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This paper contributes to mitigating the debate on whether carbon taxes have positive or negative effects on climate change by presenting an investigation on the relationship between carbon taxes and renewable energy consumption. Taking advantage of the panel CS-ARDL model, we distinctly inspect the dynamics of the CO2 tax–renewable energy consumption nexus in both short and long runs, based on a dataset of 39 economies covering 1991–2019. Our findings suggest that in the short run, a CO2 tax initially impedes renewable energy consumption but promotes it in the long run, with more significant effects observed in advanced economies. Additionally, the marginal effect of a CO2 tax on renewable energy consumption is not influenced by its initial level or change direction. In accordance with our findings, we provide several implications for decision-makers.

Abstract Rapidly increasing cryptocurrency prices have encouraged cryptocurrency miners to participate in cryptocurrency production, increasing network hashrates and electricity consumption. Growth in network hashrates has further crowded out small cryptocurrency investors owing to the heightened costs of mining hardware and electricity. These changes prompt cryptocurrency miners to become new investors, leading to cryptocurrency price increases. The potential bidirectional relationship between cryptocurrency price and electricity consumption remains unidentified. Hence, this research thus utilizes July 31 2015–July 12 2019 data from 13 cryptocurrencies to investigate the short- and long-run causal effects between cryptocurrency transaction and electricity consumption. Particularly, we consider structural breaks induced by external shocks through stationary analysis and comovement relationships. Over the examined time period, we found that the series of cryptocurrency transaction and electricity consumption gradually returns to mean convergence after undergoing daily shocks, with prices trending together with hashrates. Transaction fluctuations exert both a temporary effect and permanent influence on electricity consumption. Therefore, owing to the computational power deployed to wherever high profit is found, transactions are vital determinants of electricity consumption.

It is crucial for the advancement of political economics and innovation economics to examine the relationship between income inequality and green innovation (GI). Using the panel fixed effect model, this study investigates the influence of income inequality on GI across 97 countries from 1991 to 2018 and demonstrates a significant non-linear association between the two. The empirical data exhibit an inverted U-shape relationship, suggesting that there is an optimal degree of income inequality that optimizes GI output, and the inflection point of our overall sample is at a Gini coefficient of 0.366. Additionally, we choose a set of robustness tests to validate the results by substituting explained variables, adding omitted variables, and employing the difference and system generalized method of moments (GMM) estimations. Moreover, heterogeneity analysis reveals that the non-linear patterns vary among samples, with the U-shape relationship being more significant in countries with lower income, higher corruption, and weaker government effectiveness. Our findings provide government decision-makers with a crucial reference for maximizing the importance of income distribution in fostering GI and achieving sustainable development. First published online 24 August 2023

Epidemics and their resulting pandemics have become essential factors influencing economic development, financial stability, poverty, and ultimately a country’s innovation level, including green technology innovation. This research thus investigates epidemic events’ correlation to green innovation by operating with skewed panel data involving 134 countries from 1971 to 2018 and provides compelling proof that Epidemics have a detrimental effect on green innovation, not only for the current year but also for the next six years. We also show that the quality of institutions and financial development levels weaken epidemics’ detrimental effects on green innovation. Overall, the findings would draw particular attention from policymakers. First published online 17 April 2023

Much attention has been paid to the complex risk transmission between carbon and energy markets along with the increasing global financial market integration. This research thus uses the DCC-MVGARCH model and spillover index method to investigate volatility linkages between the European carbon emissions and energy markets. The results make it clear that there are indeed volatility correlations and bidirectional spillover effects for the above two markets. In particular, the volatility correlations and the spillover index dramatically change when global economic turbulence and political events occur. Apart from the strongest volatility correlation between coal and carbon markets, the volatility spillover effect from the renewable energy market to the carbon market is gradually increasing. The role of the carbon market is also changing: the net information recipient becomes a transmitter from phase II to phase IV. Therefore, our findings provide investors with flexible portfolio strategies by making full use of dynamic volatility linkages between the two markets. This research also gives a decision-making basis for market regulators to improve the carbon market's risk management mechanism. It means that regulators should pay close attention to potential market risk sources. Further policy recommendations are put forward in the conclusion section.

