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This research investigates the impact of oil price, income and carbon dioxide emissions on renewable energy consumption in Russia for the data period from 1990 to 2015, using the Vector Error Correction Models and the Canonical Cointegrating Regression method. This article is the only study conducting individual time-series analysis that emphasizes the effect of oil price on renewable energy consumption in the case of Russia. The results of empirical analysis conclude that oil price affects renewable energy consumption negatively. The negative oil price effects on renewable energy use can be interpreted as a sign of issue that stems from higher oil prices and slows the transition from conventional to renewable energy sources. Additionally, we found that there is a positive and statistically significant influence of real GDP per capita as a proxy of income on renewable energy consumption, whereas the carbon dioxide emissions have a negative and statistically insignificant influence on renewable energy consumption. Considering these empirical results, Russia, which has a significant share in energy production in the world, should focus on the use of renewable energy in order to maintain this superiority and its sustainability. The findings of this paper may be useful to policymakers and may help to contribute to existing literature for future research in the case of oil-exporting countries.

This article analyzed the relationship between financial development, renewable energy consumption, economic growth, and energy prices in Azerbaijan by employing time series data for the time span of 1993–2015. The autoregressive distributed lagged (ARDL) technique was applied in empirical estimations, because it performs better than all the alternative techniques in small samples, which was the case here in this article. The results of estimation found that there is a positive and statistically significant influence of financial development and economic growth on renewable energy consumption, whereas the prices of energy proxied by CPI have an adverse impact on renewable energy consumption in Azerbaijan. Also, estimation results demonstrated that a 1% rise in financial development, proxied by domestic credit as a percentage of GDP, and economic growth increase renewable energy consumption by 0.16% and 0.60%, respectively. The different financial development impacts on renewable energy consumption and related policy implications were also introduced.

Purpose – This study aims to determine the influence of Open Market Operations (Sertifikat Bank Indonesia Syariah, SBIS), Sukuk of Bank Indonesia (Sukuk Bank Indonesia, SukBI), Bank Indonesia Sharia Deposit Facility (Fasilitas Simpanan Bank Indonesia, FASBIS), Islamic Interbank Money Market (IIMM/Pasar Uang Antar Bank Syariah, PUAS), and Islamic Bank Financing on economic growth and inflation in Indonesia. Methodology – This study uses the Vector Error Correction Model (VECM), which uses monthly data from January 2017 to December 2022. Findings – The results of the VECM analysis show that, in the short and long term, the FASBIS and PUAS variables significantly affect economic growth. The Covid-19 pandemic has a significant effect in the short term, whereas Islamic Bank Financing has a significant effect in the long term. In the Inflation model, only FASBIS has a significant short-term effect. In the long-term, FASBIS, PUAS, and Islamic Bank Financing significantly affect inflation. Implications – The results of this research suggest that the Government and Bank Indonesia will need to re-evaluate Sharia Open Market Operations, especially SBIS and SukBI instruments. This is the impact of the estimation results on the Open Market Operation variable, which are not significant, and the IRF results, which are negative in the Economic Growth Model and positive in the Inflation Model, indicating that the Open Market Operation variable actually inhibits economic growth and triggers inflation. Originality – This study discusses the influence of Sharia monetary instruments before and after the Covid-19 pandemic and adds the SukBI instrument as a Sharia monetary instrument.

This paper examines the relationship between energy consumption, financial development, and economic growth in an oil-rich economy—Azerbaijan—employing cointegration techniques to the data ranging from 1992 to 2015. The results confirm the existence of a long-run relationship among the variables. Also, we find that there is a positive and statistically significant impact of financial development and economic growth on energy consumption in the long-run. The positive and statistically significant coefficient of financial development and decreasing volatility in the proxy for financial development over time can be considered as improvements in the financial system. Estimation results show that a 1% increase in financial development, proxied by the private credit indicator, and economic development increases energy consumption by 0.19% and 0.12%, respectively. The positive and significant impact of financial development on energy consumption on the backdrop of relatively cheaper energy prices due to rich oil and gas resources, should be considered by policymakers in their energy use, financial development, and economic growth related decisions.

