Banking outreach, infrastructure development and regional growth

2017 ◽  
Vol 13 (2) ◽  
pp. 114-127 ◽  
Author(s):  
Harishankar Vidyarthi
Keyword(s):  
Panel Data ◽  
Income Elasticity ◽  
Regional Growth ◽  
Composite Index ◽  
Least Square ◽  
Infrastructure Development ◽  
Indian States ◽  
Content Type ◽  
Data Framework ◽  
Long Run

Purpose The purpose of this paper is to examine the dynamics between banking penetration, infrastructure development and regional growth within a multivariate framework in 23 Indian states over the period 2000-2012. Design/methodology/approach The study employs the multivariate panel data framework to analyze the dynamics between banking penetration, infrastructure development and regional growth within the vector error correction model (VECM) framework. Findings The findings confirm the long-run equilibrium relationship between banking penetration, infrastructure and income for the panel. Long-run income elasticity of infrastructure, estimated using Panel dynamic ordinary least square, is positive, statistically significant and has a value of 0.1531. Further, results show bidirectional causality between income and aggregate infrastructure and unidirectional causality running from banking penetration to income and aggregate infrastructure in the long run. However, there is unidirectional causality running from income to banking penetration and aggregate infrastructure and from banking penetration to aggregate infrastructure in the short run. Research limitations/implications The study mainly concentrates on the 2000-2012 period and includes transportation (roadways and railways), energy (including electricity) and telecommunication as indicators for infrastructure, as the data for these sectors are easily available at the state level. Second, this study employs the panel data technique as it has a shorter data count. Practical implications In order to minimize the existing regional disparity in a developing India, national infrastructure policies should be aimed toward improving the overall access to as well as the quality of infrastructure (existing as well as newly planned). Further, widening the banking outreach at the bottom level may further help the economy as well as the infrastructure sector in mobilizing long-term finances for productive investments, in order to have a balanced, more inclusive and faster growth in the long run. Originality/value The study employs panel unit root, cointegration and Granger causality tests within the panel VECM framework to explore the dynamics among the system variables. Further, the study creates a composite index of infrastructure with principle component analysis.

Financial inclusion in India: an application of TOPSIS

Humanomics ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 328-351 ◽  
Author(s):  
Priyanka Yadav ◽  
Anil Kumar Sharma
Keyword(s):  
Composite Index ◽  
Financial Inclusion ◽  
Critical Parameters ◽  
Infrastructure Development ◽  
Indian States ◽  
Content Type ◽  
Factors Affecting ◽  
Secondary Sources ◽  
Order Preference ◽  
Farmer Suicides

Purpose The purpose of this paper is to combine the critical parameters used to study financial inclusion into a composite index. The idea is to rank Indian states and union territories (UTs) on the basis of this index, determine change in ranks during 2011 to 2014 and identify factors affecting high/low scores on the index. Design/methodology/approach Data for the study were collected from secondary sources published by Reserve Bank of India (RBI) and Central Statistical Organization. Applying technique of order preference by similarity to ideal solution (TOPSIS), a composite multi-dimensional index of financial inclusion (IFI) has been built by using three broad parameters of penetration, availability and usage of banking services. Factors significantly influencing scores of states/UTs on IFI were identified using multiple regression analysis. Findings The value of financial inclusion for India on composite IFI has increased by 0.045 points during the study period. Share of agriculture to state gross domestic product, literacy ratio, population density, infrastructure development and farmer suicides are significant factors affecting financial inclusion. Practical implications The multi-dimensional IFI is a useful tool to measure financial inclusion using several parameters for various states/regions. The index can also be used to compare the performance of states/regions over same/different periods. Originality/value This paper is unique in its attempt to construct multi-dimensional IFI for Indian states/UTs by applying TOPSIS. It will prove useful for future researchers by combining several aspects of financial inclusion into single index.

Volatility of Malaysian conventional and Islamic indices: does financial crisis matter?

