2010
DOI: 10.1016/j.jce.2009.09.002
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Judicial quality, contract intensity and trade: Firm-level evidence from developing and transition countries

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Cited by 57 publications
(32 citation statements)
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“…and Ma et al (2010) also supports the idea that hold-up costs from a weak judiciary may distort the comparative advantage of some industries through an influence on their input structure, though outcomes are measured in terms of exporting rather than increasing firm size. Such findings may suggest that improving legal institutions allows firms to better specialize by reducing transactions costs (see Williamson, 2005).…”
supporting
confidence: 57%
“…and Ma et al (2010) also supports the idea that hold-up costs from a weak judiciary may distort the comparative advantage of some industries through an influence on their input structure, though outcomes are measured in terms of exporting rather than increasing firm size. Such findings may suggest that improving legal institutions allows firms to better specialize by reducing transactions costs (see Williamson, 2005).…”
supporting
confidence: 57%
“…Similar to the works of Borrmann et al (2006), Dollar and Kraay (2003), Levchenko (2007Levchenko ( , 2011, Ma et al (2010), and Doyle and Martinez-Zarzoso (2011), this article utilizes the World Bank's Worldwide Governance Indicators (WGI) to capture six broad categories of institutional quality: (1) Voice and Accountability, (2) Political Stability and the Absence of Violence and Terrorism, (3) Government Effectiveness, (4) Regulatory Quality, (5) Rule of Law and (6) Control of Corruption. Each WGI index ranges from -2.5 (weak governance) to 2.5 (strong governance), as reflected by the global perceptions of government and nongovernment agencies and private businesses.…”
Section: Estimation Methodsmentioning
confidence: 99%
“…Another approach is to use the firms' assessment of institutional quality(Ma et al, 2010). However we do not observe management practices and assessment of corruption for the same firms.3 We have also extracted the first principal component of the eight household answers using the whole dataset with all individual responses(Tabellini, 2010), and computed their regional average.…”
mentioning
confidence: 99%