Impact of Erratic Rainfall from Climate Change on Pulse Production Efficiency in Lower Myanmar

Abstract

Erratic rainfall has a detrimental impact on crop productivity but rainfall during the specific growth stage is rarely used in efficiency analysis. This study focuses on this untapped point and examines the influence of rainfall specifically encountered during the sowing stage and early vegetative growth stage and the flowering stage of pulses on productivity and efficiency in Lower Myanmar using data from 182 sample farmers. The results of a stochastic frontier production function reveal that rainfall incidence during the flowering season of pulses has a negatively significant effect on yield while replanting crops after serious damage by rain increases productivity. Controlled rainfall variables, seed rate, human labor and land preparation cost are important parameters influencing pulses yield. In the efficiency model, levels of yield loss have a negative impact while being a male household head, access to government credit, access to training, locating farms in the Bago Region and possessing a large area of pulses have a positively significant effect on technical efficiency. Policy recommendations include the establishment of a safety network, such as crop insurance to protect farmers from losses due to unpredictable weather conditions, promoting training programs on cultural practices adapted to climate change, wide coverage of extension activities, giving priority to small-scale farmers and female farmer participation in training and extension activities and increasing the rate of credit availability to farmers.

Assessment of Technical Efficiency and Its Potential Determinants among Small-Scale Coffee Farmers in Rwanda

“…A TE score closer to 1 implies that a coffee producer is producing nearer to the maximum output feasible level. Jondrow et al [24] suggested that the level of TE can be predicted using the conditional expectation of u i , given the disturbance term ε i , which is defined in Equation 4as follows [25,26]:…”

“…For this study, the likelihood ratio test indicates that CD production function is the most appropriate functional form that effectively fits our data than the TL. The model is then specified as follows [21,25,27]:…”

Assessing the Impacts of Land Consolidation on Agricultural Technical Efficiency of Producers: A Survey from Jiangsu Province, China

“…Technical efficiency can be analyzed by using parametric or non-parametric methods. Both methods have their strengths and weaknesses [62][63][64][65]. Given the wide scope of factors of production considered and the relatively small sample size, regression analysis using the translog production function may have low efficiency and high uncertainty.…”

Grain Area Yield Index Insurance Ratemaking Based on Time–Space Risk Adjustment in China

“…The time-varying risk characteristics of grain YPUA and the impact on the premium rate have been ignored. The risk of grain YPUA may have obvious time-varying characteristics due to the improvement in agricultural disaster prevention capability, the progress of agricultural technology, the adjustment of the agricultural industrial structure, and changes in a disaster situation [26,27]. Generally, crop YPUA risk is a random or proportional volatility with time or yield growth, corresponding to the constant variance or proportional variance in the yield trend estimation.…”