Research on Regional Differences and Convergence of Energy Efficiency in China

2011 ◽  
Vol 347-353 ◽  
pp. 3952-3955 ◽  
Author(s):  
Jian Sheng Zhang
Keyword(s):  
Energy Efficiency ◽  
Convergence Analysis ◽  
Regional Differences ◽  
Western Region ◽  
Input Output ◽  
The West ◽  
Regional Energy ◽  
The Difference ◽  
Convergence Trend ◽  
Output Indicators

Basing on the input-output indicators, this paper analysed the regional energy efficiency of China by DEA model. The results showed: the energy efficiency in each region of China continues to be improved, but the rising speed was slow; the difference of energy efficiency in each region was great, specifically speaking, the east was the best and the middle was better and the west was the worst; from the convergence analysis on energy efficiency, it indicated that there was a convergence trend on energy efficiency in each region of China, and the eastern and middle regions were convergence, but it was divergent in the western region.

An Analysis on the Differences of Regional Energy Efficiency in China - The Empirical Study Based on Theil Index

2013 ◽  
Vol 830 ◽  
pp. 392-397
Author(s):  
Shi Xiang Zhang ◽  
Ya Dong Ning
Keyword(s):  
Energy Efficiency ◽  
Empirical Study ◽  
Theil Index ◽  
Western Region ◽  
Eastern Region ◽  
Regional Energy ◽  
Region Difference ◽  
Central Regions ◽  
The Difference ◽  
Total Difference

This paper divides Chinas 30 provinces into eastern region, central region and western region, uses the energy intensity as an index to analyze energy efficiency from 1995 to 2010 in China and take the empirical study in regional differences of energy efficiency by Theil index. The results of this research indicate that the total, within-region and between-region difference of energy efficiency are all constantly reducing in China. There is a rapid decrease of the total difference and within-region difference of energy efficiency. The total difference mainly consists of within-regional difference. The within-region differences of energy efficiency in the three regions are not the same. To be specific, the difference in the eastern and central regions decreases, while the difference in the western region is showing some characteristics of fluctuation.

scholarly journals Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China

2020 ◽  
Vol 17 (20) ◽  
pp. 7541
Author(s):  
Jiaxing Pang ◽  
Hengji Li ◽  
Chengpeng Lu ◽  
Chenyu Lu ◽  
Xingpeng Chen
Keyword(s):  
Carbon Emissions ◽  
Agricultural Production ◽  
Emission Intensity ◽  
Regional Differences ◽  
Carbon Emission ◽  
Dynamic Evolution ◽  
Western Region ◽  
Carbon Emission Intensity ◽  
Emissions Intensity ◽  
The Difference

The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west.

scholarly journals Comparison and Optimization of Energy Efficiency Between Hydropower and Thermal Power in China

2020 ◽  
Author(s):  
Ze Tian ◽  
Ruomei Wang ◽  
Fang-rong Ren
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Regional Differences ◽  
Thermal Power ◽  
Western Region ◽  
Undesirable Output ◽  
Thermal Power Generation ◽  
Low Efficiency ◽  
Equipment Utilization ◽  
Installed Capacity

Abstract Background: As the two main forces of China’s power electricity, the energy generation efficiencies of thermal power and hydropower are important factors affecting energy conservation and emissions reduction.Methods: Considering regional differences and multiple effective decision-making units, this research uses the meta-frontier super-efficiency slack based measure model to comprehensively evaluate the efficiencies of hydropower and thermal power generation in China, with CO2 emissions of thermal power generation as its undesirable output.Results: The average group efficiency of thermal power generation in the central region have greatly improved, and the eastern and western regions also show an upward trend, whereas there is a slight downward trend for hydropower in the three regions. The hydropower technological gaps in the three regions have slightly expanded, but the thermal power technology gaps in the east, the central, and the west have gradually narrowed, indicating that the thermal power industry is generally mature, and CO2 emission control and treatment have made some progress. From the perspective of input-output non-efficiency level, the undesirable output CO2 of thermal power energy efficiency in the eastern, central, and western regions is surplus, and the redundancy of equipment utilization hours, energy input, and installed capacity in the western region are all high, but generation in the western region is insufficient, leading to relatively low efficiency of thermal power generation there. In the east, the redundancy of equipment utilization hours, number of employees, and installed capacity are all high, and the generation of hydropower in the east and the central is insufficient, leading to relatively low efficiency of hydropower in these two regions.Conclusions: There are regional differences in the efficiencies of hydropower and thermal power generation in China. The thermal power industry is becoming mature, but its CO2 emissions should be reduced, and the hydropower industry needs further policies support according to local conditions to improve energy efficiency and achieve green development.

scholarly journals Research on Input-output Efficiency of Urban Industrial Land based on Super-SBM Model

2019 ◽  
Vol 136 ◽  
pp. 04016
Author(s):  
Quanhua Qian ◽  
Xu Lu
Keyword(s):  
Spatial Distribution ◽  
Variable Coefficient ◽  
Liaoning Province ◽  
Input Output ◽  
Fixed Asset ◽  
Industrial Land ◽  
Sbm Model ◽  
Output Efficiency ◽  
The Difference ◽  
Output Indicators

The industrial land efficiency of 14 prefecture-level cities in Liaoning Province in China was measured and calculated by using three categories of input indicators (land, fixed asset, employed person) and output indicators (output value, profit, pollutant) and by using Super-SBM model. The results showed that the most of industrial land efficiency of every prefecture-level city in Liaoning Province was completely coordinated, the difference in their efficiency values was larger, the variable coefficient of their efficiency was large, and they had obvious two polarization; besides, they showed the decrease progressively from east to west on the spatial distribution and the trend of reducing from periphery to inner.

