Capital sudden stop, savings rate difference and economic growth: evidence based on 49 emerging economies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu Ma ◽  
Jun Shi ◽  
Qiang Ji

PurposeThis paper empirically tests the impact of capital sudden stops on the economic growth using quarterly data from 49 emerging economies.Design/methodology/approachThis paper applies the GMM dynamic panel estimation method.FindingsThe results show that capital sudden stops can significantly inhibit the economic growth of emerging economies. It was also found that the inhibiting effect on low-savings-rate economies is greater, but less on high-savings-rate economies. In addition, this paper examined the impact of different types of capital sudden stops on economic growth in emerging economies. The results reveal that the impact of sudden stops of direct investment is not significant.Originality/valueLittle existing research considers the impact of capital sudden stops through the perspective of savings rate differences. Based on our research using the GMM model, we argue that capital sudden stops will lead to a decline in investment kinetic energy in emerging economies, and therefore, a decline in economic growth. There are also few studies on the economic effects of capital sudden stops. And the time series model is generally used in a single economy. This paper, however, uses the data from 49 emerging economies and takes the panel approach to more comprehensively study the capital sudden stops of emerging economies.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dolly Gaur ◽  
Dipti Ranjan Mohapatra

PurposeIn recent years, the Indian banking sector is facing a major cause of concern in the form of Nonperforming Assets (NPA), and the priority sector lending (PSL) is generally recognized as the major factor contributing to it. Thus, the present study has been carried out with the objective of examining the relationship between priority sector lending and GDP growth. Thereafter, the role of PSL and certain other bank-specific, industry-specific and macroeconomic variables in determining NPA has been studied.Design/methodology/approachTaking a sample of 45 scheduled commercial banks, the study has been carried out for 14 years (2004–2018). Granger causality between PSL and GDP has been examined by applying the Dumitrescu-Hurlin test. For the purpose of investigating the impact of PSL and other determinants on NPA, both static and dynamic panel regression have been performed. Under the dynamic panel, system generalized methods of moments (S-GMM) approach has been followed.FindingsThe findings show that there exists a positive correlation and bidirectional causal relationship between PSL and GDP, which implies that PSL brings additional growth for the whole economy. In addition to it, PSL is found to be insignificant for the NPA ratio, and thus, it can be inferred that credit extended to government-specified sectors does not bring any major increase in the bad loan portfolio of banks.Practical implicationsThe policymakers and bank management can take a cue from the findings of this study to decrease the exposure to loan nonrepayment issue. The priority sectors are in need of formal credit for their growth, and since the rising population of the country can find employment in these sectors, banks should meet their credit needs while securing their position with regard to the NPA problem.Originality/valueThe issue of NPA determinants, and in particular, the contribution of priority sector lending in it has not been much explored for Indian banking sector. Also, the present study adds to the literature by using the causality approach for examining the importance of directed credit schemes for economic growth.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqib Sarwar ◽  
Muhammad Asif Khan ◽  
Zahid Sarwar ◽  
Wajid Khan

Purpose This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies. Design/methodology/approach Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects. Findings The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly. Research limitations/implications The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017. Originality/value This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carole Ibrahim

Purpose The purpose of this paper is to empirically examine the effect of corruption on public debt and economic growth in 20 developing countries over the period 1996-2018. Design/methodology/approach This study makes use of the autoregressive distributed lag (ARDL) model to detect the long-term relationships, on the one hand, between corruption and public debt and, on the other hand, between corruption and economic growth. Findings The empirical results reveal that corruption increases the debt-to-GDP ratio and that the interactions between corruption and public revenues and between corruption and public spending have a positive influence on public debt in the long run. The estimations also show that high corruption hampers long-term economic growth and increases the negative effect of public debt on economic growth in developing countries. Originality/value While corruption is a prevalent phenomenon in most developing countries, the literature still lacks empirical examination of its economic effects. This study fills this gap with the aim of highlighting that high corruption hinders development in developing nations. This study also examines the impact of the interactions between corruption and components of the fiscal balance on public debt. Moreover, while the existing empirical literature uses regression techniques, this paper uses a panel ARDL approach to detect the long-term effects of corruption.


2015 ◽  
Vol 14 (4) ◽  
pp. 363-381 ◽  
Author(s):  
Pramod Kumar Naik ◽  
Puja Padhi

Purpose – The purpose of this study is to empirically examine the impact of stock market development on the economic growth for a panel of 27 emerging economies using annual data over the period from 1995 to 2012. Design/methodology/approach – A second-generation panel unit root test developed by Pesaran (2007) has been used to test the stationary properties of the data series. To achieve the study objectives and to mitigate the endogeneity problem that exists in the given model, the authors use a dynamic panel “system GMM” estimator. The authors also use a heterogeneous panel causality test proposed by Dumitrescu and Hurlin (2012) to examine the direction of causality among the variables. Findings – The empirical findings indicate that stock market development significantly contributes to economic growth. Further, a unidirectional causality running from stock market development to economic growth has been found. This finding is consistent with the supply-leading hypothesis. Besides stock market development, it is also evident that macroeconomic variables, such as investment ratio, trade openness and exchange rates, have significant impact on economic growth. Research limitations/implications – The findings suggest that a well-functioning stock market, a more globalized economy and increasing aggregate investment can potentially foster the economic growth in those emerging economies. Originality/value – Unlike other studies, this study constructs three alternate composite indices along with the individual indicators of stock market development and applies robust panel econometric techniques to establish more reliable results.