This research investigates and robustly verifies the impact of expansionary monetary policy actions on green innovation, conducted on a panel covering 133 countries from 1960 to 2018. Overall, we find that such actions have a significantly positive effect on green innovation performance, no matter in the static or dynamic model. A lower degree of central bank independence and poorer property rights protection in developing countries may hinder monetary policies’ effect to be transmitted to green innovation activities smoothly. Moreover, stringent environmental regulation contributes to magnifying the expansionary monetary policy’s positive effect on green innovation, but such a positive moderating effect should be supported by good national governance quality (including better control over corruption, higher efficiency of governments and a complete law system). Accordingly, several policy suggestions are provided.

This research examines the impact of economic policy uncertainty (EPU) on green innovation by using the panel fixed effects model from 2000 to 2017 for the samples of 31 provinces in China. The general conclusion is that there exists a positive link from EPU to green innovation, and that the impact of EPU varies significantly among different provinces that have diverse levels of marketization and trade openness. Specifically, provinces with higher marketization and degrees of trade openness have witnessed stronger positive effects from EPU on green innovation, whereas the correlation is rather weak in regions with low levels of those two factors. Our findings serve as a research reference for how governments may boost green innovation in the face of increasing EPU. First published online 25 November 2022

Since China is facing a complicated international situation and sustainable development requirement at the same time, this paper examines the effects of external uncertainty, international sanctions, on green innovations by adopting the system generalized method of moments (GMM) estimation for 30 provinces (autonomous region and municipalities) from 1997 to 2019. We employ green inventions as the dependent variable and 5 indicators of sanctions (including unilateral, plurilateral, multilateral, economic, and intensity) as the main explanatory variables alternately. For further robustness tests, we use substitution variable green utility models, adopt sub-samples in different regions, change the empirical methodology, and add omitted variables. We also examine the mechanism effects of three possible channels. The conclusion is that plurilateral and economic sanctions both present significant negative impacts on green innovations, whereas China was not affected by unilateral or multilateral sanctions during the sample period. GDP, interpersonal globalization, and environment are proved to be the possible channels through which sanctions affect green innovations. Our research findings should assist Chinese-listed companies suffering from sanctions to make better responses on their way to green innovations. First published online 24 November 2022

This research analyzes the impact of government effectiveness on innovation by using unbalanced panel data from the World Bank on 166 countries spanning 1996 to 2018. We analyze the impact of government efficiency on innovation through various panel fixed-effects models, while incorporating control variables such as GDP, education, and industrial structure into the analysis framework. The empirical results conclude that, in our selected countries, government efficiency has a significantly positive impact on innovation output and more importantly verify the positive impact from the improvement of bureaucracy quality on innovation. The evidence again shows the positive impacts of government efficiency on innovation output by addressing endogenous and robustness checking via the series of methods. Furthermore, the heterogeneity and mechanism of this relationship would be explored. Therefore, the research results provide an alternative method for national governments to promote innovation output by improving government effectiveness.

Using daily data from January 1, 2020 to March 31, 2021, this research explores COVID-19 shocks on the stock market of 15 representative oil exploration and production enterprises from 7 countries. We measure the COVID-19 epidemic from two levels, government response stringency index and number of confirmed cases, and employ stock prices and stock market returns to reflect the stock market. Our research results confirm that both the government response stringency index and the number of confirmed cases have a significantly negative influence on stock prices. We further find that the negative reaction of the stock market to the government response stringency index is greater than that from confirmed cases. Finally, we conclude that the government response stringency index have a significantly positive effect on stock market returns of oil exploration and production enterprises. Similar findings arise from analyzing specific enterprises. Overall, our conclusions provide some useful information for the decision-making of oil exploration and production enterprises’ investors and policy makers.

Tylophorine-based compounds and natural cardiotonic steroids (cardenolides and bufadienolides) are two classes of transmissible gastroenteritis coronavirus inhibitors, targeting viral RNA and host cell factors, respectively. We tested both types of compounds against two types of coronaviruses, to compare and contrast their antiviral properties, and with view to their further therapeutic development. Examples of both types of compounds potently inhibited the replication of both feline infectious peritonitis virus and human coronavirus OC43 with EC50 values of up to 8 and 16 nM, respectively. Strikingly, the tylophorine-based compounds tested inhibited viral yields of HCoV-OC43 to a much greater extent (7–8 log magnitudes of p.f.u./ml) than the cardiotonic steroids (about 2–3 log magnitudes of p.f.u./ml), as determined by end point assays. Based on these results, three tylophorine-based compounds were further examined for their anti-viral activities on two other human coronaviruses, HCoV-229E and SARS-CoV-2. These three tylophorine-based compounds inhibited HCoV-229E with EC50 values of up to 6.5 nM, inhibited viral yields of HCoV-229E by 6–7 log magnitudes of p.f.u./ml, and were also found to inhibit SARS-CoV-2 with EC50 values of up to 2.5–14 nM. In conclusion, tylophorine-based compounds are potent, broad-spectrum inhibitors of coronaviruses including SARS-CoV-2, and could be used for the treatment of COVID-19.

