Araştırma Makalesi
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Algeria’s Path to Sustainable Economic Development: Is it on Track or Not?

Yıl 2024, Sayı: 40, 76 - 97, 26.06.2024
https://doi.org/10.26650/ekoist.2024.40.1361258

Öz

In today’s world, achieving sustainable economic development is a critical challenge for all nations. Their approach to progress is an attempt to harmonize economic growth with environmental protection and social well-being, ensuring that the needs of the present are met without compromising the ability of future generations to meet their own. This study focuses on Algeria, a nation striving to transition towards a more sustainable economic model. While the country has implemented various strategies aimed at economic diversification, renewable energy adoption, and foreign investment engagement, a comprehensive assessment of their effectiveness and future impact remains lacking. This study aims to fill this gap by providing a holistic analysis of Algeria’s progress towards sustainable economic development. It goes beyond traditional single-factor assessments by employing a comprehensive framework and utilizing the ARIMA model and Box-Jenkins methodology to forecast the key indicators of GDP per capita, CO2 emissions per capita, and unemployment rate. The results of the analysis reveal a mixed outlook. While the ARIMA (1, 1, 0) model predicts promising economic development, the ARIMA (2, 1, 2) model raises concerns about rising CO2 emissions, and the ARIMA (1, 1, 1) model indicates a persistently high unemployment rate. These projections suggest that while Algeria is making strides towards improving the economy, significant challenges remain in achieving environmental sustainability and social inclusion.

