印尼农业转型:能走多远?它会去哪里?

M. Abduh
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摘要

这项研究考察了印尼经济从农业部门向非农业部门转变过程中出现的不平等现象。这些研究问题包括:(1)在过去二十年中,印尼各省的农业部门发生了怎样的变化?(2)几个社会经济变量对农业转型的广泛影响是什么?(3)在过去十年中,农业分部门如何应对这些社会经济因素的动态变化?分析的范围是印度尼西亚整个省,时间序列为2001-2018年。利用贫困指标和该部门对每个省的经济贡献,绘制了省一级农业变化的地图。采用logistic回归方法考察社会经济因素对农业转型的影响。相比之下,面板回归被应用于回应农业分部门在过去十年的社会经济方面的动态。根据农业转型图谱的结果,农村贫困的分布和农业贡献因素在各省之间没有变化。若干宏观经济、社会和基础设施发展因素也对鼓励农业转型和提高整个农业部门的附加值作出了重大贡献。重要的是要更有效地利用经济潜力,这是通过考虑生产效率来实现的。此外,在试图提高经济生产力时,必须考虑到消费者的行为和工人的生产力水平。
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Indonesia Agricultural Transformation: How Far? Where Would It Go?
This research examined the inequality that emerges as Indonesia's economy shifts from an agricultural to a non-agricultural sector at the subnational level. These research questions include: (1) How has the agricultural sector in the Indonesian provinces changed over the past two decades? (2) What was the widespread impact of several socioeconomic variables on the transformation of agriculture? (3) How has the agricultural sub-sector responded to the dynamics of these socioeconomic factors over the last decade? The scope of the analysis was the whole province of Indonesia, with time series between 2001-2018. The shift in agriculture at the provincial level was mapped using indicators of poverty and the sector's economic contribution to each province. The logistic regression method was used to see the impact of socioeconomic factors on the agricultural transformation. In contrast, the panel regression was applied to respond to the dynamics of the agricultural sub-sector in terms of socioeconomics in the last ten years. According to the findings of agricultural transformation mapping, there were no changes in the distribution of rural poverty or the agricultural contribution factors between the provinces. Several macroeconomic, social, and infrastructure development factors also significantly contributed to encouraging agricultural transformation and enhancing the added value of the agricultural sector as a whole. It was important to better efficiently utilize the economic potential, which was done by taking production efficiency into account. Furthermore, consumer behaviour and the level of worker productivity had to be considered in attempts to boost economic productivity.
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