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This study considers the economic importance of export activities, logistics performance and transportation services as key agents of sustainable development. Considering this aspect of economic development, this study investigates the mediating role of logistics performance in determining the effects of export and transportation on the economic growth of the panel data of 35 emerging upper-middle-income countries over the period 2008-2018. By employing the economic growth model and considering essential indicators, this investigation addresses key aspects of development in the examined economies. The empirical results show that logistics performance, exports, human capital, and population have a statistically significant impact on economic growth with respective elasticities of 0.28, 0.36, 1.25, and negative 0.05. Importantly, the study reveals that logistics performance moderates the effect of export and transportation on economic growth, thus aiding the sustainable development of upper-middle-income countries by increasing export-economic growth elasticity from 0.36 to 1.26. Although transportation services do not influence economic growth independently, its economic importance became significant with elasticity of 1.113 when logistics performance is improved. Therefore, policy makers in upper-middle-income countries should maintain strict macroeconomic policies that could effectively engineer the sustainable export of goods and services and ensure high-quality logistics performance even in the transport sector. [ABSTRACT FROM AUTHOR]

The article explores the impact of economic growth pressure on carbon emissions based on panel data from China's 277 cities. Moreover, the article analyzes the underlying influence mechanisms as well as regional heterogeneity. The results demonstrate that economic growth pressure significantly increases carbon emissions. Technological innovation and foreign trade constitute the channels through which economic growth pressure affects carbon emissions, but the mediating mechanism of industrial structure upgrading does not exist. Concretely, economic growth pressure increases carbon emissions by reducing technological innovation and foreign trade. In Western China, economic growth pressure has the highest impact on carbon emissions. In central and western China, economic growth pressure has a significant positive effect on carbon emissions. On the contrary, the effect of economic growth pressure on carbon emissions is significantly negative in Eastern China. In Northeast China, the positive effect of economic growth pressure on carbon emissions is statistically insignificant. [ABSTRACT FROM AUTHOR]

Following the upsurge of external debt in SSA countries, the effect of external debt on economic growth has captured the attention of empirical studies during the last two decades of the twenty-first century. This study investigated the short- and long-run effect of external debt on the economic growth of 39 SSA countries during the last decade for the periods of 2011–2021. The annual balanced dynamic panel data for the study were sourced from a recognized trustworthy data source, the world development indicator. The result of the study divulged that external debt has a significant negative impact in both the short and long run. Unequivocally, other things remaining constant, a percentage change in total external debt is associated with a 0.034 percent decline in the real GDP of SSA in the short run, while it leads to 0.65 percent shrinkage in the real GDP of SSA in the long run. The study concludes that the negative impact of the long run is greater than that of the short run. The policy implication is that SSA countries should allocate the external debt on the projects that bring other investment opportunities to amortize external debt. Further, the strategies that improve domestic revenue mobilization sources that compliment external debt such as improving informal sectors to broaden tax bases and minimizing domestic revenue leakages need to be established in SSA countries. [ABSTRACT FROM AUTHOR]

The purpose of this study is to estimate the relationship and influence between regional inequality variables, human capital, the open unemployment rate, and economic growth in Indonesia using panel data. The panel data consists of a combination of time series data from the 2010–2020 period, based on information from 32 provinces in Indonesia. The estimation model employed in this study is a panel regression model utilizing three methods: the common effect model (CEM), fixed effect model (FEM), and random effect model (REM). The findings of the study reveal a positive and significant effect of the ETI factor on the LOG (GRDP) factor. Additionally, the HDI variable exhibits a positive and significant impact on the LOG (GRDP) variable, while the UNR variable also shows a positive and significant effect on the LOG (GRDP) variable. Furthermore, the ETI variable is found to have a positive and significant influence on the UNR variable, while the HDI variable has a negative and significant impact on the UNR variable. Finally, the LOG (GRDP) variable demonstrates a positive and significant effect on the UNR variable. [ABSTRACT FROM AUTHOR]

The study examined the effects of agricultural trade openness on economic growth in the EAC. We empirically analyzed the issue in five countries from 2000 to 2021. Panel data estimation methods were used in the study. The variables were found to be integrated of order one and zero. There was presence of cointegration, cross-sectional heterogeneity and cross-sectional dependence. The CS-ARDL results revealed that agricultural trade openness and economic growth enjoyed a long-run relationship. The empirical results indicated that the effect of agricultural trade openness on economic growth was positive and significant in the long run. Bootstrap panel granger causality analysis was applied in testing the nature and direction of causal relationships between variables. The results indicated that a unidirectional causal relationship existed between agricultural trade openness and economic growth. This implies that an increase in trade openness promotes economic growth. Based on the findings of the study, we recommend that strategies aimed at promoting trade openness should be complemented with strong policies to enable EAC countries to reap more growth benefits associated with open trade. [ABSTRACT FROM AUTHOR]

