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Макроэкономические последствия изменения климата для стран Африки к югу от Сахары: аргументы в пользу устойчивого развития

https://doi.org/10.26794/2308-944X-2021-9-1-8-36

Аннотация

Несмотря на то, что изменение климата имеет серьезные глобальные последствия, считается, что они непропорционально сильно проявляются в развивающихся регионах с жарким климатом. В данной статье эти утверждения исследуются с использованием панельных данных для 84 стран ОЭСР и стран Африки к югу от Сахары в период с 1970 по 2018 г. В работе анализируется эволюция температур в конкретных странах, а также долгосрочное экономическое влияние колебаний температуры и осадков на ВВП на душу населения. Используя панельную модель авторегрессивного распределенного запаздывания, автор констатирует: поскольку отклонения температуры выше исторических норм произошли одновременно во всех исследуемых странах, то одномоментно и значительно здесь снизился и рост доходов. Никакой существенной связи между выпадением осадков и ростом доходов не обнаружено. При взаимодействии «бедных» и «жарких» стран автор обнаружил, что колебания температуры непропорционально сильно влияют как на более жаркие, так и на более бедные страны Африки к югу от Сахары. Температуры в странах ОЭСР росли быстрее по сравнению с их историческими нормами, чем в странах Африки к югу от Сахары. И хотя более бедные и развивающиеся страны больше страдают от колебаний температуры, они, похоже, быстрее восстанавливаются после температурных шоков, чем страны среднего уровня. Автор объясняет эти результаты и связывает их с потенциальными последствиями для политики в отношении глобального устойчивого развития и борьбы с выбросами парниковых газов.

Об авторе

А. Сандалли
Durham University Business School
Великобритания


Список литературы

1. Abidoye, B. O., & Odusola, A. F. (2015). Climate change and economic growth in Africa: an econometric analysis. Journal of African Economies, 24(2), 277–301.

2. Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268–281.

3. Ahmed, S. A., Diffenbaugh, N. S., & Hertel, T. W. (2009). Climate volatility deepens poverty vulnerability in developing countries. Environmental Research Letters, 4(3), 034004.

4. Ahmed, S. A., Diffenbaugh, N. S., Hertel, T. W., Lobell, D. B., Ramankutty, N., Rios, A. R., & Rowhani, P. (2009). Climate volatility and poverty vulnerability in Tanzania. The World Bank.

5. Ali, S. (2012). Climate change and economic growth in a rain-fed economy: how much does rainfall variability cost Ethiopia? Available at SSRN 2018233.

6. Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51.

7. Arguez, A., Applequist, S., Vose, R. S., Durre, I., Squires, M. F., & Yin, X. (2012). NOAA’s 1981–2010 climate normals: methodology of temperature-related normals. NCDC Report, 7.

8. Bansal, R., & Ochoa, M. (2011). Temperature, aggregate risk, and expected returns. National Bureau of Economic Research. Working Paper No. 17575.

9. Barrios, S., Bertinelli, L., & Strobl, E. (2010). Trends in rainfall and economic growth in Africa: A neglected cause of the African growth tragedy. The Review of Economics and Statistics, 92(2), 350–366.

10. Barrios, S., Ouattara, B., & Strobl, E. (2008). The impact of climatic change on agricultural production: Is it different for Africa? Food Policy, 33(4), 287–298.

11. Barro, R. J. (1991). Economic growth in a cross-section of countries. The Quarterly Journal of Economics, 106(2), 407–443.

12. Barro, R. J., Mankiw, N. G., & Sala-i-Martin, X. (1992). Capital mobility in neoclassical models of growth. National Bureau of Economic Research. Working Paper No. 4206.

13. Binder, M., & Pesaran, M. H. (1999). Stochastic growth models and their econometric implications. Journal of Economic Growth, 4(2), 139–183.

14. Boko, M. (2007). Climate change: Impacts, vulnerabilities, and adaptation in developing countries. Climate Change 2007: Impacts, Adaptation and Vulnerability. The Working Group II Contribution to the IPCC Fourth Assessment Report, (433–467).

