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The IUP Journal Of Agricultural Economics:
Determinants of Rural Non-farm Employment in Telangana Region of Andhra Pradesh: A Case Study
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This study explicates that Agriculture still continues to be the major source of employment in the developing countries like India. It is distressing to note that more than five decades of agricultural growth could not relieve the burden of agriculture in absorbing the labor force. In this paper, the determinants of Rural Non-farm Employment (RNFE) in telengana region in Adilabad district are analyzed. A multivariate statistical technique is used in the analysis of determinants and agricultural, demographic variables and infrastructure facilities are taken into consideration. The authors conclude that the analysis on the trends and determinants of RNFE clearly show that agricultural and demographic changes have a significant bearing on the level and the composition of RNFE in the study area.

Agriculture still continues to be the major source of employment in the developing countries like India. More than five decades of industrial growth could not relieve the burden of agriculture in absorbing labor force. Of late, much hope was bestowed on RNFE in solving the problem of rural unemployment and underemployment. There should be diversification of rural workforce with the initial push of agricultural development. The rural non-farm employment occupies an important place in the economy in providing potential employment to rural workforce. It has been recognized in all the developing economies as an important channel for the diversion of rural workforce. In India, its share varies from 15 to 25% in some states and even higher in some others. After recognizing the role of RNFE in employment generation, some studies have been conducted in India and abroad.

 
 
 

Determinants of Rural Non-farm Employment in Telangana Region of Andhra Pradesh: A Case Study, agricultural, employment, analysis, demographic, source, trends, disaggregated, economies, channel, industrial, multivariate, recognized, responsible, analyze, statistical, technique.