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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

How Does The Political System Influence The Economic Growth In Romania?

Madălina Mihaela Radu The Bucharest University of Economic Studies, Romania

Abstract:

The aim of this study is to analyze the direction and the extent of the influence that political factors induce on the economic growth in Romania. First we would correlate the political determinants with the economic variables used in our study and we would present the results. As a second step, we would investigate the effect of all our variables, including those chosen as political determinants, on the economic growth. In this paper we used both theoretical and empirical methodology, as we adopted previous scientific research as a theoretical basis and we realized our quantitative analysis using different econometric methods. Every government targets increase of its citizen’s welfare, hence by means of our study we could observe the impact that the political system from Romania has on its economic development.

Keywords: political factors, growth rate, government efficiency, political stability. JEL:

O10.

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

Introduction It is impossible to analyze the economy of a country taking into account only the market factors. Every economic system must be incorporated and harmonized with the continuous evolution of a country, a trend that reflects technological changes and innovation, but also political conflicts followed by adjustments in terms of how certain institutions

and

various

interests

are

represented

and

modified.

Therefore, it is important to include political factor in the economic process analysis (Boyer, 2011; Bresser-Pereira, 2012) and to analyze to what extent and in what direction the political regime of a state influences its economic performance. The prevailing opinion among experts is that democracy either has a negative effect on GDP growth or it has no effect (Gerring, Bond, Barndt, Moreno, 2005). Although in some studies democracy is seen as the equivalent of the right to vote (Cheung, 1998), Rivera-Batiz (2002) defined democracy as being present in countries that "maintain the executive power balanced and under control, are characterized by constitutional reform processes, media freedom and absence of censorship, clear and effective legal and judicial structures, transparency, openness and citizen involvement in decision making". More than half century ago, the dilemma was whether centralized economies or market economies are more efficient in terms of production of goods and services, capital investment, and increased productivity in the long term and, therefore, increased standard of living of the population. There is significant data showing that since the beginning of the Industrial Revolution, market economies have proved to be the ones contributing to increased levels of living standards in the long-term. Therefore, we should consider to what extent democracy and economic growth are components of a causal mechanism (Friedman, 2006). The debate on the impact that the type of political regime has on economic growth model is the focus of researchers for a long time. Przeworski

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

defines the "political regime" concept in the light of the circumstances under which political parties in several countries develop and implement similar

policies,

without

considering

their

ideological

orientation

(Przeworski, 2001). A consensus which has developed as a result of thorough studies according to which there is a direct relationship between the political system and economic growth. Democracies and autocracies proved to perform, on average, with the same efficiency, although democracies are less volatile (and Ulubasoglu Doucouliago 2006, Mulligan et al., 2004). In addition, in countries characterized by democracy it is more difficult to initiate drastic economic reforms (Chan, 2002, Dornbusch and Edwards, 1991 Kohli, 2004 and Leftwich, 2005). Thus, it was shown that when history is taken into account in terms of a country's political regime, the studies revealed a positive abd robust relationship between democratic stock and economic growth (Gerring et al, 2005 and Persson and Tabellini, 2006), but also between democracy and the development of various economic policies which proved to be crucial for a country‟s economic growth (Thacker, 2011). Given the above considerations, the aim of this article is the analysis of the economic growth in Romania in relation to the changes taking place in the political system during the period 1996-2013. In this paper we define a political system as a three major dimensions system: political freedom, political stability and government efficiency. In what follows, we use these dimensions as variables in the models we build in order to highlight the direction and the intensity of the relationship between them and the variables chosen to reflect the economic developments in Romania. They are considered the main components and the basis of a political foundation that will allow the further construction of a healthy and sustainable economic system. By analyzing the prior scientific literature, we found that the role played by democracy/political freedom within the economic growth is the most controversial, since democracy is

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

perceived both as a determinant of happiness and prosperity, and claimed of obstructing capital formation and long-term economic growth.

METHODOLOGY The research methodology implemented within this study has been used many times over years by several researchers such as Scully (1988), Romer and Weil (1992), Helliwell (1994), Barro (1997).

The

common point for the mentioned authors is that they used crosscountries data and observed the same variables across countries for long periods of time. Barro (1997) showed that when such analyses are carried out for short periods of time it is very likely to encounter disadvantages

such

as

„precise

timing

between

growth

and

its

determinants is not well specified at the high characteristic frequencies of „business cycle‟ For example, relationships at the annual frequency would likely be dominated by mistiming and, hence, effectively by measurement error”. Another disadvantage is that the values associated with political variables such as political rights or institutionalized democracy can be wrong measured over time. Despite the potential drawbacks mentioned above, if used correctly, the time series analyses offer the advantage of revealing the dynamic changes that occur within a country as a result of political and economic development interaction. Such analyses were carried out by Burkhart and Lewis-Beck (1994), Gasiorowski (1995) and Przeworki et al. (2000). The panel-data approach is also consistent with the objective of our research as we aim to highlight the relationship between economic development and political determinants over a short period of time (1990-2010). Over time, economic variables like investment, human capital, international trade

and inflation were considered determinants of

economic growth. In their study, Levine and Renelt (1992) demonstrated that international trade and investment have a major influence on long-

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

term economic growth. Mankiw, Romer and Weil (1992) obtained similar conclusions on the influence that the initial level of growth, savings and human capital exert on the economic growth. The objective of this paper is to observe the trend of economic growth over a period of 18 years (1996-2013) accordingly to the political determinants

evolution in Romania. The empirical research had as

starting point the quantitative model used by Feng (2003) and we performed it by following variables: the level of economic development: the growth rate of GDP per capita (GDPGR); the level of human capital school enrolment rate (SPR); the share of investment in GDP (INV); inflation (INF); inflation variation (SDINF); birth rate (BR); economic freedom (EF); political freedom (PF); government efficiency (GE). The data used in our analysis were collected from the following sources: INS, World Data Bank, Freedom House, Worldwide Governance Indicators Country Data Report for Romania.