JEL Classification : C22 , C32 , Q56 , O55

Kaynakça

  • Abdeldayem, M., & Aldulaimi, S. (2022). Developing an Islamic crowdfunding model: a new innovative mechanism to finance SMEs in the Middle East. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-02-2022-3159 google scholar
  • Adenomon, M. (2017). Modelling and forecasting unemployment rates in Nigeria using ARIMA model. FUW Trends in Science and Technology Journal, 2(1B), 525-531. google scholar
  • Alam, S., Fatima, A., & Butt, M. S. (2007). Sustainable development in Pakistan in the context of energy consumption demand and environmental degradation. Journal of Asian Economics, 18(5), 825-837. https://doi.org/10.1016/j.asieco.2007.07.005 google scholar
  • Altıntaş, H., & Kassouri, Y. (2020). Is the environmental Kuznets Curve in Europe related to the per-capita ecological footprint or CO2 emissions? Ecological Indicators, 113, 106187. https://doi.org/10.1016/j.ecolind.2020.106187 google scholar
  • Aser, D. A., & Firuzan, E. (2022). Improving Forecast Accuracy Using Combined Forecasts with Regard to Structural Breaks and ARCH Innovations. Ekoist: Journal of Econometrics and Statistics(37), 1-25.https://doi.org/10.26650/ekoist.2022.37.1183809 google scholar
  • Badeeb, R. A., Lean, H. H., & Clark, J. (2017). The evolution of the natural resource curse thesis: A critical literature survey. Resources Policy, 51, 123-134. google scholar
  • Beneyad, W., & Halimi, W. (2022). Forecasting Algeria’s Unemployment Rates Using SARIMA Model in Python Programming: During 2001-2021. Forum for economic studies and research journal, 6(1), 586-600. google scholar
  • Bouznit, M., Pablo-Romero, M. d. P., & Sanchez-Braza, A. (2020). Measures to promote renewable energy for electricity generation in Algeria. Sustainability, 12(4), 1468. google scholar
  • Bulut, C., & Hudaverdi, B. (2022). Hybrid Approaches in Financial Time Series Forecasting: A Stock Market Application. Ekoist: Journal of Econometrics and Statistics(37), 53-68. https://doi.org/10.26650/ekoist.2022.37.1108411 google scholar
  • Chen, J., Chen, Y., Mao, B., Wang, X., & Peng, L. (2022). Key mitigation regions and strategies for CO2 emission reduction in China based on STIRPAT and ARIMA models. Environmental Science and Pollution Research, 29(34), 51537-51553. https://doi.org/10.1007/s11356-022-19126-w google scholar
  • D’Adamo, I., Gastaldi, M., & Morone, P. (2022). Economic sustainable development goals: Assessments and perspectives in Europe. Journal of Cleaner Production, 354, 131730. https://doi.org/10.1016/j.jclepro.2022.131730 google scholar
  • Dabbous, A., & Tarhini, A. (2021). Does sharing economy promote sustainable economic development and energy efficiency? Evidence from OECD countries. Journal of Innovation & Knowledge, 6(1), 58-68. https://doi.org/10.1016/j.jik.2020.11.001 google scholar
  • Dasgupta, P. (2007). Measuring sustainable development: theory and application. Asian development review, 24(01), 1-10. https://doi.org/10.1142/S0116110507000012 google scholar
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431. https://doi.org/10.1080/01621459.1979.10482531 google scholar
  • Didiharyono, D., & Syukri, M. (2020). Forecasting with arima model in anticipating open unemployment rates in south sulawesi. Int. J. Sci. Technol. Res, 9(3), 3838-3841. google scholar
  • Dinda, S. (2004). Environmental Kuznets curve hypothesis: a survey. Ecological economics, 49(4), 431-455. https://doi.org/10.1016/j.ecolecon.2004.02.011 google scholar
  • Fernandez-Portillo, A., Almodovar-Gonzalez, M., Coca-Perez, J. L., & Jimenez-Naranjo, H. V. (2019). Is sustainable economic development possible thanks to the deployment of ICT? Sustainability, 11(22), 6307. https://doi.org/10.3390/su11226307 google scholar
  • Hammer, J., & Pivo, G. (2017). The triple bottom line and sustainable economic development theory and practice. Economic Development Quarterly, 31(1), 25-36. https://doi.org/10.1177/0891242416674808 google scholar
  • Houlden, G., & Zaamout, N. M. (2019). A New Great Power Engages with the Middle East: China’s Middle East Balancing Approach. google scholar
  • Khan, M. (2020). CO2 emissions and sustainable economic development: New evidence on the role of human capital. Sustainable Development, 28(5), 1279-1288. google scholar
