Impacts of productive efficiency improvement in the global metal industry on CO2 emissions

2019 ◽  
Vol 248 ◽  
pp. 109261 ◽  
Author(s):  
Hirotaka Takayabu ◽  
Shigemi Kagawa ◽  
Hidemichi Fujii ◽  
Shunsuke Managi ◽  
Shogo Eguchi
Keyword(s):  
Co2 Emissions ◽  
Productive Efficiency ◽  
Metal Industry ◽  
Efficiency Improvement

scholarly journals Energy benchmarking in educational buildings in the city of Kragujevac - possibilities for energy efficiency improvement

2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Energy Benchmarking

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.

scholarly journals Assessment of the Energy Efficiency Improvement of Twenty-Five Countries: A DEA Approach

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1535 ◽  
Author(s):  
Lai-Wang Wang ◽  
Ke-Duc Le ◽  
Thi-Duong Nguyen
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Developed Countries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Efficiency Improvement ◽  
Balanced Development ◽  
Energy Efficiency Improvement ◽  
Carbon Dioxide Co2

Since energy efficiency and energy improvement are viewed as two of the most important keys of sustainable management, research on energy has become popular and captured much more attention. The current paper aimed to measure the energy efficiency of 25 countries with carbon dioxide (CO2) emissions as well as their energy efficiency improvement. First, a data envelopment analysis (DEA) slack-based model (SBM) was employed to obtain efficiency scores. Second, the Malmquist Productivity Index (MPI) was then used to examine the improvement during the period of 2010–2017. Findings of this study showed that developed countries had a more balanced development between gross domestic product (GDP) growth and CO2 emissions by using the same inputs as developing countries. Additionally, the findings revealed that India and China, being the two largest population countries, achieved improved energy intensity during 2010–2017; however; their energy consumption and CO2 emissions continued to grow, leading them to being the two worst countries in terms of energy efficiency.

Measuring regional differences of construction productive efficiency in China

2019 ◽  
Vol 27 (4) ◽  
pp. 952-974
Author(s):  
Ming Luo ◽  
HQ Fan ◽  
Guiwen Liu
Keyword(s):  
Regional Differences ◽  
Production Efficiency ◽  
Efficient Frontier ◽  
Productive Efficiency ◽  
Advanced Technology ◽  
Eastern Region ◽  
Efficiency Improvement ◽  
Market Demand ◽  
Skilled Workers ◽  
Content Type

Purpose As one of the pillar sectors, China’s construction industry (CE) is not efficient in productivity with large regional gaps over the past decades. It is crucial for stakeholders to have insightful information on regional input of resources and output of productive efficiency for making policies and investment decisions. The purpose of this paper is to develop an efficiency measurement for the CE and explore the regional differences of construction productive efficiency across the three regions of China. Design/methodology/approach Data envelopment analysis (DEA) is an objective benchmarking methodology used for measuring the performance of construction productivity. Distance friction minimization (DFM) approach, based on DEA model, is applied to identify the causes of inefficiency, sources of growth and the optimal paths to efficient frontier for regional CE. Further studies are conducted to provide insightful information for efficiency improvement, according to DFM modeling results and empirical analysis. Findings The results indicate that eastern region leads construction development due to strong performance of coastal provinces. Faced with decreasing supply of skilled workers in developed region, investing more on construction plants and equipment for labor savings is more efficient to the long-term productivity growth of CE in the east. For developing midland region, heavy reliance on cheap manpower should be gradually relieved by allocating more budgets to vocational training and education program to boost quality labor supply, as well as making steady investment on construction equipment and advanced technology. In underdeveloped western region, raising construction labor wages is recommended to attract more workers to meet the market demand and achieve an optimal production efficiency in the CE. Originality/value The findings provide insights into the causes of inefficiency, the sources of growth and the best strategies for efficiency improvement in regional CE, recommendations are made for policy making and strategic planning to enhance the overall performance of China’s construction productive efficiency.

The bacterial 4S pathway – an economical alternative for crude oil desulphurization that reduces CO2 emissions

2020 ◽  
Vol 22 (22) ◽  
pp. 7604-7621
Author(s):  
João P. M. Sousa ◽  
Pedro Ferreira ◽  
Rui P. P. Neves ◽  
Maria J. Ramos ◽  
Pedro A. Fernandes
Keyword(s):  
Crude Oil ◽  
Co2 Emissions ◽  
Enzyme Engineering ◽  
Efficiency Improvement ◽  
4S Pathway ◽  
Catalytic Rate ◽  
Economical Alternative

We discuss structural and mechanistic aspects of the Dsz enzymes in the 4S pathway, with a focus on rational molecular strategies for enzyme engineering, aiming at enzyme catalytic rate and efficiency improvement to meet industrial demands.

The Scenario Analysis of Low-Carbon Development on the Basis of Improved IPAT Model in China

2014 ◽  
Vol 1010-1012 ◽  
pp. 2050-2054
Author(s):  
Bing Yan He ◽  
Zhi Ming Zhu ◽  
Tian Miao Shen
Keyword(s):  
Co2 Emissions ◽  
Energy Structure ◽  
Efficiency Improvement ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Energy Efficiency Improvement ◽  
Development Technology ◽  
Low Carbon Development ◽  
Business As Usual ◽  
Carbon Economy

It is an important strategic choice for countries to develop low-carbon economy while dealing with climate change. The paper gives a forecast and analysis on population, economic development, technology, energy consumption and CO2 emissions variation in China before 2020 as setting the year 2007 as the base year by using IPAT model. Three scenarios of CO2 emissions are set including business as usual (BAU), energy efficiency improvement scenario (EEI), and low carbon scenario (LC). The result shows that the LC scenario is the most appropriate and the most feasible scenario for China to achieve the low-carbon development in the future. Assuming that China’s future development follows the LC scenario, we give three suggestions of low-carbon transformation in China: technological innovation, energy structure optimization and policy advice.

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