scholarly journals The Difference of Outward-Oriented Economy in Six Provinces of Central China Based on the Theil Index

2018 ◽  
Vol 6 (2) ◽  
pp. 70-76
Author(s):  
Xuan Ji ◽  
Yanqing Jiang
Keyword(s):  
Regional Differences ◽  
Foreign Capital ◽  
Coastal Areas ◽  
Central China ◽  
Theil Index ◽  
Total Import ◽  
The West ◽  
Export Volume ◽  
Import And Export ◽  
The Difference

Six provinces in the central part of China are the important economic hinterland of our country. With the first development of the eastern coastal areas and the strategy of developing the West and revitalizing the northeast, the central area’s economy has gradually collapsed and the outward oriented economy has also collapsed. In this paper, we use modified Theil index to analysis the degree of the outward-oriented economy difference in six provinces and the difference between inter regional and extra regional differences of total export-import volume and actual utilization of foreign capital. It is concluded that the difference of outward-oriented economy in these six provinces of central China is obvious, but the overall difference is getting smaller and the difference of the actual utilization of foreign capital is greater than the difference of total import and export volume. Inter and extra differences play a different role in Theil index of total import and export volume and actual utilization of foreign capital. By analyzing reasons of these differences, we list some suggestions about increasing Anhui province’s competition of Outward-oriented economy. Each government is supposed to make full use of the policies, strengthen cooperation, conduct resources consolidation better, build more inland-ports, make full use of the advantages of labor and resources, focus on talent cultivation and exchange.

scholarly journals Regional differences in mortality rates during the COVID-19 epidemic in Italy

2020 ◽  
pp. 1-22
Author(s):  
Danila Azzolina ◽  
Giulia Lorenzoni ◽  
Luciano Silvestri ◽  
Ilaria Prosepe ◽  
Paola Berchialla ◽  
...  
Keyword(s):  
Regional Differences ◽  
Southern Italy ◽  
Meta Analysis ◽  
Analysis Data ◽  
Mortality Rates ◽  
Northern Italy ◽  
Admission Rates ◽  
Considerable Impact ◽  
The Difference ◽  
Disease Diffusion

Abstract Objective The COVID-19 outbreak started in Italy on February 20th, 2020, and has resulted in many deaths and intensive care unit (ICU) admissions. This study aimed to illustrate the epidemic COVID-19 growth pattern in Italy by considering the regional differences in disease diffusion during the first three months of the epidemic. Study design and methods Official COVID-19 data were obtained from the Italian Civil Protection Department of the Council of Ministers Presidency. The mortality and ICU admission rates per 100 000 inhabitants were calculated at the regional level and summarized via a Bayesian multilevel meta-analysis. Data were retrieved until April 21st, 2020. Results The highest cumulative mortality rates per 100 000 inhabitants were observed in northern Italy, particularly in Lombardia (85.3, 95% credibility intervals [CI] 75.7–94.7). The difference in the mortality rates between northern and southern Italy increased over time, reaching a difference of 67.72 (95% CI = 66–67) cases on April 2nd. Conclusions Northern Italy showed higher and increasing mortality rates during the first three months of the epidemic. The uncontrolled virus circulation preceding the infection spreading in southern Italy had a considerable impact on system burnout. This experience demonstrates that preparedness against the pandemic is of crucial importance to contain its disruptive effects.

scholarly journals Prognostic Assessment of the Performance Parameters for the Industrial Diesel Engines Operated with Microalgae Oil

2021 ◽  
Vol 13 (11) ◽  
pp. 6482
Author(s):  
Sergejus Lebedevas ◽  
Laurencas Raslavičius
Keyword(s):  
Energy Efficiency ◽  
Diesel Engine ◽  
High Speed ◽  
Performance Parameters ◽  
Prognostic Assessment ◽  
High Speed Diesel ◽  
Microalgae Oil ◽  
The Difference ◽  
Smoke Opacity ◽  
Efficiency Indicators

A study conducted on the high-speed diesel engine (bore/stroke: 79.5/95.5 mm; 66 kW) running with microalgae oil (MAO100) and diesel fuel (D100) showed that, based on Wibe parameters (m and φz), the difference in numerical values of combustion characteristics was ~10% and, in turn, resulted in close energy efficiency indicators (ηi) for both fuels and the possibility to enhance the NOx-smoke opacity trade-off. A comparative analysis by mathematical modeling of energy and traction characteristics for the universal multi-purpose diesel engine CAT 3512B HB-SC (1200 kW, 1800 min−1) confirmed the earlier assumption: at the regimes of external speed characteristics, the difference in Pme and ηi for MAO100 and D100 did not exceeded 0.7–2.0% and 2–4%, respectively. With the refinement and development of the interim concept, the model led to the prognostic evaluation of the suitability of MAO100 as fuel for the FPT Industrial Cursor 13 engine (353 kW, 6-cylinders, common-rail) family. For the selected value of the indicated efficiency ηi = 0.48–0.49, two different combinations of φz and m parameters (φz = 60–70 degCA, m = 0.5 and φz = 60 degCA, m = 1) may be practically realized to achieve the desirable level of maximum combustion pressure Pmax = 130–150 bar (at α~2.0). When switching from diesel to MAO100, it is expected that the ηi will drop by 2–3%, however, an existing reserve in Pmax that comprises 5–7% will open up room for further optimization of energy efficiency and emission indicators.

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