  • Kijima, M., Nishide, K., & Ohyama, A. (2010). Economic models for the environmental Kuznets curve: A survey. Journal of Economic Dynamics and Control, 34(7), 1187-1201. https://doi.org/10.1016/j.jedc.2010.03.010 google scholar
  • Kour, M. (2022). Modelling and forecasting of carbon-dioxide emissions in South Africa by using ARIMA model. International Journal of Environmental Science and Technology, 1-8. https://doi.org/10.1007/s13762-022-04609-7 google scholar
  • Kurniawan, R., & Managi, S. (2018). Economic growth and sustainable development in Indonesia: an assessment. Bulletin of Indonesian Economic Studies, 54(3), 339-361. google scholar
  • Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of econometrics, 54(1-3), 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y google scholar
  • Lai, Y., & Dzombak, D. A. (2020). Use of the autoregressive integrated moving average (ARIMA) model to forecast near-term regional temperature and precipitation. Weather and Forecasting, 35(3), 959-976. https://doi.org/10.1175/WAF-D-19-0158.1 google scholar
  • Lotfalipour, M. R., Falahi, M. A., & Bastam, M. (2013). Prediction of CO2 emissions in Iran using grey and ARIMA models. International Journal of Energy Economics and Policy, 3(3), 229-237. google scholar
  • Makhloufi, S., Khennas, S., Bouchaib, S., & Arab, A. H. (2022). Multi-objective cuckoo search algorithm for optimized pathways for 75% renewable electricity mix by 2050 in Algeria. Renewable Energy, 185, 1410-1424. https://doi.org/10.1016/j.renene.2021.10.088 google scholar
  • Matijova, M., Onuferova, E., Rigelsky, M., & Stanko, V. (2019). Impactof selected indicators of tourism capacity and performance in the context of the unemployment rate in Slovakia. Journal of tourism and services, 10(19), 1-23. google scholar
  • Newbold, P. (1983). ARIMA model building and the time series analysis approach to forecasting. Journal of forecasting, 2(1), 23-35. https://doi.org/10.1002/for.3980020104 google scholar
  • Ngxiza, S. (2012). Sustainable economic development in previously deprived localities: the case of Khayelitsha in Cape Town. Paper presented at the Urban Forum. google scholar
  • Nyoni, T., & Muchingami, L. (2019). Modeling and forecasting Botswana’s Growth Domestic Product (GDP) per capita. https://mpra.ub.uni-muenchen.de/id/eprint/93987 google scholar
  • Olabemiwo, F., Danmaliki, G., Oyehan, T., & Tawabini, B. (2017). Forecasting CO2 emissions in the Persian gulf states. Global Journal of Environmental Science and Management, 3(1), 1-10. https://doi.org/10.22034/gjesm.2017.03.01.001 google scholar
  • Park, C. Y., Takahashi, K., Li, F., Takakura, J., Fujimori, S., Hasegawa, T., . . . Thiery, W. (2023). Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions. Global Environmental Change, 80, 102667. https://doi.org/10.1016/j.gloenvcha.2023.102667 google scholar
  • Ross, M. L. (1999). The political economy of the resource curse. World politics, 51(2), 297-322. https://doi.org/10.1017/S0043887100008200 google scholar
  • Shaker, V. (2022). Modeling and Forecasting Egyptian GDP: Autoregressive-Integrated Moving-Average Model. Journal of Agricultural Eco-nomics and Social Sciences, 13(7), 279-283. https://doi.org/10.21608/JAESS.2022.147684.1060 google scholar
  • Sotiroski, K., Kovacs, P., Aleksandra, M., Sedlak, O., Lakic, V., & Radovanov, B. (2023). Assessing sustainable economic development efficiency: a DEA approach. Strategic Management-International Journal of Strategic Management and Decision Support Systems in Strategic Management. google scholar
  • Van Alstine, J., & Neumayer, E. (2010). The environmental Kuznets curve. Handbook on Trade and the Environment, 2(7), 49-59. google scholar
  • Van Wynsberghe, A. (2021). Sustainable AI: AI for sustainability and the sustainability of AI. AI and Ethics, 1(3), 213-218. https://doi.org/10.1007/s43681-021-00043-6 google scholar
  • Vasylieva, T., Lyulyov, O., Bilan, Y., & Streimikiene, D. (2019). Sustainable economic development and greenhouse gas emissions: The dynamic impact of renewable energy consumption, GDP, and corruption. Energies, 12(17), 3289. https://doi.org/10.3390/en12173289 google scholar
  • Voumik, L. C., & Smrity, D. Y. (2020). Forecasting GDP Per Capita In Bangladesh: Using Arima Model. European Journal of Business and Management Research, 5(5). http://dx.doi.org/10.24018/ejbmr.2020.5.5.533 google scholar
Yıl 2024, Sayı: 40, 76 - 97, 26.06.2024
https://doi.org/10.26650/ekoist.2024.40.1361258

