马哈拉施特拉邦甘蔗全要素生产率趋势:使用DEA和SFA方法的邦级证据

Swapnil Gupta, Prakash Singh Badal
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摘要

本文采用参数和非参数方法对马哈拉施特拉邦1980-81年至2020-21年期间的甘蔗生产力进行了估计。这两种方法的结果表明,由于技术采用是生产率增长的重要来源,因此转变的重要性。DEA和SFA在空间和时间方向上的估计结果相似,从而验证了TFP的估计。增长率分析、不稳定性分析和分解分析按照甘蔗产业改革和总体时期(1950-51年至2020-21年)进行了五个子阶段的分析。20世纪90年代以来,经过成熟的经济改革,国家的面积、生产和生产率正增长。然而,由于该州缺水和地下水位下降,该州在第四和第五分时期存在严重的不稳定问题。TFP的正增长与每年0.3%的平均技术效率下降有关,而平均技术效率每年下降- 0.1%。糖业改革后,全要素生产率恢复了1.09%。TFP决定因素的估计回归结果揭示了长期干旱状态对灌溉设施造成的压力。由于甘蔗是该州的主要经济作物,而且甘蔗糖厂、均衡的营养和农村识字率都产生了大量收入,所有这些都对提高该州的农业生产力做出了积极而重要的贡献。结果表明,产量停滞不仅是由于技术疲劳,也可能是由于投入强度的松懈。这项研究的一个明显延伸是纳入更多的作物和州,以进行详尽的比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends in total factor productivity of sugarcane in Maharashtra: A state level evidence using DEA and SFA approach
This paper applied the both parametric and non-parametric approaches of productivity estimation for sugarcane in Maharashtra for the period of 1980-81 to 2020-21. The result from both the approaches signifies the importance in shift due to technological adoption as a vital source of productivity growth. The estimation of DEA and SFA produced similar results at spatial and temporal directions thus validating the TFP estimation. The analysis for growth rate, instability and decomposition analysis has been carried out for five sub-periods as per the reforms in the sugarcane industry and overall period (1950-51 to 2020-21). The state is witnessing a positive growth rate in area, production and productivity after the Mature Economic Reforms after 1990’s. However the state is suffering from serious instability issues in the sub-periods IV and V due to the scarcity of water and decline in groundwater table of the state. The positive TFP growth has been associated with associated with 0.3 per cent and a declining mean technical efficiency by -0.1 per cent per year. The TFP revived by 1.09 percent after the reforms in the sugar industry. The estimated regression results for TFP determinants revealed pressure on irrigation facilities due to prolonged drought condition of state. Since sugarcane is the leading cash crop of the state and large revenue is being generated by the crop sugar mills, balanced nutrients, and rural literacy all of these have a positive and significant contribution in increasing the agricultural productivity of the state. The results have revealed the yield stagnation is not only due to technology fatigue, but could be due to slacked input intensification. An obvious extension of the study could be incorporating more crops and states for an exhaustive and comparative analysis.
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