Journal of
Development and Agricultural Economics

  • Abbreviation: J. Dev. Agric. Econ.
  • Language: English
  • ISSN: 2006-9774
  • DOI: 10.5897/JDAE
  • Start Year: 2009
  • Published Articles: 555

Full Length Research Paper

Climate sensitivities and farmland values in Nepal: A spatial panel Ricardian approach

Samrat B. Kunwar
  • Samrat B. Kunwar
  • Department of Economics, New Mexico, USA.
  • Google Scholar
Alok K. Bohara
  • Alok K. Bohara
  • Department of Economics, New Mexico, USA.
  • Google Scholar


  •  Received: 24 February 2017
  •  Accepted: 28 April 2017
  •  Published: 30 June 2017

References

Acharya SP, Bhatta GR (2013). Impact of climate change on agricultural growth in Nepal. NRB Econ. Rev. 25(2):1-16.
 
Anyamba A, Small JL, Britch SC, Tucker CJ, Pak EW, Reynolds CA, Crutchfield J, Linthicum KJ (2014). Recent weather extremes and impacts on agricultural production and vector-borne disease outbreak patterns. PLoS One 9(3):e92538.
Crossref
 
Anselin L, Bera AK (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics. Statistics Textbooks Monogr. 155:237-290.
 
Anselin L, Le Gallo J, Jayet H (2008). Spatial panel econometrics. In The econometrics of panel data Springer Berlin Heidelberg. pp. 625-660.
Crossref
 
Bannayan M, Hoogenboom G, Crout NMJ (2004). Photothermal impact on maize performance: A simulation approach. Ecol. Model. 180(2):277-290.
Crossref
 
Baylis K, Paulson ND, Piras G (2011). "Spatial approaches to panel data in agricultural economics: a climate change application. J. Agric. Appl. Econ. 43(3):325-338.
Crossref
 
Bhatt D, Maskey S, Babel MS, Uhlenbrook S, Prasad KC (2014). Climate trends and impacts on crop production in the Koshi River basin of Nepal. Reg. Environ. Change 14(4):1291-1301.
Crossref
 
Bronaugh D, Hiebert MJ (2015). Pacific Climate Impacts Consortium. climdex.pcic: PCIC Implementation of Climdex Routines [Computer software manual]. Retrived from https://CRAN.R-project.org/package=climdex.pcic (R package version 1.1-6).
 
Central Bureau of Statistics (CBS) (2004). Nepal Living Standards Survey: Statistical Report 2003/04, Volumes I and II. Kathmandu: National Planning Commission/ His Majesty's Government of Nepal.
 
Central Bureau of Statistics (CBS) (2010). Nepal Living Standards Survey: Statistical Report 2010/11, Volumes I and II. Kathmandu: National Planning Commission/ His Majesty's Government of Nepal.
 
Cohen J, Cohen P, West SG, Aiken LS (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
 
Chatzopoulos T, Lippert C (2016). Endogenous farm-type selection, endogenous irrigation, and spatial effects in Ricardian models of climate change. Euro. Rev. Agric. Econ. 43(2):217-235.
Crossref
 
Cline WR (1996). The impact of global warming of agriculture: comment. Am. Econ. Rev. 86(5):1309-1311.
 
Darwin R (1999). The impact of global warming on agriculture: A Ricardian analysis: Comment. Am. Econ. Rev. 89(4):1049-1052.
Crossref
 
Deressa T, Hassan R, Poonyth D (2005). Measuring the impact of climate change on South African agriculture: the case of sugarcane growing regions. Agrekon 44(4):524-542.
Crossref
 
De Salvo M, Begalli D, Signorello G (2014). The Ricardian analysis twenty years after the original model: Evolution, unresolved issues and empirical problems. J. Dev. Agric. Econ. 6(3):124-131.
Crossref
 
Deschenes O, Greenstone M (2007). The economic impacts of climate change: evidence from agricultural output and random fluctuations in weather. The American Economic Review, 97(1), 354-385.
Crossref
 
Deschenes O, Greenstone M (2011). Using panel data models to estimate the economic impacts of climate change on agriculture. Handbook on Climate Change and Agriculture pp. 112-140.
Crossref
 
Elhorst JP (2014). Spatial panel data models. In Spatial Econometrics. Springer Berlin Heidelberg pp. 37-93.
Crossref
 
Field CB (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press.
Crossref
 
Gum W, Singh PM, Emmett B (2009). Even the Himalayas have stopped smiling': climate change, poverty and adaptation in Nepal. 'Even the Himalayas have stopped smiling': climate change, poverty and adaptation in Nepal.
 