Author(s):  
В. Мартынов ◽  
V. Martynov

This paper examines the impact of acquiring on the growth of the economy and its place in a new technological way. The article illustrates the correlation of GDP from acquiring. The economic effects of acquiring and their influence on the development of open innovation in the modern world are presented. Key indicators and acquiring of payment cards of different types in the dynamics of recent years are analyzed. The author considers sub-optimal balance between the cash and non-cash means of payment and three dimensions to exit this equilibrium.


2021 ◽  
pp. 097508782098717
Author(s):  
Hammed Agboola Yusuf ◽  
Luqman Olanrewaju Afolabi ◽  
Waliu Olawale Shittu ◽  
Kafilah Lola Gold ◽  
Murtala Muhammad

This article examines the impact of institutional quality on bilateral trade flow between Malaysia and selected 25 African Organisation of Islamic Cooperation (OIC) member countries. Four institutional qualities were selected from World Governance Indicators with other trade predictors from the period from 1985 to 2016. Using gravity model of trade and Poisson pseudo-maximum likelihood estimation method (PPML) technique, the results confirm that government effectiveness, regulatory quality and political stability have an adverse effect on bilateral trade flow among the OIC countries in Africa. On the other hand, these institutional quality variables were considered as a strength for Malaysian economic growth. Therefore, better institutional quality reforms are needed among OIC member countries in Africa in order to accelerate trade, economic growth and development in their region.


Kybernetes ◽  
2020 ◽  
Vol 49 (11) ◽  
pp. 2713-2735 ◽  
Author(s):  
Xiaomin Fan ◽  
Yingzhi Xu ◽  
Yongqing Nan ◽  
Baoli Li ◽  
Haiya Cai

Purpose The purpose of this paper is to analyse the impact of high-speed railway (HSR) on industrial pollution emissions using the data for 285 prefecture-level cities in China from 2004 to 2016. Design/methodology/approach The research method used in this paper is the multi-period difference-in-differences (DID) model, which is an effective policy effect assessment method. To further address the issue of endogeneity, the DID integrated with the propensity score matching (PSM-DID) approach is employed to eliminate the potential self-selection bias. Findings The results show that the HSR has significantly reduced industrial pollution emissions, which is validated by several robustness tests. Compared with peripheral cities, HSR exerts a greater impact on industrial pollution emissions in central cities. In addition, the mechanism test reveals that the optimised allocation of inter-city industries is an important channel for HSR to mitigate industrial pollution emissions, and this is closely related to the location of HSR stations. Originality/value Previous studies have paid more attention to evaluating the economic effects of HSR, however, most of these studies overlook its environmental effects. Consequently, the impact of HSR on industrial pollution emissions is led by using multi-period DID models in this paper, in which the environmental effects are measured. The results of this paper can provide a reference for the pollution reduction policies and also the coordinated development of economic growth and environmental quality.


2016 ◽  
Vol 26 (4) ◽  
pp. 517-542 ◽  
Author(s):  
Fadzlan Sufian ◽  
Fakarudin Kamarudin

Purpose This paper aims to provide empirical evidence for the impact globalization has had on the performance of the banking sector in South Africa. In addition, this study also investigates bank-specific characteristics and macroeconomic conditions that may influence the performance of the banking sector. Design/methodology/approach The authors use data collected for all commercial banks in South Africa between 1998 and 2012. The ratio of return on assets was used to measure bank performance. They then used the dynamic panel regression with the generalized method of moments as an estimation method to investigate the potential determinants and the impact of globalization on bank performance. Findings Positive impact of greater economic integration and trade movements of the host country, while greater social globalization in the host country tends to exert negative influence on bank profitability. The results show that banks originating from the relatively more economically globalized countries tend to perform better, while banks headquartered in countries with greater social and political globalizations tend to exhibit lower profitability levels. Originality/value An empirical model was developed that allows for the performance of multinational banks to depend on internal and external factors. Moreover, unlike the previous studies on bank performance, in this empirical analysis, we control for the different dimensions of globalizations while taking into account the origins of the multinational banks. The procedure allows us to test for the home field, the liability of foreignness and global advantage hypotheses to deduce further insights into the prospects of banking across borders.


2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.


2016 ◽  
Vol 20 (4) ◽  
pp. 195-198 ◽  
Author(s):  
Richard Seymour ◽  
Michael Murray

Purpose There is increasing evidence that participation in various art forms can be beneficial for health and well-being. The purpose of this paper is to examine the impact of participating in a poetry reading group on a group of older residents of an assisted living facility. Design/methodology/approach Six poetry sessions, each on a different theme, were conducted with a group of volunteer participants. These sessions, those of pre- and post-study focus groups and interviews with the group facilitator and staff contact were audio-recorded. The transcripts of the recordings were then subjected to a thematic analysis. Findings Overall the participants were enthused by the opportunity to participate in the project and the benefits were confirmed by the support staff. In addition, reading poetry on particular themes promoted different types of discussion. Research limitations/implications The number of participants in this study was small and the study was conducted over a short period of time. Practical implications This paper confirms the impact of poetry reading for older people. The challenge is to explore this impact in more detail and over community as well as residential settings. Originality/value This paper is the first empirical report on the value of poetry reading for older people.


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