2020 ◽  
Vol 11 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Muhamad Abduh
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Composite Index ◽  
Least Square ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Global Financial Crisis ◽  
The Impact

Purpose This study aims to investigate the volatility of conventional and Islamic indices and to explore the impact of the global financial crisis toward the volatility of both markets in Malaysia. Design/methodology/approach The data consist of financial times stock exchange group (FTSE) Bursa Malaysia Kuala Lumpur Composite Index and FTSE Bursa Malaysia Hijrah-Shari‘ah Index covering the period January 2008-October 2014. Generalized autoregressive conditional heteroskedasticity is used to find the volatility of the two markets and an ordinary least square model is then used to investigate the impact of the crisis toward the volatility of those markets. Findings Interestingly, the result shows that Islamic index is less volatile during the crisis compared to the conventional index. Furthermore, the crisis is proven to significantly affect the volatility of conventional index in the short run and Islamic index in the long run. Originality/value This study explores the volatility–financial crisis nexus, especially for the Islamic financial markets, which to the best of the author’s knowledge, is still lacking empirical research which may improve the understanding upon this issue.

Does infrastructure promote exports and foreign direct investment in selected Southeast Asian economies? An application of global infrastructure index

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faheem Ur Rehman ◽  
Abul Ala Noman
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Southeast Asian ◽  
Local Economy ◽  
Least Square ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Asian Economies ◽  
Short Run

PurposeInfrastructure deficiency in Southeast Asian countries is ever growing and touched to a level where it harms the local economy as well as the international sector of the country. The gap between demand and supply for infrastructure is constantly on the upswing. The purpose of this study to investigate the effect of infrastructure on exports and foreign direct investment (FDI) inflow in selected Southeast Asian economies.Design/methodology/approachThis study employs the pooled mean group (PMG) technique to velaborate that how the infrastructure affects export and FDI in the short run and long run during 1990–2018. For cointegration, Pedroni and Kao tests are used. Dynamic ordinary least square (DOLS) and the fully modified least squares (FMOLSs) estimators are employed for robustness check.FindingsThe findings support that aggregate and sub-indices of infrastructure significantly promote the export and FDI inflow in the long run. Also infrastructure, export and FDI inflow are cointegrated in the long run. FMOLS and DOLS found the most robust results.Originality/valueInfrastructure development in determining trade and FDI has established a significant deal of attention in the modern era where a plethora of research studies encourage the opinion that better infrastructure attracts FDI and enhances export. However, this study uses a global infrastructure index, which comprises the sub-indices like transport, telecommunication, energy and financial sector, which gives us a clear picture regarding how Southeast Asia can catch up FDI and export benefits through infrastructure.

Measuring regional competitiveness on the basis of entrepreneurship, technological readiness and quality of institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nirmalkumar Singh Moirangthem ◽  
Barnali Nag
Keyword(s):  
Panel Data ◽  
Generalized Method Of Moments ◽  
Composite Index ◽  
Policy Implications ◽  
Regional Competitiveness ◽  
Indian States ◽  
Content Type ◽  
Technological Readiness ◽  
Relationship Analysis

Purpose Developing composite index-regional entrepreneurship, technological readiness and institution quality index (RETRIQ) of regional entrepreneurship, technology readiness and quality of institution to measure regional competitiveness. This study, also, aims to test econometrically the effectiveness of the index in capturing the economic performance of the sub-national regions. Design/methodology/approach The data of eight indicators used in the index are from sources available freely in the public domain. The causal relationship analysis is done using panel data of 10 years from 2008 to 2017 for 32 Indian states/union territories. The generalized method of moments (GMM) is used for this dynamic regression estimation. Findings Based on RETRIQ, 32 states and union territories of India have ranked. The estimation using GMM shows a significant association between the composite index and economic growth. Research limitations/implications The limitations of the study include the broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment and data constraints as it is a longitudinal study. Then, the implication of the study is that the composite index-RETRIQ could capture differences in regional competitiveness explaining regional economic disparity. Practical implications The index will be useful for policy implications in the assessment of competitiveness disparity. Originality/value It is a composite index of regional entrepreneurship, technological readiness and quality of the institution. The panel data across states along 10 years series is novel.

Corporate social responsibility, visibility, reputation and financial performance: empirical analysis on the moderating and mediating variables from Korea

2017 ◽  
Vol 13 (4) ◽  
pp. 856-871 ◽  
Author(s):  
SeHyun Park
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Financial Performance ◽  
Least Square ◽  
Mediating Effect ◽  
Financial Benefit ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Corporate Social

