Date of Submission
2-28-1975
Date of Award
2-28-1976
Institute Name (Publisher)
Indian Statistical Institute
Document Type
Doctoral Thesis
Degree Name
Doctor of Philosophy
Subject Name
Computer Science
Department
Economic Research Unit (ERU-Kolkata)
Supervisor
Bose, Deb Kumar (ERU-Kolkata; ISI)
Abstract (Summary of the Work)
Alarmingly high and increasing rates of unemployment among the fast growing labour force has, in the recent years, becmne a serious threat to the social, political and economic envirorment in developing countries like India. Despite planned efforts at economic development, the percentage of unemployed in the labour force is estimated to have increased fron 9.0 per cent in 1962 to 1o.4 per cent in 1971 and 11.0 per cent in 1972 Dutt and Sundharam (1975) 7. Eradication of unemployme nt through creation of large-scale job opportuni ti es has come to establish itself as a major objective of the country. In the first place, there is the constitutional obligat ion to provide all Indians with job opportunities. Secondly, growing unemployment creates political and social tonsions that hinder the establishment of an onviroment conducive to the success of efforts at economic development. Thirdly, it has been realized from the experience of the successive Indian Five Year Plans that the modern technology in industries offer little scope for accommo- dating the increase in the countrys l abour force.Additional employment created by the organized industries over the successive Plans actually declined. It is now being appreciated that it will be a long time before the industrial sector in the country would be able to absorb the unemployed labour force. For sometime to come, t herefore, me ans have to be found to cont ain substantial volume of the unemploynent in the agricultural sectord in industries and aotivities which can be l abour intensive' Bose (1975)7 In other words, it is currently being t hought that t he sel ection of invest- ment projects should take account of the objective of providing employment to the growing l abour force.One of the primary aims of the present atudy is to exemine how far the currently avail able procedures of Social Cost Benefit Anal ysis as appliod to the problem of choice of investment projects, take account of the society's ob jective of employment generation. In Chapter I, the es sential c haracteris- tics of the social cast benefit approach to the problem of investment project choice in diff er ent economic systeme are discussed and compared. In Chapter I: an attempt has been made to examine the interrelationships (1) among different macro-objectives, (ii) between macro-ob jectives and conc epts of social costs and social benefits, (iii) among macro-objectives, resources constraints and valuation of costs and benefits, (iv) between macro-objectives and aggrega- tion of costs and benefits distributed over time, and (v) between macro- objectives and the micro-level project choice criteria. The discussions in these first t wo Chapters r eveal that employment generation has sel dom, if ever, been treat ed as a desparate objective of the society. It is assumed that the objeotives of aggregate consumption, output growth and income rodistribution sub sume the objective of employment and that there does not exist any oonflict between the objectives of output growth and employment growth. Accordingly, most of the micro-level project choice criteria sugges- ted ih the l1iterature are consistent with the maoro-objectives of output growth, aggregate aonsumption and distribution.
Control Number
ISILib-TH39
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
http://dspace.isical.ac.in:8080/jspui/handle/10263/2146
Recommended Citation
Sen, Basudeb Dr., "Employment and Output Objectives in Project Selection." (1976). Doctoral Theses. 212.
https://digitalcommons.isical.ac.in/doctoral-theses/212
Comments
ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28842989