In Indonesia, fiscal decentralisation has been implemented for two decades, and it is expected that the regions will have a sufficient level of independence to increase economic growth and welfare. This study investigates the influence of fiscal decentralisation and human development on regional economic growth. The sample data comprised 484 county-level in Indonesia and utilised the panel data method. The findings showed that the central government grant, locally generated revenue, and human capital development positively influenced regional economic growth, although the degree of decentralisation negatively affected regional growth. Meanwhile, for regions with independence above 50 per cent, decentralisation, locally generated revenue, central government transfer and provincial loans and human capital development positively influenced regional economic growth. In addition, findings also indicated that a dynamic effect exists, implying that the performance of previous regional economic growth influenced current economic achievements. The policy implication of the study is that policymakers cannot equalise policy to boost regional economic growth because every county has its specific characteristics. [ABSTRACT FROM AUTHOR]

In the recent years, the trend of environmental sustainability is rapidly increasing by adopting renewable energy resources. However, the main concern is that whether renewable energy consumption contributes to economic growth. To investigate the issue, this study analyzes renewable energy led economic growth hypothesis in the Next-11 economies over the period 1990–2020. Also, this study aims to examine the influence of industry value added, gross national expenditure, and trade openness on economic growth of these economies. Along with the second-generation panel unit root test, this study employed the non-parametric panel data approach, i.e., quantile method of moments regression. The estimated results reveal the slopes coefficients are heterogeneous and cross-sectional dependency is present in the panel. The non-parametric approach reveals that validity of renewable energy led growth hypothesis. Also, the industry value added, gross national expenditure, and trade openness are found positively affecting economic growth of these economies. The panel causality test gives indication of the two way causal association between the variables. Based on the obtained results, policy implications are also provided for governors and researchers. [ABSTRACT FROM AUTHOR]

The economic growth of developing countries has been associated with their exports, and the existing research suggests that exchange rates significantly influence the exports. This study used panel data to investigate the potential nexus of gross domestic product (GDP), exports and exchange rates in Asian countries over the period of 1981–2016. The results portray that nexus between exchange rate and exports holds true for Export-led Growth (ELG) and Growth-led Exports (GLE) hypotheses. This study used the Wald test under Vector Error Correction Model (VECM) with all necessary specifications tests to identify the possible nexus of variables, and applied the fixed effects model along with control variables. The results imply that an undervalued currency enhances exports and has a significant impact on economic growth. Additionally, the results of Fully Modified Ordinary Least Squares (FMOLS) model with financial crises dummy suggested that the estimations are robust. Keeping in view the aforementioned findings, a timely and balanced policy can play a pivotal role in improving the long term nexus of exchange rates, exports and economic growth. [ABSTRACT FROM AUTHOR]

Green finance is an effective means adopted by the Chinese government to reduce carbon emissions. Does the development of green finance in Chinese provinces reduce carbon emissions to a certain extent? This study selects panel data of various provinces and cities in China from 2003 to 2019. Based on the Hansen threshold regression model, an empirical analysis is conducted with economic growth and industrial structure as threshold variables to test the impact of green finance on carbon emissions. The results show that green finance increases the speed of carbon emission mitigation when PGDP is the threshold. Taking industrial structure as the threshold, the impact of green finance development on carbon emissions presents an inverted N shape. At the same time, it is found that green finance has become an important means to reduce carbon emissions in the eastern region, the impact of green finance on carbon emissions in the central region presents an inverted U shape, and the driving force of green finance on carbon emission reduction in the western region is weak. Furthermore, it is pointed out that improving the quality of green finance and enhancing the level of green finance empowered by science and technology are the keys to realizing sustainable green development. [ABSTRACT FROM AUTHOR]