Research background: Cross-national sanctions are external factors with high uncertainty. The current situation of green innovation is not optimistic and the future of the uncertain development is worth exploring. Purpose of the article: This study intends to investigate how cross-national sanctions affect green innovations by examining data from 130 countries from 1990 to 2020. We use six different forms of sanctions (including those from the U.S., EU, UN, as well as unilateral, plurilateral, and economic sanctions) as the primary explanatory variables, with environmental management innovations serving as a proxy for green innovations. Methods: Difference-in-Difference (DID) technique; Logit model. Findings & value added: The number of environmental management inventions produced by a nation's inventors is negatively affected by plurilateral and economic sanctions, as well as by the US and the EU sanctions, while other types of sanctions have weaker effects. In terms of sub-indicators, plurilateral and the US sanctions have a serious negative impact on air pollution control and water pollution control inventions, while plurilateral, The EU and economic sanctions have a negative impact on waste management innovations. However, unilateral and the UN sanctions have no apparent effect on any type of environmental technology. Further logit model tests show that the US and economic sanctions lead to a decrease in green innovations. Moreover, the difference between Asian and African countries is that the negative effects of plurilateral, the U.S., the EU, and economic sanctions are more obvious in African countries, while cross-national sanctions have no significant impact on Asian countries. The results of our study should help countries under sanctions to respond more effectively to environmental progress. [ABSTRACT FROM AUTHOR]

It is crucial for the advancement of political economics and innovation economics to examine the relationship between income inequality and green innovation (GI). Using the panel fixed effect model, this study investigates the influence of income inequality on GI across 97 countries from 1991 to 2018 and demonstrates a significant non-linear association between the two. The empirical data exhibit an inverted U-shape relationship, suggesting that there is an optimal degree of income inequality that optimizes GI output, and the inflection point of our overall sample is at a Gini coefficient of 0.366. Additionally, we choose a set of robustness tests to validate the results by substituting explained variables, adding omitted variables, and employing the difference and system generalized method of moments (GMM) estimations. Moreover, heterogeneity analysis reveals that the non-linear patterns vary among samples, with the U-shape relationship being more significant in countries with lower income, higher corruption, and weaker government effectiveness. Our findings provide government decision-makers with a crucial reference for maximizing the importance of income distribution in fostering GI and achieving sustainable development. [ABSTRACT FROM AUTHOR]

Epidemics and their resulting pandemics have become essential factors influencing economic development, financial stability, poverty, and ultimately a country's innovation level, including green technology innovation. This research thus investigates epidemic events' correlation to green innovation by operating with skewed panel data involving 134 countries from 1971 to 2018 and provides compelling proof that Epidemics have a detrimental effect on green innovation, not only for the current year but also for the next six years. We also show that the quality of institutions and financial development levels weaken epidemics' detrimental effects on green innovation. Overall, the findings would draw particular attention from policymakers. [ABSTRACT FROM AUTHOR]

Research background: The twin pressures of economic downturn and climate change faced by countries around the world have become more pronounced over the past decade. A renewable energy transition is believed to play a central role in mitigating the economic-climate paradox. While the architectural and computational power of artificial intelligence is particularly well suited to address the challenges of massive data processing and demand forecasting during a renewable energy transition, there is very scant empirical assessment that takes a social science perspective and explores the effects of AI development on the energy transition. Purpose of the article: This paper aims to answer two key questions: One is, how does AI software development promote or inhibit the shift of energy consumption towards renewables? The other is, under what policy interventions does AI software development have a more positive effect on promoting renewable energy consumption? Methods: We employ a dataset of 62 economies covering the period 2011-2020 to analyze the impact of AI software development on the energy transition, where possible confounders, including political and economic characteristics and time-invariant elements, are controlled using fixed-effects estimation along with specified covariates. Findings & value added: AI software development can promote the energy transition towards renewables. There is suggestive evidence that the core mechanism linking such a positive relationship tends to lie in improving innovation performance in environmental monitoring rather than in green computing. Government support for R&D in renewable energy technologies is found to be significantly beneficial for harnessing the positive impact of AI software development on the energy transition. Compared to non-market-based environmental policies, market-based environmental policies have a more significant positive moderating effect on the relationship between AI software development and energy transition. [ABSTRACT FROM AUTHOR]