15. Borensztein, E., De Gregorio, J., & Lee, J. W. (1998). How does a foreign direct investment affect economic growth? Journal of International Economics, 45(1), 115–135.

16. Brown, P. T., Li, W., Jiang, J. H., & Su, H. (2016). Unforced surface air temperature variability and its contrasting relationship with the anomalous TOA energy flux at local and global spatial scales. Journal of Climate, 29(3), 925–940.

17. Brückner, M., & Ciccone, A. (2011). Rain and the democratic window of opportunity. Econometrica, 79(3), 923–947.

18. Burke, M. B., Lobell, D. B., & Guarino, L. (2009). Shifts in African crop climates by 2050, and the implications for crop improvement and genetic resources conservation. Global Environmental Change, 19(3), 317–325.

19. Burke, M., Hsiang, S. M., & Miguel, E. (2015). Global non-linear effect of temperature on economic production. Nature, 527(7577), 235–239.

20. Cashin, P., Mohaddes, K., & Raissi, M. (2017). China’s slowdown and global financial market volatility: Is world growth losing out? Emerging Markets Review, 31, 164–175.

21. Chudik, A., Mohaddes, K., Pesaran, M. H., & Raissi, M. (2016). Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors. In R. C. Hill, G. Gonzalez-Rivera, & T.-H. Lee, (Eds.), Advances in Econometrics (Volume 36): Essays in Honor of Aman Ullah, Chapter 4, pp. 85–135. Emerald Publishing.

22. Chudik, A., Pesaran, M. H., & Yang, J.-C. (2018). Half-Panel Jackknife Fixed Effects Estimation of Panels with Weakly Exogenous Regressors. Journal of Applied Econometrics, 33(6), 816–836.

23. Covington, H., & Thamotheram, R. (2015). The case for forceful stewardship (part 1): The financial risk from global warming. Available at SSRN 2551478.

24. da Silva, P. P., Cerqueira, P. A., & Ogbe, W. (2018). Determinants of renewable energy growth in Sub-Saharan Africa: Evidence from panel ARDL. Energy, 156, 45–54.

25. Dell, M., Jones, B. F., & Olken, B. A. (2009). Temperature and income: reconciling new cross-sectional and panel estimates. American Economic Review, 99(2), 198–204.

26. Dell, M., Jones, B. F., & Olken, B. A. (2012). Temperature shocks and economic growth: Evidence from the last halfcentury. American Economic Journal: Macroeconomics, 4(3), 66–95.

27. Dell, M., Jones, B. F., & Olken, B. A. (2014). What do we learn from the weather? The new climate-economy literature. Journal of Economic Literature, 52(3), 740–98.

28. Deschênes, O., & Greenstone, M. (2011). Climate change, mortality, and adaptation: Evidence from annual fluctuations in weather in the US. American Economic Journal: Applied Economics, 3(4), 152–85.

29. Dietz, S., & Stern, N. (2014). Endogenous growth, the convexity of damages and climate risk: how Nordhaus’ framework supports deep cuts in carbon emissions. Centre for Climate Change Economics and Policy. Working Paper No. 180.

30. Eboli, F., Parrado, R., & Roson, R. (2010). Climate-change feedback on economic growth: explorations with a dynamic general equilibrium model. Environment and Development Economics, 515–533.

31. Fankhauser, S. (1995). Protection versus retreat: the economic costs of sea-level rise. Environment and Planning A, 27(2), 299–319.

32. Farid, M., Keen, M., Papaioannou, M., Parry, I., Pattillo, C., & Ter-Martirosyan, A. (2016). After Paris: Fiscal, Macroeconomic, and Financial Implications of Climate Change. IMF Staff Discussion Note 16/01. International Monetary Fund. Washington, DC.