The impact of foreign financial inflows on the economic growth of recipient countries is a controversial issue in many empirical studies. The majority of the previous studies use one variable as an indicator of foreign financial inflows; they fail to incorporate many variables. The study fills this gap by using remittance inflows, foreign direct investment, official development assistance, and external debt as an indicator of foreign financial inflows. This study investigates the impact of foreign financial inflows on the economic growth of 31 sub-Saharan African countries over the period 2009 to 2019. The study employed a two-step system GMM due to its practical advantage on the dynamic panel data set. The finding shows that only foreign direct investment has a significant and positive contribution to economic growth. Official development assistance and external debt affect economic growth negatively, and they are statistically significant. Remittance inflow affects economic growth negatively, but it is statistically insignificant. The study suggests that policymakers should work on the way that remittance inflow promotes investment and reduce dependency on official development assistance. In addition, external borrowing should be used for productive purposes. [ABSTRACT FROM AUTHOR]

Using panel data regression of 48 countries during 2000–2019, the research aims to examine the role of budget balance on economic growth in Asia. Also, with the application of Panel Threshold Regression (PTR), the author tests the nonlinear relationship and to identify an optimal budget balance threshold to achieve the most effective economic growth. The study shows that the lower national budget deficit level is remained, the greater economic growth in Asia is driven. Additionally, it is revealed that an effective economic growth is best promoted with budget balance ranging from 22.6935% GDP to 25.1950% GDP. However, only a few of nations in the sample have achieved the optimal threshold of budget balance above during the period of research. Meanwhile, several countries in Asia have been suffering from the budget deficit for many years. Therefore, in order to stabilize the economic development, most of the Asian countries should adjust the national budget revenue and expenditure process to keep the balance properly. [ABSTRACT FROM AUTHOR]

Economic growth and financial development are intrinsically related. Literature provides evidence that economic growth leads to financial development and financial development also leads to economic growth. The study analyzes this association between economic growth and financial development considering institutions for countries with substantial oil rents. The study uses the Pedroni test for cointegration, Granger causality, Ordinary Least Squares (Panel, Fully Modified, and Dynamic) methods to study the relationship on a panel data of six countries from 2000 to 2019. The study proceeds with the hypothesis that economic growth leads to financial development in countries having oil rents. The study finds that economic growth has a significant positive impact on the financial sector development of the GCC countries and not vice versa. The study also reports that poor institutional quality constraints the contribution of oil rents to financial development. The results imply that in countries accruing oil rent, the quality of institutions needs to be improved for furthering the cause of financial development. Although the study advances the empiricism on the link between economic growth and financial development, incorporating institutions and oil rents is the study's novelty. [ABSTRACT FROM AUTHOR]

The impact of financial development (FD) on economic growth (EG) is well documented. However, studies on how inflation mediates the impact of FD on EG produce inconclusive findings. Meanwhile, the tripartite relationship among FD, inflation and EG is particularly crucial for sub-Saharan African countries given that these countries are largely inflationary on the back of under-developed financial sectors and low EG. The inconclusive evidence presented by the existing studies limits policy making. This study therefore re-examines whether inflation mediates the FD–EG nexus by utilizing a panel data obtained from 36 countries in sub-Saharan Africa. The study uses the sample splitting threshold approach to investigate this relationship. The findings identify inflation thresholds of 7.65% and 6.76% at which the impact of FD on EG changes sign. Specifically, irrespective of the indicator of FD, higher FD significantly increases EG at low inflation rates. However, beyond the estimated thresholds, the impact of FD on EG is insignificant, revealing that higher inflation does not support the growth-enhancing effect of FD. The research recommends that inflation should be kept below the identified thresholds for FD to spur EG. [ABSTRACT FROM AUTHOR]

Foreign aid is an important means of finance for governments of developing countries. The current study investigates whether too much inflow of aid to developing countries is beneficial or harmful to their economy and whether institutional quality and economic freedom matters in aid–growth relationship. To this base, a panel data covering the period 2002–2019 was collected from 44 developing countries of the world. System generalized method of moment was employed to examine the nature of relationship between foreign aid and economic growth, and dynamic panel threshold regression is utilized to uncover the mediating role of institutional quality and economic freedom. The result thus obtained reveals that the relationship between foreign aid and economic growth takes inverted U shape indicating the existence of optimal level of aid equal to 9.7% of GNI. The result from dynamic panel threshold regression shows that the effect of aid on economic growth is negative when arithmetic mean of institutional quality index is less than or equal to −0.614 and the overall index of economic freedom is less than or equal to 60.521. Above the indicated thresholds, the effect of aid on economic growth is positive which means institutional quality and economic freedom matters in aid–growth relationship. Drawing on the results obtained, the study suggest that developing countries should not receive huge amount of aid from donors, reform their institutions for the better, and improve economic freedom if they want to reap the benefit of aid. [ABSTRACT FROM AUTHOR]

