The Micro-behavioral Framework for Estimating Total Damage of Global Warming on Natural Resource Enterprises with Full Adaptations

S. Niggol Seo1
1 Environmental & Natural Resource Economics, Muaebak Institute of Global Warming Studies, Seoul, Korea

Tóm tắt

This paper presents a novel methodology in which an individual’s optimization decisions are statistically decomposed into choices of systems, system-specific outcomes, and the overall outcome in an integrative framework. The methodology is applied to individuals’ decisions on natural resource enterprises given climatic changes. This paper finds that when the Goddard Institute scenario comes to pass by the middle of this century, adoption of a crops-only enterprise will fall, so will adoption of a crops–forests enterprise. Instead, people will increase adoption of a livestock-only as well as a crops–livestock–forests enterprise. The impacts of climate change on the six enterprises are varied, which are calculated from the estimated models by altering climate variables. The crops-only enterprise will lose the value of land by 8.3 %. However, the livestock-only enterprise will gain by 8.9 %. The crops–livestock–forests enterprise also will gain largely by 7.8 %. The impacts on the other enterprises are muted, e.g., 1 % gain for the crops–livestock enterprise. The total damage under the scenario is expected to be a loss of 1.9 % of land value. Under a severer UK Met Office scenario, the damage is predicted to increase to 6.2 %.