Öz

Kaynakça

  • Abdeldayem, M., & Aldulaimi, S. (2022). Developing an Islamic crowdfunding model: a new innovative mechanism to finance SMEs in the Middle East. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-02-2022-3159 google scholar
  • Adenomon, M. (2017). Modelling and forecasting unemployment rates in Nigeria using ARIMA model. FUW Trends in Science and Technology Journal, 2(1B), 525-531. google scholar
  • Alam, S., Fatima, A., & Butt, M. S. (2007). Sustainable development in Pakistan in the context of energy consumption demand and environmental degradation. Journal of Asian Economics, 18(5), 825-837. https://doi.org/10.1016/j.asieco.2007.07.005 google scholar
  • Altıntaş, H., & Kassouri, Y. (2020). Is the environmental Kuznets Curve in Europe related to the per-capita ecological footprint or CO2 emissions? Ecological Indicators, 113, 106187. https://doi.org/10.1016/j.ecolind.2020.106187 google scholar
  • Aser, D. A., & Firuzan, E. (2022). Improving Forecast Accuracy Using Combined Forecasts with Regard to Structural Breaks and ARCH Innovations. Ekoist: Journal of Econometrics and Statistics(37), 1-25.https://doi.org/10.26650/ekoist.2022.37.1183809 google scholar
  • Badeeb, R. A., Lean, H. H., & Clark, J. (2017). The evolution of the natural resource curse thesis: A critical literature survey. Resources Policy, 51, 123-134. google scholar
  • Beneyad, W., & Halimi, W. (2022). Forecasting Algeria’s Unemployment Rates Using SARIMA Model in Python Programming: During 2001-2021. Forum for economic studies and research journal, 6(1), 586-600. google scholar
  • Bouznit, M., Pablo-Romero, M. d. P., & Sanchez-Braza, A. (2020). Measures to promote renewable energy for electricity generation in Algeria. Sustainability, 12(4), 1468. google scholar
  • Bulut, C., & Hudaverdi, B. (2022). Hybrid Approaches in Financial Time Series Forecasting: A Stock Market Application. Ekoist: Journal of Econometrics and Statistics(37), 53-68. https://doi.org/10.26650/ekoist.2022.37.1108411 google scholar
  • Chen, J., Chen, Y., Mao, B., Wang, X., & Peng, L. (2022). Key mitigation regions and strategies for CO2 emission reduction in China based on STIRPAT and ARIMA models. Environmental Science and Pollution Research, 29(34), 51537-51553. https://doi.org/10.1007/s11356-022-19126-w google scholar
  • D’Adamo, I., Gastaldi, M., & Morone, P. (2022). Economic sustainable development goals: Assessments and perspectives in Europe. Journal of Cleaner Production, 354, 131730. https://doi.org/10.1016/j.jclepro.2022.131730 google scholar
  • Dabbous, A., & Tarhini, A. (2021). Does sharing economy promote sustainable economic development and energy efficiency? Evidence from OECD countries. Journal of Innovation & Knowledge, 6(1), 58-68. https://doi.org/10.1016/j.jik.2020.11.001 google scholar
  • Dasgupta, P. (2007). Measuring sustainable development: theory and application. Asian development review, 24(01), 1-10. https://doi.org/10.1142/S0116110507000012 google scholar
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431. https://doi.org/10.1080/01621459.1979.10482531 google scholar
  • Didiharyono, D., & Syukri, M. (2020). Forecasting with arima model in anticipating open unemployment rates in south sulawesi. Int. J. Sci. Technol. Res, 9(3), 3838-3841. google scholar
  • Dinda, S. (2004). Environmental Kuznets curve hypothesis: a survey. Ecological economics, 49(4), 431-455. https://doi.org/10.1016/j.ecolecon.2004.02.011 google scholar
  • Fernandez-Portillo, A., Almodovar-Gonzalez, M., Coca-Perez, J. L., & Jimenez-Naranjo, H. V. (2019). Is sustainable economic development possible thanks to the deployment of ICT? Sustainability, 11(22), 6307. https://doi.org/10.3390/su11226307 google scholar
  • Hammer, J., & Pivo, G. (2017). The triple bottom line and sustainable economic development theory and practice. Economic Development Quarterly, 31(1), 25-36. https://doi.org/10.1177/0891242416674808 google scholar
  • Houlden, G., & Zaamout, N. M. (2019). A New Great Power Engages with the Middle East: China’s Middle East Balancing Approach. google scholar
  • Khan, M. (2020). CO2 emissions and sustainable economic development: New evidence on the role of human capital. Sustainable Development, 28(5), 1279-1288. google scholar
  • Kijima, M., Nishide, K., & Ohyama, A. (2010). Economic models for the environmental Kuznets curve: A survey. Journal of Economic Dynamics and Control, 34(7), 1187-1201. https://doi.org/10.1016/j.jedc.2010.03.010 google scholar
  • Kour, M. (2022). Modelling and forecasting of carbon-dioxide emissions in South Africa by using ARIMA model. International Journal of Environmental Science and Technology, 1-8. https://doi.org/10.1007/s13762-022-04609-7 google scholar
