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作者

来源

INTERNATIONAL REGIONAL SCIENCE REVIEW,Vol.41,Issue6,P.601-629

语言

英文

关键字

quasi-experimental methods; matching algorithms; regional economic development; ECONOMIC-DEVELOPMENT; PROPENSITY SCORE; LAGGING REGIONS; GROWTH; POLICY

作者单位

[Sayago-Gomez, Juan-Tomas] Univ Icesi, Dept Econ, Cali, Colombia. [Piras, Gianfranco] Catholic Univ Amer, Sch Business & Econ, Washington, DC 20064 USA. [Jackson, Randall] West Virginia Univ, Dept Geol & Geog, Reg Res Inst, Morgantown, WV 26506 USA. [Lacombe, Donald] West Virginia Univ, Reg Res Inst, Morgantown, WV 26506 USA. Piras, G (reprint author), Catholic Univ Amer, Sch Business & Econ, Washington, DC 20064 USA. E-Mail: gpiras@mac.com

摘要

We evaluate the impact of a half century of nontransportation Appalachian Regional Commission (ARC) investments on its constituent counties using quasi-experimental methods. We apply a set of propensity score methods and select the most appropriate matching algorithm for use in identifying the effects of policy implementation. The results of the analyses indicate that counties that received ARC funding grew faster than the control counties. The long-run per capita income growth rate in ARC investment counties was an average of 5.5 percent higher than in the control counties. Employment also grew significantly faster in these ARC counties than in the control counties for most of the study period. The average difference in the long-run employment growth rates between the counties that received ARC investments and those counties that did not was approximately 4.2 percent.