33. Fjelde, H., & von Uexkull, N. (2012). Climate triggers: Rainfall anomalies, vulnerability, and communal conflict in sub-Saharan Africa. Political Geography, 31(7), 444–453.

34. Gallup, J. L., Sachs, J. D., & Mellinger, A. D. (1999). Geography and economic development. International Regional Science Review, 22(2), 179–232.

35. Graff Zivin, J., & Neidell, M. (2014). Temperature and the allocation of time: Implications for climate change. Journal of Labor Economics, 32(1), 1–26.

36. Graff, J., Hsiang, S., & Neidell, M. (2015). Temperature and human capital in the short-and long-run. NBER Working Paper No. 21157.

37. Guiteras, R. (2009). The impact of climate change on Indian agriculture. Manuscript. Department of Economics, University of Maryland, College Park, Maryland.

38. Gupta, R., Somanathan, E., & Dey, S. (2017). Global warming and local air pollution have reduced wheat yields in India. Climatic Change, 140(3–4), 593–604.

39. Hallegatte, S., & Rozenberg, J. (2017). Climate change through a poverty lens. Nature Climate Change, 7(4), 250–256.

40. Hallegatte, S., Dumas, P., & Hourcade, J. C. (2010). A note on the economic cost of climate change and the rationale to limit it below 2°C. The World Bank.

41. Hallegatte, S., Vogt-Schilb, A., Bangalore, M., & Rozenberg, J. (2016). Unbreakable: building the resilience of the poor in the face of natural disasters. The World Bank Publications.

42. Harari, M., & La Ferrara, E. (2013). Climate and Cells: A Disaggregated Analysis. CEPR Discussion Paper No. 9277. Centre for Economic Policy Research, London.

43. Hertel, T. W., Burke, M. B., & Lobell, D. B. (2010). The poverty implications of climate-induced crop yield changes by 2030. Global Environmental Change, 20(4), 577–585.

44. Heutel, G., Moreno-Cruz, J., & Ricke, K. (2016). Climate engineering economics. Annual Review of Resource Economics, 8, 99–118.

45. Hsiao, C. (1995). Panel analysis for metric data. In Handbook of statistical modeling for the social and behavioral sciences (pp. 361–400)., Boston, MA: Springer.

46. Hübler, M. (2017). The inequality-emissions nexus in the context of trade and development: a quantile regression approach. Ecological Economics, 134, 174–185.

47. Ignjacevic, P., Botzen, W., Estrada, F., Kuik, O., Ward, P., & Tiggeloven, T. (2020). CLIMRISK-RIVER: Accounting for local river flood risk in estimating the economic cost of climate change. Environmental Modelling & Software, 104784.

48. International Monetary Fund (IMF). (2015). Macroeconomic Developments and Prospects in Low-Income Developing Countries. Policy Paper. Washington, DC.

49. Jayachandran, Seema. 2006. Selling Labor Low: Wage Responses to Productivity Shocks in Developing Countries. Journal of Political Economy, 114(3), 538–75.

50. Jordà, Ò. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161–182.

51. Kahn, M. E., Mohaddes, K., Ng, R. N., Pesaran, M. H., Raissi, M., & Yang, J. C. (2019). Long-term macroeconomic effects of climate change: A cross-country analysis. National Bureau of Economic Research. Working Paper No. 26167.

52. Kim, S. (2019). CO2 emissions, foreign direct investments, energy consumption, and GDP in developing countries: a more comprehensive study using panel vector error correction model. Korean Economic Review, 35(1), 5–24.

53. Kompas, T., Pham, V. H., & Che, T. N. (2018). The effects of climate change on GDP by country and the global economic gains from complying with the Paris climate accord. Earth’s Future, 6(8), 1153–1173.

54. Levine, David I., & Dean, Yang. (2006). A Note on the Impact of Local Rainfall on Rice Output in Indonesian Districts. Unpublished.

55. Lobell, D. B., & Burke, M. (Eds.). (2009). Climate change and food security: adapting agriculture to a warmer world (Vol. 37). Springer Science & Business Media.