RESULTS It is expected that our results will match the following assumptions: economic growth increases as the level of political freedom/democracy increases; economic growth decreases as political instability increases; economic growth is amplified as government efficiency increases. Given the complex causal relationship between the variables used in the model was considered necessary to first run a correlation of these variables. By analyzing the data presented in Table. 1 we can notice that during the years for which the regression was run, the economic growth is strongly related to the level of economic freedom. Given the political and economic context of this specific period we might conclude that the figures confirm what we could intuit about Romania‟s economic growth for the years chosen in our research. Another remarkable influence is inclined by the level of the investment, results that also coincide with the

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

directions given by the scientific literature. The studies that have examined the relationship between investment and capital formation in developing

countries

have

demonstrated

a

strong

and

positive

relationship between the two variables (Robinson, 1971, Tyler 1981 Levy 1988 Barro 1991). Moreover, it can be seen that there is a strong positive correlation between investment and economic freedom.

The economic growth is positively correlated with the level of education, but negatively correlated with the birth rates. Similarly, the growth rate of GDP per capita (level of economic development) is positively correlated with level of education, investment and political freedom, but negatively correlated with the other variables. As we might expect, between economic growth and inflation was proved to be a strong, negative relationship. From our results we can see that political stability had a positive influence on economic growth in the analyzed period, while it was negatively influenced by the political freedom.

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

Next there were built several models of economic growth. They will be shown in Table 2 as follows: column (1) shows the results of the economic growth model; column (2) gives a political model of growth; columns (3) to (5) highlight political economic models obtained by varying the economic variables and the political determinants; column (6) shows the growth model results obtained by using the whole set of variables analyzed in our paper.

From the results shown in the table above we can observe that political freedom/democracy tends to have a positive effect on economic growth, but the level of significance varies depending on the other economic and political variables introduced in the model. The apparently weak relationship between democracy and economic growth warns that when it is analyzed, the analysis must be done very carefully. From the literature we find that, statistically, there are 3 choices in outlining the political freedom‟s effect on growth (to what extent is significant, positive

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

or negative). First, most developed economies are characterized by a high level of democracy. Secondly, in the case of advanced countries growth trend appears to be slow when in the model are introduced variables such as the level of education. And, thirdly, democracy effect on economic growth, in any of the mentioned cases, varies depending on the other variables that are introduced in the model. Therefore, we cannot state with certainty that democracy does not affect economic development, regardless the level of development of the analyzed country. With reference to the other two political determinants, we can notice that the attached mathematical signs confirm the expected results also for the case of our country: government efficiency influences in a positively way the economic growth, while political instability has adversely affected the economic growth in Romania for the analyzed period.

Acknowledgement „This work was co-financed from the European Social Fund through Sectorial Operational Program Human Resources Development 20072013,

project

scientific,

POSDRU

number

interdisciplinary,

159/1.5/S/138907

doctoral

and

“Excellence

postdoctoral

research

in in

economic, social and medical fields – EXCELIS”, coordinator Bucharest University of Economic Studies.

Conclusions Every government targets increase of its citizen‟s welfare, hence by means of our study we could observe the impact that the political system from Romania has on its economic development.

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Oeconomics of Knowledge, Volume 7, Issue 3, 2015

Although on a short period of time, from the study conducted on the impact of political determinants on the level of economic growth we concluded that the results for Romania confirm and comply with the trend given by the scientific literature. The only difference is that, the highlighted growth models (excepting the one where were used only political variables) reveal that economic freedom influenced weakly, but in a negative direction the economic development in Romania over the analyzed period of time. .

References [1]

Barro, Robert J., 1991 – “Economic Growth in a Cross-Section of Countries”, Quarterly Journal of Economics 106;

[2]

Barro, Robert J., 1996 – “Democracy and Growth”, Journal of Economic Growth 1;

[3]

Barro, Robert J., 1997 – “Determinants of Economic Growth: A Cross-Country Empirical Study”, Cambridge, MIT Press;

[4]

Burkhart, Ross E., and Michael S. Lewis-Beck, 1994 – “Comparative Democracy: The Economic Development Thesis”, American Political Science Review 88;

[5]

Feng, Yi 2003 – Democracy, Governance, and Economic Performance – theory and evidence, The MIT Press, Cambridge, Massachusetts, London, England

[6]

Gasiorowski, M.J., 1995 – “Economic Crisis and Political Regime Change: An Event History Analysis”, American Political Science Review 89;

[7]

Levine, R. and Renelt, D., 1992 – “A Sensitivity Analysis of Cross-Country Growth Regressions”, American Economic Review 83;

[8]

Levy, V., 1988 – “Aid and Growth in Sub-Saharan Africa: The Recent Experience”, European Economic Review 32.

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