2016
DOI: 10.1016/j.econlet.2016.06.019
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Financial development and productive inefficiency: A robust conditional directional distance function approach

Abstract: This paper examines whether the level of financial development helps lower countries' inefficiency using time-dependent robust conditional directional distance functions in a sample of 91 countries over 1970-2011. The overall results reveal that the effect of financial development on countries' productive inefficiency is highly nonlinear, and depends on countries' income levels, suggesting that higher levels of financial development are enhancing more countries' catching-up ability rather than their technologi… Show more

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Cited by 20 publications
(8 citation statements)
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“…This is because in the countries with poor financial development, loans are mainly through real estate mortgages, which contributes to the decrease in financial market imperfections. This finding is consistent with the previous views of Shen (2013), Beck, Georgiadis, and Straub (2014), Mallick, Matousek, and Tzeremes (2016). In addition, some views argue that there is a positive impact of banking system development (which is measured through the ratio of the domestic credit to the private sector to GDP) on the REM, for example, in the studies by Bunda and Zorzi (2010) Hott (2011), Huang, Leung, andQu (2015), Shen, Lee, Wu, and Guo (2016).…”
Section: Literature Reviewsupporting
confidence: 89%
“…This is because in the countries with poor financial development, loans are mainly through real estate mortgages, which contributes to the decrease in financial market imperfections. This finding is consistent with the previous views of Shen (2013), Beck, Georgiadis, and Straub (2014), Mallick, Matousek, and Tzeremes (2016). In addition, some views argue that there is a positive impact of banking system development (which is measured through the ratio of the domestic credit to the private sector to GDP) on the REM, for example, in the studies by Bunda and Zorzi (2010) Hott (2011), Huang, Leung, andQu (2015), Shen, Lee, Wu, and Guo (2016).…”
Section: Literature Reviewsupporting
confidence: 89%
“…Starting with Färe et al (1994), efficiency frontier econometric studies on macroeconomic data using nonparametric approaches (like FDH or DEA) are not new (see, for example, (Henderson and Russell, 2005, Henderson and Zelenyuk, 2007, Kumar and Russell, 2002, Mallick et al, 2016). The purpose of this paper is to provide fully nonparametric estimators of production frontiers and timevariant technical efficiency in a dynamic framework which allows spatial dependence and both observed and latent factors to affect technical efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, we assume that time influences banks' inefficiency levels along with the shape and the level of the boundary of the attainable set. These measures enable us to incorporate dynamic effects on the estimated efficiency measures, grasping all the performance changes that are based on different time periods (Mallick et al 2016;Mastromarco and Simar 2018;Tzeremes 2015Tzeremes , 2019. The applied efficiency estimators are most suited in our case since they enable us to identify the indirect effect of the reforms made over different time periods.…”
Section: Introductionmentioning
confidence: 99%