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The main purpose of this study is to examine the political economy of financial development in Ethiopia, specifically, to test the empirical relevance of the interest group theory of financial development in the context of Ethiopia.

The autoregressive distributive lag model to co-integration is applied to Ethiopia’s time series data from 1990 to 2020 to identify the long- and short-run effects of the political regime characteristics on financial development of the country.

The findings reveal that the degree of democracy in the political system (a proxy for narrow elites) was found to have a significant positive effect on financial development in the long run but has negatively affected financial development in the short run. Similarly, the political regime durability indicator shows a positive and statistically significant effect both in the long run and short run. The macroeconomic policy indicators which are used as control variables in this study reveal significant effects on the financial development of Ethiopia. Generally, the finding supports the interest group theory of financial development.

This paper is the original work on the effect of political regime characteristics on financial development in Ethiopia. Thus, it brings substantial value to studying determinants of financial development as it goes beyond the conventional determinants by considering the role of political power in the process of financial development.

This study aims to explore the short-run and long-run relationships and causality between economic growth and financialization in the new member states (NMS-11) and to provide some policy implications drawn from the empirical findings.

The autoregressive distributed lag (ARDL) bounds test approach to cointegration with the vector error correction model and the cumulative sum of squares (CUSUMQ) test for stability of functions is used between 1995q1 and 2021q4 to examine the existence of cointegration, relationships and causality between economic growth and financialization.

The findings of the ARDL bounds test demonstrate that the variables included in the models are bound together in the long run, as confirmed by the associated equilibrium correction. The estimated models indicate that the association between selected variables and economic growth is stronger and more statistically significant in the short run compared with the long run. Also, for NMS-11 understudied countries, short-run causality prevails over long-run causality. The changes in the level of financialization have a significant negative effect on the growth rates in the short run, which aligns with findings from previous empirical studies.

This study extends the existing very limited literature about short-run and long-run relationships and causality among economic growth and financialization, including inflation and unemployment variables, to determine their link in the NMS-11. Specifically, the present study reveals that the current level of financialization hampers economic growth and promoting such economic policies further can have adverse effects on the overall economic growth.

This paper aims to investigate the long-run financial and environmental performance of corporate green bond issuers, worldwide.

The data includes 259 corporate green bond issuers from 2013 to 2020. The authors adopt the matching approach, using the nearest neighbor method to select the control firms. The event-time approach is used to examine corporate green bond issuers’ long-run stock market performance, and robustness tests are conducted using the calendar-time method. The authors examine green bond issuers’ long-run environmental performance and carbon dioxide (CO₂₎ emissions using difference-in-differences estimations.

In contrast with the earlier long-run event studies, our results reveal that multiple-time issuers, and issuers operating in industries where the natural environment is financially material, perform financially in the long term relative to the control firms. The authors also document that corporate green bond issuers reduce their CO₂ emissions, and improve their resource use efficiency and environmental performance, in the long run.

To the authors’ knowledge, this is the first study that looks at the long-run effect of corporate green bond issuance on firms’ stock market performance. It has the particularity to document that corporate green bond issuance is beneficial for investors and positively affects the environment. Our findings help us understand that firms do not issue green bonds for greenwashing.

The paper assesses the moderating function of institutions in the financial development and environmental nexus covering India for the time period 1980–2019.

Deviating from extant literature which has mostly used emissions of major greenhouse gasses as a measure of environmental quality, the present study uses a broad measure of environmental quality called ecological footprint (EFP). Financial development is measured using a robust proxy recently introduced by International Monetary Fund (IMF). This index is multifaceted and covers three broad dimensions of financial sector in terms of depth, efficiency and access of both financial institutions and markets, thus outperforming the exclusively bank-based measures used in the past literature. Further institutional quality index is generated using the data from international country risk guide. Finally, autoregressive distributed lag model is used for the empirical estimation of short-run and long-run results.

The empirical estimates reveal that financial development and institutional quality are good for long-run environmental sustainability of India, whereas economic growth degrades the environment in the long- run. The results also attest to the existence of pollution heaven hypothesis in India for long run. Furthermore, regarding the moderating role of institutions, the study reveals that institutional quality complements financial development in affecting environment in the short run. While as, in the long run, they play a substitutive role whereby sound institutions cover-up the inefficiencies in financial system.

First, the paper uses the index of financial development developed by the IMF in order to quantify the level of financial development in India overtime. The index is based on three key dimensions of financial development such as the depth, efficiency and access of both financial institutions and markets. However, the index completely neglects the role of financial stability in determining financial development. Thus, future studies that are based on this IMF introduced index of financial development should incorporate the stability dimension to it. Second, this empirical study focused exclusively on India and employed aggregate EFP to measure environmental quality. Further studies can complement the content of this research by conducting similar studies to capture country-specific characteristics of other emerging economies and also scrutinize the impact on the six sub-indices of EFP.

The results of the study reveal that the effect of financial development, and institutions on ecological footprint is sensitive to time dynamics. Moreover, the findings offer important policy implications to government and policy makers in India on how to curb the menace of environmental degradation.

The paper addresses the gap in the literature by examining the moderating role of institutional quality in the financial development and ecological footprint nexus in India. Furthermore, the authors employ a robust proxy for both financial development and environmental quality unlike extant studies on India.

This paper aims to examine whether Indonesian cross-border trade responds asymmetrically to exchange rate volatility (ERV).

An exponential generalized autorgressive conditional heteroscedasticity model is applied to estimate the ERV of Indonesia and ten main trade partners using quarterly data from 2006 to 2020. A nonlinear autoregressive distributed lag estimation is applied to estimate the impact of ERV on cross-border trade. Impacts from the global financial crisis (GFC) of 2008 and the COVID-19 pandemic are covered. Dynamic panel data is used for the robustness test.

