Advertisement

Crop Production Functions and Efficiency Models: Climate Change and Water Adaptation Policy Over Competitiveness and Social Disparities of Crop Production in the Mediterranean

  • S. Quiroga
  • Z. Fernández-Haddad
  • C. Suárez
Chapter

Abstract

Worldwide, agriculture represents over 70% of water resource use. Within the sector, irrigation is the process that requires most of this water, therefore, water rights and changes occurring in them play a significant role in sustainability of diverse ecosystems (Bruns and Meinzen-Dick in Negotiating water rights. IFPRI-CGIAR, Intermediate Technology Publications, 2000).

References

  1. Atwi M, Arrojo P (2007). Local government practices and experiences in IWRM in the River Basin of the Ebro, Spain. A document of the “LoGo Water” project, p 53Google Scholar
  2. Battese GE, Broca SS (1997) Functional forms of stochastic frontier production functions and models for technical inefficiency effects: a comparative study for wheat farmers in Pakistan. J Prod Anal 8:395–414CrossRefGoogle Scholar
  3. Battese GE, Coelli TJ (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econometrics 38:387–399CrossRefGoogle Scholar
  4. Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J Prod Anal 3:153–169CrossRefGoogle Scholar
  5. Battese GE, Coelli TJ (1993). A stochastic frontier production function incorporating a model for technical inefficiency effects. Working Papers in Econometrics and Applied Statistics, No. 69. Department of Econometrics, University of New England, p 22Google Scholar
  6. Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in stochastic frontier production function for panel data. Empirical Economics 20:325–332CrossRefGoogle Scholar
  7. Battese GE, Corra GS (1977) Estimation of a production frontier model: with application to the pastoral zone of Eastern Australia. Aust J Agric Econ 21(3):169–179Google Scholar
  8. Bruns BR, Meinzen-Dick RS (2000). Negotiating water rights. IFPRI-CGIAR. Intermediate Technology PublicationsGoogle Scholar
  9. Chakravorty U, Umetsu C (2003) Basinwide water management: a spatial model. J Environ Econ Manage 45:1–23CrossRefGoogle Scholar
  10. Coelli TJ, Prasada-Rao D, Battese GE (1998) An introduction to efficiency and productivity analysis. Kluwer Academic Publishers, BostonCrossRefGoogle Scholar
  11. Cuesta RA (2000) A production model with firm-specific temporal variation in technical inefficiency: with applications to Spanish dairy farms. J Prod Anal 13:139–158CrossRefGoogle Scholar
  12. FAO (2002) Crops and drops: making the best use of water for agriculture. RomeGoogle Scholar
  13. Giannakas K, Tran K, Tzouvelekas V (2003) On the Choice of functional form in stochastic frontier modeling. Empirical Economics 28:75–100CrossRefGoogle Scholar
  14. Gómez-Limón JA, Arriaza M, Berbel J (2002) Conflicting implementation of agricultural and water policies in irrigated areas in the EU. J Agric Econ 53(2):259–281CrossRefGoogle Scholar
  15. Haughton J, Khandker SR (2009) Handbook on poverty and inequality. World Bank, WashingtonGoogle Scholar
  16. Hoang V-N, Coell T (2011) Measurement of agricultural total factor productivity growth incorporating environmental factors: A nutrients balance approach. Journal of Environmental Economics and Management 62:462–474CrossRefGoogle Scholar
  17. Huang CF, Liu J (1994) Estimation of a Non-Neutral Stochastic Frontier Production Function. The Journal of Productivity Analysis 5:171–180CrossRefGoogle Scholar
  18. Kumbhakar SC (1990) Production frontiers, panel data, and time-varying technical inefficiency. J Econometrics 46(1–2):201–211CrossRefGoogle Scholar
  19. Lerman R, Yitzhaki S (1985) Income inequality effects by income source: a new approach and applications to the United States. Rev Econ Stat 67:151–156CrossRefGoogle Scholar
  20. Liu J, Wiberg D, Zehnder AJB, Yang H (2007) Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China. Irrig Sci 26(1):21–33CrossRefGoogle Scholar
  21. López-Feldman A, Mora J, Taylor JE (2007) Does natural resource extraction mitigate poverty and inequality? Evidence from rural Mexico and a Lacandona Rainforest Community. Environ Dev Econ 12:251–269CrossRefGoogle Scholar
  22. Pan XY, Wang GX, Yang HM, Wei XP (2003) Effect of water deficits on within-plot variability in growth and grain yield of spring wheat in northwest China. Field Crops Res 80:195–205CrossRefGoogle Scholar
  23. Pender J, Gebremedhin B (2006) Land management, crop production, and household income in the highlands of Tigray, Northern Ethiopia: an econometric analysis in “Strategies for sustainable land management in the East African Highlands” IFPRI, Chap. 5. pp 107–139Google Scholar
  24. Pyatt G, Chen C, Fei J (1980) The distribution of income by factor components. Quart J Econ 95:451–474CrossRefGoogle Scholar
  25. Quiroga S, Fernández-Haddad Z, Iglesias A (2011a) Crop yields response to water pressures in the Ebro basin in Spain: risk and water policy implications. Hydrol Earth Syst Sci 15(2):505–518CrossRefGoogle Scholar
  26. Quiroga S, Fernández-Haddad Z, Suárez C (2014) Do water rights affect technical efficiency and social disparities of crop production in the Mediterranean? Water 6:3300–3319CrossRefGoogle Scholar
  27. Sadras V, Bongiovanni R (2004) Use of Lorenz curves and Gini coefficients to assess yield inequality within paddocks. Field Crops Res 90:303–310CrossRefGoogle Scholar
  28. Seckler D (1996) The new era of water resources management: from “dry” to “wet” water savings. International Irrigation Management Institute Research Report 1Google Scholar
  29. Seekell DA, D’Odorico P, Pace ML (2011) Virtual water transfers unlikely to redress inequality in global water use. Environ Res Lett 6:024017(p 6)CrossRefGoogle Scholar
  30. Shorrocks AF (1982) Inequality decomposition by factor components. Econometrica 50:193–212CrossRefGoogle Scholar
  31. Zellner A, Kmenta J, Dréze J (1966) Specification and estimation of Cobb-Douglas production function models. Econometrica 34:784–795CrossRefGoogle Scholar
  32. Zhu X, Demeter RM, Oude Lansink A (2008) Competitiveness of dairy farms in three countries: the role of CAP subsidies. Paper presentation at 12th congress of the European Association of Agricultural Economists (EAAE 2008), Sevilla Spain, 29 Jan–1 Feb 2008Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Universidad de Alcalá (UAH)Alcalá de HenaresSpain
  2. 2.Secretaría de Desarrollo Social (SEDESOL)Mexico DFMexico

Personalised recommendations