Research on the relationship between carbon emission, energy consumption and economic growth in Liaoning Province Based on Tapio decoupling analysis

In today's highly advanced industrialised and modernised world, China's economy is still growing, and its demand for energy is increasing daily. It is crucial to examine the connection between energy consumption, carbon emissions, and economic growth in order to promote economic growth based on energy conservation and emission reduction. Using Dezhou City in Shandong Province as an example, the study builds a VAR model of carbon emission, energy consumption, and economic growth in Dezhou City based on simplified macroeconomic sub-models, energy sub-models, and environmental sub-models. It then determines the correlation and influence mechanism between the three using tests like ADF unit root and Granger causality. The pertinent elements affecting Dezhou's carbon emissions were then investigated using grey correlation analysis. Finally, based on the study's findings, policy suggestions are made regarding energy use, carbon emissions, and economic expansion. It is necessary not only to restrain high-energy consumption industries and fundamentally optimize the energy consumption structure, but also to find new economic growth points and improve economic growth channels, so as to optimize the industrial structure. In this process, increasing the proportion of the tertiary industry is a key measure. In addition, the government needs to advocate the citizens to adopt a low-carbon lifestyle, and the concept of low-carbon environmental protection will be deeply rooted in the hearts of the people. This study will provide suggestions and theoretical guidance for China's energy consumption and carbon emissions, and help achieve high-quality growth of China and even the world economy.

This study investigates the dynamic relationships between carbon emission, urbanization, energy consumption, and economic growth in a panel of 42 Asian countries for the period 2000–2014 using dynamic common correlated effects panel data modeling. This study employs second generation cross-sectional Pesaran (J. Appl. Econom., 2007, 22(2), 265-312) panel unit root, Westerlund panel cointegration tests (Econom. Stat., 2007, 69(6), 709-748), and Pesaran’s (Econometrica, 2006, 74(4), 967-1012) common correlated effects mean group estimation technique. These approaches allow for cross-sectional dependence, and are robust to the presence of common factors, serial correlation, and slope heterogeneity. The Common Correlated Effect Mean Group test reveals a high average coefficient of 0.602 between carbon emission and energy consumption while low coefficients of 0.114 and 0.184 for the pairs of carbon emission-urbanization and carbon emission-GDP, respectively for the panel as a whole, suggesting a cointegration between carbon emission, urbanization, energy consumption, and economic growth. The results indicate that there is relatively high carbon emission especially for highly populated and geopolitical risk Asian countries in the short run. Findings reveal long run relationships between the variables, which is attributed to the on-going carbon taxation and energy prices. Our results are robust to PMG-ARDL estimator. Overall, these findings cast important implications on renewable energy policy and urban planning insights for the policymakers.

The main objective of this study is to examine the relationship between energy consumption, carbon emission and economic growth in the case of Indonesia and Malaysia. As every type of energy may has different impact on carbon emission and economic growth, the aggregate and disaggregate energy consumption are applied in the analysis. For the model of aggregate energy consumption, this study employs total energy consumption per capita and CO2 emission per capita based on the total of energy consumption. Meanwhile, the disaggregate models use derivatives of variable energy consumption, namely, oil, coal, and gas. Some methodologies of econometrics such as unit root, cointegration, Granger causality, and error correction model are employed in the analysis. The short and long-run relationship are exist in both countries, the increase in aggregate consumption of energy source will increase produce CO2 emission, while the increase in income also leads to the increase of CO2 emission. Moreover, gas consumption is less polluting compared with other source of energy. In addition, there is a negative relationship between income and carbon emission which indicate that the carbon emission can be reduced by using gas as source of energy without preventing economic growth.

Shared prosperity, energy-saving, and emission-reduction: Can ICT capital achieve a “win-win-win” situation?

This study examines the causal relationship between energy consumption, carbon emission, trade openness, and economic growth and how the first three variables affects economic growth. Using data ranged from 1966 to 2023 from Indonesia, a vector error correction model and granger causality test is used to help analyze the data. Despite the expectations from exogenous growth theory and environmental Kuznets curve theory, the results reveal limited causality. Results shows that theres a causality from carbon emission towards economic growth and a bidirectional causality from energy consumption and economic growth with a long run effect from energy consumption, carbon emission, and trade openness towards economic growth. These findings suggest that that economic activities are reactive to environmental and energy trends. Policy implications include the need for integrated energy and environmental planning while recognizing the limited short-term impact of trade openness on economic growth dynamics in Indonesia.

