1,720,994 research outputs found
Losing Focus: A Comparative Evaluation of Spatially Targeted Economic Revitalization Programs in the US and the EU
No full textDo Local Tax Incentives Affect Economic Growth? What Mean Impacts Miss in the Analysis of Enterprise Zone Policies
No full textThe employment impact of business investment incentives in declining areas: an evaluation of the EU “Objective 2 Area” programs
No full textICER-International Center for Economic Research Working Paper
Do tax incentives affect local economic growth? What mean impacts miss in the analysis of enterprise zone policies
No full textWorking Paper "Lavoro: partecipazione, dinamica e val. di politiche". Dip. sc. stat. Unv. Padov
Do Business Investment Incentives Promote Employment in Declining Areas? Evidence from EU Objective 2 Regions
No full textIncentivizing Economic Development: An Empirical Examination of the Use of Grants and Loans
Full text linkDecomposing the impacts: Lessons from a multistate analysis of enterprise zone programs
Full text linkThis paper exploits the exogenous variation of the U.S. state enterprise zone policies to estimate the impact of geographically- targeted tax incentives on a number of dimensions of local economic growth. The econometric analysis uses plant-level data from 11 state programs to sort out growth outcomes into gross flows separately accounted for by new, existing, and vanishing establishments in the target areas. The paper extends the literature by moving beyond a dichotomous treatment indicator to incorporate the contribution of a number common zone policy features. Although the findings of no net mean impacts of the zone programs on various measure of growth is consistent with previous research, the disaggregation into various gross flows and examination of the heterogeneity of policy implementation shows that the impacts of the incentives are more complex. Such analysis also lends itself to a more useful set of policy recommendations.The U.S. Department of Housing and Urban Development’s Doctoral Dissertation Research Grant and The National Science Foundation Geography and Regional Science Program’s Doctoral Dissertation Research Improvement Grant
Counterfactual Impact Evaluation of Enterprise Support Policies: An Empirical Application to EU Co-Sponsored, National and Regional Programs
Full text linkWhile the importance of enterprise support policies in the EU continues to grow, there
remains only limited empirical evidence examining the effects of the policies on socially
relevant outcomes such as employment. This paper shows how to exploit firm-level data,
formed by merging longitudinal employment and firm demographic information with the
firm-level archives of the incentive payments, to offer robust counterfactual impact evaluation
evidence on the employment effects of the coexisting European Regional Development Fund
(ERDF) co-sponsored, national and regional programs commonly operated in many EU
regions. The analysis uses data from a large northern Italian region and yields employment
impacts of the policies under plausible identification assumptions, disentangling the impacts
of different values of both the economic intensities of the program assistance and different
forms of assistance (the latter distinguishing between capital grants and below-market
interest rate/revolving loans). The paper finds that the absolute per-firm employment effects
of the programs are increasingly larger the higher the economic value of the incentives
awarded to the assisted firms. The incentives with the highest per-firm economic value,
however, yield employment impacts with a much higher cost per each additional new job than
incentives with a lower economic value. The results of the analysis also show that the
absolute per-firm employment effects of soft loans are similar to those of capital grants.
However, taking into consideration that soft loans bear a much lower cost in terms of public
money devoted to the subsidies than capital grants, the impact estimates retrieved from
analysis indicates that soft loans possess an higher employment effectiveness than capital
grants
Natural Disasters and Relief Assistance: Empirical Evidence on the Resilience of U.S. Counties using Dynamic Propensity Score Matching
No full textThis paper utilizes a novel dynamic propensity score matching approach for multiple cohorts of U.S. counties between 1989 and 1999 to examine local economy resilience to rare natural disasters. Affected counties are sorted based on disaster intensity and are carefully matched to similar counties that did not experience a disaster. A difference-in-difference estimator compares trends of affected counties’ post-disaster business establishments, employment, and payroll to counterfactual trends in the matched counties. All affected counties experienced short-run drops in economic activity that was particularly noticeable in higher-intensity disasters. In the longer-run, less distressed counties returned to their estimated counterfactual trends, but counties with lower pre-disaster socioeconomic conditions still lagged in growth, particularly in cases of lower-intensity disasters. Policymakers can use this information to better prepare responses to future disaster
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