Howden SM, Soussana JF, Tubiello FN, Chhetri N, Dunlop M, Meinke H (2007). Adapting agriculture to climate change. Proceed. Natl. Acad. Sci. 104(50):19691-19696.
Crossref
 
IPCC (2007). Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R.K and Reisinger, A. (eds.)]. IPCC, Geneva, Switzerland 104 p.
 
IPCC (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 [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp.
 
Joshi J, Ali M, Berrens RP (2017). Valuing farm access to irrigation in Nepal: A hedonic pricing model. Agric. Water Manage. 181:35-46.
Crossref
 
Karn PK (2014). The impact of climate change on rice production in Nepal (No. 85).
 

Krishnamurthy PK, Hobbs C, Matthiasen A, Hollema SR, Choularton RJ, Pahari K, Kawabata M (2013). Climate risk and food security in Nepal—analysis of climate impacts on food security and livelihoods. 

View

 
Kumar KK (2011). Climate sensitivity of Indian agriculture: do spatial effects matter?. Cambridge J. Reg. Econ. Soc. P. rsr004.
Crossref
 
LeSage JP, Fischer MM (2008). Spatial growth regressions: model specification, estimation and interpretation. Spatial Econ. Anal. 3(3):275-304.
Crossref
 
LeSage JP, Pace RK (2009). Introduction to Spatial Econometrics (Statistics, textbooks and monographs). CRC Press.
Crossref
 
Lippert C, Krimly T, Aurbacher J (2009). A Ricardian analysis of the impact of climate change on agriculture in Germany. Clim. Change 97(3):593-610.
Crossref
 
Lobell DB, Burke MB (2008). Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation. Environ. Res. Lett. 3(3):034007.
Crossref
 
Malla G (2009). Climate change and its impact on Nepalese agriculture. J. Agric. Environ. 9:62-71.
Crossref
 
Massetti E, Mendelsohn R (2011). Estimating Ricardian models with panel data. Clim. Change Econ. 2(04):301-319.
Crossref
 
Massetti E, Nascimento GRDC, Fortes de Oliveira A, Mendelsohn RO (2013). The Impact of Climate Change on the Brazilian Agriculture: A Ricardian Study at Microregion Level.
 
Mendelsohn R, Nordhaus WD, Shaw D (1994). The impact of global warming on agriculture: a Ricardian analysis. Am. Econ. Rev. pp. 753-771.
 
Meyers RH (2000). Classical and modern regression with applications (Duxbury Classic). Duxbury Press, Pacific Grove.
 
Patton M, McErlean S (2003). Spatial effects within the agricultural land market in Northern Ireland. J. Agric. Econ. 54(1):35-54.
Crossref
 
Polsky C (2004). Putting space and time in Ricardian climate change impact studies: Agriculture in the US Great Plains, 1969–1992. Ann. Assoc. Am. Geogr. 94(3):549-564.
Crossref
 
Rosenzweig C, Iglesias A, Yang XB, Epstein PR, Chivian E (2001). Climate change and extreme weather events; implications for food production, plant diseases, and pests. Glob. Change Hum. Health 2(2):90-104.
Crossref
 
Schlenker W, Hanemann WM, Fisher AC (2005). Will US agriculture really benefit from global warming? Accounting for irrigation in the hedonic approach. Am. Econ. Rev. 95(1):395-406.
Crossref
 
Seo SN, Mendelsohn R (2008). Climate change impacts on Latin American farmland values: the role of farm type. Rev. Econ. Agron. 6(2):159-176.
 
Tobler WR (1979). Cellular geography. In Philosophy in geography. Springer Netherlands pp. 379-386.
Crossref