great crash, the oil price shock, and the unit root hypothesis. Econometrica: journal of the Econometric Society, pp. 1361–1401.

  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.

    Article  Google Scholar 

  • Peterson, J. M. (2019). Innovation as a policy strategy for natural resource protection. Natural Resource Modeling, 32(3), e12231.

    Article  Google Scholar 

  • Prior, T., Giurco, D., Mudd, G., Mason, L., & Behrisch, J. (2012). Resource depletion, peak minerals and the implications for sustainable resource management. Global Environmental Change, 22(3), 577–587. https://doi.org/10.1016/j.gloenvcha.2011.08.009

    Article  Google Scholar 

  • Rimos, S., Hoadley, A. F. A., & Brennan, D. J. (2014). Environmental consequence analysis for resource depletion. Process Safety and Environmental Protection, 92(6), 849–861. https://doi.org/10.1016/j.psep.2013.06.001

    Article  CAS  Google Scholar 

  • Schumpeter, J. A. (1934). The theory of economic development: An inquiry into profits, capital, credit, interest, and the business cycle. Harvard University Press.

    Google Scholar 

  • Sinha, A., Sengupta, T., & Alvarado, R. (2020). Interplay between technological innovation and environmental quality: Formulating the SDG policies for next 11 economies. Journal of Cleaner Production, 242, 118549. https://doi.org/10.1016/j.jclepro.2019.118549

    Article  Google Scholar 

  • Talebzadehhosseini, S., & Garibay, I. (2022). The interaction effects of technological innovation and path-dependent economic growth on countries overall green growth performance. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.130134

    Article  Google Scholar 

  • Tang, M., Li, Z., Hu, F., & Wu, B. (2020). How does land urbanization promote urban eco-efficiency? The mediating effect of industrial structure advancement. Journal of Cleaner Production, 272, 122798.

    Article  Google Scholar 

  • Tastan, H. (2015). Testing for spectral Granger causality. The Stata Journal, 15(4), 1157–1166.

    Article  Google Scholar 

  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1–2), 225–250.

    Article  Google Scholar 

  • Ullah, A., Zhao, X., Abdul Kamal, M., & Zheng, J. (2022). Environmental regulations and inward FDI in China: Fresh evidence from the asymmetric autoregressive distributed lag approach. International Journal of Finance & Economics, 27(1), 1340–1356.

    Article  Google Scholar 

  • Umar, M., Ji, X., Kirikkaleli, D., Shahbaz, M., & Zhou, X. (2020). Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development? Sustainable Development, 28(6), 1678–1688.

    Article  Google Scholar 

  • Wang, Y., & Chen, X. (2020). Natural resource endowment and ecological efficiency in China: Revisiting resource curse in the context of ecological efficiency. Resources Policy, 66, 101610.

    Article  Google Scholar 

  • Wang, R., Zhao, X., & Zhang, L. (2022). Research on the impact of green finance and abundance of natural resources on China’s regional eco-efficiency. Resources Policy, 76, 102579.

    Article  Google Scholar 

  • WDI (2023) World Development Indicators, World Bank. Available online: https://databank.worldbank.org/home.aspx

  • **aoman, W., Majeed, A., Vasbieva, D. G., Yameogo, C. E. W., & Hussain, N. (2021). Natural resources abundance, economic globalization, and carbon emissions: Advancing sustainable development agenda. Sustainable Development, 29(5), 1037–1048. https://doi.org/10.1002/sd.2192

    Article  Google Scholar 

  • Yang, L., & Yang, Y. (2019). Evaluation of eco-efficiency in China from 1978 to 2016: Based on a modified ecological footprint model. Science of the Total Environment, 662, 581–590.

    Article  CAS  Google Scholar 

  • Yao, J., Xu, P., & Huang, Z. (2021). Impact of urbanization on ecological efficiency in China: An empirical analysis based on provincial panel data. Ecological Indicators, 129, 107827.

    Article  Google Scholar 

  • Zhang, R., & Fu, Y. (2022). Technological progress effects on energy efficiency from the perspective of technological innovation and technology introduction: An empirical study of Guangdong. Energy Reports. https://doi.org/10.1016/j.egyr.2021.11.282

    Book  Google Scholar 

  • Zhang, Y. J., Peng, Y. L., Ma, C. Q., & Shen, B. (2017). Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy, 100, 18–28. https://doi.org/10.1016/j.enpol.2016.10.005

    Article  CAS  Google Scholar 

  • Zhou, X., Cai, Z., Tan, K. H., Zhang, L., Du, J., & Song, M. (2021). Technological innovation and structural change for economic development in China as an emerging market. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2021.120671

    Article  Google Scholar 

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All authors contributed to this study. The initiation of the research project, initial draft of the manuscript, and econometric analysis were performed by CN; Review of related literature was by AU; Econometric methodology was designed by PTI; TAO interpreted and discussed the results, while FVB wrote the conclusion and policy remarks and provided general supervision.

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Correspondence to Chinazaekpere Nwani.

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Nwani, C., Ullah, A., Ojeyinka, T.A. et al. Natural resources, technological innovation, and eco-efficiency: striking a balance between sustainability and growth in Egypt. Environ Dev Sustain (2023). https://doi.org/10.1007/s10668-023-03920-8

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