56. Lundgren, K., Kuklane, K., Gao, C., & Holmer, I. (2013). Effects of heat stress on working populations when facing climate change. Industrial Health, 51(1), 3–15.

57. Martínez-Zarzoso, I., & Maruotti, A. (2011). The impact of urbanization on CO2 emissions: evidence from developing countries. Ecological Economics, 70(7), 1344–1353.

58. Matsuura, K., & Willmott, C. J. (2018). Terrestrial precipitation: 1900–2017 gridded monthly time series. Electronic. Department of Geography, University of Delaware, Newark, DE, 19716.

59. Mejia, M. S. A., Mrkaic, M. M., Novta, N., Pugacheva, E., & Topalova, P. (2018). The Effects of Weather Shocks on Economic Activity: What are the Channels of Impact? International Monetary Fund.

60. Mendelsohn, R., Dinar, A., & Williams, L. (2006). The distributional impact of climate change on rich and poor countries. Environment and Development Economics, 11(02), 159–178.

61. Mendelsohn, R., Schlesinger, M., & Williams, L. (2000). Comparing impacts across climate models. Integrated Assessment, 1(1), 37–48.

62. Merton, R. C. (1975). An asymptotic theory of growth under uncertainty. The Review of Economic Studies, 42(3), 375–393.

63. Metcalf, G. E. (2009). Designing a carbon tax to reduce US greenhouse gas emissions. Review of Environmental Economics and Policy, 3(1), 63–83.

64. Miguel, E., & Satyanath, S. (2011). Re-examining economic shocks and civil conflict. American Economic Journal: Applied Economics, 3(4), 228–32.

65. Miguel, E., Satyanath, S., & Sergenti, E. (2004). Economic shocks and civil conflict: An instrumental variables approach. Journal of Political Economy, 112(4), 725–753.

66. Nordhaus, W. D. (2006). Geography and macroeconomics: New data and new findings. Proceedings of the National Academy of Sciences, 103(10), 3510–3517.

67. Nordhaus, W. D. (2013). The climate casino: Risk, uncertainty, and economics for a warming world. Yale University Press.

68. Nordhaus, W. D., & Yang, Z. (1996). A regional dynamic general-equilibrium model of alternative climate-change strategies. The American Economic Review, 86(4), 741–765.

69. Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., … & Dubash, N. K. (2014). Climate change 2014: Synthesis report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (p. 151). IPCC.

70. Pesaran, M. H. & Smith, R. (1995). Estimating Long-run Relationships from Dynamic Heterogeneous Panels. Journal of Econometrics, 68(1), 79–113.

71. Pesaran, M. H. & Shin, Y. (1999). An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis. In S. Strom (Ed.), Econometrics and Economic Theory in 20th Century: The Ragnar Frisch Centennial Symposium, Chapter 11, pp. 371–413. Cambridge: Cambridge University Press.

72. 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.

73. Pindyck, R. S. (2011). Fat tails, thin tails, and climate change policy. Review of Environmental Economics and Policy, 5(2), 258–274.

74. Rehdanz, K., & Maddison, D. (2003). Climate and Happiness, Centre for Marine and Climate Research. Working Paper FNU-20. Hamburg, Germany.

75. Rehdanz, K., & Maddison, D. (2005). Climate and happiness. Ecological Economics, 52(1), 111–125.

76. Sachs, J. D., & Warner, A. M. (1997). Sources of slow growth in African economies. Journal of African economies, 6(3), 335–376.

77. Sachs, J. D., & Warner, A. M. (1997). Sources of slow growth in African economies. Journal of African economies, 6(3), 335–376.

78. Sala-i-Martin, X. X. (1997). I just ran four million regressions. National Bureau of Economic Research. Working Paper No. 6252.

79. Schelling, Thomas C. (2000). Intergenerational and International Discounting. Risk Analysis, 20(6): 833–37.

80. Schlenker, W., & Lobell, D. B. (2010). Robust negative impacts of climate change on African agriculture. Environmental Research Letters, 5(1), 014010.