Research background: The sustainable development and innovation economics theory and related literature place a lot of emphasis on the relationship between environment, society, and governance (ESG) and green innovation. Purpose of the article: The purpose of this paper is to understand what the factors are that influence green innovation and why there is a big disparity in green innovation capabilities between nations. In addition, this paper aims to investigate the impact of ESG performance of green innovation by using unbalanced panel data covering 118 sample countries during the period of 1999-2019. Methods: Panel fixed effect model; Instrumental variable (IV) method; First-differencing (FD) method; Kinky least-squares (KLS) approach. Findings & value added: ESG performance provides evidence for its positive and significant impact on such innovation. Among the ESG factors, governance seems to have the most important influence on green innovation. Moreover, the positive influence of ESG performance is more evident in higher income and wealthy nations. Furthermore, we also conclude that ESG performance can affect green innovation through FDI, human capital, financial development and trade openness. These conclusions hold up after a number of robustness tests and taking into account any potential endogenous issues. Overall, policymakers should pay close attention to the findings. [ABSTRACT FROM AUTHOR]

Research background: As an outcome of a global consensus on combating climate change, green finance is expected to play an important role in promoting green growth and innovation progress. Some studies note that green credit policy yields a negative influence on green innovation, while how green finance affects renewable energy innovation has received scant attention in academia. This study focuses on the impact of green finance on renewable energy innovation. Purpose of the article: This research investigates the influence of green finance on an economy's renewable energy innovation by using green bond data from the Climate Bonds Initiative. This research further tests whether it varies for different kinds of energy types and economic development levels. Given that policies are key to renewable energy technology development, this research checks whether government stability changes the relationship between green finance and renewable energy innovation. Methods: Using the panel fixed effects model and big-scale data from 64 economies worldwide during the period 2014-2019, we investigate green finance's impact on renewable energy innovation. In the robustness test, the dynamic panel model and the panel Tobit model are employed. Findings & value added: This research finds that green finance has a positive effect on renewable energy innovation. This effect is prominent in non-OECD economies as well as middle-income and low-income economies. Government stability enhances the influence of green finance on renewable energy innovation. Moreover, the results indicate that green finance mainly promotes innovation progress for wind energy and produces little effect for other renewable energies. The subsample analysis also sheds light on the heterogeneity of the role of green finance in promoting renewable energy innovation. [ABSTRACT FROM AUTHOR]

Since China is facing a complicated international situation and sustainable development requirement at the same time, this paper examines the effects of external uncertainty, international sanctions, on green innovations by adopting the system generalized method of moments (GMM) estimation for 30 provinces (autonomous region and municipalities) from 1997 to 2019. We employ green inventions as the dependent variable and 5 indicators of sanctions (including unilateral, plurilateral, multilateral, economic, and intensity) as the main explanatory variables alternately. For further robustness tests, we use substitution variable green utility models, adopt sub-samples in different regions, change the empirical methodology, and add omitted variables. We also examine the mechanism effects of three possible channels. The conclusion is that plurilateral and economic sanctions both present significant negative impacts on green innovations, whereas China was not affected by unilateral or multilateral sanctions during the sample period. GDP, interpersonal globalization, and environment are proved to be the possible channels through which sanctions affect green innovations. Our research findings should assist Chinese-listed companies suffering from sanctions to make better responses on their way to green innovations. [ABSTRACT FROM AUTHOR]

This research examines the impact of economic policy uncertainty (EPU) on green innovation by using the panel fixed effects model from 2000 to 2017 for the samples of 31 provinces in China. The general conclusion is that there exists a positive link from EPU to green innovation, and that the impact of EPU varies significantly among different provinces that have diverse levels of marketization and trade openness. Specifically, provinces with higher marketization and degrees of trade openness have witnessed stronger positive effects from EPU on green innovation, whereas the correlation is rather weak in regions with low levels of those two factors. Our findings serve as a research reference for how governments may boost green innovation in the face of increasing EPU. [ABSTRACT FROM AUTHOR]

In this study, the panel co-integration test combined with structural breaks was used to explore the long-term co-movement between FDI and patent and trademark applications, in accordance with 33 OECD countries from 1999 to 2018. The robust results demonstrate that both innovation variables including patent and trademark co-move with FDI in the OECD sample. Furthermore, this long-term co-movement of FDI and innovation experiences some structural breaks during the period 2003-2010. Finally, there is a long-term co-movement between FDI inflows and innovation activity in OECD countries. [ABSTRACT FROM AUTHOR]