The impact of foreign direct investment on the host country's economic growth has been a source of debate in past theoretical and empirical investigations. The PMG/ARDL model, which has a practical advantage in examining the effect of foreign direct investment in the short and long run, has received little attention in prior empirical investigations. This study investigates the effect of foreign direct investment on the economic growth of Sub-Saharan African countries. The study examined panel data from 22 nations in Sub-Saharan Africa from 1988 to 2019. The PMG/ARDL model was used to look at the short- and long-term effects of foreign direct investment on economic growth. The panel unit root test and panel co-integration test were employed to improve the model's estimation. According to the findings, in the long run, foreign direct investment has a favorable and significant effect, but it is statistically insignificant in the short run. The study concludes that foreign direct investment boosts long-term economic growth. As a result, countries in Sub-Saharan Africa should focus on attracting foreign direct investment. [ABSTRACT FROM AUTHOR]

Africa is still struggling to mitigate its electricity insecurity issues. This situation renders foreign direct investment in the renewable electricity industry (FDIREI) and renewable electricity production (REP) to become simultaneously important to Africa. Using a novel dataset of FDIREI, this paper examines the existence and nature of cointegration and causality nexuses among FDIREI, REP, and economic growth (GDP) in 32 African countries over 2003–2019. For methodological robustness purposes; GDP is added. By applying the panel vector autoregression model based-Granger causality test and a static panel data model, which are followed by robustness tests, more informative results are reported. Importantly, we find evidence of the growth hypothesis between REP and GDP, as a unidirectional Granger causality is seen from REP to GDP. Further, the neutrality hypothesis is confirmed among the remaining variables. This left us with the importance of REP in revitalizing African countries' economic growth. All facets of REP thus should be enhanced. [ABSTRACT FROM AUTHOR]

The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The "synthetic control" is a weighted average of control units that balances the treated unit's pretreatment outcomes and other covariates as closely as possible. A critical feature of the original proposal is to use SCM only when the fit on pretreatment outcomes is excellent. We propose Augmented SCM as an extension of SCM to settings where such pretreatment fit is infeasible. Analogous to bias correction for inexact matching, augmented SCM uses an outcome model to estimate the bias due to imperfect pretreatment fit and then de-biases the original SCM estimate. Our main proposal, which uses ridge regression as the outcome model, directly controls pretreatment fit while minimizing extrapolation from the convex hull. This estimator can also be expressed as a solution to a modified synthetic controls problem that allows negative weights on some donor units. We bound the estimation error of this approach under different data-generating processes, including a linear factor model, and show how regularization helps to avoid over-fitting to noise. We demonstrate gains from Augmented SCM with extensive simulation studies and apply this framework to estimate the impact of the 2012 Kansas tax cuts on economic growth. We implement the proposed method in the new augsynth R package. [ABSTRACT FROM AUTHOR]

In this study, the causal relationship between health expenditure and economic growth is examined using panel data from sub-Saharan African countries for the period 2008–2017. The study decomposes health expenditure into two components: public health expenditure and private health expenditure. In order to establish whether the causal relationship between health expenditure and economic growth depends on a country's level of income, the study divides the studied countries into two groups: low-income countries and middle-income countries. In order to address the omission-of-variable bias, which is associated with some of the previous studies, the study incorporates life expectancy as an intermittent variable between health expenditure and economic growth – thereby creating a system of multivariate equations. Using a panel ECM-based Granger-causality model, the study found that when public expenditure is used as a proxy, a distinct unidirectional causality from health expenditure to economic growth is found to prevail in low-income countries, but no causality is found to exist in middle-income countries. However, when private health expenditure is used, a short-run causality from economic growth to health expenditure is found to prevail in middle-income countries, but no causality is found to exist in low-income countries. Policy implications are discussed. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine the effect of financial development and remittances on economic growth across six Western Balkan countries (WBC) using panel data from 2000 to 2017. Previous studies have neglected the effect of financial development and remittances on economic growth with regard to WBC. Based on system GMM analysis, we found that financial development (broad money stock ratio) and remittances shows positive impact on economic growth across WBC. However, the interaction of financial development and remittances provide a significant and negative effect on economic growth. The results imply that remittances together with financial development substitutes the economic growth of WBC. In order to expand the financial system in the WBC, policies targeted to develop the non-deposit financial institutions and using the narrow interest rate margin policy to encourage investment and thus high economic growth. [ABSTRACT FROM AUTHOR]