Dynamic linkages among energy consumption, environment, health and wealth in BRICS countries: Green growth key to sustainable development

Zaman, Khalid; Abdullah, Alias; Khan, Anwar; Nasir, Mohammad Rusdi Mohd; Hamzah, Tengku Adeline Adura Tengku; Hussain, Saddam

doi:10.1016/j.rser.2015.12.010

Cited by 100 publications

(42 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in order to propose recommendations for policy makers to make China maintain growth rate at middle-to-high level, we need an indicator that can reflect sustained growth. Thus, this paper selects growth rate of per capita GDP as the economic variable (Zaman et al 2016). It is the real growth rate that is deflated by consumer price index.…”

Section: Indicators Selection and Data Sourcementioning

confidence: 99%

Exploring the impact of environmental regulation on economic growth, energy use, and CO2 emissions nexus in China

Zhang

2016

Nat Hazards

View full text Add to dashboard Cite

This research integrates environmental regulation into the classic nexus analysis of economic growth-energy use-CO 2 emissions and explores the interaction relationships of them by using China's time series data from 1978 to 2014. By establishing a VAR model, this paper examines the multivariate causal relationships direction in short and long term and to what extent they affect each other. A series of econometric tools are employed to build a systematic analytical framework, including cointegration test, vector error correction, impulse response function, and variance decomposition. The empirical test results show the existence of bidirectional impacts among the four variables. The findings indicate that energy use boosts economic growth; meanwhile, CO 2 emissions positively relate to economic slowdown in China in recent years. Cointegration test indicates the existence of four long-term equilibrium relationships among the variables. VECM model reveals that energy use has a reverse adjusting power of 11.68 % working on shifting shortterm deviation back to long-term equilibrium. Impulse response function demonstrates that environmental regulation benefits economic growth only in the long run and facilitates improving energy efficiency, and the current implementation of regulation on CO 2 emissions is inconsistent. Variance decomposition shows that environmental regulation impacts energy use more greatly than economic growth. The final part concludes the new findings of the paper and proposes suggestions for China's sustainable development.

show abstract

Section: Indicators Selection and Data Sourcementioning

confidence: 99%

Exploring the impact of environmental regulation on economic growth, energy use, and CO2 emissions nexus in China

Zhang

2016

Nat Hazards

View full text Add to dashboard Cite

show abstract

“…Roberts et al [43] explored the problems between air pollutants in urban areas and mental health in childhood and adolescence and found that children under the age of 12 years old exposed to air pollution were not significantly associated with mental health problems. Zaman et al [44] explored the relationship between energy consumption, environment, health, and its impact on the economic growth of BRICS countries in BRICS countries (Brazil, Russia, India, China and South Africa) during 1975. The results showed that the environment variables have had a detrimental effect on the economic growth of BRICS countries, while energy had significantly increased the economic growth of countries, and it had also been found that health expenditures and infrastructure need to be appropriate for health issues related to fertility and mortality in BRICS countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Linkages among Economic Development, Energy Consumption, Environment and Health Sustainable in EU and Non-EU Countries

Feng

Chiu

et al. 2019

Healthcare

View full text Add to dashboard Cite

There is a close and important relationship between environmental pollution and public health, and environmental pollution has an important impact on the public health. This study employed the two-stage meta-frontier dynamic network data envelopment analysis (TMDN-DEA) model to explore the environment pollution effects from energy consumption on the mortality of children and adult, tuberculosis rate, survival rate and health expenditure efficiencies in 28 EU countries and 53 non-EU countries from 2010 to 2014. We calculated the overall efficiency scores and the technology gap ratios of each EU and non-EU countries and the efficiencies of input and output variables in the production and health stage. The average overall efficiencies each year in EU countries are higher than in the non-EU countries. But EU countries have higher energy efficiency than non-EU countries, and non-EU countries have higher health efficiency than EU countries. The health expenditure efficiencies in the EU countries are obviously lower than those in non-EU countries. The renewable energy efficiencies are obviously higher than the non-renewable energy efficiencies; PM2.5 efficiencies are obviously higher than the CO2 efficiencies and the children’s mortality rate efficiencies are higher than the adult’s mortality rate efficiencies for EU countries and non-EU countries. The government management in the EU and non-EU countries should be strengthened to reduce the air pollutant and carbon dioxide emissions and raise energy transformation to the clean energy in renewable energy and improve health efficiencies in medical and health care field.

show abstract

“…Some of the studies focused on energy consumption and industrial structure change [9], while others looked at economic growth and the energy structure [10]. In response to rapid development of the world economy and the increasingly severe issues of energy supply and demand, population growth, and environmental pollution [11,12], an increased number of studies have applied econometrics analysis methods to analyze the development of China's energy structure and industrial structure [13,14]. Many researchers analyzed the impact of energy structure, technological progress, and industrial structure on energy intensity with the logarithmic mean Divisia index technique, the results show that energy structure and industrial structure have different effects on energy intensity [15][16][17].…”

Section: Literature Reviewmentioning

confidence: 99%

Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model

et al. 2019

View full text Add to dashboard Cite

In this research, we established a System Dynamics Model named “E&I-SD” to study the development of the energy structure and industrial structure in China from 2000 to 2030 using Vensim Simulation Software based on energy economy theory, system science theory and coordinated development theory. We used Direct Structure Test, Structure-oriented Behavior Test, and Behavior Pattern Test to ensure the optimal operation of the system. The model’s results showed that the indicators of total energy consumption, total added value of GDP after regulation, energy consumption per capita, and GDP per capita were on the rise in China, but emissions per unit of energy showed a downward trend. Separately, the model predicted average annual growth rates in China through 2030. Based on these findings, we proposed important policies for China’s sustainable development. Firstly, short- and long-term policy measures should be implemented to replace fossil fuels with clean energy. Secondly, the utilization efficiency of raw coal should be appraised future. The planning should provide for steady development and improvement of the primary, secondary, and tertiary sectors. Thirdly, the mid- and long-term plans for development and management of various industrial sectors and the corresponding energy consumption should be based on technological trends. Finally, a market-oriented pricing mechanism for energy should be established in China as soon as possible.

show abstract

Dynamic linkages among energy consumption, environment, health and wealth in BRICS countries: Green growth key to sustainable development

Cited by 100 publications

References 30 publications

Exploring the impact of environmental regulation on economic growth, energy use, and CO2 emissions nexus in China

Exploring the impact of environmental regulation on economic growth, energy use, and CO2 emissions nexus in China

Dynamic Linkages among Economic Development, Energy Consumption, Environment and Health Sustainable in EU and Non-EU Countries

Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model

Contact Info

Product

Resources

About