scholarly journals CONSTRUCTING A COMPETITIVENESS INDEX FOR STATES IN MALAYSIA: A PANEL DATA ANALYSIS

2021 ◽  
Vol 25 ◽  
pp. 1-24
Author(s):  
Chee Ann Lim ◽  
Ku Azam Tuan Lonik ◽  
Radziah Adam
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Environmental Quality ◽  
Economic Performance ◽  
Indicator System ◽  
Three Dimensions ◽  
Social Aspects ◽  
Kuala Lumpur ◽  
Domestic Security ◽  
Competitiveness Index

This study investigated the competitiveness index of the fourteen states in Malaysia. It also examined various aspects of competitiveness among states and vital elements that might influence competitiveness by utilizing a three-level hierarchical indicator system encompassing economic, social and environmental factors. An equally weighted index was applied to scrutinize the three dimensions. The index output was based on 24 indicators across six components. The critical components were economic performance, economic structure, marketization and openness, social aspects, domestic security and environmental quality. This study also examined the relationship between the components of competitiveness and economic growth for states in Malaysia by using the panel data estimation approach; a method which utilised data sets for fourteen states over a period extending from 2005 to 2016. Data were then analysed using a panel data regression model. Overall, findings showed that Selangor, where Kuala Lumpur the national capital was situated, was the most competitive state. In 2016, Kuala Lumpur was the best performer in terms of economic performance, social aspects and environmental quality. It was also found that domestic security and environmental quality were significant determinants of economic growth, which had enhanced competitiveness among states in Malaysia. A state’s performance according to the three dimensions varied greatly as there were different factors of specializations for each state. This study has proposed that each state in the federation possessed a significant economic performance, as well as substantial social and environmental development to ensure and sustain their respective state of competitiveness.

Islamic Banking and Economic Growth

2020 ◽  
pp. 86-114
Author(s):  
Bilal Kchouri ◽  
Thorsten Lehnert
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Economic Performance ◽  
Fixed Effects ◽  
Banking Industry ◽  
Financial Structure ◽  
Islamic Banking ◽  
Total Size ◽  
Macroeconomic Factors

This chapter measures the effect of growth in Islamic Banking assets on economic performance in a sample of 32 developed and developing countries based on data for the period 2000-2017. The findings show that, although Islamic banks are considered small relative to the total size of the financial sector, these are positively correlated with economic growth even after controlling for financial structure, macroeconomic factors and other variables. The outcome is robust across different econometric specifications like pooling OLS, fixed effects, and panel data with over-identified GMM. The results are confirmed on two different indicators of Islamic banking and hold for different periods. Empirical findings confirm theoretical expectations that although Islamic banking still represents a relatively very small share of the financial system, it is growing and generating an economic boost to ensure a stable banking industry.

scholarly journals The policy efficiency evaluation of the Beijing–Tianjin–Hebei regional government guidance fund based on the entropy method

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jing Cui ◽  
Qiaoqiao Liang ◽  
Xianan Yin ◽  
Jun Zhang ◽  
Hongyan Yan
Keyword(s):  
Economic Performance ◽  
Strong Support ◽  
Indicator System ◽  
Economic Transformation ◽  
Entropy Method ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Efficiency Evaluation ◽  
Regional Government ◽  
The Government

Abstract With China's strong support for innovation and development, the policies of government guidance funds are an important driving force for leading innovation and economic transformation, and the effect of its related policies is of great significance. This paper selects 518 policies related to government guidance funds in the Beijing–Tianjin–Hebei region from 2005 to 2018 as the research object and constructs a policy efficiency evaluation indicator system from three dimensions of policy intensity, policy objectives and measures. The analytic hierarchy process (AHP) and entropy method are used to weight the output level of policy innovation performance and economic performance of government guidance funds, and grey relational analysis (GRA) is used to measure the relationship between policies of government guidance funds and innovation performance and economic performance, and corresponding policy recommendations based on the research results. The results of the research show that the policy efficiency of the government guidance funds in Tianjin and Hebei is relatively high, and the policy efficiency of the Beijing government guidance funds needs to be improved. In general, the policy efficiency of the government guidance funds needs to be further improved.

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 Innovations and ICT: Do They Favour Economic Growth and Environmental Quality?

