Developing a competitiveness index at sub-national level for India: an economic growth measure

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nirmalkumar Singh Moirangthem ◽  
Barnali Nag
Keyword(s):  
Economic Growth ◽  
Longitudinal Study ◽  
Panel Data ◽  
Regional Growth ◽  
Generalized Method Of Moments ◽  
Regional Competitiveness ◽  
Regional Economic ◽  
Content Type ◽  
Economic Disparity ◽  
Competitiveness Index

PurposeThe objective of this study is threefold–first, to develop a Regional Competitiveness Index (RCI) for measuring competitiveness of sub-national regions for India; second, to test this index for its ability to explain regional growth, which validates usage and applicability of this index; and third, to further investigate if the competitiveness of states is in turn caused by economic growth, i.e. it is tested if there is a bidirectional causality between competitiveness and regional growth.Design/methodology/approachThe data of indicators used in the index are from sources available freely in public domain. The competitiveness index is constructed using equal weightage supported by principal component analysis (PCA) technique. 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 (GMMs) is used for this dynamic regression estimation.FindingsBased on RCI score, states have been ranked and through rank analysis, the authors observe the performance status of these sub-national regions and are able to categorize them as improving, no change or deteriorating in regional competitiveness. Using the GMM estimation, the association between RCI and economic growth is found to be significant at 10% level. This shows that regional competitiveness as captured through the RCI score is able to explain regional economic growth and economic disparity among the sub-national units. Further, that RCI score is found to Granger-cause growth, while growth does not lead to better RCI scores. This establishes the usefulness of RCI as an important policy variable to compare states and provide direction for sectoral reforms.Research limitations/implicationsThe limitations of the study include (1) broad assumption that these sub-national regions belong to a uniform macro-economic and technology environment, and (2) data constraints as it is a longitudinal study. The study implies that the composite index could capture differences in regional competitiveness explaining regional economic disparity and that competitiveness causes higher economic growth and not vice versa.Practical implicationsThe RCI score can prove to be a useful indicator of economic performance of different states and can be used by national and state policymakers to compare and assess regional disparity among different states. The pillar-wise scores will be useful for in-depth study of weakness and strength of the sub-national territories.Originality/valueConstruction of an RCI for sub-national territories and analysis of panel data for longitudinal study of ten years is unique in the regional competitiveness literature.

scholarly journals The nature of publicly funded innovation and implications for regional growth

2018 ◽  
Vol 28 (1) ◽  
pp. 6-21 ◽  
Author(s):  
Chay Brooks ◽  
Cristian Gherhes ◽  
Tim Vorley ◽  
Nick Williams
Keyword(s):  
Economic Growth ◽  
Business Model ◽  
Regional Growth ◽  
Business Model Innovation ◽  
Regional Economic Growth ◽  
City Region ◽  
Regional Innovation ◽  
Regional Economic ◽  
Content Type ◽  
The Impact

Purpose The aim of this paper is to unpack the nature of business innovation and understand the impact on regional innovation and competitiveness. Design/methodology/approach The paper is based on a qualitative study of Advanced Manufacturing and Advanced Materials businesses in the Sheffield City Region (UK). Interviews were conducted with 23 firms in exploring how innovation in the firm translates to innovation-led regional economic growth. Findings The paper demonstrates that there is a tendency of owner managers to focus on innovation in terms of the development of new products, processes and/or services. Many of the businesses interviewed were technologically innovative, yet there was little evidence of wider business model innovation. This, the authors conclude, stymies regional innovation and with it regional economic growth. Research limitations/implications This study is based on a case study of the Sheffield City Region and is not generalizable, but offers insights into the nature of business model innovation which are valuable in generating questions for further research. Practical implications The paper highlights the need to think of innovation in broader terms and the scope of business model innovation to not only improve the performance of firms but also regional economic growth. Originality/value Business model innovation is a growing domain of the literature, and this paper highlights how narrow interpretations of innovation may serve to limit growth business growth, and with it regional economic growth.

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 governance practices and capital structure decisions: the moderating effect of gender diversity

2020 ◽  
Vol 20 (5) ◽  
pp. 939-964
Author(s):  
Mohammad A.A Zaid ◽  
Man Wang ◽  
Sara T.F. Abuhijleh ◽  
Ayman Issa ◽  
Mohammed W.A. Saleh ◽  
...  
Keyword(s):  
Corporate Governance ◽  
Panel Data ◽  
Capital Structure ◽  
Generalized Method Of Moments ◽  
Gender Diversity ◽  
Business Environment ◽  
Board Structure ◽  
Content Type ◽  
Financing Decisions ◽  
The Impact