Tài liệu tham khảo

Adams R, Rosenzweig C, Peart RM, Ritchie JT, McCarl BA, Glyer JD, Curry RB, Jones JW, Boote KJ, Allen LH (1990) Global climate change and US agriculture. Nature 345:219–224. Adams R, McCarl BA, Segerson K, et al. (1999) The economic effects of climate change on US agriculture. In: Mendelsohn R, Neumann J (eds) The impact of climate change on the United States economy. Cambridge University Press, Cambridge. Ainsworth EA, Long SP (2005) What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytology 165:351–371. Aksoy S, Attardo G et al. (2014) Genome Sequence of the Tsetse Fly (Glossina morsitans): Vector of African Trypanosomiasis. Science 344(6182):380–386. Baethgen WE (1997) Vulnerability of agricultural sector of Latin America to climate change. Climate Res 9:1–7. Bourguignon F, Fournier M, Gurgand M (2004). Selection Bias Corrections Based on the Multinomial Logit Model: Monte-Carlo Comparisons. DELTA Working Paper No. 20, De’partement et Laboratoire d’Economie The’orique et Applique’e (DELTA). Butt TA, McCarl BA, Angerer J, Dyke PT, Stuth JW (2005) The economic and food security implications of climate change in Mali. Climatic Change 68:355–378. Conde C, Liverman D, Flores M, et al. (1997) Vulnerability of rainfed Maize crops in Mexico to climate change. Climate Research 9:1–23. Dahl GB (2002) Mobility and the returns to education: testing a Roy model with multiple markets. Econometrica 70: 2367-2420. Danielson JJ, Gesch DB (2011) Global multi-resolution terrain elevation data 2010 (GMTED2010). U.S. Geological Survey Open-File Report 2011–1073, 26 p. Dell M, Jones BF, Olken BA (2009) Temperature and income: reconciling new crosssectional and panel estimates. American Economic Review 99(2):198–204. Deschenes O, Greenstone M (2012) The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather: Reply. Am Econ Rev 102:3761–3773. Driessen P, Deckers J, Nachtergaele F (2001) Lecture notes on the major soils of the world. Food and Agriculture Organization (FAO). Dubin JA, McFadden DL (1984) An econometric analysis of residential electric appliance holdings and consumption. Econometrica 52(2):345–362. Efron B (1981) Nonparametric estimates of standard error: the jackknife, the bootstrap and other methods. Biometrika 68:589–599. Evenson R, Gollin D (2003) Assessing the impact of the green revolution 1960-2000. Science 300:758–762. Fisher FM (1966) The identification problem in econometrics. McGraw-Hill, New York. Food and Agriculture Organization (FAO) (2003) The Digital Soil Map of the World (DSMW) CD-ROM. Italy. Rome. Gordon C, Cooper C, Senior CA, Banks HT, Gregory JM, Johns TC, Mitchell JFB, Wood RA (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168. Hahn GL, Gaughan JB, Mader TL, Eigenberg RA (2009) Chapter 5: thermal indices and their applications for livestock environments. In DeShazer JA, (ed.) Livestock energetics and thermal environmental management, 113-130. American Society of Agricultural and Biological Engineers, St. Joseph, Mich. Hansen J, Sato M, Reudy R, Lo K, Lea DW, Medina-Elizade M (2006) Global temperature change. Proc Natl Sci Acad US 103:14288–14293. Heckman J (1979) Sample selection bias as a specification error. Econometrica 47:153–162. James C (2012) Global status of commercialized biotech/GM crops: 2012. ISAAA (The International Service for the Acquisition of Agri-biotech Applications) Brief No.44. ISAAA: Ithaca, NY. Johnston J, DiNardo J (1997) Econometric methods (\(4^{{\rm th}}\) edition). McGraw-Hill, New York. Keeling CD, Piper SC, Bacastow RB, et al. (2005) Atmospheric \(\text{ CO }^{2}\) exchange with the terrestrial biosphere and oceans from 1978 to 2000: observations and carbon cycle implications. In: Ehleringer JR, Cerling TE, Dearing MD (eds) A history of atmospheric CO2 and its effects on plants, animals, and ecosystems. SpringerVerlag, New York. Lee LF (1983) Generalized econometric models with selectivity. Econometrica 51:507–512. Le Treut H, Somerville R, Cubasch U, et al. (2007) Historical overview of climate change. In: Climate Change 2007: scientific basis. Cambridge University Press, Cambridge. Lobell D, Schlenker W, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333:616–620. Magrin G, Travasso M, Diaz R, Rodriguez R (1997) Vulnerability of the agricultural systems of Argentina to climate change. Climate Research 9:31–36. Manski CF (1995) Identification problems in the social sciences. Harvard University Press, Cambridge. Mata LJ et al. (2001) Latin America. In: Climate Change 2001: impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge. Matthews E (1983) Global vegetation and land use: new high-resolution data bases for climate studies. J Clim Appl Meteorol 22(3):474–487. McFadden DL (1974) Conditional logit analysis of qualitative choice behavior. In: Zarembka P (ed) Frontiers in econometrics. Academic Press, New York, pp 105–142. Mendelsohn R, Nordhaus W, Shaw D (1994) The impact of global warming on agriculture: A Ricardian analysis. American Economic Review 84:753–771. Mendelsohn R, Dinar A, Williams L (2006) The distributional impact of climate change on rich and poor countries. Environ Dev Econ 11:1–20. Nakicenovic N, Davidson O, Davis G, et al. (2000) Emissions Scenarios. A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. IPCC, Geneva. New M, Lister D, Hulme M, Makin I (2002) A high-resolution data set of surface climate