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This study examined symmetric and asymmetric causal relationships among financial systems, regulatory quality, and economic performance in selected African countries. The patterns of causality and impulse responses were found to vary across the selected countries, and the following were confirmed: symmetric demand-following, symmetric supply-leading, symmetric feedback, and neutrality hypotheses. Also confirmed were negative and positive demand-following hypotheses, negative and positive supply-leading hypotheses, and negative and positive feedback hypotheses. Overall, our recommendation is that in cases where supply-leading hypothesis is confirmed, policy target should be financial development so as to either stimulate economic growth or prevent economic decline, whereas in cases where demand-following hypothesis is confirmed, emphasis should be placed on growth-enhancing policies in order to either achieve financial development or prevent crisis in the financial system. We also argue that the quality of regulation plays an important role in the finance-growth nexus as it has a mediating effect on both the real and financial sectors. We further argue that it is important to consider asymmetric dynamics when testing causality in finance-growth relationships. It is possible that the economy (financial system) would react differently to changes in financial system (economy), depending on whether the changes are positive or negative. [ABSTRACT FROM AUTHOR]

In this study, we look not only to provide empirical evidence to investigate the direct impact of financial crises on economic growth, but also to examine the roles of insurance development, financial liberalization, financial institution, and crisis intervention policies on the relationship between the two. We employ a panel data framework from 50 countries by applying the dynamic panel generalized method of moments model. Our main empirical results show that financial crises do have a significantly negative impact on economic growth. In addition, governments or authorities are encouraged to further enhance their insurance sector in order to help spur economic growth when financial crises arise. The government intervention policy choice is also an important factor influencing economic growth during crises. [ABSTRACT FROM AUTHOR]

Insurance and credit markets share some common roles in stimulating economic growth, whether they are complementary or not is worth researching further. Based on the generalized method of moments, this paper investigates the synergistic effects between insurance and credit markets on economic growth in Chinese different regions using an interaction term in the regression model. Moreover, to understand the different economic roles of life and nonlife insurance sectors, we include them into estimation model as well. The results indicate that total insurance and credit markets are substituted, life insurance and credit markets are substituted, and nonlife insurance and credit markets are complementary in the whole region. Specifically, the synergistic effects between insurance and credit markets on economic growth vary considerably across different regions. These findings offer several useful insights for policy-makers. [ABSTRACT FROM AUTHOR]

This study revisits the long run and dynamic causal linkages between defense spending and economic growth in 15 selected European countries for the period 1988–2010 by utilizing recent developments in non-stationary panel data analysis. To this end, the series properties of per capita defense spending, per capita real capita stocks, and per capita real GDP are investigated by the panel unit root tests with and without breaks that support evidence on unit root. The panel cointegration tests with and without breaks are also subsequently employed to investigate whether there exists a long-run equilibrium relationship between these three variables. Finally, our causality analysis from panel vector error-correction model suggests that there is a feedback relation between real capital stock and real GDP in both short and long run, a one-way Granger causality running from real GDP to defense spending in both short and long run, and defense spending only Granger causes real capital stock in the long run. [ABSTRACT FROM AUTHOR]

This paper investigates the stability of the steady-state growth process in East Asian region using a novel panel stationarity test, which allows us to control for (a) unobserved heterogeneity in form and date of potential structural breaks in a trend function, (b) the cross-sectional dependence among countries in the panel bootstrapping methods, and (c) the serially correlated errors. Evidence shows that a large majority of countries exhibit slowdowns in economic growth after their structural breaks and thus could not recover from negative shocks and return original balanced growth path. [ABSTRACT FROM AUTHOR]

Unlike most previous works which commonly define globalization as a strict economic characteristic, using the overall globalization index and its three sub-dimensions – economic, social and political integrations to proxy openness, this paper examines the effect of globalization on economic growth associated with autocratic institutional in China, using the a two-step dynamic panel generalized method of moments technique in a panel of 30 provinces, municipalities and the autonomous regions over the period of 1970–2006. We find that different globalization indices have different impacts on regional economic growth. Also, autocracy may harm regional development, but these conclusions are very sensitive to different globalization variables specifications. Further, considering the interactive effects between globalization and economic growth, we show that in the period of higher global integration, the higher democracy (lower autocracy) may harm economic growth in the case of China. We emphasize that democracy is clearly not a necessary condition for the purpose of economic growth in China. [ABSTRACT FROM PUBLISHER]