The theory of redistribution, which argues that individuals from higher-income groups are the primary holders of public debt, serves as the theoretical foundation for our research. The impact of redistribution based on the realization of receipts from interest on the public debt, cannot be entirely offset by the insufficient progressiveness of the tax system. Given that it significantly affects how income is distributed, the paper also considers the financial structure aspect, which is measured by the ratio of bank-based to market-based financing. The purpose of this paper is twofold. First, examine whether public debt increases inequality in income distribution, and second, test if the relative increase in market financing compared to bank financing increases inequality in income distribution. Thus, the paper investigates whether, in countries where public debt ownership is not distributed equally, public debt has a non-negligible effect on income transfer between different socioeconomic groups. The empirical part of this work was conducted using a dynamic panel model on a sample of 27 OECD member countries, for the period from 2004 to 2021. Precisely, we employ the Vector Error Correction Model (VECM). Research findings indicate that an increase in state borrowing results in a long-term redistribution of income from lower-income groups to higher-income groups. Conversely, an increase in the financial system’s emphasis on bank financing results in a short-term decrease in income inequality. So, while high levels of public debt are certainly a cause for concern, it is crucial to also consider the distribution of this debt within the economic policy-making process, and when evaluating its potential impact on economic inequality. Teorija preraspodjele, koja tvrdi da su pojedinci iz viših dohodovnih skupina dominantni nositelji javnog duga, služi kao teorijska osnova za naše istraživanje. Utjecaj preraspodjele na temelju realizacije primitaka od kamata na javni dug ne može se u potpunosti nadoknaditi nedovoljnom progresivnošću poreznog sustava. S obzirom na to da značajno utječe na način raspodjele dohotka, rad također razmatra aspekt financijske strukture, koji se mjeri omjerom financiranja temeljenog na bankama prema financiranju temeljenom na tržištu. Svrha ovog rada je dvostruka. Prvo, ispitati povećava li javni dug nejednakost u raspodjeli dohotka, a drugo, testirati povećava li relativno povećanje tržišnog financiranja u odnosu na bankovno financiranje nejednakost u raspodjeli dohotka. Stoga rad istražuje ima li javni dug, u zemljama gdje vlasništvo nad javnim dugom nije jednako raspodijeljeno, značajan učinak na prijenos dohotka između različitih socioekonomskih skupina. Empirijski dio ovog rada proveden je korištenjem dinamičkog panel modela na uzorku od 27 zemalja članica OECD-a, za razdoblje od 2004. do 2021. Preciznije, koristimo model vektorske pogreške korekcije (VECM). Prema rezultatima istraživanja, povećanje državnog zaduživanja dovodi do preraspodjele dohotka od nižih prema višim dohodovnim skupinama na dugi rok, dok povećanje naglaska financijskog sustava na bankovno financiranje rezultira kratkoročnim smanjenjem nejednakosti dohotka. Dakle, dok su visoke razine javnog duga zasigurno razlog za zabrinutost, ključno je također razmotriti raspodjelu tog duga unutar procesa donošenja ekonomske politike i pri procjeni njegovog potencijalnog utjecaja na ekonomsku nejednakost.

The study revisits the position of the environmental Kuznets curve (EKC) hypothesis in India by incorporating the role of energy consumption and democratic regime in the environmental degradation function for the period 1971–2014. Employing Zivot–Andrews nonstationarity test, Bayer–Hanck cointegration test, autoregressive distributed lag (ARDL) model, and vector autoregressive model (VECM) Granger causality test, the results found the integration order of I(1) and a stable cointegration among the series. The result validates the EKC hypothesis for India and further divulges that while energy consumption increases environmental degradation both in the long run and short run; the effect of democracy in reducing environmental degradation is weak (statistically insignificant) in the long run but strong (statistically significant) in the short run. The finding from the VECM Granger causality test indicates a long-run causality between the fundamental variables and environmental degradation. Furthermore, the results of the short run show a unidirectional Granger causality running from energy consumption to environmental degradation, energy consumption to real income, and energy consumption to square of real income. Therefore, our findings suggest that energy conservation policy should be prioritized towards harnessing energy from clean sources to mitigate environmental degradation and spur economic growth.

