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).
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References
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 53
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 8:395–414
Battese GE, Coelli TJ (1988) Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. J Econometrics 38:387–399
Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J Prod Anal 3:153–169
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 22
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in stochastic frontier production function for panel data. Empirical Economics 20:325–332
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):169–179
Bruns BR, Meinzen-Dick RS (2000). Negotiating water rights. IFPRI-CGIAR. Intermediate Technology Publications
Chakravorty U, Umetsu C (2003) Basinwide water management: a spatial model. J Environ Econ Manage 45:1–23
Coelli TJ, Prasada-Rao D, Battese GE (1998) An introduction to efficiency and productivity analysis. Kluwer Academic Publishers, Boston
Cuesta RA (2000) A production model with firm-specific temporal variation in technical inefficiency: with applications to Spanish dairy farms. J Prod Anal 13:139–158
FAO (2002) Crops and drops: making the best use of water for agriculture. Rome
Giannakas K, Tran K, Tzouvelekas V (2003) On the Choice of functional form in stochastic frontier modeling. Empirical Economics 28:75–100
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):259–281
Haughton J, Khandker SR (2009) Handbook on poverty and inequality. World Bank, Washington
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 62:462–474
Huang CF, Liu J (1994) Estimation of a Non-Neutral Stochastic Frontier Production Function. The Journal of Productivity Analysis 5:171–180
Kumbhakar SC (1990) Production frontiers, panel data, and time-varying technical inefficiency. J Econometrics 46(1–2):201–211
Lerman R, Yitzhaki S (1985) Income inequality effects by income source: a new approach and applications to the United States. Rev Econ Stat 67:151–156
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):21–33
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 12:251–269
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 80:195–205
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 107–139
Pyatt G, Chen C, Fei J (1980) The distribution of income by factor components. Quart J Econ 95:451–474
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):505–518
Quiroga S, Fernández-Haddad Z, Suárez C (2014) Do water rights affect technical efficiency and social disparities of crop production in the Mediterranean? Water 6:3300–3319
Sadras V, Bongiovanni R (2004) Use of Lorenz curves and Gini coefficients to assess yield inequality within paddocks. Field Crops Res 90:303–310
Seckler D (1996) The new era of water resources management: from “dry” to “wet” water savings. International Irrigation Management Institute Research Report 1
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)
Shorrocks AF (1982) Inequality decomposition by factor components. Econometrica 50:193–212
Zellner A, Kmenta J, Dréze J (1966) Specification and estimation of Cobb-Douglas production function models. Econometrica 34:784–795
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 2008
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Quiroga, S., Fernández-Haddad, Z., Suárez, C. (2018). Crop Production Functions and Efficiency Models: Climate Change and Water Adaptation Policy Over Competitiveness and Social Disparities of Crop Production in the Mediterranean. In: Quiroga, S. (eds) Economic Tools and Methods for the Analysis of Global Change Impacts on Agriculture and Food Security. Springer, Cham. https://doi.org/10.1007/978-3-319-99462-8_1
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