This study applies the bootstrap panel Granger causality test to test whether insurance activity promotes economic growth, using data from 10 OECD countries over the period of 1979–2006. Empirical results indicate that one-way Granger causality running from all insurance activities to economic growth for France, Japan, Netherlands, Switzerland, and the UK, and economic growth Granger causes insurance activities in Canada (for life insurance), Italy (for total and life insurance) and the USA (for total and non-life insurance). There is a two-way Granger causality between life insurance activity and economic growth in the USA, while no causality between insurance activities and economic growth is found in Belgium (for all insurance), Canada (for total and non-life insurance), Italy (for non-life insurance) and Sweden (for life insurance). Our results also confirm the finding of Ward and Zurbruegg [Does insurance promote economic growth? Evidence from OECD economies.Journal of Risk and Insurance67, no. 4: 489–506] showing that the insurance–growth nexus varies across countries, since their paper have previously demonstrated heterogeneity in this vein. In an analysis of a broader, though overlapping 17-country sample and taking into account banking activities, the results suggest the importance of including banking activities when investigating the insurance–growth relationship. [ABSTRACT FROM AUTHOR]

This study revisits the causal linkages between military spending and economic growth in China and G7 countries (i.e. Canada, France, Germany, Italy, Japan, the UK, and the USA) by focusing country-specific analysis for the period 1988–2010. The panel causality analysis, which accounts for both cross-country dependency and heterogeneity across countries, is employed in this study. Our results find evidence of the neutrality hypothesis for Italy, France, and Germany, the military spending–growth detriment hypothesis for both Canada and the UK, and one-way Granger causality running from economic growth to military spending for China. Furthermore, we find a feedback between military spending and economic growth in both Japan and the USA. Thus, our results do not support that one size fits all. [ABSTRACT FROM AUTHOR]

This article investigates the effect of life insurance on economic growth and what conditions affect the insurance-growth nexus. These conditions include the degree of financial development, private saving rates, interest rates, social security expenditures, income, young dependency ratio, life expectancy, and geographic regions. The main findings confirm the positive impact of the development of the life insurance market on economic growth. The insurance-growth nexus varies across countries with different conditions. For example, the positive impact on economic growth is mitigated in the middle-income countries, but amplified in the low-income countries. Moreover, both the development of stock market and the life insurance market are substitutes rather than complements. Based on our findings, this study offers useful insights for policy-makers and insurers. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

The purpose of this article is to measure the impact of military technology transfer on economic growth for 67 selected countries during the period 2000 to 2005 through the application of the Malmquist productivity index, which is broken down into efficiency change and technical change. Our main findings are as follows. First, technology diffusion is all-pervading in half of the sampled countries due to pure efficiency and scale efficiency changes. Second, a higher-income level and an excess of arms imports lead to innovative activities. Third, middle-income countries have higher efficiency and pure efficiency changes; these contribute to higher total productivity change. Finally, after separating the impact of capital investment from that of arms imports, the diffusion of military technology has a more positive and substantial impact on economic growth, thereby revealing the presence of externalities between countries. [ABSTRACT FROM AUTHOR]

Globalization is commonly defined as a strict economic path by most previous works, but it is really a fuzzy concept with unrestrained dimensions. While the ideological location of an incumbent political party is a powerful predictor of its policy position, the role of a political party in the globalization-growth nexus has never been fully empirically investigated. By applying Pedroni's panel cointegration technique instead of a time-series or traditional panel data approach, this paper aims to empirically re-examine the co-movement and the causal relationship among economic growth, the overall globalization index, and its three main dimensions—economic, social, as well as political integrations—by using panel data for 23 Organization for Economic Cooperation and Development (OECD) countries for 1970 to 2006. Certainly, the political party variable is taken into account as the advanced test is promoted, and we finally discover that all variables move together in the long run. Based on the results of the panel causality test, though the evidence of short-run causality is very weak, it does show long-run unidirectional causality running from the overall index of globalization, economic globalization, and social globalization to growth. Finally, the critical role of the political party is deeply discussed in relation with our results. [ABSTRACT FROM AUTHOR]

