Association between health expenditures, economic growth and environmental pollution: Long‐run and causality analysis from Asian economies

2021 ◽  
Author(s):  
Samia Nasreen
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Health Expenditures ◽  
Causality Analysis ◽  
Long Run ◽  
Asian Economies

Exports, financial development and economic growth in Pakistan

2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Financial Development ◽  
Error Correction Model ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Causality Test ◽  
Correction Model ◽  
Content Type ◽  
Long Run

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.

scholarly journals The Relative Effects of Economic Growth, Environmental Pollution and Non-Communicable Diseases on Health Expenditures in European Union Countries

2019 ◽  
Vol 16 (24) ◽  
pp. 5115 ◽  
Author(s):  
Daniel Badulescu ◽  
Ramona Simut ◽  
Alina Badulescu ◽  
Andrei-Vlad Badulescu
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Environmental Pollution ◽  
Health Expenditure ◽  
Negative Impact ◽  
Health Expenditures ◽  
Communicable Diseases ◽  
Non Communicable Diseases ◽  
European Union Countries ◽  
Short Run

National and global health policies are increasingly recognizing the key role of the environment in human health development, which is related to its economic and social determinants, such as income level, technical progress, education, quality of jobs, inequality, education or lifestyle. Research has shown that the increase of GDP (Gross Domestic Product) per capita can provide additional funds for health but also for environmental protection. However, often, economic growth is associated with the accelerated degradation of the environment, and this in turn will result in an exponential increase in harmful emissions and will implicitly determine the increasing occurrence of non-communicable diseases (NCDs), mainly cardiovascular diseases, cancers and respiratory diseases. In this paper, we investigate the role and effects of economic growth, environmental pollution and non-communicable diseases on health expenditures, for the case of EU (European Union) countries during 2000–2014. In order to investigate the long-term and the short-term relationship between them, we have employed the Panel Autoregressive Distributed Lag (ARDL) method. Using the Pedroni-Johansen cointegration methods, we found that the variables are cointegrated. The findings of this study show that economic growth is one of the most important factors influencing the health expenditures both in the long- and short-run in all the 28 EU countries. With regards to the influence of CO2 emissions on health expenditure, we have found a negative impact in the short-run and a positive impact on the long-run. We have also introduced an interaction between NCDs and environmental expenditure as independent variable, a product variable. Finally, we have found that in all the three estimated models, the variation in environmental expenditure produces changes in NCDs’ effect on health expenditure.

Development Growth Models for Singapore and Malaysia: A Geweke Causality Analysis

2015 ◽  
Vol 8 (2) ◽  
pp. 165-186 ◽  
Author(s):  
Tan Khee Giap ◽  
Nguyen Le Phuong Anh ◽  
Ye Ye Denise
Keyword(s):  
Economic Growth ◽  
Linear Dependence ◽  
Growth Models ◽  
Growth Dynamics ◽  
Gdp Growth ◽  
Multiple Time ◽  
Causality Analysis ◽  
Content Type ◽  
Real Gdp ◽  
Long Run

Purpose Nearly five decades after undergoing a structural transformation and navigating several external shocks, both Singapore and Malaysia are now grappling with some crucial policy challenges that necessitate a course-correction in order to sustain their growth momentum, going forward. In light of the renewed interest in understanding the growth constraints faced by the two countries, this paper aims to empirically explore the drivers of economic growth in both Singapore and Malaysia, using data from 1975 to 2012. Design/methodology/approach The paper employs a novel empirical approach-the Geweke causality analysis-to investigate the causal drivers of economic growth in Singapore and Malaysia. Intuitively, the Geweke causality analysis helps us understand and measure the linear dependence and feedback between multiple time series variables. To that effect, we perform both a bi-variate as well as a multi-variate causality analysis. Findings The empirical results established using Geweke causality analysis suggest that Malaysia's new development trajectory should lie in rebalancing the economy toward greater domestic demand and building a robust services sector. The results also suggest that Singapore, on the other hand, should embrace a growth model that goes beyond relying heavily on foreign direct investment (FDI) as a source of economic growth as the linear dependence between FDI and real GDP growth appears to be weaker compared to the linear dependence between the remaining variables and the real GDP growth. Originality/value While the traditional growth accounting framework provides useful insights at the aggregate level, there is a growing literature that discusses the importance of sectoral analysis to understand structural transformations in the economies which become important to sustain productivity growth in the long-run. This is immensely relevant in the case of Malaysia and Singapore, as well, especially with the changing policy focus in these countries to overcome structural growth issues. In light of this growing discussion on the importance of understanding the growth dynamics at the sectoral level, this paper presents new empirical evidence on the growth drivers in Singapore and Malaysia with a sectoral focus.