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1431
Author(s):  
Carmen Díaz-Roldán ◽  
María del Carmen Ramos-Herrera
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Environmental Quality ◽  
Technological Progress ◽  
Information And Communication ◽  
Producer Prices ◽  
Per Capita ◽  
Sustainable Economic Growth

In this paper, we examine whether innovation and information and communication technology (ICT) contribute to reducing producer prices, thus promoting economic growth. We also check whether the contributions of ICT enhance environmental quality, leading to sustainable economic growth. To this end, we apply panel data techniques to the 27 EU countries over the period of recovery from the financial crisis. Our results suggest that technological progress leads to a significant reduction in producer prices. Moreover, controlling for some macroeconomics factors, ICT fosters per capita economic growth in the European countries. Finally, we found that the higher the ICT employment is, the lower greenhouse gas emissions are.

scholarly journals Statistical Modeling of Institutional Transformations Using Panel Data

2017 ◽  
pp. 13-19
Author(s):  
О. V. Zhurauliou
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Property Rights ◽  
Human Development ◽  
Statistical Modeling ◽  
Economic Performance ◽  
Statistical Significance ◽  
Transformation Process ◽  
Key Factor ◽  
Development Trajectory

The article is devoted to the important problem of assessment of institutional transformation by modeling of panel data. It is demonstrated that multidimensional statistical methods allow for the reasonable selection of the probabilistic statistical model that fits best to output statistical data and description of the real behavior of the studied set of objects than the great many other similar models, and for the assessment of reliability and accuracy of conclusions made on the basis of limited statistical information. The proposed theoretical model reveals the statistical impact of social globalization, openness of trade, property rights, human development and share of services in GDP on economic growth in countries differentiated by economic performance. Of the institutional factors with an impact on economic growth, found by the study, statistically significant are both traditional factors (index of property right, GDP by PPP) and ones implicit in the globalizing economy (Internet users, index of social globalization, share of services in GDP). It allows for the conclusion that economic growth in countries differentiated by economic performance is conditional on institutes. Property rights still remain to be the key factor for effective institutes, and their impact determines the future development trajectory. The significant role belongs to openness of trade, with its positive statistical impact on economic growth. The positive statistical impact of social globalization is also identified. Statistical significance of the growing share of services in GDP is demonstrated, which is an attribute of globalization. Special emphasis in statistical modeling is made on the human factor measured by human development index. This index has supreme significance in the complex process of transition from extractive institutes to inclusive ones, because the effectiveness of transformation process depends on the human.

scholarly journals The Impact of Workers’ Remittances on Economic Growth: Panel Data Approach for Selected Country Group

2018 ◽  
Vol 6 (1) ◽  
pp. 45
Author(s):  
Burçak Polat
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Economic Performance ◽  
Panel Data Analysis ◽  
Recent Decade ◽  
Economic Growth Rate ◽  
The World ◽  
Per Capita ◽  
Economic Growth Rates ◽  
The Impact

Recent decade has witnessed the growing importance of remittances as a source of foreign income for many developing countries. Thus, as the value of remittances around the world increases, many researchers attempt to analyze the remittances’ effects on economic performance. Yet, real effect of remittances on economic growth rate is still controversial issue in the literature. Therefore, main objective of this study is to analyze the linkage between economic growth rates and remittance inflows into eight largest recipient countries of the global remittances by employing panel data analysis for the period 1990-2015. Our findings reveal that there is no significant relationship between remittances and growth. Yet, the study has empirically proved that growth is positively associated with gross capital formations and GDP per capita while it is negatively related with inflation and openness index.

scholarly journals The Effect of Globalization on Economic Growth: Panel Data Analysis for ASEAN Countries

2017 ◽  
Author(s):  
Mesut Savrul ◽  
Ahmet İncekara
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
South Asian ◽  
Panel Data Analysis ◽  
Three Dimensions ◽  
National Accounts ◽  
Asean Countries ◽  
Economic Institute ◽  
Better Than

Globalization is generally expressed as the integration of countries into the external world in economic, social and political contexts. One of the most important indicators of the level of development of a country is the economic growth performance of the mentioned country. It is therefore important to examine whether the globalization process affects economic growth. Although both the developing countries and the developing ones are deeply affected by the globalization process, it's clearly visible that developing South Asian economies get use of globalization better than many other regions of the world by implementing successful policy planning and policy implementations. In this framework, this study investigates the effect of globalization on economic growth of the member countries of ASEAN. The data used in the study is obtained from globalization index of KOF Swiss Economic Institute and national accounts database of UNCTAD. GDP and three dimensions of globalization variables of the ASEAN countries are evaluated using panel data analysis within the scope of study. The results of the analysis show that globalization has a significant effect on economic growth of the member countries of the ASEAN.

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