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Productivity growth of Indonesian rice production: sources and efforts to improve performance

机译:印度尼西亚大米生产的生产率增长:提高绩效的来源和努力

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Purpose - The purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies. Design/methodology/approach - This study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters. Findings - The results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly. Research limitations/implications - This study has several shortcomings, such as very low ir and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data. Practical implications - The government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress. Social implications - As Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level. Originality/value - The productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.
机译:目的-本文的目的是通过将全要素生产率(TFP)的增长分解为四个组成部分来研究水稻生产的生产率:技术变化,规模效应,技术效率和分配效率。设计/方法/方法-这项研究采用计量经济学方法将TFP增长分解为四个部分:技术变化,技术效率,分配效率和规模效应。 1994年,2004年和2014年对360个水稻种植作业进行了调查,使用了不平衡的面板数据。该模型使用了随机前沿先验对数生产技术来估算技术参数。研究结果-结果表明,全要素生产率增长的主要来源是技术变革和分配效率效应。技术效率的贡献很低,因为它增长缓慢。研究的局限性/含意-该研究存在一些缺陷,例如ir极低,研究结果中呈现的劳动弹性微不足道。另一个限制是有限的时间段面板覆盖了较长的时间间隔,从而导致数据不平衡。实际意义-政府应通过分配更多的稻米生产面积来提高生产力,从而提高规模和效率效应,并调整资本和物质投入的使用。应加强推广服务,为农民提供有关改良农艺技术的培训。此举将提高技术效率表现并导致技术进步。社会影响-由于印度尼西亚人口仍在以惊人的速度增长,并且大米是印度尼西亚人民的主要主食,因此稻米生产的生产率应不断提高,以确保国家一级的社会安全。独创性/价值-使用基于农场水平数据的先验对数生产技术,将生产率增长分解为四个部分。印度尼西亚甚至在稻米生产国也未曾采取过该措施。

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