The direct effect of climate change on the cereal production in Tunisia: A micro-spatial analysis.

Zouabi, Oussama and Kahia, Montassar (2014): The direct effect of climate change on the cereal production in Tunisia: A micro-spatial analysis.

Abstract

Unlike previous studies, this paper, by employing a cointegration technique on panel data, economically investigates the direct effect of climate change on the cereal production in the long-term via a new cereal disaggregated databases covering the period 1979-2012 for 24 governorates in Tunisia within a multivariate panel framework. The Pedroni (1999, 2004) panel cointegration test indicates that there is a long-run equilibrium relationship between the considered variables with elasticities estimated positive and statistically significant in the long-run. The results generally confirm that in the long term there is a strong positive correlation between the cereal production and the direct effect of precipitation and temperature for the whole panel. At the micro-spatial level, results of the long-run equilibrium relationship show that the cereal production is extremely dependent on rainfall in most governorates of cereals producers, especially the Northwest region of Tunisia. In fact, there are several initiatives and policies that must be undertaken by Government in an attempt to improve the long term production of cereals in the most affected governorates by the phenomenon of climate change such as the development of several important and regionally-based institutions and cooperation, providing subsidies to farmers.

• Item Type: MPRA Paper
• Language: English
• Keywords: Climate change, Cereal, Tunisia, Panel cointegration.
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q13 - Agricultural Markets and Marketing ; Cooperatives ; Agribusiness; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q54 - Climate ; Natural Disasters and Their Management ; Global Warming

References

1. Balaghi, R. M, Jlibane, B, Tychon et Mrabet, R (2007) “ Gestion du risque de sécheresse agricole au Maroc. ” Aride Scientifique 18(3), 169-176.

2. Boungnarasy, M 2011 “Health care expenditure in Asia countries: Panel data analysis.” Economics Bulletin 37(4), 3170-3178.

3. Breitung, J (2002) “Nonparametric tests for unit roots and cointegration” Journal of Econometrics 108, 343-364.

4. Chebil,A. N.Mtimet et Tizaoui, H (2011) “Impact du changement climatique sur la productivité des cultures céréalières dans la région de Béja. ” African Journal of Agricultural and Ressource Economics 6, 144-154.

5. Choi, I. (2001) “Unit root tests for panel data.” Journal of International Money and Finance 20, 249-272.

6. Ficher, R. A. (1932) Statistical Methods for Research Workers, 4th edition. Edinburgh: Oliver and Boyd.

7. Fischer, G., Frohberg, K., Parry, M. L. And Rosenzweig, C (1994) “Climate change and world food supply, demand and trade: who benefits, who loses?.” Global Environment Change 4, 7–23.

8. Jinxia, W., Mendelsohn, R., Dinar, A., Huang, J., Rozelle, S., and Zhang, L (2008) “The Impact of Climate Change on China’s Agriculture”, Agricultural Economics 40, 323–337.

9. Hadri, K. (2000) “Testing for stationary in heterogeneous panel data.” Econometrics Journal 3, 148-161.

10. Hurlin, C. and Mignon, V (2005) “Une synthèse des tests de racine unitaire sur données de panel . ” Economie et prévision 115, 253-294.

11. Im, K. S., M. H. Pesaran and Shin, Y. (2003) “testing for unit roots in heterogeneous panels.” Journal of Econometrics 115, 53-74.

12. Lee, J., Nadolnyak,D and Hartazska, V (2012) “Impact of climate change on agricultural in Asian countries: Evidence from panel study.” Paper selected at the Southern Agricultural Economics Association Annual Meeting, Birmingham, at February 4-7, 2012.

13. Levin, A., C.F. Lin and C. Chu (2002) “Unit root tests in panel data: asymptotic and finite sample properties.” Journal of Econometrics 108, 1-24.

14. Maddala, G. S. and S. Wu (1999) “A comparative study of unit root tests with panel data and a new simple test.” Oxford Bulletin of Economics and Statistics 61, 631-652.

15. Mawussé, K.N.O (2009) “Energy consumption and GDP growth in WAEMU countries: A panel data analysis.” MPRA Paper No 15521.

16. Mendelsohn, R., Nordhaus ,W. And Shaw, D (1994) “The impact of global warming on agriculture: A Ricardian analysis.” The American Economic Review 84(4), 753-771.

17. Mougou, R (2003) “Assessment, impacts, and vulnerability to climate change on North Africa: Food and water resources. Tunisian Semi-annual Report. ” Contribution to the AIACC (Adaptations to Climate Change) AF90 North Africa Project, UNEP/WMO/IPCC, Washington.

18. Rosenzweig, C., Tubiello, F.N., Goldberg, R, Mills, E, and Bloomfield,J (2002) “ Increased crop damage in the US from excess precipitation under climate change.” Global Environmental Change 12 (3), 197-202.

19. Rosenzweig C and Parry M, (1994) “Potential impact of climate change on world food supply.” Nature 367, 133-138.

20. Pedroni, P. (1996) “Fully modified OLS for heterogeneous cointgrated panels and the case of purchasing power parity.”Working paper in Economics, India University.

21. Pedroni, P. (1999)“critical values for cointegration tests in heterogeneous panels with multiple regressors.” Oxford Bulletin of Economics and Statistics 61, 653-670.

22. Reilly, J., Tubiello, F., McCarl, B ., Abler, D., Darwin, R., Fuglie, K., Hllinger, S., Izaurralde, C., Jagtap, S., Jones, S., Mearns, L., Ojima, D., Paulaa, E., Paustian,K., Rhab, S., Rosenberg, S. Ans Rosenzweig, C (2003) “U.S. Agriculture and Climate Change: New Results” Climatic Change 57,43-69.

23. Rosenzweig, C., Tubiello, F.N., Goldberg, R, Mills, E, and Bloomfield,J (2002) “ Increased crop damage in the US from excess precipitation under climate change.” Global Environmental Change 12 (3), 197-202.

24. Rosenzweig C and Parry M, (1994) “Potential impact of climate change on world food supply.” Nature 367, 133-138.

25. Thurlow, J. T. Zhu and D. Xinshen (2011) “Current climate variability and future climate change: Estimeted growth and poverty impacts for Zambia.” Review of Development Economis 16, 394-411.

26. Yana, N (1999) “ Quel temps fera t’il au XXIème siècle ? Références maïs ” 6, 80-82.