Copyright of Problems of Sustainable Development / Problemy Ekorozwoju is the property of Faculty of Environmental Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper investigates the influence of foreign direct investment on innovation by employing the panel cointegration method incorporating multiple structural breaks and a dynamic common correlated estimation for 34 countries over the period 1991-2016. Our findings indicate that the series of innovation and foreign direct investment are stationary after considering the potential structural breaks and that the external shock is mainly from country-specific shocks. Our results also suggest that a long-run co-integrated relationship exists with one break between foreign direct investment and innovation. Furthermore, the estimation based on the dynamic common correlated estimation shows that foreign direct investment has a long-run significant positive influence on technological innovation. Our findings shed light on the importance of accounting for structural breaks when discussing the relationship between foreign direct investment and technological innovation. [ABSTRACT FROM AUTHOR]

Copyright of Problems of Sustainable Development / Problemy Ekorozwoju is the property of Faculty of Environmental Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Employing annual data over the period 1996-2013 for 29 OECD countries, this paper explores the impact of corruption on domestic innovative activity, measured by the number of patent and trademark applications, via a linear panel fixed effect model and a nonlinear panel smooth transition regression with all lagged explanatory variables as instrumental variables and under the consideration of potential endogeneity biases. The results indicate several important findings. First, there exists a strong threshold effect between the control of corruption and levels of innovative activity across nations. Second, we note that corruption only has a substantial positive impact on innovation when it is over the threshold level, but not when a country has a seriously corrupt government with low bureaucratic quality, no matter for patent or trademark applications. Hence, heterogeneous beliefs about low transition speed show that OECD countries may not take actions instantly and identically to pursue better bureaucratic quality. Finally, we discover that an improvement over corruption presents greater impacts on patent applications than on trademark applications. Taken together, we confirm that corruption plays a fundamental role in determining innovation activities in OECD countries, offering meaningful policy implications for those policymakers and industries in accordance with our findings. [ABSTRACT FROM AUTHOR]

Copyright of Problems of Sustainable Development / Problemy Ekorozwoju is the property of Faculty of Environmental Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Problems of Sustainable Development / Problemy Ekorozwoju is the property of Faculty of Environmental Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Problems of Sustainable Development / Problemy Ekorozwoju is the property of Faculty of Environmental Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We investigate the corruption contagion phenomenon using both the spatial econometric model as well as the dynamic panel GMM approach, employing data on 109 countries from 2002 to 2013. The Moran index supports the spatial corruption autocorrelation among sample countries, while the Moran scatter clearly plots a positive relationship between national corruption and corruption of that country's neighbors. Our empirical evidence not only confirms contagious corruption through geographic boundaries in our sample countries, but that it also spreads out even for countries having similar levels of GDP per capita and democratic institutions. The policy implication is that controlling corruption is not just the responsibility of a specific country, but also a part of synergistic governance worldwide. We also note that similar degrees of income levels and political systems actually play an important role in corruption diffusion, but traditional works unfortunately ignore them. [ABSTRACT FROM AUTHOR]

Owing to recent climate change concerns, the interaction between energy and environmental governance has received greater attention. Therefore, this study investigates the causal relationship between energy efficiency and environmental performance for 129 countries, using the panel cointegration and panel-based error correction models for the period 2002-2012. Our results corroborate that there exists a long-term equilibrium cointegrating relationship between energy efficiency and environmental performance, and that the panel fully modified ordinary least squares estimations present a positive relationship between variables. In accordance with the panel vector error correction model estimation, evidence confirms a bi-directional causal relationship among variables for the long term in the given sample of 129 countries. In addition, the sub-samples' analyses present causalities running from energy efficiency to environmental performance in the long run, no matter for Organisation for Economic Co-operation and Development (OECD) or non-OECD countries, but a short-run relationship is seen only in OECD members. Evidence also shows an absence of causal direction from environmental performance to energy efficiency in both groups of countries. The policy implication is that an improvement in environmental quality should be based on promoting energy efficiency. However, given that energy efficiency still has not achieved improvement under strong environmental performance, this is a big challenge that cannot be avoided for both developing and developed countries. We also offer several constructive suggestions for how to promote energy efficiency. [ABSTRACT FROM AUTHOR]

