2020
DOI: 10.1002/pa.2088
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The impact of climate change on maize yields and its variability in Telangana, India: A panel approach study

Abstract: The present study explores the effect of climate change on maize yields and its variance in Telangana utilizing Just–Pope production function, spanning the period 1956–2015. The three‐step feasible generalized least squares (FGLS) method is employed to estimate the Just and Pope production function. The empirical results of the work reveal that the average minimum temperature has a significant unfavorable effect on maize yield in Telangana. Maximum temperature and actual rainfall are positively related with ma… Show more

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Cited by 32 publications
(19 citation statements)
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References 59 publications
(76 reference statements)
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“…The positive impact of minimum temperature on cotton yield may be unable offset the adverse effect of maximum temperature as reflected in estimated results. Present results of minimum and maximum temperature in mean yield function of cotton are contrary to some studies such as Padakandla (2016) and Guntukula (2020). The empirical outcomes of climatic factors in mean yield function of cotton are similar with Kumar et al (2015).…”
Section: Estimated Results For Cottonsupporting
confidence: 78%
See 1 more Smart Citation
“…The positive impact of minimum temperature on cotton yield may be unable offset the adverse effect of maximum temperature as reflected in estimated results. Present results of minimum and maximum temperature in mean yield function of cotton are contrary to some studies such as Padakandla (2016) and Guntukula (2020). The empirical outcomes of climatic factors in mean yield function of cotton are similar with Kumar et al (2015).…”
Section: Estimated Results For Cottonsupporting
confidence: 78%
“…Generally, the fixed effects (FE) and random effects (RE) models are designed to estimate the panel data model (Baltagi, 2005). This study selected fixed effects model based on Hausman test results and this preference of fixed effects model is consistent with few existing studies (Barnwal & Kotani, 2010;Cabas et al, 2010;Guntukula & Goyari, 2020;Kim & Pang, 2009;Sarker et al, 2014).…”
Section: Estimation Methodssupporting
confidence: 74%
“…The present study will use both of these approaches to some extent and analyze the impacts of climate change on economic growth and its components, that is, agriculture, manufacturing and services. Guntukula and Goyari, (2020) incorporated climate change in the production function, and this model will be used as baseline in the present study because it provides theoretical basis for incorporating climate change into economic growth equations. Consider the production function.…”
Section: Theoretical Modelmentioning
confidence: 99%
“…Along with the studies on physical impact of climate on crop yields (Lahari & Roy, 1985; Selvaraju (2003); Gurugnanam et al, 2010); there is a fair amount of literature on monetary impact of climate on yields (Fishman, 2012; Guiteras, 2009; Krishnamurthy, 2012; Kumar, 2009; Kumar & Parikh, 2001). Alternatively, studies have estimated the how climate change has impacted the land value or net revenues (Massetti & Mendelsohn, 2011; Mendelsohn, Nordhaus, & Shaw, 1994) Studies have also been undertaken to study the impact of climate on crop yields at the state level in India (Das et al, 2009; Guntukula & Goyari, 2020; Gurugnanam et al, 2010; Kandiannan, Thankamani, & Mathew, 2008; Kumar & Kaur, 2019; Padakandla, 2016; Saseendran, Singh, Rathore, Singh, & Sinha, 2000).…”
Section: Review Of Existing Literaturementioning
confidence: 99%