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Sustainable Agricultural Development and Rural Poverty in India 可持续农业发展与印度农村贫困
Pub Date : 2015-06-30 DOI: 10.1002/9781119705222.ch10
Jasmeet Kaur
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.
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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引用次数: 3
DETERMINANTS OF LOAN REPAYMENT PERFORMANCE: THE CASE STUDY OF HARARI MICROFINANCE INSTITUTIONS 贷款偿还绩效的决定因素:哈拉里小额信贷机构的案例研究
Pub Date : 2015-02-28 DOI: 10.5897/JAERD2014.0622
Firafis Haile
The study was conducted in Eastern Hararghe Zone of the Harari Regional State, Ethiopia. This study is intended to assess factors affecting loan repayment performance of Harari Microfinance Institution. The survey was conducted in three Kebele Associations having the maximum number of borrowers, by selecting 120 sample households through systematic random sampling between defaulters and non-defaulters of the MFI. Out of 120 borrowers, 50% were defaulters, and the remaining half was non-defaulters. Pre-tested structured interview schedule was used to collect primary and secondary data. Key informant interviews and focus group discussions were used to generate the necessary qualitative data. The collected data were analyzed by employing descriptive statistics and logistic regression (binary logit). A total of fifteen explanatory variables were included in the empirical model and out of these, nine were found to be statistically significant to influence the dependent variable. These significant variables are: Saving habit of borrowers, loan size, perception of borrowers on repayment period, source of income, availability of training, business experience, business type, family size, and the purpose of saving were found influencing loan repayment performance as evidenced from the model statistic (significant at 1, 5 and 10%). The econometric result revealed that the probability of default increases as the family size increases, when the borrower has negative perception on repayment period, less training, low business experience, poor saving habit and only single source of income. On the basis of the study findings, some recommendations were made to improve loan repayment performance in the study area. The strategy would be: Reducing family size through expanding family planning program, increasing borrower’s perception on repayment period through training, selecting business-experienced borrowers. The study also recommends a plan to assist borrowers in the study area to increase their business entrepreneurs’ skills through appropriate infrastructure, enhanced lendable funds in the microfinance institutions and business training for borrowers, enhanced loan amount and addressing challenges facing the microfinance institution.   Key words: Binary logit, loan repayment, microfinance, performance, policy makers.
这项研究是在埃塞俄比亚哈拉里州的哈拉格东部地区进行的。本研究旨在评估影响哈拉里小额信贷机构贷款偿还绩效的因素。该调查是在借款人最多的三个Kebele协会进行的,通过系统随机抽样在小额信贷机构的违约者和非违约者之间选择120个样本家庭。在120名借款人中,50%是违约者,其余一半是非违约者。采用预先测试的结构化访谈表收集第一手资料和第二手资料。主要信息提供者访谈和焦点小组讨论被用来产生必要的定性数据。收集的数据采用描述性统计和逻辑回归(二进制logit)进行分析。总共有15个解释变量被包括在经验模型中,其中9个被发现在统计上显著影响因变量。这些重要的变量是:借款人的储蓄习惯,贷款规模,借款人对还款期的看法,收入来源,培训的可用性,业务经验,业务类型,家庭规模和储蓄的目的被发现影响贷款偿还绩效,从模型统计(显著为1,5和10%)。计量经济学结果显示,当借款人对还款期限有负面看法、培训较少、商业经验较低、储蓄习惯较差、收入来源单一时,违约概率随家庭规模的增加而增加。在研究结果的基础上,提出了一些改善研究地区贷款偿还绩效的建议。其策略是:通过扩大计划生育项目来缩小家庭规模;通过培训来提高借款人对还款期限的认识;选择有商业经验的借款人。该研究还建议制定一项计划,通过适当的基础设施、增加小额信贷机构的可贷款资金和对借款人的业务培训、增加贷款金额和解决小额信贷机构面临的挑战,帮助研究领域的借款人提高其商业企业家技能。关键词:二元逻辑,贷款偿还,小额信贷,绩效,决策者。
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引用次数: 23
Farmer to Market Linkages: Revamping Under the Emerging Value-Chain System 农民与市场的联系:新兴价值链体系下的改造
Pub Date : 2013-03-13 DOI: 10.2139/SSRN.2232629
A. Bhadauria
The fate of human settlement and development has taken place either through agriculture or it is largely affected by agriculture. The farmers are the only producers providing materials for other sectors to thrive on the demand and supply of basic raw material clearly evident from backward and forward linkages. In the recent economic system too each and every activity pertaining to Agriculture and Allied Activities has close relation with market environment. Recent surging food prices could be the best example of serious repercussions of broken link of farmers and the channel members such as wholesaler, retailer and other middle men in which wholesale price index for food articles has risen 17.5% since March 2009 and pulses by a steep 41.5%. Had the linkage among farmers and other marketing networks been incidentally appropriate, price of food products should have been accommodating with the contemporary market forces. The paper brings forth the issue of farmer to market linkage with the comprehensive look at the problem of participation of village community in the peri-urban industries and tapping of unutilized potential of rural markets and resources.
人类住区和发展的命运要么通过农业发生,要么在很大程度上受到农业的影响。农民是唯一的生产者,为其他部门提供材料,使其在基本原材料的供求关系上蓬勃发展,这从向后和向前的联系中可以明显看出。在最近的经济体制中,与农业和相关活动有关的每一项活动都与市场环境密切相关。最近食品价格的飙升可能是农民与批发商、零售商和其他中间商等渠道成员断开联系的严重后果的最好例子,其中食品批发价格指数自2009年3月以来上涨了17.5%,豆类价格指数飙升了41.5%。如果农民和其他销售网络之间的联系偶然是适当的,粮食产品的价格应该与当代市场力量相适应。本文在综合考察农村社区参与城郊产业和开发农村市场和资源未利用潜力问题的基础上,提出了农民与市场的联动问题。
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引用次数: 0
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International Journal of Research in Commerce, Economics and Management
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