scholarly journals Energy Utilization Efficiency of China Considering Carbon Emissions—Based on Provincial Panel Data

2021 ◽  
Vol 13 (2) ◽  
pp. 877
Author(s):  
Ge Huang ◽  
Wei Pan ◽  
Cheng Hu ◽  
Wu-Lin Pan ◽  
Wan-Qiang Dai
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Panel Data ◽  
Industrial Structure ◽  
Negative Impact ◽  
Positive Impact ◽  
Fixed Effect Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Effect Model

With the development of the economy, environmental pollution caused by energy consumption has become increasingly prominent. Improving the efficiency of energy utilization is an important way to solve this problem. Firstly, we used a data envelopment analysis (DEA) model to calculate the energy utilization efficiency of China’s provinces and regions from the perspective of environmental constraints, including four inputs—labor force, capital stock, energy consumption and carbon emission—and one output, GDP. Secondly, an entity fixed effect model of panel data was built to investigate the influence of openness, urbanization, marketization and industrial structure on energy utilization efficiency in the process of economic structure change. The results indicate that China’s energy efficiency shows a trend of first stabilizing and then declining from 2007 to 2017. Meanwhile, the comprehensive energy efficiency of all provinces and regions is not very ideal. Only Beijing, Shanghai and Guangdong constitute the forefront of China’s energy efficiency. The lack of pure technical efficiency in most provinces is the main reason for the low comprehensive efficiency, but there are also obvious differences among provinces and regions. In addition, urbanization, openness and industrial structure have a negative impact on energy efficiency, while marketization has a significant positive impact on energy efficiency. Finally, based on the regional differences, some suggestions were put forward to improve China’s energy utilization efficiency.

scholarly journals Population, Poverty and Economic Development Nexus: Empirical Study of Some Selected Developing Countries

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Muhammad Sibt e Ali ◽  
Syed Muhammad Faraz Raza ◽  
Syed Muhammad Faraz Raza ◽  
Naeem ul Din ◽  
Syed Zain Ul Abidin
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Panel Data ◽  
Developing Economies ◽  
Negative Impact ◽  
Positive Impact ◽  
Value Added ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Positive Effect

The major objective of this research is to examine the connection among poverty, population growth and its impact on economic development of different developing countries. This research comprised of panel data for period of 2002-2015. The data has been taken World Bank Indicator (WDI) for twenty six developing countries. To find out the results we use panel data. For the analysis of data we have applied Hausman and Fixed Effect Model in this study. Findings of the study indicate that the consumption of government, export, gross capital formation and industrial value added have positive impact on growth of developing economies. The results show that the variation in these variables has positive effect on dependent variables. On the other hand, economic growth increases due to positive changes in this variable. It is seen in this study that population and poverty has negative impact on GDP per capita in selected developing countries.

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

Analysis of China’s Provincial Energy Efficiency Based on the Generalized DEA Method

2014 ◽  
Vol 953-954 ◽  
pp. 890-895
Author(s):  
Hui Min Li ◽  
Cun Bin Li ◽  
Zhan Xin Ma
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Rapid Economic Growth ◽  
Technology Changes ◽  
Dea Method ◽  
Save Energy ◽  
The Impact

In recent years, with the rapid economic growth, the demand on the amount of energy in China is increasing. So the problem of how to improve the energy utilization efficiency and save energy consumption has to be tackled. The traditional CCR model and BCC model used in the study of provincial energy efficiency do not take the impact of technological progress into consideration. Therefore, the paper uses the generalized DEA method to research the energy utilization efficiency of China’s 29 provinces, that is, to evaluate and analyze the energy utilization efficiency by selecting the capital stock, employment and total energy consumption of China’s provinces as input factors and GDP, per capital GDP as output factors, and then draw tables showing each province’s change of average annual overall efficiency and the pure technology changes, and finally analyze the regularities underlying these changes.

scholarly journals A Panel Data Analysis of Globalization, Peace and Stability: Implications for Governance and the Global Knowledge Economy

2020 ◽  
Vol 4 (2) ◽  
pp. 1-1
Author(s):  
Ayaz Zafar ◽  
Muhammad Tariq Majeed
Keyword(s):  
Panel Data ◽  
Knowledge Economy ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Global Knowledge ◽  
Data Set ◽  
Effect Model