The construction sector exerts an exceptional impact on economic development all over the world. Adequate buildings and infrastructures made by the construction sector ensure that a country reaches certain targets like social development, industrialization, freight transportation, sustainable development, and urbanization. This study aims to determine the construction sector’s connectivity with other sectors through complex linkages that contribute immensely to the economy and gross domestic product (GDP). The data were collected from the Department of Statistics Malaysia and the World Bank from the year 1970 to 2019, and the Pearson correlation test, the cointegration test, and the Granger causality test were conducted. The vector error correction model (VECM) was created for short-term and long-term equilibrium analysis and impulse response function (IRF) was performed to study construction industry behavior. Afterwards, the forecasting was done for the year 2020 to 2050 of the Malaysian economy and GDP for the required sectors. It was revealed that some sectors, such as agriculture and services, have forward linkages while other sectors, such as manufacturing and mining, are independent of construction sector causality, which signifies the behavior of the contributing sectors when a recession occurs, hence generating significant revenue. The Malaysian economy is moving towards sustainable production with more emphasis on the construction sector. The outcome can be used as a benchmark by other countries to achieve sustainable development. The significance of this study is its usefulness for experts all over the world in terms of allocating resources to make the construction sector a sustainable sector after receiving a shock. A sustainable conceptual framework has been suggested for global application that shows the factors involved in the growth of the construction industry to ensure its sustainable development with time.

This study examines the impact of economic growth, energy consumption, trade openness, financial development on carbon emissions for the case of Turkey by using annual time series data for the period of 1960–2013. The Lee and Strazicich test suggests that the variables are suitable for applying the bounds testing approach to cointegration. The cointegration analysis reveals that there exists a long-run relationship between the per capita real income, per capita energy consumption, trade openness, financial development, and per capita carbon emissions in the presence of structural breaks. The results show that in the long run, carbon emissions are mainly determined by economic growth, energy consumption, trade openness, and financial development. The VECM Granger causality analysis indicates a long-run unidirectional causality running from economic growth, energy consumption, trade openness, and financial development to carbon emissions. The findings also show that the EKC hypothesis is valid for Turkey both in the long run and short run. The study provides some implications for policy makers to decrease carbon emissions in Turkey.

The objective of this paper is to find out whether there is a long-term relationship or in other words cointegration, between the prices of oil futures and the following factors: the consumer price index (CPI), the exchange rate of the USD to the EUR, the prices of gold, and the price of Bitcoin. This research was conducted using monthly data, extracted from both Refinitiv and Yahoo Finance, in the period 2014-2022. In order to find the cointegrating relationship between the above mentioned variables, the Johansen test was used, after which, the Vector Error Correction Model (VECM) system was composed to formulate a set of equations that explain all the variables. The results of this research show that only one cointegrating relationship exists between the previously mentioned variables. Namely, in a state of long-term equilibrium, only the prices of gold have a statistically significant effect on oil prices.

The purpose of this paper is to identify the long-run and short-run relationship between the values of the Macedonian Stock Exchange Index composed of 10 most liquid listed stocks (MBI10), the Zagreb Stock Exchange Index (CROBEX) composed of the most liquid listed stocks, the Sarajevo Stock Exchange Index (SASX-10) composed of 10 most liquid listed stocks and the Belgrade Stock Exchange Index composed of 15 most liquid listed stocks (BELEX 15) and the selected macroeconomic variables. In order to identify the macroeconomic variables that affect the values of the selected stock indices, the analytical-synthetic method and the statistical method are applied. The statistical method uses econometric models for data analysis and interpretation and includes the application of the following econometric tools: Panel unit root test, Fisher -Johansen cointegration test, application of the panel vector error correction model (PVECM) and the Wald test statistics. The results of PVECM between the values of the selected stock indices and independent variables such as industrial production index 2015=100, average monthly gross wages, shows existence of conditionality or causal relationship on the long-run, when independent variable Harmonized Index of Consumer Prices (HICP) according to the COICOP classification 2015=100 is exluded from the model. By applying PVECM, it can be concluded that there is a long run causality running from independent variable to dependent variable, meaning that between the values of the selected stock indices and industrial production and average gross wages there is speed of adjustment towards long run equilibrium.