Investigation for Finance–Growth Nexus: A Dynamic Common Correlated Estimator Approach

2021 ◽  
pp. 097215092110162
Author(s):  
Saqib Mehmood ◽  
Ahmad Raza Bilal

The study investigated the impact of financial development in bringing the economic well-being, using the data of 10 selected developing countries, as a sample for the period from 1991 to 2017. However, the study utilizes the regression of group mean dynamic common correlated estimator (DCCE) by Chudik and Pesaran (2015) to analyse the said circumstance. For estimation, the present study is considering the major tycoons of financial development and their relevant areas that are significantly effecting the economic growth. However, the broad money (GAM1), domestic credit to private sector to GDP (GAM2), domestic credit to private sector by banks (GAM3), government’s final consumption expenditures (GAFCE) and foreign direct investment GAFC are major contributors in attaining the GDP per capita (GADA). However, the estimation of the concerned circumstance was also evaluated in terms of shorter and longer run estimations. The results of the short– and long–run estimations also authenticate the results of DCCE estimations. The robustness of the results is verified with the help of Pedroni (2004) test, fully modified ordinary least squares (FMOLS) test by Pedroni (2001) and dynamic ordinary least squares (DOLS) by Stock and Watson (1993) . The robustness tests also verify the factors that are considered as the major players of financial development for uplifting the concerned economies. Selected developing countries have the potential for utilizing their financial development options to manage their growth at the economic level. For practical implications and for policymaking, the ingredients of this particular study can be endorsed to get the desired results.

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.


2018 ◽  
Vol 3 (2) ◽  
pp. 40-55
Author(s):  
Vivian Bushra Kheir

Purpose The purpose of this study is to empirically examine the impact of financial development on poverty reduction in Egypt. The paper also investigates whether financial development affects poverty via gross domestic product (GDP) growth. Design/methodology/approach This study uses the autoregressive distributed lag approach to estimate two specifications. The first is dependent on poverty by the ratio domestic credit to the private sector (percentage of GDP) and the second is dependent on the poverty by the ratio liquid liabilities to GDP or M3/GDP. The data are annual and cover the period from 1980 to 2015. Findings In long run, the study finds that relationship between economic growth and poverty is bidirectional. Financial development and poverty (household final consumption expenditure per capita) are complementary as bidirectional (in Granger sense). In short run, the study finds the bidirectional causality between financial development (real domestic credit to private sector per capita) and poverty reduction. Practical implications The findings suggest that governments should remove policies that impede the ability of banks to offer loan products or undermine the commercial incentive structure for banks or borrowers. It is crucial to enhance the role of specialized state-owned banks in financial intermediation. Social implications Several attempts have been made to investigate the relationship between financial development and other macroeconomic variables, but few studies have examined the impact of financial development on poverty reduction. Furthermore, the majority of the previous studies are based on Asia and Latin America – affording Egypt very little or no coverage at all.


2021 ◽  
Vol 14 (2) ◽  
pp. 88
Author(s):  
Neil A. Wilmot ◽  
Ariuna Taivan

Global energy production has been on the rise for many years, and reliance on traditional sources of energy remains strong. The extraction and production of energy can serve as an important avenue of growth, particularly for developing economies. To undertake such capital intensive project requires significant investment, and, intuitively, a well-functioning domestic financial system would be expected to aid in the growth of such industries. We investigate the relationship between financial development and energy production for 15 emerging countries, over the period of 1995–2017. After establishing the presence of a unit root, based upon panel data methods, a cointegrating relationship between financial development and energy production is confirmed. The results of the fully modified ordinary least squares (FMOLS) estimation establish a long run relationship in 11 of 15 countries in the sample. Panel Granger causality results provide a link between energy production and foreign direct investment (FDI), while such a link is absent for domestic credit. Policymakers should understand that development of the energy sector can provide an incentive for foreign firms to invest in emerging economics.


