Should we be sceptical in the face of calls for degrowth?

Issaoui Fakhri, Mohammad Alqahtani, Mourad Guesmi, Akram Jamee

Article ID: 4292
Vol 8, Issue 5, 2024

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Abstract


In recent years, an ‘international’ unanimity has been reached as to the importance of collective collaboration to avoid the negative effects of climate change. This requires rethinking the old or traditional development model based on economic growth as the exclusive indicator of wealth. Thus, humanity has an urgent need to adopt a new, more humane and fairer economic model that constitutes an alternative to the models of exponential growth that have dominated in the last two centuries. To do so, humanity is looking to the Degrowth model as a potential concept that aims to reduce wealth from pollutants, seeks more justice (as equity), and the improvement of the capabilities of those who are poor and disadvantaged (in the sense of Amartya Sen and Martha Nussbaum). The purpose of this article is to question this model and whether it actually does improve environmental quality. Additionally, if the response is positive, another question arises: How to finance degrowth especially when we seek other less polluting energy sources whose costs seem to be very high?


Keywords


environment; degrowth; ARIMA

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References


Abonazel, M. R., & Abd-Elftah, A. I. (2019). Forecasting Egyptian GDP using ARIMA models. Reports on Economics and Finance, 5(1), 35–47. https://doi.org/10.12988/ref.2019.81023

Bayon, D. (2010). Poverty, social inequality and market statism (French). Mouvements, 64(4), 71–78. https://doi.org/10.3917/mouv.064.0071

Daly, H. (2023). The Steady-State Economy: Alternatives to Growthmania. The Earthscan Reader in Sustainable Development, 331–342. https://doi.org/10.4324/9781003403432-49

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

Dittmer, K. (2013). Local currencies for purposive degrowth? A quality check of some proposals for changing money-as-usual. Journal of Cleaner Production, 54, 3–13. https://doi.org/10.1016/j.jclepro.2013.03.044

Dongdong, W. (2010). The Consumer Price Index Forecast Based on ARIMA Model. 2010 WASE International Conference on Information Engineering. https://doi.org/10.1109/icie.2010.79

Ediger, V. Ş., & Akar, S. (2007). ARIMA forecasting of primary energy demand by fuel in Turkey. Energy Policy, 35(3), 1701–1708. https://doi.org/10.1016/j.enpol.2006.05.009

Jackson, T. (2009). Prosperity without Growth. Routledge. https://doi.org/10.4324/9781849774338

Kenny, G., Meyler, A., & Quinn, T. (1998). Forecasting Irish inflation using ARIMA models (No. 3/RT/98). Central Bank of Ireland.

Kharimah, F., Usman, M., Elfaki, W., & Elfaki, F. A. M. (2015). Time Series Modelling and Forecasting of the Consumer Price Bandar Lampung. Science International (Lahore), 27(5), 4119–4624.

Kiriakidis, M., & Kargas, A. (2013). Greek GDP forecast estimates. Applied Economics Letters, 20(8), 767–772. https://doi.org/10.1080/13504851.2012.744128

Meyler, A., Kenny, G., & Quinn, T. (1998). Forecasting Irish Inflation using ARIMA models. Research and Publications Department, Central Bank of Ireland.

Mills, T. (1990). Time Series Techniques for Economists. Cambridge University Press.

Napari, A., Özcan, R., & Khan, A. U. I. (2023). The language of sustainability: Exploring the implications of metaphors on environmental action and finance. Applied Ecology and Environmental Research, 21(5).

Nyoni, T. (2019). ARIMA modeling and forecasting of Consumer Price Index (CPI) in Germany. MPRA Paper No. 92442.

Nyoni, T., & Nathaniel, S. P. (2019). Modeling Rates of Inflation in Nigeria: An Application of ARMA, ARIMA and GARCH models. Paper No. 91351. Munich University Library.

Nyoni, T., Mutongi, C. (2019). Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models. 2019. MPRA Paper No. 93984.

Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335

Sammy Wabomba, M. (2016). Modeling and Forecasting Kenyan GDP Using Autoregressive Integrated Moving Average (ARIMA) Models. Science Journal of Applied Mathematics and Statistics, 4(2), 64. https://doi.org/10.11648/j.sjams.20160402.18

Schneider, F., Kallis, G., & Martinez-Alier, J. (2010). Crisis or opportunity? Economic degrowth for social equity and ecological sustainability. Introduction to this special issue. Journal of Cleaner Production, 18(6), 511–518. https://doi.org/10.1016/j.jclepro.2010.01.014

Sekulova, F., Kallis, G., Rodríguez-Labajos, B., et al. (2013). Degrowth: from theory to practice. Journal of Cleaner Production, 38, 1–6. https://doi.org/10.1016/j.jclepro.2012.06.022

van den Bergh, J. C. J. M., & Kallis, G. (2012). Growth, A-Growth or Degrowth to Stay within Planetary Boundaries? Journal of Economic Issues, 46(4), 909–920. https://doi.org/10.2753/jei0021-3624460404

Victor, P. A. (2008). Managing without growth: Slower by Design, Not Disaster. Edward Elgar.

Victor, P. A. (2009). Herman Daly and the steady-state economy. Available online: http://www.eoearth.org/article/Herman_Daly_Festschrift:_Herman_Daly_and_the_Steady_State_Economy2009 (accessed on 13 May 2023).




DOI: https://doi.org/10.24294/jipd.v8i5.4292

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