scholarly journals How do Globalization, Technological Change and Employment Impact Economic Growth in Developing Countries? Evidence from Panel Data Analysis

2018 ◽  
Vol 1 (1) ◽  
pp. 39-49
Author(s):  
Fatima Saleem ◽  
Fatima Farooq ◽  
Imran Sharif Chaudhry ◽  
Noreen Safdar
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Causality Analysis ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
The Impact

This study aims at exploring the impact of globalization, technology and employment on economic growth of developing economies. This study also observed the long-run, short-run and causality relationships between globalization, technological innovations, employment, and economic growth for 20 selected developing countries covering the data for period of 1991 to 2017.  Since stationary of variables is examined through ADF tests, Levin-Lin-Chu test, and IM-Pesaran-Shin test and resulted with mixed order of integration, Panel ARDL estimation techniques are employed to measure the long run effects of these variables on growth of selected economies. Dumitrescu-Hurlin panel Granger Causality test was applied for causality analysis. All variables have strong positive and significant relationship with growth. This study concluded that knowledge and research-based education have a key role in promoting long-run growth as evident from the ‘New growth theory’ of Romer. On the basis of these results, it is suggested that knowledge and research-based education should be promoted and export-oriented policies should also be encouraged to attain benefits of trade openness and globalization for accelerating economic growth on sustainable basis.

scholarly journals Impact of Economic Reforms, FDI and Imports on GDP: Trends and Regression Analysis

2018 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Time Series Data ◽  
Economic Reforms ◽  
Chinese Economy ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Integration Test

The aim of this study is to explore the causal relationship between the exports, imports and economic growth of Chinese economy using time series data running from 1978 to 2016.Co integration, Granger Causality analysis and Vector Error Correction Mechanism (VECM) has been used in order to test the hypotheses about the presence of causality and co integration among the variables. The co integration test confirmed that exports, imports and GDP are co integrated, indicating an existence of long run equilibrium relationship among the variables and also confirmed by the Johansen co integration test results. The Granger causality test finally confirmed the presence of bi-directional causality between exports, imports and GDP. The study further shows that relative share of china’s exports in world exports has increased significantly after the introduction of economic reforms. Further, the rising exports have also made a significant contribution to the economic growth of Chinese economy due to forward and backward linkages.

scholarly journals Economic growth and quality of institutions in 27 postsocialist economies

2020 ◽  
Vol 47 (4) ◽  
pp. 769-787
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas ◽  
Nikita Solovev
Keyword(s):  
Economic Growth ◽  
Panel Cointegration ◽  
Institutional Quality ◽  
Supporting Evidence ◽  
Causality Analysis ◽  
Content Type ◽  
Long Run ◽  
Quality Of Institutions ◽  
The Relationship

PurposeThe relationship between institutional quality and economic growth is revisited.Design/methodology/approachA panel cointegration methodology and causality analysis are applied to 27 postsocialist economies over the period from 1996 to 2016.FindingsUtilizing the Worldwide Governance Indicators as a means of assessing the quality of institutions, it is found that in the long run, economic growth is positively associated with the rule of law and voice and accountability. In the short run, regulatory quality retains a positive effect, but voice and accountability demonstrate a puzzling negative effect on economic growth that merits further analysis. In exploring the causal dimension of our variables, supporting evidence of the strong links between the quality of institutions and economic growth is provided, hence rendering robust results.Originality/valueTo the best of the authors’ knowledge, it is the first time that an ARDL methodological framework, which addresses potential endogeneity issues, is used to investigate the relationship between institutional quality and growth in the context of postsocialist economies.