This study focuses on the relationship among the energy consumption, carbon emission and economic growth of Malaysia by using a time series data from 1980-2016. The study findings are shown by an econometric analysis that energy consumption, total and per capita CO2 emission and gross domestic product (GDP) has increased vastly between 1980 and 2016. The Johansen cointegration test confirms the existence of the long run relationship of energy consumption with carbon emission and economic growth. Moreover, the Granger causality test reveals the unidirectional causality of energy demand and population with carbon emission. The positive and significant relationship between GDP and carbon emission is a critical issue in Malaysia that needs to be addressed with care as economic growth is necessary but increase of carbon emission is undesirable. Therefore, this study recommends to promote green energy, green growth (GDP) that will ensure both energy security and energy sustainability in Malaysia over time.

With the continuous growth of China's economy, issues such as energy consumption and carbon emissions have continuously become hotspots of concern. Based on energy consumption, energy structure, economic growth and carbon emission data from 1980 to 2023, this paper establishes a VAR model, uses Granger causality test to examine the causal relationship between these elements, and at the same time uses impulse response function to analyze the long-term dynamic relationship between variables. The research results show that there is a two-way causal relationship between energy consumption and energy structure, and a two-way causal relationship between carbon emissions and energy structure. At the same time, the impulse response function is used to verify the dynamic change relationship between them. The research results reveal that China's economic development at this stage is highly dependent on traditional energy sources. While pursuing economic development, it is necessary to take into account the efficiency of traditional energy consumption, adjust the energy structure, vigorously develop new energy sources, and promote China's economy to embark on a green and low-carbon sustainable development path.

The Beijing-Tianjin-Hebei (B-T-H) region, who captures the national strategic highland in China, has drawn a great deal of attention due to the fog and haze condition and other environmental problems. Further, the high carbon emissions generated by energy consumption has restricted its further coordinated development seriously. In order to accurately analyze the potential influencing factors that contribute to the growth of energy consumption carbon emissions in the B-T-H region, this paper uses the carbon emission coefficient method to measure the carbon emissions of energy consumption in the B-T-H region, using a weighted combination based on Logarithmic Mean Divisia Index (LMDI) and Shapley Value (SV). The effects affecting carbon emissions during 2001–2013 caused from five aspects, including energy consumption structure, energy consumption intensity, industrial structure, economic development and population size, are quantitatively analyzed. The results indicated that: (1) The carbon emissions had shown a sustained growth trend in the B-T-H region on the whole, while the growth rates varied in the three areas. In detail, Hebei Province got the first place in carbon emissions growth, followed by Tianjin and Beijing; (2) economic development was the main driving force for the carbon emissions growth of energy consumption in B-T-H region. Energy consumption structure, population size and industrial structure promoted carbon emissions growth as well, but their effects weakened in turn and were less obvious than that of economic development; (3) energy consumption intensity had played a significant inhibitory role on the carbon emissions growth; (4) it was of great significance to ease the carbon emission-reduction pressure of the B-T-H region from the four aspects of upgrading industrial structure adjustment, making technological progress, optimizing the energy structure and building long-term carbon-emission-reduction mechanisms, so as to promote the coordinated low-carbon development.

ABSTRACTThis study attempts to investigate the long-run Granger causality relationship between energy consumption, carbon emissions, economic growth, and trade openness in Sri Lanka. Our analysis reveals that, there exists long-run causal relationship between carbon emission and economic growth for Sri Lanka over the period of 1971–2006. In addition, there is unidirectional causality running from economic growth to the carbon emission and energy consumption. The result implies that carbon emission reduction policies will hurt economic growth if no supplementary policies are taken to modify this causal relationship.

Summary Cities, contributing more than 75% of global carbon emissions, are at the heart of climate change mitigation. Given cities' heterogeneity, they need specific low-carbon roadmaps instead of one-size-fits-all approaches. Here, we present the most detailed and up-to-date accounts of CO2 emissions for 294 cities in China and examine the extent to which their economic growth was decoupled from emissions. Results show that from 2005 to 2015, only 11% of cities exhibited strong decoupling, whereas 65.6% showed weak decoupling, and 23.4% showed no decoupling. We attribute the economic-emission decoupling in cities to several socioeconomic factors (i.e., structure and size of the economy, emission intensity, and population size) and find that the decline in emission intensity via improvement in production and carbon efficiency (e.g., decarbonizing the energy mix via building a renewable energy system) is the most important one. The experience and status quo of carbon emissions and emission-GDP (gross domestic product) decoupling in Chinese cities may have implications for other developing economies to design low-carbon development pathways.