Purpose This paper aims to substantiate the mechanism through which corporate social responsibility (CSR) affects financial performance (FP). Specifically, this paper focuses on the moderating effect of visibility and mediating effect of reputation in the relationship. Design/methodology/approach This paper investigates 175 Korean firms from 2010 to 2012 that have been listed in the Korean Economic Justice Index for all three years. The hypotheses are tested using various measures of visibility and the Korea’s Most Admired Company index as proxy for reputation. The logistics regression and the ordinary least square are used. Findings This paper initially demonstrates that the visibility moderates the correlation between CSR and reputation. On this finding, it further proves that CSR has positive effect on the long-run FP, measured in the Tobin’s Q, both directly and indirectly through reputation. However, the influence is irrelevant in the short run. In sum, visibility moderates the correlation between CSR and reputation, which mediates the CSR-FP relationship in the long run. Practical implications This paper argues for the importance of visibility in practicing CSR, especially when reputation building and financial benefit is sought through CSR. Originality/value Despite its strategic importance, the visibility of CSR has not been sufficiently studied. Moreover, as scholars have recently suggested that the CSR–FP relationship is rather indirect, there is even more significance in investigating the moderating and mediating variable. Hence, with the intuitive results, this paper lays an integral foundation in the literature.

Macroeconomic determinants of trade openness: empirical investigation of SAARC region

2018 ◽  
Vol 12 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Muhammad Tahir ◽  
SAF Hasnu ◽  
Mario Ruiz Estrada
Keyword(s):  
Regional Cooperation ◽  
Labour Force ◽  
Trade Openness ◽  
Least Square Method ◽  
Least Square ◽  
Content Type ◽  
Currency Exchange ◽  
Long Run ◽  
Macroeconomic Determinants ◽  
The Impact

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.

Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aspasia Vlachvei ◽  
Ourania Notta ◽  
Eirini Koronaki
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Customer Engagement ◽  
Content Type ◽  
Interactive Engagement ◽  
Long Run ◽  
Three Stages ◽  
The Impact

PurposeThis study advances knowledge of interactive marketing strategies by examining the effect of different content types on the three stages of customer engagement (CE) in social media, namely, relationship formation, engagement creation and engagement contribution, for European wine brands.Design/methodology/approachBoth quantitative and qualitative content analyses are conducted; a panel data analysis validates the impact of content type on the three stages of CE in social media.FindingsThe results indicate that remunerative content is the most consistent and promising strategy for enhancing all three stages of CE in social media. Social content motivates consumers to interact with wine brands by commenting, which is the most demanding and time-consuming form of engagement.Practical implicationsThe empirical results offer valuable directions for managers and marketers of European wine brands on creating and maintaining optimal interactive engagement in all three stages with their Facebook communities over the long run.Originality/valueThis study is one of the first to empirically examine, through objective measurement, how content type affects the three stages of CE in social media. The case of European wine brands is examined, over time, through a panel data analysis.

The nexus between economic institutions and unemployment: evidence from sub-Saharan Africa

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullahi Abdulhakeem Kilishi ◽  
Hammed Adesola Adebowale ◽  
Sodiq Abiodun Oladipupo
Keyword(s):  
Panel Data ◽  
Private Investment ◽  
Developed Countries ◽  
Sub Saharan Africa ◽  
Economic Institutions ◽  
Male And Female ◽  
Content Type ◽  
Long Run ◽  
Sub Saharan ◽  
Ssa Countries

Purpose This paper aims to investigate the nexus between economic institutions (EI) and unemployment in sub-Saharan African (SSA) countries. Specifically, the paper examines the impact of aggregate EI and ten different components of institutions on total, male and female unemployment in SSA. Design/methodology/approach The paper used unbalanced panel data of 37 SSA countries covering the period between 1995 and 2018. A dynamic heterogenous panel data model is specified for the study. Two alternative estimation techniques of dynamic fixed effect and pool mean group methods were used to estimate the models. The choice of appropriate method is based on Hausman specification test. Findings The findings reveal that aggregate EI and institutions related to the monetary system, trade flows, government spending and fiscal process significantly lead to less unemployment in the long-run. However, there is no evidence of a significant relationship between EI and unemployment in the short-run. These findings are consistent for total, male and female unemployment, respectively. Practical implications To reduce unemployment significantly in the long run, policymakers in SSA need to build more market-friendly institutions that will incentivize private investment, allow free movement of labour and goods, as well as guarantee a stable macroeconomic environment and efficient fiscal system. Originality/value Most of the existing studies focused on the influence of labour market institutions on unemployment ignoring the effects of other forms of institutions. While available studies on the link between institutions and unemployment used either OECD or other developed countries sample, with scanty evidence from Africa. However, the effects of EI could vary across regions. Thus, generalizing the findings from developed countries for SSA countries and other developing countries may be misleading. Hence, this paper contributes to the existing literature by examining the nexus between different types of EI and unemployment using the SSA sample.