Author(s):  
Thomas Appiah ◽  
Frank Bisiw

The economic development of any nation hinges on the health of its financial system. In recent years, the health of the Ghanaian Banking sector has been affected severely as a result of high levels of non-performing loans (NPLs), which has been identified as a major threat to the overall profitability and survival of banks. To minimize the impact of NPLs on the financial sector, key stakeholders such as the government, bank officials and regulators are working hard in that regard. However, any policy response aimed at dealing with the high rate of non-performing loans first requires the understanding of the underlying determinants of NPLs. Against this backdrop, this paper apply panel co-integration techniques to investigate the determinants of credit risk (NPLs) in the banking sector of Ghana.  We use NPL as a proxy to measure credit risk and assess how it is influenced by macroeconomic and bank-specific factors. A balanced panel data of 16 universal banks in Ghana from 2010 to 2016 has been analyzed using Panel co-integration techniques such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our result shows that growth in the economy, measured by Gross Domestic Product (GDP) has significant influence on the NPLs of banks in the long-run. The results further revealed that capital adequacy, profitability and liquidity of banks are significant predictors of NPLs. However, our results suggest that bank size, inflation and interest rate have statistically insignificant influence on the NPLs of Ghanaian banks. The study recommend, among others, that whereas it is important for government and policymakers to work to improve macroeconomic outcomes, banks should also improve their capital adequacy, profitability, and efficiency position as these bank-specific interventions could significantly improve credit quality and minimize NPLs.


2021 ◽  
Vol 0 (0) ◽  
pp. 1-25
Author(s):  
Faris Alshubiri

This study examined the effect of the relationship between saving and capital expansion on financial and technological development in three GCC countries using panel data from 1990 to 2019. The study used panel least squares, feasible general least squares, dynamic ordinary least squares and fully modified ordinary least squares used in the study. The findings showed that there was a significant positive long-run relationship between capital expansion and financial development and was a positive and insignificant long-run relationship between saving and financial development. Conversely, the study showed that there was a significant positive long-run relationship between saving and technological development. Meanwhile, there was a negative long-run relationship between capital expansion and technological development. Pairwise Granger causality test results showed that there was bidirectional causality between saving and financial development, a single causal direction from Adjusted net national income and financial development and a single causal direction from technological development and saving and Inflation, consumer prices. The main conclusions of the study were saving tends to support technological development, while investment tends to improve financial development. Therefore, GCC countries should formulate a long-term growth strategy in all sectors to determine their development requirements in light of the available resources.


2017 ◽  
Vol 62 (02) ◽  
pp. 509-530 ◽  
Author(s):  
AZFAR HILMI BAHARUDIN ◽  
YAP SU FEI

This paper is an empirical investigation on economic growth for Malaysia, with focus on income inequality, foreign direct investment (FDI), financial development and trade. Co-integrating regression procedures namely, fully modified ordinary least squares (FMOLS), canonical co-integrating regression (CCR) and dynamic ordinary least squares (DOLS) were employed. Positive relationship between growth with financial development and trade are found to be consistent across all estimations. Income inequality on the other hand though negative, does not seem to exhibit robust significant statistical relationship with growth. The orders of integration for variables used have been demonstrated to be governed such that a long-run relationship prevails.


2020 ◽  
Vol 66 (No. 10) ◽  
pp. 458-468
Author(s):  
Chen Ding ◽  
Umar Muhammad Gummi ◽  
Shan-bing Lu ◽  
Asiya Muazu

Oil exporting economies were the most hit by the recent oil price shock that spills on the food market in an increasingly volatile macroeconomic environment. This paper examines and compares sub-samples [before crisis <br />(2000 Q1–2013 Q1) and during crisis (2013 Q2–2019 Q4)] as to the impact of oil price on food prices in high- and low-income oil-exporting countries. We found an inverse relationship between oil and food prices in the long run based on full samples and sub-samples in high-income countries. The story is different during the crisis period: in low-income countries and all the countries combined, oil and food prices co-move in the long run as measured by the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our findings suggest that economic structure and uncertain events (crises) dictate the behaviour and relationship between food and oil markets. Food and oil prices may drift away in the short-run, but market forces turn them toward equilibrium in the long-run. Moreover, low-income countries are indifferent in both periods due to limited capacity to balance the increasing demand for and supply of food items.


