Investigating economic growth-energy consumption-environmental degradation nexus in China

Sek, Siok Kun; Chu, Jenq Fei

doi:10.21833/ijaas.2017.012.005

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Saidi and Hammami (2015) analysed the relation between CO 2 emissions, economic growth, and energy consumption in 58 countries and observed that the three indicators are complementary. Sek and Chu (2017) investigated the dynamic relation between the three variables in a country with a high energetic consumption that is China. They noticed a bi-directional relation between energy consumption and greenhouse gases emissions and a uni-directional relation between economic growth and short time energy consumption in China.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of agriculture and renewable energy on climate change in Central and East European Countries

Florea¹,

Bădîrcea²,

Pîrvu³

et al. 2020

AGR ECON-CZECH

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According to the objectives of the European Union concerning the climate changes, Member States should take all the necessary measures in order to reduce the greenhouse gas emissions. The aim of this study is to identify the causality relations between greenhouse gases emissions, added value from agriculture, renewable energy consumption, and economic growth based on a panel consisting of 11 states from the Central and Eastern Europe (CEECs) in the period between 2000 and 2017. The Autoregressive Distributed Lag (ARDL) method was used to estimate the long-term relationships among the variables. Also a Granger causality test based on the ARDL – Error Correction Model (ECM) and a Pairwise Granger causality test were used to identify the causality relationship and to detect the direction of causality among the variables. The results obtained reveal, in the long term, two bidirectional relationships between agriculture and economic growth and two unidirectional relationships from agriculture to greenhouse gas emissions and renewable energy. In the short term, four unidirectional relationships were found from agriculture to all the variables in the model and one unidirectional relationship from renewable energy to greenhouse gas emissions.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of agriculture and renewable energy on climate change in Central and East European Countries

Florea¹,

Bădîrcea²,

Pîrvu³

et al. 2020

AGR ECON-CZECH

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“…In the literature, mainly the causality relations among greenhouse gas emissions, energy consumption and economic growth have been investigated [25,26]. Also, the relations between real GDP per capita, urbanization rate, ratio of tertiary to secondary industry, ratio of renewable energy, and fixed assets investment have been analyzed [27].…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Impact of Economic Growth and Energy Consumption on Greenhouse Gas Emissions: Testing Environmental Curves Hypotheses on EU Countries

2018

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This study analyses the relationship between per capita greenhouse gas (GHG) emissions, gross domestic product, gross inland energy consumption, and renewable energy consumption for a panel of 28 countries of European Union in the period 1990–2016. Two theoretical models, a quadratic and a cubic one, are used to estimate the shape of the environmental curve and to test the Kuznets hypothesis. The panel cointegration approach proved the existence of long-run equilibrium relations among the four macroeconomic indicators. Empirical estimations, using panel data techniques, as well as heterogeneous regression for each individual country in the panel, show non-conclusive evidence for the environmental Kuznets curve (EKC) hypothesis. The least square estimates, with the variables in log per capita form, reveal that the inverted U-shaped EKC hypothesis is verified for the panel and for 17 of the 28 EU countries. Estimates of the cubic model show that the environmental curve has an inverted N-shaped form. These results do not hold when the values are in non-logarithmic form. In addition, the estimations for all models show that an increase of gross energy consumption leads to an increase of GHGs, while an increase of renewable energy consumption leads to a reduction in GHG emissions.

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“…Researchers have studied the associations between economic growth, energy consumption and environmental change for decades [4,[31][32][33][34][35][36][37][38][39][40][41][42][43][44][45]. Some researchers focused on exploring the relationships between economic growth, energy use such as electricity consumption and greenhouse gases (GHG) emissions in a single country or city [31,32,35,36,40,[42][43][44] while others preferred the study of the relationships using panel data i.e., multiple countries simultaneously [34,[37][38][39]41,[45][46][47][48]. Specifically, Bilan et al [46] reported that there is a long-run causal relationship running from the use of renewable energy in the form of capital and human resources to economic growth in the form of GDP per capita in EU member countries.…”

Section: Economic Growth and Environmental Changementioning

confidence: 99%

Economic and Environmental Changes in Shenzhen—A Technology Hub in Southern China

Lee

Lau

2021

Sustainability

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Shenzhen has been established as the technology and innovation center in China. The study reviews its economic development and environmental change over the past four decades. Specifically, it tests whether environmental Kuznets curve relationship between haze as a proxy indicator of environmental condition and gross domestic product (GDP) per capita holds in Shenzhen. The study also examines the contribution of Shenzhen’s secondary sector to its GDP and highlights some changes in the computer, communication and electronic product manufacturing industries over the years. We collected the official data from the Shenzhen Municipal Government. Economic, social and environmental changes in Shenzhen were identified using tables and stacked graphs. Environmental Kuznets curve revealed that the worst environmental condition appeared in Shenzhen during the period 2003–2004. Environmental analysis showed that Shenzhen’s computer, communication and electronic product manufacturing industries consumed 52,595 TJ of energy and produced 10.1 million tons CO2-eq in 2019. As gross output value of the industries was USD 336 billion in 2019, the industries had an energy efficiency of 156,716 MJ/million USD and an emission efficiency of 30.6 tons CO2-eq/million USD, improving by 74% and 65%, respectively, since 2008. Nevertheless, the industries should focus more on high value-added and low energy-intensive technologies and innovations. Additionally, the Shenzhen Government shall increase the use of clean energy sources such as nuclear, wind and solar power in order to sustain the continual improvement of energy and emission efficiencies for all industries.

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Investigating economic growth-energy consumption-environmental degradation nexus in China

Cited by 5 publications

References 26 publications

The impact of agriculture and renewable energy on climate change in Central and East European Countries

The impact of agriculture and renewable energy on climate change in Central and East European Countries

Impact of Economic Growth and Energy Consumption on Greenhouse Gas Emissions: Testing Environmental Curves Hypotheses on EU Countries

Economic and Environmental Changes in Shenzhen—A Technology Hub in Southern China

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