Destefanis, Sergio and Storti, Giuseppe (2005): Evaluating Business Incentives Through DEA. An Analysis on Capitalia Firm Data. Published in: DISES Working Papers No. 3.173 (14 November 2005): pp. 1-29.
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Abstract
We analyse the impact of business incentives on the technical efficiency of Italian manufacturing firms. Using DEA allows a novel treatment of the omitted-variable and sample-selection bias. Through DEA one carries out direct comparisons between similar observations akin to those carried out in non-parametric matching analysis. The selection bias can be treated by conditioning these comparisons on the variables ruling the distribution of state aid. We separately utilise four Capitalia surveys, in order to test whether policy effectiveness has changed during the 1990s. Moreover we consider separately the effects of the three main kinds of state aid to manufacturing (soft loans, grants, and tax rebates). The results indicate that state aid had a negative impact on technical efficiency. However, this impact mostly relates to soft loans, and looses significance in the late 1990s.
Item Type: | MPRA Paper |
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Original Title: | Evaluating Business Incentives Through DEA. An Analysis on Capitalia Firm Data |
Language: | English |
Keywords: | Local development policies, Policy evaluation, Technical efficiency, Frontier analysis. |
Subjects: | G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H25 - Business Taxes and Subsidies O - Economic Development, Innovation, Technological Change, and Growth > O2 - Development Planning and Policy > O20 - General O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O40 - General |
Item ID: | 62336 |
Depositing User: | Prof. Sergio Destefanis |
Date Deposited: | 24 Feb 2015 14:39 |
Last Modified: | 29 Sep 2019 05:55 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/62336 |