An Econometric Analysis of Yield Variability in Paddy Production

By K. Kalirajan. 2008

225 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c4a983039480f993e1ca6d8893014b297fc4450c

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Citations in the corpus

Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach (2007, background): “differences in individual technical efficiency levels rather than as an input in the production function (e.g., Bravo-Ureta and Evenson, 1994; Kalirajan, 1981; Kalirajan and Shand, 1985; Seyoum et al., 1998; Young and Deng, 1999).”
International Trade and its Effects on Economic Growth in China (2010, background): “Kavoussi (1984), after studying 73 middle and low-income developing countries, found out that higher rates of economic growth was strongly correlated with higher rates of export growth. He showed that the positive correlation between exports and growth holds for both middle- and low-income countries”
Technical Efficiency and its Determinants in Tomato Production in Karnataka, India: Data Envelopment Analysis (DEA) Approach (2009, background): “This fact has been emphasized in many studies, particularly on cereals and pulses (Kalirajan, 1981; 1982; Bagi, 1982; Battese, 1992; Battese and Coelli, 1988; 1992; Anjana et al., 1996; Sharif and Dar, 1996; Battese and Broca, 1997; Villano and Fleming, 2006; Mehmet and Ceyhan, 2007).”
Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin (2010, background): “In general, a large part of the technical inefficiency of a farmer is explained by some socio-demographic factors such as age, education, sex, and other household demographic factors (Kalirajan 1981; Pitt and Lee 1981; Battese 1992).”
Regulatory Contracts and Cost Efficiency: Stochastic Frontier Evidence from the Italian Local Public Transport (2006, background): “In particular, a number of later empirical studies (e.g., Pitt and Lee, 1981; Kalirajan, 1981; Kalirajan and Shand, 1989; Mester, 1997) have investigated the determinants of productive inefficiencies among firms in an industry by regressing the predicted inefficiency effects, obtained from an estima”
Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey (2007, result): “Similar results were reported by Kalirajan (1981) in India, Kalirajan and Flinn (1983) in the Philippines, Kalirajan (1984) in the Philippines and Binam et al. (2004) in Cameroon.”
Frontier Technology and Absorptive Capacity: Evidence from OECD Manufacturing Industries (2006, unknown): “whereas Miller and Upadhyay (2000) find no significant effect from this same variable in a slightly smaller sample.”
Migration, local off-farm employment, and agricultural production efficiency: evidence from China (2015, unknown): “In the second step, the estimated technical efficiency parameter is then regressed on variables that could potentially determine the technical efficiency (Pitt andLee 1981;Kalirajan 1981; Chen et al. 2009a).”