Purpose Motivated by the agency theory, this study aims to empirically examine the nexus between board attributes and a firm’s financing decisions of non-financial listed firms in Palestine and how the previous relationship is moderated and shaped by the level of gender diversity. Design/methodology/approach Multiple regression analysis on a panel data was used. Further, we applied three different approaches of static panel data “pooled OLS, fixed effect and random effect.” Fixed-effects estimator was selected as the optimal and most appropriate model. In addition, to control for the potential endogeneity problem and to profoundly analyze the study data, the authors perform the one-step system generalized method of moments (GMM) estimator. Dynamic panel GMM specification was superior in generating robust findings. Findings The findings clearly unveil that all explanatory variables in the study model have a significant influence on the firm’s financing decisions. Moreover, the results report that the impact of board size and board independence are more positive under conditions of a high level of gender diversity, whereas the influence of CEO duality on the firm’s leverage level turned from negative to positive. In a nutshell, gender diversity moderates the effect of board structure on a firm’s financing decisions. Research limitations/implications This study was restricted to one institutional context (Palestine); therefore, the results reflect the attributes of the Palestinian business environment. In this vein, it is possible to generate different findings in other countries, particularly in developed markets. Practical implications The findings of this study can draw responsible parties and policymakers’ attention in developing countries to introduce and contextualize new mechanisms that can lead to better monitoring process and help firms in attracting better resources and establishing an optimal capital structure. For instance, entities should mandate a minimum quota for the proportion of women incorporation in boardrooms. Originality/value This study provides empirical evidence on the moderating role of gender diversity on the effect of board structure on firm’s financing decisions, something that was predominantly neglected by the earlier studies and has not yet examined by ancestors. Thereby, to protrude nuanced understanding of this novel and unprecedented idea, this study thoroughly bridges this research gap and contributes practically and theoretically to the existing corporate governance–capital structure literature.

Government spending shocks and economic growth: additional evidence from cyclical behavior of fiscal policy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olumide Olusegun Olaoye ◽  
Ukafor Ukafor Okorie ◽  
Oluwatosin Odunayo Eluwole ◽  
Mahmood Butt Fawwad
Keyword(s):  
Economic Growth ◽  
Business Cycle ◽  
Government Spending ◽  
Generalized Method Of Moments ◽  
The State ◽  
Fiscal Policies ◽  
Asymmetric Effect ◽  
Content Type ◽  
Spending Shocks ◽  
The Business Cycle

PurposeThis study examines the asymmetric effect of government spending on economic growth in Nigeria over the period 1980–2017. Specifically, this study investigates whether the response of economic growth to government spending shocks differs according to the nature of shocks on them. In addition, the authors examine whether the stabilizing effects of fiscal policies are dependent on the state of the business cycle.Design/methodology/approachThe study adopts the linear fiscal reaction function in addition to the nonlinear regression model of Hatemi-J (2011, 2012), Granger and Yoon (2002), which allows us to separate negative shocks from positive shocks to government spending. Similarly, the authors adopt the generalized method of moments (GMM) techniques of Hansen (1982) to account for simultaneity and endogeneity problems inherent in dynamic model.FindingsThe authors’ findings reveal that there is evidence of asymmetry in the government spending–economic growth nexus in Nigeria over the period of study. Specifically, the authors find that the response of economic growth to government spending shocks differs according to the nature of shocks on them. More specifically, the study established that the stabilizing effects of fiscal policies are dependent on the state of the business cycle.Originality/valueUnlike the traditional method of modeling asymmetry, which adopts the simple inclusion of a squared government spending term or by the inclusion of a cubic government spending term, the model adopted in this study allows us to model shocks and show how the responses of economic growth to government expenditure differ according to the nature of shocks on them.

Illusions of Clustering: A Systematic Evaluation on the Effects of Clusters on Regional Economic Performance in Korea

2021 ◽  
pp. 016001762110187
Author(s):  
Hyunha Shin ◽  
Junseok Hwang
Keyword(s):  
Economic Growth ◽  
Economic Performance ◽  
Local Governments ◽  
Regression Models ◽  
Regional Growth ◽  
Systematic Evaluation ◽  
Regional Innovation ◽  
Regional Economic ◽  
Pca Method ◽  
Regional Economic Performance

Korea has pursued a cluster-based policy to increase industrial competitiveness and to alleviate development gaps between the regions. However, local governments have often oversupplied clusters without an objective examination of the demands and conditions in the regions. Based on these concerns, this study analyses effects and interdependencies of factors related to regional innovation and growth in Korea. Employing a PCA method and a GLS regression models on panel data, we generated three composite factors, social, capacity, and clustering, and estimated their effects on regional economic performance. The results show that it is important to have a favorable socio-economic setting to foster growth by clusters. In addition, cluster-based policies may have weaker effects than expected, because the effect of R&D capacity on regional growth was stronger and longer lasting. Finally, some specific elements that most affected economic growth in Korea’s regions are identified. The overall results indicate favorable environments should be established beforehand to foster regional growth with clusters, which confirms “jobs follow people.”