This study attempts to explore the relationship between globalization and the knowledge economy via governance. It intends to explain the channel of their relationship through peace and stability. Knowledge economy pillars (Education and Information and communication technology) are used as the dependent variable and globalization is used as an independent variable. To obtain the objectives of the study, the panel data set of 198 countries is used for the period of 1996-2016. The study has employed econometric techniques of panel data set such as the Fixed Effect Model (FEM), Random Effect Model (REM), and Hausman test. The results reveal that globalization has a significant and positive impact on the knowledge economy. Hence the study recommends that the country should execute such reforms that help enhance the globalization and increase the development of the knowledge economy.

scholarly journals Pengaruh Konsumsi Energi dan Deforestasi Terhadap Output Nasional Lima Negara Anggota ASEAN

2021 ◽  
Vol 10 (2) ◽  
pp. 105-112
Author(s):  
Neni Kristiana ◽  
Lorentino Togar Laut ◽  
Jalu Aji Prakoso
Keyword(s):  
Panel Data ◽  
Co2 Emissions ◽  
Negative Impact ◽  
National Income ◽  
Electricity Consumption ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Coal Consumption ◽  
Effect Model ◽  
National Output

The economic development aimed at improving people’s welfare often ignores the negative impact of the surrounding environment. The high use of energy aimed to increase the national income of the five ASEAN members hurts the environment by increasing CO2 levels in the air.  This research aims to analyze the effect of CO2 emissions, coal consumption, electricity consumption and deforestation on national output in five ASEAN members. The variable used in this research is national output as the dependent variable and CO2 emissions, coal consumption, electricity consumption and deforestation as the independent variables. This research uses secondary data. The data is the panel data of five ASEAN members (Indonesia, Malaysia, Thailand, Philippines, Myanmar) from 2002 until 2018.  The research method in this time is panel data regression, using Fixed Effect Model. This research shows that in five ASEAN members from 2002 until 2018, CO2 emissions harm national output, coal consumption, and electricity consumption positively affects national outcome, while deforestation does not affect national output.

scholarly journals Research on the Impact of Industrial Development on Energy Utilization Efficiency under the Background of Urban Agglomeration Planning

2021 ◽  
Vol 283 ◽  
pp. 02026
Author(s):  
Yuan Zheng ◽  
Bo Yue ◽  
Xuesong Han ◽  
Zheng Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Development ◽  
Urban Agglomeration ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Central Cities ◽  
Urban Agglomerations ◽  
The Impact

At present, the trend of central cities leading the development of urban agglomerations and urban agglomerations driving regional development is becoming more and more significant. Based on the panel data of 16 cities in the Chengdu-Chongqing urban agglomeration from 2010 to 2015, this paper uses a fixedeffect model to study the relationship between industrial development and energy efficiency in urban agglomerations, central cities, and surrounding cities. The empirical results show that for the overall urban agglomerations, central cities and surrounding cities, the scale of the secondary industry has a negative correlation with energy consumption per unit of GDP. Industrial development will increase the total energy consumption, but it also contributes to energy efficiency. In order to achieve the goal of "carbon peak and carbon neutrality", cities must find a balance in development and seek ecological protection during development.

scholarly journals IMPACT OF MACROECONOMIC FACTORS ON FOREIGN DIRECT INVESTMENT IN SELECTED SOUTHEASTERN EUROPEAN COUNTRIES

TEME ◽  
2019 ◽  
pp. 1237 ◽  
Author(s):  
Jelena Andrašić ◽  
Vera Mirović ◽  
Branimir Kalaš
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Negative Impact ◽  
Positive Impact ◽  
Fixed Effect Model ◽  
European Countries ◽  
Market Size ◽  
Macroeconomic Factors ◽  
Effect Model ◽  
The Impact

Foreign direct investment has a significant role in Southeastern European countries. The aim of the paper is reflected in assessing the character and nature of the relationship between macroeconomic factors and foreign direct investment in Southeastern European countries. Further, the subject of paper includes the examination of the impact of selected macroeconomic variables on foreign direct investment in six countries for the period from 2000 to 2012. The selected countries are Albania, Bosnia and Herzegovina, Bulgaria, Macedonia, Romania and Serbia. The research includes an examination impact of market size, national competitiveness and employment on foreign direct investment. By using the Hausman test, it was confirmed that the fixed effect model is an appropriate model in panel analysis. Based on the result, it determined the positive impact of market size, while the industry's share of GDP and employment have a negative impact on this variable. Also, the results confirmed that only the market size of the countries significantly affected on the flow of foreign direct investment in Southeastern European countries.

scholarly journals Research on Regional Differences and Influencing Factors of Energy Utilization Efficiency in China