This paper examines the effect of vote buying on the vote shares of multiple parties using maximum likelihood estimation of a Dirichlet distribution in a panel of 23 counties of Taiwan over the period of 1998-2008. We find that vote buying significantly influences the vote shares of multiple parties in Taiwan parliamentary elections. In particular, we find that vote buying reduces the likelihood of Chinese National Party (KMT) and Democratic Progressive Party (DPP) votes by 10% and 11%, respectively. Our results provide strong evidence that vote buying decreases the probability of electoral success. We conclude that vote buying does not ensure victory in Taiwan parliamentary elections, and, therefore, emphasize that vote buying is ineffective and counterproductive practice. We offer several possible explanations for why candidates use scarce resources for this illegal practice during election campaigns. These results are robust to group logit model with seemingly unrelated regressions. [ABSTRACT FROM AUTHOR]

This paper applies the panel LM unit root tests with heterogeneous structural breaks in level by Im et al. ( Oxford Bulletin of Economics and Statistics, 67 (2005), pp. 393–419) to re-examine the validity of hysteresis in the unemployment rates of 19 OECD countries. Our empirical findings are favourable to the stationarity of the unemployment rates, i.e., the unemployment hysteresis hypothesis is strongly rejected. Our results suggest that shocks to unemployment rates are temporary and soon converge when we control for breaks. A major policy implication of the study is that a fiscal or monetary stabilization policy would not have permanent effects on the unemployment rates of the 19 OECD countries. [ABSTRACT FROM AUTHOR]

Foreign trade matters considerably more than ever in today's integrated economies, and the wealth of benefits afforded by air transport is one of the cornerstones of international trade. Therefore, to shed light on the precise role of air cargo, seen as an important motor of growth, this paper provides an empirical model to examine the relationships among trade openness, air freight volume and GDP per capita using panel cointegration techniques for a sample of Economic Commission for Africa (ECA) countries during the 1970-2002 period. The analysis substantiates that there are cointegrated relationships among the three variables and that they are bound together in a long-run equilibrium. Furthermore, evidence from fully modified Ordinary Least Squares panel estimations also indicates that positive trade and air freight shocks contribute to real GDP per capita. In addition, improvements in air cargo services are accompanied by an increase in trade openness in ECA countries and vice versa. These results underscore the important role of air freight and demonstrate that it should not have been overlooked in earlier studies. Finally, the empirical findings have important policy implications for our sample countries. [ABSTRACT FROM AUTHOR]

Purpose — The purpose of this paper is to re-examine the long-run co-movement and causal relationship between GDP and social security expenditures, and employs data on 12 Asian countries from 1972 to 2000. Design/methodology/approach - The Pedroni's panel cointegration test. Findings — Test results show strong evidence in favor of the existence of a long-run equilibrium cointegrating relationship between GDP, capital stock and social security expenditures after allowing for heterogeneous country effects. Research limitations/implications — Ever since Diamond in 1965 and Feldstein in 1974 analyzed social security in a growth model, how social security affects savings has become a central issue of policy debate. Social security may influence savings and therefore growth; this is a good issue which should be included for future research. Practical implications — The policy implication shows that in the long run, economic growth must be based on the social welfare policy contiguously, and the economic growth process can allow the social welfare policy to proceed further. Originality/value — Analyses of relationships among between social security expenditures and GDP have thus far ignored the panel unit root or panel cointegration properties. [ABSTRACT FROM AUTHOR]

Using the Solow–Swan growth model and the time‐trend included in the aggregate production function, this study applies the multivariate cointegration approach to re-investigate the long-run and causal relationships between defence expenditures and GDP while controlling for capital and labour input in Taiwan during the 1955–2002 period. It examines the long-run causal relationship using the weak exogeneity test and utilizes general impulse response functions to determine whether a shock to defence expenditures affects economic growth or vice versa. Our findings provide substantive evidence in favour of the existence of a long-run equilibrium cointegrated relationship between defence expenditures, GDP, labour and capital stock. The results of the weak exogeneity test indicate that a bi-directional causal relationship exists in the long-run between defence expenditures and GDP. Thus, the main policy implication that emerges from the long-run results is that increasing defence expenditures in Taiwan is an effective means to boost overall economic performance and, with this improved economy, it should then be able to increase its defence expenditures further. Lastly, from our dynamic vector error correction model estimations, it is found that defence expenditures are a major means of adjusting for disequilibria that occur within the system. [ABSTRACT FROM AUTHOR]