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

Bank lending channel and banking sector efficiency: panel data of Egypt

2018 ◽  
Vol 13 (5) ◽  
pp. 1291-1310 ◽  
Author(s):  
Mohamed Aseel Shokr ◽  
Anwar Al-Gasaymeh
Keyword(s):  
Monetary Policy ◽  
Panel Data ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Bank Lending ◽  
Bank Loan ◽  
Bank Lending Channel ◽  
Bank Efficiency ◽  
Content Type ◽  
Lending Channel

Purpose The purpose of this paper is to examine the relevance of the bank lending channel (BLC) of monetary policy and the bank efficiency in Egypt. Design/methodology/approach This paper examines the effectiveness of bank lending channel using generalized method of moments GMM model during the period from 1996 to 2014. Also, it uses stochastic frontier approach (SFA) to examine the bank efficiency in Egypt. Findings This study supports the relevance of the BLC using panel data. Moreover, applying SFA, this paper computes cost efficiency taking account of both time and country effects directly. The finding suggests that banks with low inflation and high GDP tend to perform more efficiently. Research limitations/implications The limitation of the study is examining one country only. Practical implications The finding signals that the Central Bank of Egypt (CBE) should adjust interest rate in order to stabilize the bank loan supply. Social implications It is important for the CBE and Egyptian banks because it highlights the importance of BLC. Originality/value It examines one channel of monetary policy and bank efficiency in Egypt.

scholarly journals Impact of foreign direct investment, remittances and official development assistance on economic growth: panel data approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amna Zardoub ◽  
Faouzi Sboui
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Development Assistance ◽  
Business Environment ◽  
Official Development Assistance ◽  
Financial Flows ◽  
Content Type

PurposeGlobalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – FDI, remittances and official development assistance – can be a key factor in the development of the economy. The subject of this article is to analyses the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been employed. As part of this work, an attempt was made to use a panel data approach. The results indicate ambiguous effects and confirm the results of previous work.Design/methodology/approachThe authors seek to study the effect of foreign direct investment, remittances and official development assistance (ODA) and some control variables i.e. domestic credit, life expectancy, gross fixed capital formation (GFCF), inflation and three institutional factors on economic growth in developing countries by adopting the panel data methodology. Then, the authors will discuss empirical tests to assess the econometric relevance of the model specification before presenting the analysis of the results and their interpretations that lead to economic policy implications. As part of this work, the authors have rolled panel data for developing countries at an annual frequency during the period from 1990 to 2016. In a first stage of empirical analysis, the authors will carry out a technical study of the heterogeneity test of the individual fixed effects of the countries. This kind of analysis makes it possible to identify the problems retained in the specific choice of econometric modeling to be undertaken in the specificities of the panel data.FindingsThe empirical results validate the hypotheses put forward and indicate the evidence of an ambiguous effect of financial flows on economic growth. The empirical findings from this analysis suggest the use of economic-type solutions to resolve some of the shortcomings encountered in terms of unexpected effects. Governments in these countries should improve the business environment by establishing a framework that further encourages domestic and foreign investment.Originality/valueIn this article, the authors adopt the panel data to study the links between financial flows and economic growth. The authors considered four groups of countries by income.

Corporate cash flow and dividends smoothing: a panel data analysis at Bursa Malaysia

2015 ◽  
Vol 13 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Apedzan Emmanuel Kighir ◽  
Normah Haji Omar ◽  
Norhayati Mohamed
Keyword(s):  
Panel Data ◽  
Cash Flow ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Cash Flows ◽  
Payout Policy ◽  
Free Cash Flow ◽  
Content Type ◽  
Financial Firms ◽  
The Impact

Purpose – The purpose of this paper is to contribute to the debate and find out the impact of cash flow on changes in dividend payout decisions among non-financial firms quoted at Bursa Malaysia as compared to earnings. There has been renewed debate in recent finance and accounting literature concerning the key determinants of changes in dividends payout policy decisions in some jurisdictions. The conclusion in some is that firms base their dividend decisions on cash flows rather than published earnings. Design/methodology/approach – The research made use of panel data from 1999 to 2012 at Bursa Malaysia, using generalized method of moments as the main method of analysis. Findings – The research finds that Malaysia non-financial firms consider current earnings more important than current cash flow while making dividends payout decisions, and prior year cash flows are considered more important in dividends decisions than prior year earnings. We also found support for Jensen (1986) in Malaysia on agency theory, that managers of firms pay dividends from free cash flow to reduce agency conflicts. Practical implications – The research concludes that Malaysian non-financial firms use current earnings and less of current cash flow in making changes in dividends policy. The policy implication is that current earnings are dividends smoothing agents, and the more they are considered in dividends payout decisions, the less of dividends smoothing. Social implications – If dividends smoothing is encouraged, it could lead to dividends-based earnings management. Originality/value – The research is our novel contribution of assisting investors and government in making informed decisions regarding dividends policy in Malaysia.

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