In recent years, the global greenhouse effect caused by excessive energy-related carbon emissions has attracted more and more attention. In this paper, we studied the dynamic evolution of factors driving China's energy-related CO2 emissions growth from 2007 to 2015 by using energy consumption method and input-output analysis and used the IO-SDA model to decompose the energy carbon emissions. Within the research interval, the results showed that (1) on the energy supply-side, the high carbon energy represented by raw coal was still the main factor to promote the growth of energy-related CO2 emissions. However, the optimization of energy consumption structure is conducive to reducing emissions. Specifically, the high carbon energy represented by raw coal exhibited a downward trend in promoting the increment of energy-related CO2 emissions, while the clean energy represented by natural gas showed an upward trend in promoting the increment of CO2 emissions. It is worth noting that there is still a lot of room for optimization of China’s energy consumption structure to reduce emissions. (2) On the energy demand-side, the final demand effect is the main driving force of the growth of carbon emissions from fossil energy. Among them, the secondary industry plays a major role in the final demand effect. The "high carbonization" of the final product reflects the characteristics of China's high energy input in the process of industrialization. At the same time, since the carbon emission efficiency of the tertiary industry and the primary industry is better than that of the secondary industry, actively optimizing the industrial structure is conducive to slowing down the growth of carbon emission brought by the demand effect. (3) The input structure effect is the main restraining factor for the growth of energy carbon emissions, while the energy intensity effect has a slight driving effect on the growth of energy carbon emissions. The results show that China's "extensive" economic growth model has been effectively reversed, but the optimization of fossil energy utilization efficiency is still not obvious, and there is still a large space to curb carbon emissions by improving fossil energy utilization efficiency in the future.

In the current study, researchers have examined the association among consumption of energy, emission of carbon, and economic growth and investigated along with indicators such as urban population growth and rural population growth, whose data exist from the period 1981-2022. used (ADF) unite root test, ARDL, and bound test. The results based on ARDL models show that a unidirectional long-term relation exists between the variables being examined. In the short term, there is a strong and significant relationship between energy consumption (EC) and carbon emissions with economic gcorowth (GDP). The findings suggest that in Pakistan, energy is a factor for both short and long-term economic growth. Energy consumption, carbon emissions, and rural population growth, while the urban population also influences economic growth. The outcome of these empirical findings suggests that the country should aim at increasing energy consumption with minimum impacts of pollution and achieve energy security. Priority should be given to energy management that combines demand and supply factors. Efforts should be made to promote an adequate energy mix that includes clean, renewable energy and improve energy efficiency in a holistic framework. Environmental degradation, energy consumption, and urbanization policies must be adapted to achieve energy self-sufficiency together with minimum CO2 emissions.

Issues on climate change have been recognized as serious challenges for regional sustainable development both at a global and local level. Given the background that most of the artificial carbon emissions are resulted from the energy consumption sector and the energy is also the key element resource for economic development, this paper investigated the relationship between CO2 emission, fossil energy consumption, and economic growth in the period 1970–2008 of nine European countries, based on the approach of Granger Causality Test, followed by the risk analysis on impacts of CO2 reduction to local economic growth classified by the indicator of causality degree. The results show that there are various feedback causal relationships between carbon emission, energy consumption and economic growth, with both unidirectional and dual-directional Granger causality. The impact of reducing CO2 emission to economic growth varies between countries as well.

Climate change calls for worldwide public concern and effort to cut down carbon dioxide (CO2) emissions and globally realize sustainable development. As one of the largest energy consumers, the construction industry plays a crucial role in achieving the national carbon emission reduction goal. This paper, by employing an improved Kaya model, explored the relationships and trends among carbon emission, energy consumption, and GDP growth rate and carbon emission intensity of the Chinese construction industry. Results showed that the carbon emission of the construction industry is mainly affected by GDP growth of construction scale. The energy consumption was the main driver to the increase of carbon emissions. The carbon emissions of unit area and carbon intensity showed a decreased trend with the development of economy and the increase of construction scale. The dependence of construction activities on the fossil fuel remained despite noticeable decrease. Energy intensity helps to reduce construction carbon emissions. Low carbon economy development of construction industry calls for technological innovation, alternative energy and new technical support for further breakthrough. These findings provide scientific evidence of carbon emissions in the Chinese construction industry and useful inputs for industry-specific emission regulations.

The importance of energy has made it the focus of many studies, discussions and policies. The studies carried out provide important ideas about the extent and in which direction the energy policies to be implemented affect the economic activities, and as a result, what kind of path should be followed. In terms of policy makers, determining the direction of causality is extremely important for the curriculum of the projects. In this study, the relationship between energy consumption, carbon emissions and economic growth in ASEAN-5 countries between the years 1990-2021 was examined. As a result of the causality analysis, it was found that there is a bilateral causality relationship between economic growth and CO2 emissions in Singapore; it has been determined that there is a unilateral causality relationship from economic growth to CO2 emissions in the Philippines, and from CO2 emissions to economic growth in Indonesia and Malaysia. In addition, there is a bi-directional causality relationship between economic growth and energy consumption in Singapore; there is a unilateral causality relationship from economic growth to energy consumption in Indonesia and the Philippines.