81. Seo, S. N., & Mendelsohn, R. (2008). Measuring impacts and adaptations to climate change: a structural Ricardian model of African livestock management 1. Agricultural Economics, 38(2), 151–165.

82. Seppanen, O., Fisk, W. J., & Faulkner, D. (2003). Cost-benefit analysis of the night-time ventilative cooling in an office building. Lawrence Berkeley National Laboratory. https://escholarship.org/uc/item/3j82f642

83. Smith, T. M., Reynolds, R. W., Peterson, T. C., & Lawrimore, J. (2008). Improvements to NOAA’s historical merged land-ocean surface temperature analysis (1880–2006). Journal of Climate, 21(10), 2283–2296.

84. Solomon, S. (2007). IPCC (2007): Climate changes the physical science basis. AGUFM, 2007, U 43D-01.

85. Stern, N., & Stern, N. H. (2007). The economics of climate change: The Stern review. Cambridge University Press.

86. Stern, Nicholas Herbert. (2015). Why Are We Waiting? The Logic, Urgency, and Promise of Tackling Climate Change. Cambridge, MA: MIT Press.

87. Tanser, F. C., Sharp, B., & Le Sueur, D. (2003). Potential effect of climate change on malaria transmission in Africa. The Lancet, 362(9398), 1792–1798.

88. Tenkate, T. (2009). The anatomy of a silent crisis-human impact report: Climate change. Environmental Health, 9(1/2), 97.

89. Toi, R. S., & Yohe, G. W. (2007). Infinite uncertainty, forgotten feedbacks, and cost-benefit analysis of climate change. Climate Change, 83(4), 429–42.

90. Tol, R. S. (2009). The economic effects of climate change. Journal of Economic Perspectives, 23(2), 29–51.

91. Tol, Richard S. J.(2008b). Climate, Development, and Malaria: An Application of FUND. Climatic Change, 88(1), 21–34

92. UNDP (2006). Beyond scarcity: Power, poverty, and the global water crisis. Human Development Report 2006. Published for the United Nations Development Program.

93. United Nations Framework Convention on Climate Change. (1992). United Nations framework convention on climate change. UNFCCC.

94. Wade, K., & Jennings, M. (2016). The impact of climate change on the global economy. Schroders Talking Point.

95. Weitzman, M. L. (2012). GHG targets as insurance against catastrophic climate damages. Journal of Public Economic Theory, 14(2), 221–244.

96. Welch, J. R., Vincent, J. R., Auffhammer, M., Moya, P. F., Dobermann, A., & Dawe, D. (2010). Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures. Proceedings of the National Academy of Sciences, 107(33), 14562–14567.

97. Wolff, H., Chong, H., & Auffhammer, M. (2011). Classification, detection and consequences of data error: evidence from the human development index. The Economic Journal, 121(553), 843–870.

98. World Bank Group. (2016). World Development Report 2016: Digital dividends. The World Bank Publications.

99. World Bank. (2020). DataBank. World Development Indicators. https://databank.worldbank.org/source/world-development-indicators

100. Yang, Dean, & Hwa, Jung Choi. 2007. Are Remittances Insurance? Evidence from Rainfall Shocks in the Philippines. World Bank Economic Review, 21(2), 219–48.


Рецензия

Для цитирования:


Сандалли А. Макроэкономические последствия изменения климата для стран Африки к югу от Сахары: аргументы в пользу устойчивого развития. Review of Business and Economics Studies. 2021;9(1):8-36. https://doi.org/10.26794/2308-944X-2021-9-1-8-36

For citation:


Sandalli A. The Macroeconomic Implications of Climate Change on Sub-Saharan Africa: A Case for Sustainable Development. Review of Business and Economics Studies. 2021;9(1):8-36. (In Russ.) https://doi.org/10.26794/2308-944X-2021-9-1-8-36



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