Abstract
This article highlights an often overlooked element in the finance-growth nexus: the role of political regimes. We find political regimes to impact the size of security markets but not the degree of liquidity; there is no statistically significant difference in the volume of shares traded on stock markets between autocracies and the rest of the sample. We find strong support for Rodrik and Wacziarg’s (Am Econ Rev Papers Proc 95:50–55, 2005) finding that democratic transitions do lead to positive economic outcomes. Though the link between a young democracy on financial development is negative over the period 1990 to 1999, the relationship turns positive from 2000 to 2009, indicating that as democracies mature there is less uncertainty toward investment. This finding is contrary to the perception that a new democracy is likely to function like the typical autocrat. In essence, the effect of democracy on financial development is J-shaped. The data also reveal that military leadership has a negative effect on financial development.
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Notes
See King and Levine (1993), Levine et al. (2000), Levine and Zervos (1996, 1998), Atje and Jovanovic (1993), among others. Levine (2005) provides a comprehensive literature review on the finance-growth nexus. Though a few articles report stock markets to retard economic growth (see for example Devereux and Smith 1994), the evidence is overwhelmingly in favor of stock markets promoting growth.
Their argument however is based on the premise that political incumbents will naturally favor investor protection and thus rule out rent-seeking behaviors.
Whether it is the size of the market that drives the liquidity or the (initial) level of liquidity is what drives the size is outside the scope of this study.
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Appendix: Data description and sources
Appendix: Data description and sources
A.1 POLITY
This is a measure of political rights prevailing in a country. It runs from 0 to 10 with higher values indicating a more democratic country. Source: POLITY IV Database.
A.2 STKMKTCAP
This is the stock price times the number of shares outstanding of domestic firms as a percentage of GDP. Source: World Bank (2011).
A.3 STKMKTVAL
This is the natural logarithm of stock market value where stock market value is defined as the value of trades of domestic shares relative to GDP. Source: (World Bank 2011).
A.4 STKMKTNVR
This is the value of trades of domestic shares to the total value of listed domestic shares. Source: (World Bank 2011).
A.5 GDPPPP
Thisis the natural logarithm of GDP at purchasing power parity in constant 2005 U.S. dollars. Source: (World Bank 2011).
A.6 TRADE
This is Trade openness which is the sum of exports and imports as a percentage of GDP—it captures a country’s degree of openness. Source: (World Bank 2011).
A.7 POP
This is the country’s population; this includes all residents regardless of citizenship or legal status but excludes refugees and asylum seekers. Source: (World Bank 2011).
A.8 POPGR
Pop growth is annual population growth rate from the middle of year t−1 to year t, expressed as a percentage; the growth rate is assumed to follow an exponential function. Source: (World Bank 2011).
A.9 GNIPC
GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant 2000 U.S. dollars. Source: (World Bank 2011).
A.10 ELF
ELF is a variable running from 0 to 1 that represents a country’s level of ethno linguistic fractionalization i.e. the probability that two randomly chosen persons are in different ethnic groups i.e. 0 is a homogeneous ethnic nation and 1 is a heterogeneous ethnic nation. Source: La Porta et al. (1999).
A.11 MILITARY
MILITARY is a dummy variable that equals 1 if the Chief Executive is described as a military officer with no indication of an official retirement at the time they assumed office; the leader is listed as a military officer for the entire time in office. If the Chief Executive has no military rank in their title or was officially retired at the time of assuming office the variable is coded as 0. Source: Database of Political Institutions: Beck et al. (2001).
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Francis, B.B., Ofori, E. Political regimes and stock market development. Eurasian Econ Rev 5, 111–137 (2015). https://doi.org/10.1007/s40822-015-0018-5
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DOI: https://doi.org/10.1007/s40822-015-0018-5