The present research analyzes the short and long run relationship between Energy Consumption, Economic growth, and Carbon Dioxide emissions in Jordan. The study employs two (2) models: 1: Autoregressive Distributed Lag (ARDL) bound testing approach and 2: Vector Error Correction Model (VECM) Granger causality and impulse response function. The results reveal that energy consumption has a positive impact on carbon dioxide emissions and in turn carbon dioxide emissions have a positive link to economic growth. Further, the Environmental Kuznets Curve (EKC) hypothesis is tested, and it reveals that the EKC hypothesis is validated in the case of Jordan since the carbon dioxide emissions show a significant impact on economic growth in the short and long run. The study provides important results for future researchers and government policy makers.

This study was conducted to consider the relationship between the transportation export value (TR) and energy consumption of Thailand (EN) in the long run by a comparative analysis that relied on testing by the ARDL and NARDL models. The Granger causality of each item was also tested by quarterly time series data from Quarter 1 of 2011-Quarter 4 of 2021. The results revealed a long relationship from the EN to TR. However, only the reduction of the TR affected the EN. According to the results, the energy agencies of Thailand should maintain the balance of EN and sufficient energy imports to drive the TR for its stability.

This study examines the Granger causality between domestic credit and gross domestic product (GDP) as well as investigating this long-term relationship in Vietnam from 2004:Q1 to 2017:Q4 with the use of the autoregressive distributed lag (ARDL) model as the analysis method. Empirical results show that there was a two-way Granger causality relationship between credit and GDP. In addition, credit expansion had a negative impact on economic growth in Vietnam in the long term. Based on this research outcome, the study proposes a number of recommendations focusing on how to overcome the limitations of the bank credit supply channel.

The objective of this paper was to examine the impact of tax policy on social development in Vietnam. In particular, tax policy was measured through the ratio of the government’s tax revenue to gross domestic product - GDP (TAX), and social development is measured through unemployment (UNE). The research data were collected from the General Department of Taxation of Vietnam and the World Bank. We used the Autoregressive Distributed Lag (ARDL) Model to analyze time series data in the period 1990-2017. The paper achieved great success in finding the first empirical evidence of the negative impact of tax policy on unemployment in Vietnam in the long term. In addition, we found a statistically significant impact of domestic savings and domestic investment on unemployment in the both short and long term. This shows that tax policy plays an important role for unemployment as well as social development in Vietnam.

This paper empirically assesses the relationship between Deposit Insurance Funds (DIF) and the quality of risk assets of listed Deposit Money Banks (DMBs) in Nigeria. The entire fifteen listed DMBs in the country as of 31st December, 2017 were focused on and the secondary data were subsequently sourced from the yearly financials of the Nigeria Deposit Insurance Corporation (NDIC) for a 29-year period covering from 1989 to 2017. The Auto-Regressive Distributed Lag (ARDL) and the Vector Error Correction (VEC) estimation techniques were the basis of estimating the relationship between the variables of interest in this study. Evidence from our analyses indicates that the volume of total deposits and total loans and advances of DMBs have long run negative and statistically significant relationship with DIF. Conversely, the quality of risk assets of DMBs exhibits a positive and insignificant relationship with the target reserve ratio of DMBs. The study thus recommends that regulatory agencies in the banking sector (CBN and NDIC), amongst others, collaborate with listed DMBs to diversify and manage their risk assets by strategically intensifying the implementation of existing measures aimed at minimising incidences of loan default and the alarming levels of non-performing loans in the portfolio of Nigerian DMBs.

This paper analyzes the causal relationship between the banking system development and the real estate market in Vietnam from 2004:Q3 to 2018:Q4, with the use of the autoregressive distributed lag (ARDL) model as the analysis method. In Vietnam, there is no empirical study on this issue. Therefore, the paper is the first empirical evidence for the relationship between the banking system development and the real estate market in Vietnam. The research results show that the banking system development (measured through the domestic credit to the private sector) and the real estate market had a positive causal relationship in both short and long terms. In addition, the paper found a statistically significant impact of the global financial crisis on the banking system development and the real estate market in Vietnam, which is a new discovery compared with previous studies.

This paper explored the dynamics of monetary policy and its effect on private investment, using annual frequency data from 1981 to 2017. The paper employed autoregressive distributive lags methodology to estimate the link between private investment and some selected monetary indicators. Empirical finding shows that broad money supply increases private investment in the long run for the study area. Interestingly, our study shows inverse relationship between exchange rate and private investment. These findings are insightful for policymakers for strategic policy mix construction. Consequently, the study recommends, among other things, proper coordination of monetary and fiscal policies, good macroeconomic policies, proper channeling of financial resources to the private sector and proper measures for controlling inflation.

The objective of this research was to determine the effect of corruption on economic growth in Peru for the period 1998-2018. It was determined how economic growth was affected both in the short and long term by corruption. The corruption control index was used to measure corruption and the variation in gross domestic product (GDP) at constant prices was used to measure economic growth. To determine this effect, the hypothetical deductive method was used as a general method since we sought to corroborate a hypothesis and as a specific method, we used the Autoregressive Model of Distributed Lag (ARDL) since this model adapts well to small samples, likewise we had a non-experimental research design – longitudinal explanatory. Data were collected from the World Bank and the Ministry of Education (MINEDU) from 1998 to 2018. As a result of the econometric ARDL model, it was obtained that corruption had a negative effect on economic growth since an improvement of one percentage point in the corruption index would mean an improvement of 0.55 percentage points in economic growth. Therefore, it is concluded that the effect of corruption has a negative effect on economic growth as expected according to the reviewed antecedents.