The impact of investment support on labour productivity in Lithuanian family farms: A propensity score matching approach

2019-04-02
The impact of investment support on labour productivity in Lithuanian family farms: A propensity score matching approach

Abstract

 

The aim of this paper is to assess the impact of investment support on labour productivity in Lithuanian family farms. This issue is of particular importance when appraising whether the investment support has had the anticipated effects. Propensity score matching is employed to quantify the average treatment effect on the treated farms. The research is based on panel data from the Farm Accountancy Data Network covering the period of 2007-2012. The results show that Lithuanian farmers’ participation in investment measures did not result in labour productivity gains. These results provide guidance for policy makers with regards to decisions on investment support measures beyond 2020.

 

JEL Classification:C21, Q12, Q18

 

Namiotko, V.; Galnaitytė, A.; Baležentis, T. & Wang, P. 2019. The impact of investment support on labour productivity in Lithuanian family farms: A propensity score matching approach. Economics and Sociology. Vol. 12, No 1, p. 342-352; ISSN 2071-789X, DOI:10.14254/2071-789X.2019/12-1/21; [EconLit (2010); EBSCOhost Online research databases (2011): Business Source Complete (2011), SocINDEX (2011); IndexCopernicus (2011), ICV 2014: 100; Ulrich's Periodicals Directory (2012); GESIS: Knowledge Base Social Sciences Eastern Europe (2012); SCOPUS (2012, back-cited from 2008); Cabell's Directory (2012); ProQuest (2012); SCIENCE INDEX (2013); Norwegian Social Science Data Services (NSD) (2013); BazEkon (2013); CAB Abstracts - ISI Thomson Reuters(2013); MS&HE (Poland), List "B", rating score 15 pts. (2015); ERIH PLUS (2014); WorldCat (2014); DOAJ (2015); BazHum (2015); Emerging Sources Citation Index (ESCI)- Thomson Reuters(2015); Web of Science - Thomson Reuters (2015); JUFO, Level 1 (2013); BFI list, Level 1 (2017); Academic Journal Guide, CABS (2018)].

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