  • Kurniawan, R., & Managi, S. (2018). Economic growth and sustainable development in Indonesia: an assessment. Bulletin of Indonesian Economic Studies, 54(3), 339-361. google scholar
  • Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of econometrics, 54(1-3), 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y google scholar
  • Lai, Y., & Dzombak, D. A. (2020). Use of the autoregressive integrated moving average (ARIMA) model to forecast near-term regional temperature and precipitation. Weather and Forecasting, 35(3), 959-976. https://doi.org/10.1175/WAF-D-19-0158.1 google scholar
  • Lotfalipour, M. R., Falahi, M. A., & Bastam, M. (2013). Prediction of CO2 emissions in Iran using grey and ARIMA models. International Journal of Energy Economics and Policy, 3(3), 229-237. google scholar
  • Makhloufi, S., Khennas, S., Bouchaib, S., & Arab, A. H. (2022). Multi-objective cuckoo search algorithm for optimized pathways for 75% renewable electricity mix by 2050 in Algeria. Renewable Energy, 185, 1410-1424. https://doi.org/10.1016/j.renene.2021.10.088 google scholar
  • Matijova, M., Onuferova, E., Rigelsky, M., & Stanko, V. (2019). Impactof selected indicators of tourism capacity and performance in the context of the unemployment rate in Slovakia. Journal of tourism and services, 10(19), 1-23. google scholar
  • Newbold, P. (1983). ARIMA model building and the time series analysis approach to forecasting. Journal of forecasting, 2(1), 23-35. https://doi.org/10.1002/for.3980020104 google scholar
  • Ngxiza, S. (2012). Sustainable economic development in previously deprived localities: the case of Khayelitsha in Cape Town. Paper presented at the Urban Forum. google scholar
  • Nyoni, T., & Muchingami, L. (2019). Modeling and forecasting Botswana’s Growth Domestic Product (GDP) per capita. https://mpra.ub.uni-muenchen.de/id/eprint/93987 google scholar
  • Olabemiwo, F., Danmaliki, G., Oyehan, T., & Tawabini, B. (2017). Forecasting CO2 emissions in the Persian gulf states. Global Journal of Environmental Science and Management, 3(1), 1-10. https://doi.org/10.22034/gjesm.2017.03.01.001 google scholar
  • Park, C. Y., Takahashi, K., Li, F., Takakura, J., Fujimori, S., Hasegawa, T., . . . Thiery, W. (2023). Impact of climate and socioeconomic changes on fire carbon emissions in the future: Sustainable economic development might decrease future emissions. Global Environmental Change, 80, 102667. https://doi.org/10.1016/j.gloenvcha.2023.102667 google scholar
  • Ross, M. L. (1999). The political economy of the resource curse. World politics, 51(2), 297-322. https://doi.org/10.1017/S0043887100008200 google scholar
  • Shaker, V. (2022). Modeling and Forecasting Egyptian GDP: Autoregressive-Integrated Moving-Average Model. Journal of Agricultural Eco-nomics and Social Sciences, 13(7), 279-283. https://doi.org/10.21608/JAESS.2022.147684.1060 google scholar
  • Sotiroski, K., Kovacs, P., Aleksandra, M., Sedlak, O., Lakic, V., & Radovanov, B. (2023). Assessing sustainable economic development efficiency: a DEA approach. Strategic Management-International Journal of Strategic Management and Decision Support Systems in Strategic Management. google scholar
  • Van Alstine, J., & Neumayer, E. (2010). The environmental Kuznets curve. Handbook on Trade and the Environment, 2(7), 49-59. google scholar
  • Van Wynsberghe, A. (2021). Sustainable AI: AI for sustainability and the sustainability of AI. AI and Ethics, 1(3), 213-218. https://doi.org/10.1007/s43681-021-00043-6 google scholar
  • Vasylieva, T., Lyulyov, O., Bilan, Y., & Streimikiene, D. (2019). Sustainable economic development and greenhouse gas emissions: The dynamic impact of renewable energy consumption, GDP, and corruption. Energies, 12(17), 3289. https://doi.org/10.3390/en12173289 google scholar
  • Voumik, L. C., & Smrity, D. Y. (2020). Forecasting GDP Per Capita In Bangladesh: Using Arima Model. European Journal of Business and Management Research, 5(5). http://dx.doi.org/10.24018/ejbmr.2020.5.5.533 google scholar
Toplam 40 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonometri (Diğer)
Bölüm ARAŞTIRMA MAKALESI
Yazarlar

Bouazza Elamine Zemrı 0009-0003-9338-0953

Sidi Mohamed Boumediene Khetib 0009-0005-1052-7871

Yayımlanma Tarihi 26 Haziran 2024
Gönderilme Tarihi 15 Eylül 2023
Yayımlandığı Sayı Yıl 2024 Sayı: 40

Kaynak Göster

APA Zemrı, B. E., & Khetib, S. M. B. (2024). Algeria’s Path to Sustainable Economic Development: Is it on Track or Not?. EKOIST Journal of Econometrics and Statistics(40), 76-97. https://doi.org/10.26650/ekoist.2024.40.1361258