Abstract
Climate change is one of the most relevant challenges faced by contemporary societies. The effects of climate variability emphasize the agricultural vulnerability of a location, especially through the dependence of agriculture on climatic factors. This work analyzed the impacts of climatic elements on sugarcane production for municipalities of the state of Paraíba, Brazil, from 1990 to 2015. We investigated how the behavior of climatic elements influenced each mesoregion. Through the production function, a regression with panel data was estimated using the pooled, fixed, and random effects models. To verify which model was most appropriate, the Chow, Hausman, Breusch-Pagan, and Wooldridge tests were performed. According to the tests, the most suitable model was the pooled model. The results showed the impacts of climatic parameters on sugarcane production in the municipalities of Paraíba state, Brazil. Rainfall was positively correlated with production, whereas the temperature negatively influenced production. A heterogeneous response of the impacts on the mesoregions was noted, with the municipalities belonging to the mesoregion of Mata Paraibana having a higher probability of producing sugarcane than other mesoregions.
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References
Alves LM, Marengo J (2010) Assessment of regional seasonal predictability using the PRECIS regional climate modeling system over South America. Theor Appl Climatol 100:337–350
Arias D, Caballero J (2015) Paraiba State, Brazil: Agricultural Sector Risk Assessment. The World Bank, Washington
Auffhammer M, Hsiang SM, Schlenker W, Sobel A (2013) Using weather data and climate model output in economic analyses of climate change. Rev Environ Econ Policy 7:181–198
Baltagi BB (2005) Econometric analysis of panel data. Wiley, New Delhi
Cameron A, Trivedi PK (2009) Microeconometrics using Stata. Stata Press, College Station
Carr MKV, Knox JW (2011) The water relations and irrigation requirements of sugarcane (Saccharum officinarum): a review. Exp Agric 47:1–25
CRU (2018) University of east anglia climatic research unit. Climatic research unit, University of East Anglia. Data. UEA, Norwich. http://www.cru.uea.ac.uk. Accessed Aug 2018
Cunha DA, Coelho AB, Féres JG (2015) Irrigation as an adaptive strategy to climate change: an economic perspective on Brazilian agriculture. Environ Dev Econ 20:57–79
Deschênes O, Greenstone M (2007) The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather. Am Econ Rev 97:354–385
Fageria NK, Morais OP, Santos AB (2010) Nitrogen use efficiency in upland rice genotypes. J Plant Nutr 33:1696–1711
FAO (2015) Food and agriculture organization of the united nations. Climate change and food systems: global assessments and implications for food security and trade. Food Agriculture Organization of the United Nations, Rome
Francisco PRM, Santos D, Lima ERV, Moraes JMN, Trindade HCM (2017) Mapping of pedological potencial of soils for cultivation of ssugar cane in Paraíba state using geotechnolgies. J Hyperspectr Remote Sens 7:306–314
Frisch R (1993) Editor’S note. Econometrica 1:1–4
Gornall J, Betts R, Burke E, Clark R, Camp J, Willett K, Wiltshire A (2010) Implications of climate change for agricultural productivity in the early twenty-first century. Philos Trans R Soc B 365:2973–2989
Greene WH (2012) Econometric analysis. Person, New York
Gujarati D, Porter DC (2008) Basic econometrics. McGraw-Hill, New York
Hausman JA (1978) Specification tests in econometrics. Econometrica 46:1251–1272
Hill RC, Griffiths WE, Judge GG (1997) Undergraduate econometrics. Wiley, New York
Hsiao C (2014) Analysis of panel data. Cambridge University Press, Cambridge
IBGE (2016a) Brazilian institute of geography and statistics. Directorate of research, coordination of work and income, National Survey by household sample continuous. Synthesis of Paraíba (Síntese Paraíba). www.ibge.gov.br/estadosat/perfil.php?sigla=pb. Accessed Aug 2018
IBGE (2016b) Brazilian institute of geography and statistics. Municipal agricultural production (Produção Agrícola Municipal 2015). IBGE, Rio de Janeiro www.ibge.gov.br/estadosat/temas.php?sigla=pb&tema=lavouratemporaria2015. Accessed Aug. 2018
IPCC (2014) In: Core Writing Team, Pachauri RK, Meyer LA (eds) Intergovernmental panel on climate change. 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. IPCC, Geneva
Mendelsohn R, Nordhaus WD, Shaw D (1994) The impact of global warming on agriculture: a Ricardian analysis. Am Econ Rev 84:753–771
Olesen JE, Bindi M (2002) Consequences of climate change for European agricultural productivity, land use and policy. Eur J Agron 16:239–262
Parkes M, Yao WW, Ma XY, Li J (2010) Simulation of point source wetting pattern of subsurface drip irrigation. Irrig Sci 29:331–339
Pindyck RS, Rubinfeld DL (1998) Econometric models and economic forecasts. McGraw-Hill, New York
Pinto HS, Assad ED (2008) Global warming and the new geography of the Brazilian agriculture production. Embrapa, São Paulo http://mudancasclimaticas.cptec.inpe.br/~rmclima/pdfs/destaques/CLIMA_E_AGRICULTURA_BRASIL_300908_FINAL.pdf. Accessed Aug 2018
Sant’anna AC, Shanoyanb A, Bergtoldc JS, Caldas MM, Granco G (2016) Ethanol and sugarcane expansion in Brazil: what is fueling the ethanol industry? Int Food Agribus Man 19:163–181
Silva VPR, Sousa FSS, Cavalcanti EP, Souza EP, Silva BB (2006) Teleconnections between sea-surface temperature anomalies and air temperature in Northeast Brazil. J Atmos Sol Terr Phys 68:781–792
Srivastava AK, Rai MK (2012) Sugarcane production: impact of climate change and its mitigation. Biodiversitas 13:214–227
Tintner G (1968) Methodology of mathematical economics and econometrics. The University of Chicago Press, Chicago
UNICA (2015) Brazilian Sugarcane Industry Association. Crop production (Produção por safra). http://www.unicadata.com.br/historico-de-producao-e-moagem.php?idMn=32&tipoHistorico=4. Accessed Aug. 2018
Verbeek M (2000) A guide to modern econometrics. Wiley, Chichester
Wonnacott TH, Wonnacott RJ (1990) Introductory statistics for business and economics. Wiley, New York
Wooldridge JM (2013) Introductory econometrics: A modern approach. South-Western, Thomson, Mason
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The authors thank the National Council for Scientific and Technological Development (CNPq) (Projects 305419/2015-3 and 401687/2016-3) for their support.
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de Medeiros Silva, W.K., de Freitas, G.P., Coelho Junior, L.M. et al. Effects of climate change on sugarcane production in the state of Paraíba (Brazil): a panel data approach (1990–2015). Climatic Change 154, 195–209 (2019). https://doi.org/10.1007/s10584-019-02424-7
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DOI: https://doi.org/10.1007/s10584-019-02424-7