可持续农业发展与印度农村贫困

Jasmeet Kaur
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引用次数: 3

摘要

印度的收入分配基本上分为两个主要部门——即第一部门和第二部门。近年来,农业占印度国内生产总值(GDP)的比例稳步下降,目前为15%。这是由于工业和服务业的高增长率。本章讨论了作为农业发展综合指数(CIAD)的印度可持续农业发展的空间格局及其与农村贫困的关系。回归分析通过建立模型和分析印度贫困的整体结构得出了各种结果。这些模型代表了农村贫困和可持续农业发展的各种指标,并证明了两者之间的关系。最重要的特征是,具有巨大农业潜力的邦,如中央邦、喀拉拉邦和奥里萨邦,由于其地理结构和人口的社会构成(即在人口中有很高比例的种姓(SC)和部落(ST))以及落后的灌溉设施,一直处于发展阶梯的较低阶段。这限制了技术创新在农业部门的迅速传播。在这些州,农业仍然是自给自足的,没有商业化。阿萨姆邦综合得分最低,农业条件不利,包括土地可用性、灌溉设施、ST人口高度集中、地理位置偏远以及与该国较发达地区的互动程度低。所有这些都是实现农业高水平发展的主要制约因素。CIAD的农村贫困模型和相关指数显示,在比哈尔邦、奥里萨邦、中央邦和北方邦等增长缓慢的邦,农村贫困人口的集中度更高。在这些邦,高种姓和高种姓集中的农村地区仍然存在半封建的农业关系。相反,旁遮普邦、哈里亚纳邦、安得拉邦、喀拉拉邦等繁荣地区的贫困程度要低得多,导致农村贫困的区域分布差异相对较大。这些统计数据表明,印度迫切需要努力打破贫困、信贷负担和环境恶化的循环,改善农民的生计。
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Sustainable Agricultural Development and Rural Poverty in India
Income distribution in India is largely divided into two major sectors- i.e. .primary and secondary. The percentage share of agriculture to India’s gross domestic product (GDP) has seen a steady decline in recent years and currently stands at 15%. This is attributable to the high growth rates in the industrial and services sectors of the economy. This chapter addresses the spatial pattern of sustainable agricultural development as a Composite Index of Agricultural Development (CIAD) and its relationship with rural poverty in India. The regression analysis leads to various findings through model building and analyzing the overall structure of poverty in India. The models represent various indicators of rural poverty and sustainable agricultural development and justify the relationship between the two. The vital feature is that the states having vast agricultural potential, such as Madhya Pradesh, Kerala and Orissa have remained at the lower rung of the development ladder due to their geographical configuration and social composition of the population (i.e. having a high percentage of scheduled castes (SC) and scheduled tribes (ST) in the population) along with poor irrigational facilities, which has been a constraint to the rapid diffusion of technological innovation in the agricultural sector. In these states, agriculture is still of subsistence nature and has not been commercialized. With the lowest composite scores, Assam suffers from unfavorable conditions for agriculture which are land availability, irrigation facility, high concentration of ST population, remote setting and low level of interaction with the more developed regions of the country. All this has acted as a major constraint to achieving a high a level of agricultural development. The CIAD model of rural poverty and related indices reveal that there is a higher concentration of rural poor in the slow-growing states like Bihar, Orissa, Madhya Pradesh and Uttar Pradesh. In these states, there still exists semi-feudal agrarian relation in the rural areas with a high concentration of SC and ST. On the contrary poverty is much lower in the prosperous regions of Punjab, Haryana, Andhra Pradesh, Kerala etc, resulting into relatively higher variability in regional distribution of rural poverty. These statistics demonstrate the need for India to urgently strive to break the cycle of poverty, credit burden and environmental degradation and improve the livelihood of farmers.
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