Empirical Analysis of the Relationship Between Energy Consumption, CO2 Emissions and Economic Growth in Tunisia

2017 ◽  
Vol 8 (2) ◽  
pp. 79-90 ◽  
Author(s):  
Sana Essaber Jouini ◽  
Etidel Labidi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Output Growth ◽  
Pollutant Emissions ◽  
Series Data ◽  
Causality Analysis ◽  
Significance Level ◽  
Long Run

This paper examines the long run and causal relationship issues between economic growth, energy consumption and carbon emissions by using vector error correction model for the case of Tunisia within 1970-2010. Empirical results using time series data suggest an evidence of a long-run relationship between the variables at 5% significance level in Tunisia. A Granger causality analysis is conducted amongst the variables. The overall results indicate bidirectional causality between energy consumption and CO2 emissions and a unidirectional causality running from pollutant emissions to economic growth. But there is no direct relation between energy consumption and economic growth. Thus, our results reveal that in short term energy conservation policies, such as rationing energy consumption have no effect on the real output growth of Tunisia.

scholarly journals Renewable Energy Consumption and Economic Growth in Nine OECD Countries: Bounds Test Approach and Causality Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Lin Hung-Pin
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Oecd Countries ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Vector Error Correction Models

The purpose of this paper is to investigate the short-run and long-run causality between renewable energy (RE) consumption and economic growth (EG) in nine OECD countries from the period between 1982 and 2011. To examine the linkage, this paper uses the autoregressive distributed lag (ARDL) bounds testing approach of cointegration test and vector error-correction models to test the causal relationship between variables. The co-integration and causal relationships are found in five countries—United States of America (USA), Japan, Germany, Italy, and United Kingdom (UK). The overall results indicate that (1) a short-run unidirectional causality runs from EG to RE in Italy and UK; (2) long-run unidirectional causalities run from RE to EG for Germany, Italy, and UK; (3) a long-run unidirectional causality runs from EG to RE in USA, and Japan; (4) both long-run and strong unidirectional causalities run from RE to EG for Germany and UK; and (5) Finally, both long-run and strong unidirectional causalities run from EG to RE in only USA. Further evidence reveals that policies for renewable energy conservation may have no impact on economic growth in France, Denmark, Portugal, and Spain.

Whether Economic Growth Deteriorates Environmental Quality? — Evidence from Major Cities in China

2012 ◽  
Vol 524-527 ◽  
pp. 3538-3541
Author(s):  
Fei Liu ◽  
Ji Xiang Zhu ◽  
Yong Hong Li
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Data Model ◽  
Panel Data Model ◽  
Environmental Condition ◽  
Individual Country ◽  
Economy Growth ◽  
Long Run ◽  
Cross Country ◽  
Quality Evidence

Recent studies about the relation between economic growth and environmental pollution are mainly focused on cross-country or the long-run change in an individual country, but give little consideration to the heterogeneity internal one country, which no one can afford to neglect. Making use of the data of 31 major cities from 2005 to 2010 in the case of China, this paper analyzes the economy-environment relation by employing Panel Data Model. The results indicate that there is an inverted N-shaped rather than the inverted S-shaped relation between the economic growth and the environmental degradation in the major cities, whereas the relation between the environmental pollution degree and the proportion of the second industry is positive and statistically significant. It is suggest that there is no uniform environmental policy to the different cities, and every city can develop its comparative advantage to increase the economy growth and improve the environmental condition at the same time.

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