Disability and Work: A Two-Stage Empirical Analysis of Italian Evidence at Provincial Level in Providing Employment for Disabled Workers

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• 作者：M. Agovino ; A. Rapposelli
• 关键词：Disabled people ; Public policy ; Non ; labour market discrimination ; Technical efficiency ; Data envelopment analysis (DEA) ; Truncated and censored models
• 刊名：Social Indicators Research
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：125
• 期：2
• 页码：635-648
• 全文大小：682 KB
• 参考文献：Agovino, M., & Rapposelli, A. (2013a). Employment of disabled people in the private sector: An analysis at the level of Italian Provinces according to article 13 of law 68/99. Quality & Quantity,. doi:10.​1007/​s11135-013-9851-3 .
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• 作者单位：M. Agovino (1)
  A. Rapposelli (2)
  
  1. Department of Business and Economic Studies, “Parthenope” University of Naples, Naples, Italy
  2. Department of Economics, “G.d’Annunzio” University of Chieti-Pescara, Pescara, Italy
  
• 刊物类别：Humanities, Social Sciences and Law
• 刊物主题：Social Sciences
  Sociology
  Quality of Life Research
  Microeconomics
  Public Health
  Human Geography
  
• 出版者：Springer Netherlands
• ISSN：1573-0921

文摘

Law 68 of March 12, 1999, whose aim is the regulation and promotion of the employment of persons with disabilities, has contributed significantly to their employment of disabled people, and consequently to their social inclusion, by transferring the responsibility for its implementation to the local authorities. The main objective of this study is to evaluate the performance of Italian provinces in providing employment of disabled people according to law 68/99 and to examine which are the factors that could lead to an improvement of efficiency of the provinces that are not classified among the most efficient ones in the application of article 13 of this law. To this purpose, we propose a two-step analysis. First, we apply data envelopment analysis (DEA) technique in order to evaluate provinces’ performance with respect to the number of disabled people employed. Then, we apply models for censored data (Tobit model) to the efficiency scores obtained from DEA analysis. The results show that the sheer presence of potential employers and of employment offices is not enough to make a province able to correctly apply the law 68/1999. A second group of variables, i.e. socio-welfare factors, has to be considered, as the environmental context where each Province operates could influence the efficiency of each province in providing employment for disabled people. Hence, socio-welfare variables ought to be included as policy instruments in order to promote the integration of disabled people in the labour market.