This paper analyzes the effects of education on farm productivity in the case of growers of modern and traditional varieties of paddy in Odisha, Eastern India. Using an endogenous switching regression model, the study has found that a minimum threshold level of education is significantly influencing the adoption of modern varieties of paddy and thereby the farm productivity of adopters only. So, the study finds the evidence in support of Schultz hypothesis that says education enhances farm productivity in the case of adopters of modern technology. The study suggests that farmers' field school program must be implemented along with a strong extension network in the study region for a wider dissemination modern technology.
This paper examines the impact of clean energy consumption (CEC) on economic growth (EG) and CO2 emissions (CO2) within a framework of environmental Kuznets curve (EKC) hypothesis in a panel of BRICS countries for the period 1992–2014. The results indicated that CEC and EG have a significant positive impact on EG, while CO2 has a negative impact on it. Our results also found that EC and EG increase CO2 while CEC significantly reduces it. Further, we found that the EKC hypothesis is valid in the BRICS countries. Finally, panel causality test indicated that unidirectional causality running from EC to EG. However, we did not find a causal relationship between CEC and EG. Based on these results, some of the policy implications have proposed for these emerging market economies.
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 maize yield; however, the maximum temperature is not statistically significant. Furthermore, rainfall and minimum temperature are risk‐shrinking factors, but the maximum temperature is a risk‐enhancing factor for maize yields during the study period. The study results have key implications for developing suitable local level adaptation policies in Telangana.
This paper evaluates the efficiency of Indian Life Insurance Industry by employing two-stage Relational data envelopment analysis (DEA) methodology to derive system and divisional efficiency scores. The main advantage of two-stage relational DEA is that it identifies the inefficient stage of the process, where multiple stages are involved and help the firm/decision-making unit (DMU) to concentrate in that stage to improve efficiency. Also, this paper analyses the leader-follower among the stages in twostage DEA using a non-cooperative approach combined with the Pareto solution to identify the dominant decision stage. The empirical results from the data on 17 life insurance companies for the year 2013-2014 clearly show that the companies that are dominant in investment stage are maintaining relatively higher overall efficiency than the companies that are dominant in the premium stage. This key inference has far-reaching managerial implications for the insurance companies towards improving the overall efficiency.
Keywords Efficiency
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.