The determinants of profitability in Sharia-compliant corporations: evidence from Jordan

2019 ◽  
Vol 10 (4) ◽  
pp. 546-564 ◽  
Author(s):  
Nizar Mohammad Alsharari ◽  
Turki Raji Alhmoud
Keyword(s):  
Panel Data ◽  
Voluntary Disclosure ◽  
Fixed Effects ◽  
Management Style ◽  
Least Square ◽  
Return On Assets ◽  
Content Type ◽  
Return On Equity ◽  
Independent Variables ◽  
Internal And External Factors

Purpose The purpose of this paper is to examine the determinants of profitability of 28 Sharia-compliant corporations in Jordan over the three-year period of 2013-2015. Design/methodology/approach The two-stage least square (2SLS) regression analysis with fixed effects was conducted using two measures of profitability, namely: return on assets and return on equity. The empirical data were collected from 28 Sharia-compliant corporations in Jordan over the study period. A variety of internal and external factors was used to determine profitability. Findings In general, this analysis of the determinants of profitability for Sharia-compliant corporations confirmed previous findings. Regression findings revealed that previous year profitability, debt ratio, organizational structure, the size of the audit firm and voluntary disclosure to be important determinants of profitability of Sharia-compliant corporations in Jordan from 2013 to 2015. The independent variables of firm size, ownership ratio greater than 5%, liquidity ratio, percentage of non-Jordanian ownership or the age of the firm were not found to significantly influence the profitability of the corporations studied. Research limitations/implications The authors determined that the independent variables selected, with few exceptions, behaved according to expectations. Moreover, the current literature on the influence of management on performance, and thus, profitability, does not consider the philosophy under which business is conducted (a limitation with respect to the type of business conducted). For example, Sharia-compliant and non-Sharia-compliant firms operate under different sets of principles and rules. This variance in business philosophies may have an important bearing on management style, an aspect that has been neglected in the organizational management literature. The panel data from a three-year period was insufficient to validate the consistency of the results; future researchers may increase the length of the study periods to confirm results and increase the robustness of the data collection method. Practical implications The findings from the study have implications that may be functional for businesses, investors and policymakers in their focus on the Sharia-compliant business sector in Jordan. The factors influencing profitability may inform the setting of regulatory policy designed to stabilize and sustain the performance of Sharia-compliant corporations more broadly. Originality/value This study contributes to the growing body of literature on Islamic finance, and can be considered one of a very few that have examined the internal and external determinants of the profitability of Sharia-compliant corporations in a developing country such as Jordan, using panel data.

Dynamics of income diversification and bank performance in India

2019 ◽  
Vol 12 (3) ◽  
pp. 383-407
Author(s):  
Harishankar Vidyarthi
Keyword(s):  
Panel Data ◽  
Performance Indicator ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Bank Performance ◽  
Tobit Regression ◽  
Income Diversification ◽  
Content Type ◽  
Data Framework ◽  
Indian Banks

Purpose The purpose of this paper is to examine the dynamics between income diversification and performance (cost, profit, revenue, technical, pure technical and scale efficiency) for 38 listed Indian banks within panel data framework during the period 2004-2005 to 2015-16. Design/methodology/approach This study computes bank’s cost, profit, revenue, technical, pure technical and scale efficiency within intermediation approach with data envelopment analysis (DEA) as a performance indicator, followed by exploring the association between income diversification and bank performance using truncated Tobit regression within panel data framework. Findings Tobit regression results revealed inverted U-shaped relationship between the income diversification and estimated efficiency parameters for the overall panel. Size and bank intermediation ratio seems to be a major factor in exploiting the potential benefits of income diversification. The author reconfirmed the inverted U-shaped relationship with these efficiency parameters for exclusive subsamples consisting of government-owned and private sector banks. Research limitations/implications Inverted U-shaped relationship between the income diversification and estimated efficiency parameters suggest that banks should go for limited diversification to improve performance. Thus, regulators and banks should pursue limited diversification strategy for improving banking efficiency. Originality/value This study computes bank performance (cost, profit, revenue, technical, pure technical and scale efficiency) based on DEA followed by exploring the association between performance and income diversification for 38 Bombay stock exchange listed banks.

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