Accounting ◽  
2021 ◽  
Vol 7 (7) ◽  
pp. 1701-1708
Author(s):  
Hadeel Yaseen ◽  
Ghassan Omet

The Jordanian economy has been a recipient of huge amounts of remittances. Indeed, for more than a decade now, the inflow of this capital has been fluctuating around 10 percent of Gross Domestic Product (GDP). Within this context, the subject matter of remittances has resulted in the development of a myriad of research issues. One of these issues is the impact of remittances on financial development or bank credit to the private sector. This paper looks at the relationship between financial development and remittances in the Jordanian context. Based on the time period 1992-2019, and time series econometric techniques (co-integration and vector auto-regression, among others), this paper examines the impact of remittances on bank credit to the private sector, and on its main sectoral distributions. The estimated results reveal some interesting findings. There is no long-run stable relationship between bank credit to the private sector and remittances. However, there is a stable long-run relationship between credit to individuals (households) and remittances, and between credit to the construction sector and remittances. These conclusions imply that remittances, on average, promote private consumption in general, and residential spending.


2018 ◽  
Vol 45 (8) ◽  
pp. 1236-1249 ◽  
Author(s):  
Abdalla Sirag ◽  
Samira SidAhmed ◽  
Hamisu Sadi Ali

Purpose The effect of foreign direct investment (FDI) on economic growth is widely believed to be contingent on the development of the financial sector. Nevertheless, as the possibility that the effect of financial development on growth being contingent on FDI has been neglected in existing literature, the authors have investigated it in this paper. In general, the purpose of this paper is to examine the effect of financial development and FDI on economic growth in Sudan using annual data from 1970 to 2014. Design/methodology/approach Since most of the macroeconomic variables are subject to unit root problem, the time series data are assessed using unit root and cointegration tests with/without structural break. Moreover, the study uses the fully modified ordinary least squares and the dynamic ordinary least squares techniques to estimate the long-run model. Findings The results of the cointegration tests provide evidence that a long-run relationship exists among variables even after accounting for the structural break. The results show that financial development and FDI are positive and significant in explaining economic growth in Sudan. Financial development is found to be more beneficial to economic growth than FDI. Moreover, the findings reveal that FDI leads to better economic performance through financial development. Interestingly, the findings of the study show that the effect of financial development on economic growth is further enhanced by the inflows of FDI. Research limitations/implications The government should focus on promoting FDI in more productive sectors. In addition, further cooperation with multinational enterprises is needed to increase FDI in the country. Originality/value This is the first paper that empirically examines both the interlinked impact of FDI on growth through financial development and the impact of financial development on economic growth through FDI in Sudan using appropriate econometric methods.


2019 ◽  
Vol 19 (4) ◽  
pp. 319-344
Author(s):  
Emrah Koçak ◽  
Nısfet Uzay

Abstract This paper is the first to examine the linear and nonlinear effect of financial development on income inequality in Turkey over the period of 1980-2013. Financial development is represented by disaggregated and aggregated indicators. In this way, the effects of various financial indicators on income inequality are explained. Maki (2012) structural breaks co-integration test, and Stock and Watson (1993) dynamic ordinary least squares (DOLS) methods are followed for empirical analysis. Finally, the fully modified least squares (FM-OLS) regression analysis method developed by Philips and Hansen (1990) is used for robustness check. The estimation results of the linear relationship indicate that financial development is a mitigating effect on income inequality. These results support the inequality-narrowing hypothesis. The non-linear relationship results show that financial development first increases income inequality but after financial development reaches a certain level, this effect is reversed and financial development reduces income inequality. These results support the Greenwood-Jovanovic hypothesis. All the results strongly suggest that financial development is a mitigating or improving effect on income inequality over the long-run.


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