over global land areas. Clim Res 21:1–25. Ng WS, Mendelsohn R (2006) The economic impact of sea-level rise on nonmarket lands in Singapore. Ambio 35:289–296. Nordhaus W (1994) Managing the global commons. The MIT Press, Cambridge, MA. Nordhaus W (2006) Geography and macroeconomics: new data and new findings. Proceedings of the National Academy of Sciences,103(10):3510–3517. Nordhaus W (2008) The Question of Balance. Yale University Press, New Haven. Nordhaus W (2010) The economics of hurricanes and implications of global warming. Climate Change Economics 1:1–24. Pearce D, Cline WR, Achanta A, et al. (1996) The social costs of climate change: greenhouse damage and benefits of control. In Climate change 1995: economic and social dimensions of climate change. Cambridge University Press, Cambridge. Peters CM, Gentry AW, Mendelsohn RO (1989) Valuation of an Amazonian rainforest. Nature 339(6227):655–656. Ropelewski CF, Halpert MS (1987) Global and regional precipitation patterns associated with the El Nino/Southern Oscillation. Monthly Weather Review 115:1606–1626. Rosenzweig C, Parry M (1994) Potential impact of climate change on world food supply. Nature 367:133–138. Schlenker W, Roberts M (2009) Nonlinear temperature effects indicate severe damages to crop yields under climate change. Proc. Natl.Acad. Sci. U.S.A. 106:15594–15598. Schmertman CP (1994) Selectivity bias correction methods in polychotomous sample selection methods. Journal of Econometrics 60:101–132. Schmidt GA, Ruedy R, Hansen JE, et al. (2005) Present day atmospheric simulations using GISS ModelE: comparison to in-situ, satellite and reanalysis data. J Clim 19:153–192. Secretariat of the Convention on Biological Diversity (2010) Global Biodiversity Outlook 3. Montréal, 94 pages. Seo SN (2006) Modeling farmer responses to climate change: measuring climate change impacts and adaptations in livestock management in Africa. PhD Dissertation. Yale University, New Haven. Seo SN (2010a) A microeconometric analysis of adapting portfolios to climate change: adoption of agricultural systems in Latin America. Applied Economic Perspectives and Policy 32:489–514. Seo SN (2010b) Managing forests, livestock, and crops under global warming: a micro-econometric analysis of land use changes in Africa. Australian Journal of Agricultural and Resource Economics 54(2):239–258. Seo SN (2011) A geographically scaled spatial analysis of adaptation to climate change by agricultural systems in Africa. Journal of Agricultural Science 149:437–449. Seo SN (2012a) Adapting natural resource enterprises under global warming in South America: a mixed logit analysis. Economia: The Journal of the Latin American and Caribbean Economic Association 12:111–135. Seo SN (2012b) Decision making under climate risks: an analysis of sub-Saharan farmers’ adaptation behaviors. Weather, Climate, and Society 4:285–299. Seo SN (2014a) Evaluation of Agro-Ecological Zone methods for the study of climate change with micro farming decisions in sub-Saharan Africa. European Journal of Agronomy 52:157–165. Seo SN (2014b) Estimating tropical cyclone damages under climate change in the Southern Hemisphere using reported damages. Environmental and Resource Economics 58:473–490. Seo SN (2015a) Micro-behavioral economics of global warming: modeling adaptation strategies in agricultural and natural resource enterprises. Springer: Cham, Switzerland. Seo SN (2015b) Adapting to extreme climates: raising animals in hot and arid ecosystems in Australia. International Journal of Biometeorology 59:541–550. Seo SN (2015c) Modeling farmer adaptations to climate change in South America: a micro-behavioral econometric perspective. Environmental and Ecological Statistics. doi:10.1007/s10651-015-0320-0. Seo SN (2015d) Fatalities of neglect: adapt to more intense hurricanes? International Journal of Climatology 35:3505–3514. Seo SN, Mendelsohn R (2008a) A Ricardian analysis of the impact of climate change on South American farms. Chilean Journal of Agricultural Research 68:69–79. Seo SN, Mendelsohn R (2008b) Measuring impacts and adaptations to climate change: A Structural Ricardian model of African livestock management. Agricultural Economics 38:151–165. Sohngen B, Mendelsohn R (1998) Valuing the impact of large-scale ecological change in a market: The effect of climate change on US timber. American Economic Review 88:686–710. Sohngen B, Mendelsohn R, Sedjo R (2001) A global model of climate change impacts on timber markets. Journal of Agricultural and Resource Economics 26:326–343. Steiger C (2006) Modern beef production in Brazil and Argentina. Choices Magazine 21(2):105–110. Tol R (2009) The economic effects of climate change. Journal of Economic Perspectives 23:29–51. Train K (2003) Discrete choice methods with simulation. Cambridge University Press, Cambridge. Vedeld P, Angelsen A, Bojø J, Sjaastad E, Kobugabe GK (2007). Forest environmental incomes and the rural poor. Forest Policy and Economics 9:869–879. Weitzman ML (2009) On modeling and interpreting the economics of catastrophic climate change. Rev Econ Stat 91:1–19. World Resources Institute (WRI) (2005) World Resources 2005: The Wealth of the Poor: Managing Ecosystems to Fight Poverty. WRI, Washington, DC. Yohe GW, Schlesinger ME (1998) Sea level change: the expected economic cost of protection or abandonment in the United States. Climatic Change 38:337–342.