2021 ◽  
Vol 2 (3) ◽  
pp. 65-69
Author(s):  
Yunpeng Wang
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Influencing Factors ◽  
Energy Use ◽  
Negative Impact ◽  
Positive Impact ◽  
Energy Utilization ◽  
Western Region ◽  
Eastern Region ◽  
The Western Region

Energy, as one of the important input factors in modern economic growth, plays a decisive role in the economic growth of all countries in the world. Use Moran I index and fixed effect model to measure the degree of spatial correlation and spatial difference between regions and analyze the influencing factors of energy efficiency, The results show that the energy efficiency of various provinces is spatially related, and the spatial distribution tends to be spatially concentrated; the per capita GDP has a significantly greater impact on the energy efficiency of the eastern region than it has on the western region; foreign direct investment (FDL) has an impact on the energy use of the eastern region There is a negative impact on efficiency and a positive impact on the efficiency of energy utilization in the western region; the number of patent grants has a significantly greater effect on the improvement of energy efficiency in the western region than in the eastern region; the increase in the proportion of the secondary industry has a positive impact on the energy use efficiency in the eastern region There is a positive impact and a negative impact on the energy efficiency of the western region.

scholarly journals China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Baojian Zhang ◽  
Pengli Li ◽  
Huaguo Zhou ◽  
Xiaohang Yue
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Industrial Structure ◽  
Evolutionary Process ◽  
Auto Industry ◽  
Clean Energy ◽  
High Energy ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Dynamic Matching

To protect energy resources and alleviate environmental pollution, many countries attach great importance to the transformation of traditional industries into clean energy industries. In this paper, fuel vehicles (FVs), hybrid vehicles (HVs), and electric vehicles (EVs) are included in the research. Then, based on the aging chain and coflow theory of SDs, we construct a dynamic matching model of the auto industry upgrade process and its energy consumption attributes. The simulation results of China’s auto industry show that (1) the upgrading of the auto industry is an evolutionary process from high energy consumption and high pollution to low energy consumption and no pollution and the transition from FVs and HVs to EVs will undergo two adjustments; (2) simply reducing energy supply does not have the expected impact on vehicle size and vehicle energy consumption intensity and only by adjusting the energy supply and upgrade ratios together, energy utilization efficiency can be improved; (3) market screening time has an impact on auto industry upgrade speed by affecting vehicle market share and dwell time; (4) China’s auto industry upgrade process should adhere to “problem-oriented” and strengthen consumer guidance, technology innovation, and infrastructure construction. The conclusions can provide references for industrial policy adjustment and industrial structure optimization.

scholarly journals EVALUATION OF TAKĀFUL OPERATORS’ EFFORTS IN REALISING MAQASID AL- SHARĪʿAH

2018 ◽  
Vol 3 (2) ◽  
pp. 397-413
Author(s):  
Rashedul Hasan ◽  
Abu Umar Faruq Ahmad ◽  
Haziq Bin Nordin
Keyword(s):  
Common Good ◽  
Negative Impact ◽  
Positive Impact ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Annual Reports ◽  
Test Results ◽  
Theoretical Perspectives ◽  
Effect Model ◽  
Conventional Counterpart

Takāful has emerged as a Sharīʿah-compliant alternative to conventional insurance, which is embedded in realising its underlying maqasid (goals or objectives) of Sharīʿah. Contrary to previous studies that attempted to provide evidence that takāful products are compliant with the Sharīʿah in practice of takāful operators (TOs), this paper seeks to take a different approach to investigate their compliance with the fulfilment of  the three broad categories of  maqasid  al-Sharīʿah. In light of the theoretical perspectives of maqasid, each objective was operationally defined for statistical analysis. Six TOs from Malaysia were selected, and five-years’ data (2011-2015) have been collected from World Bank’s websites and annual reports. Secondary data were analysed through balanced panel data approach. Hausman test results indicate that fixed effect model is more appropriate in explaining the explored phenomena. Taxes paid by TOs were found to have a significant positive impact on economic growth and poverty alleviation while payment of zakah found to have a negative impact. The prohibition of riba (interest) should not be the only decisive difference between Islamic finance and its conventional counterpart. Islamic banks (IBs) and TOs are accountable toward Allah, and thus their activities should be directed toward the fulfilment of maqasid al-Sharīʿah. While earlier published literature has explored efficiency and profitability of TOs, the current paper has attempted to focus on the ability of TOs in serving the maslaha (public interest/common good of the community).

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