Abstract: This paper considers the possibility of both a linear effect and nonlinear effect of energy consumption on economic growth, using data for the period 1955–2003 in Taiwan. We find evidence of a level-dependent effect between the two variables. Allowing for a nonlinear effect of energy consumption growth sheds new light on the explanation of the characteristics of the energy-growth link. We also provide evidence that the relationship between energy consumption and economic growth in Taiwan is characterized by an inverse U-shape. Some previous studies support the view that energy consumption may promote economic growth. However, the conclusion drawn from the empirical findings suggests that such a relationship exists only where there is a low level of energy consumption in Taiwan. We show that a threshold regression provides a better empirical model than the standard linear model and that policy-makers should seek to capture economic structures associated with different stages of economic growth. It is also worth noting that the energy consumption threshold was reached in the case of Taiwan in the world energy crises periods of 1979 and 1982. [Copyright &y& Elsevier]

Using panel data unit root tests and panel cointegration tests, as well as estimation techniques appropriate for heterogeneous panels such as the full modified OLS, this paper re-examines the long-run co-movement and the causal relationship between GDP and social security expenditure in a bivariate model, employing data on 25 OECD countries from 1980 to 2001. Our cointegration test results show strong evidence in favour of the existence of a long-run equilibrium cointegrating relationship between GDP and social security expenditure after allowing for a heterogeneous country effect. Regarding the panel-based error correction model, we find that GDP and social security expenditure lack short-run causality, but reveal the existence of long-run bidirectional causality. This shows that, in the long run, economic growth must be based on a social welfare policy that should be carried out, and economic growth can facilitate contiguous development in a social welfare policy. Lastly, we also provide evidence to support that social security expenditure can affect growth through the savings and human capital accumulation in OECD countries. [ABSTRACT FROM AUTHOR]

Abstract: The Armey curve developed by [Armey, R. (1995). The freedom revolution. Washington, DC: Rognery Publishing Co.] and [Vedder, R. K., & Gallaway, L. E. (1998). Government size and economic growth. Joint Economic Committee] demonstrates that there is a non-linear relationship between government size and economic growth. In order to search for the threshold effects, this paper employs [Hansen, B. E. (2000). Sample splitting and threshold estimation. Econometrica, 68(3), 575–603] threshold regression model to test whether the Armey curve exists in Taiwan, allowing for endogenous government size thresholds. We apply the two-sector production function developed by [Ram, R. (1986). Government size and economic growth: A new framework and some evidence from cross-section and time-series data. American Economic Review, 76(1), 191–203] to construct the threshold regression model. Three classifications of government size are tested in sequence as threshold variables. The result indicates that all three classifications of government size have a threshold effect and that a non-linear relationship of the Armey curve exists in Taiwan. [Copyright &y& Elsevier]

Since the Belt and Road Initiative (BRI) has increased the economic growth of many developing countries in Asia, more attention should be paid to carbon dioxide (CO2) emissions in these regions. Based on the Tapio decoupling model and Kaya-LMDI model, this paper investigates the spatiotemporal evolution of decoupling and driving factors of CO2 emissions of 57 BRI countries from 1991 to 2016. The results are as follows. First, the decoupling statuses of higher income countries are generally better than lower income countries. Second, Northeast Asia, South Asia, and West Asia accounted for 68.5%, 16.8%, and 13.3% of CO2 emission increases in BRI countries from 1991 to 2016. Third, almost all countries' CO2 emissions significantly rise due to economic growth, while energy intensity reduces CO2 emissions to some extent. Energy exports increase CO2 emissions to varying degrees in Asia countries, but their impact has gradually fallen. Except for Europe, the population size effect increases CO2 emissions, especially in West Asia. China, India, Russia, and five OPEC countries show similar characteristics with the above regions. • The Tapio decoupling model is applied to analyze the CO 2 decoupling of 57 Belt and Road Initiative countries. • Five driving forces of CO 2 emissions are identified via the Kaya-LMDI model. • Spatiotemporal characteristics of decoupling and driving forces are highlighted. [ABSTRACT FROM AUTHOR]