In the short-run, ERV significantly affects exports to most of the top partners (positively, negatively or both). In the long run, asymmetric effects occur in Indonesia’s exports to five top destinations. The weakening of the Indonesian Rupiah mainly supports exports in the short term. Imports from top partners are also affected by ERV in both the short run and, to a lesser extent, in the long run. Both the GFC and the COVID-19 pandemic reduced trade: for most cases, in the short run. The dynamic panel model suggests that ERV has asymmetric impact on cross-border trade in the long run.

Exchange rate strategies need to avoid a single-side policy approach and, instead, account for exporter and importer differences in risk behaviour and an asymmetric response to ERV in trade. Policymakers need to consider policies that stabilise the currency.

This study provides evidence that cross-border trade can react asymmetrically to the exchange rate uncertainty and that the impacts of real ERV are asymmetric as well. The authors also apply a dynamic panel that signals that ERV matters in the long run for Indonesian trade with top partners.

The purpose of this study is to examine the impact of managerial ability on corporate tax risk and long-term tax avoidance using the upper echelons theory.

This study uses a quantitative method with regression models, using a sample of listed firms on the Indonesia Stock Exchange from 2011 to 2018.

The regression results report that managerial ability negatively influences tax risk and positively impacts long-run tax avoidance. Companies with more able managers have a relatively lower tax risk and greater long-run tax avoidance. The results reveal that firms with managers that possess greater abilities are more committed to long-run tax avoidance while concurrently maintaining a lower level of their tax risk. The impacts the authors report are statistically significant and robust, as proved by a series of robustness checks and additional tests.

This study only includes firms from one developing country.

The empirical results might be of interest to board members while envisaging the benefits and costs of appointing and hiring managers, as well as to the tax authority and the other stakeholders interested in apprehending how managerial ability influences corporate tax risk and long-run tax avoidance practices simultaneously.

This study proposes and tests an explanation for the impact of managerial ability on corporate tax risk and long-run avoidance simultaneously in the context of an emerging country.

The purpose of this study is to examine two issues, namely the degree of current account deficit (CAD) sustainability and the degree of capital mobility.

The sample for this study comprises 24 Latin American and Caribbean countries, including three regional agreements: Andean Community, MERCOSUR (Mercado Común del Sur), and SICA (Central American Integration System). This study employs the dynamic common correlated effects mean group (DCCEMG) estimator in a panel data set to investigate the long-run relationship between savings and investment along with short-run dynamics.

The findings indicate that CAD is weakly sustainable in the Latin American and Caribbean region, MERCOSUR, and SICA, while CAD is strongly unsustainable in the Andean Community. The sub-period analysis reveals that CAD has been adversely affected by the 2008 crisis. However, in the post-crisis period, CAD has been slowly decreasing in the Latin American and Caribbean region and Andean Community, whereas CAD has continued increasing in MERCOSUR and SICA. Further, the estimates of error-correction terms and short-run coefficients indicate that the Andean Community and MERCOSUR observe a higher degree of long-run and short-run capital mobility than SICA.

The results carry fundamental implications for policy-making processes aimed at maintaining sustainable CADs.

This study gives an alternative interpretation of the “Feldstein-Horioka” coefficient in terms of CAD sustainability and analyses the saving–investment relationship in light of Chudik and Pesaran (2015).

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

This paper investigates the (a)symmetric effects of financial development in the presence of economic growth, energy consumption, urbanization and foreign direct investment on environmental quality of South Africa between 1980 and 2017.

A robust measure of financial development is generated using banking institutions and non-banking institutions market-based financial development indicators, while environmental quality is measured using carbon footprint, non-carbon footprint and ecological footprint. The objectives of the study are captured using linear and non-linear autoregressive distributed lag.

The result from the symmetric analysis suggests that financial development stimulates carbon footprint and ecological footprint in the short run; however, financial development abates non-carbon footprint. In the long run, financial development has a significant negative effect on carbon footprint and ecological footprint. However, the asymmetric analysis established strong asymmetric effect in the short run, while no asymmetric effect is found in the long run. The short run asymmetric analysis reveals that positive shock in financial development increases carbon footprint and ecological footprint; however, positive changes in financial development reduce non-carbon footprint. Negative shocks in financial development, on the other hand, have a positive impact carbon footprint, non-carbon footprint and ecological footprint.

The study's outcome implies that the concept of “more finance, more growth” could also be applied to “more finance, better environment” in South Africa. The study offers vital policy suggestions for the realization of sustainable development in South Africa.

This empiric adds to the body of knowledge on the influence of financial development on various components of environmental quality (carbon footprint, non-carbon footprint and ecological footprint) in South Africa.

The purpose of this paper is to investigate the impact of foreign direct investment (FDI) on the stock market development in Nepal.

The study used Johansen cointegration approach to determine long-run relationship and VEC Granger causality test to check the causal relations between the variables. The sample covered annual time-series data for the period 1996–2020.

The results suggest that FDI plays significant positive role in the stock market development in the long-run but inversely affect in the short-run. Unidirectional causality running from FDI to stock market development is observed in the long-run and bidirectional in the short-run. There is an insignificant positive relationship between exchange rate and FDI in the short-run. Banking sector development complements stock market development in the short-run but act as a substitute in the long-run. The statistically negative coefficient of exchange rate imply that the appreciation of the home currency encourage the development of the stock market in the long-run.

The positive and statistical coefficients of cointegration results indicate that FDI complements the development of stock market in Nepal in the long-run. Furthermore, the depreciation of the domestic currency may potentially contribute to the foreign direct investments in Nepal.