Does Technological Progress Provide a Win–Win Situation in Energy Consumption? The Case of Ghana

2019 ◽  
pp. 363-385 ◽  
Author(s):  
Philip Kofi Adom ◽  
Paul Adjei Kwakwa
Keyword(s):  
Energy Consumption ◽  
Technological Progress

scholarly journals Mechanisms of Environmental Regulation’s Impact on Green Technological Progress—Evidence from China’s Manufacturing Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Technological Change ◽  
Environmental Protection ◽  
Technological Progress ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Chinese Manufacturing Industry

As the world’s largest developing country, and as the home to many of the world’s factories, China plays a crucial role in the sustainable development of the world economy regarding environmental protection, energy conservation, and emission reduction issues. Based on the data from 2003–2015, this paper examined the green total factor productivity and the technological progress in the Chinese manufacturing industry. A slack-based measure (SBM) Malmquist productivity index was used to measure the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC) by decomposing the technological progress. It also investigated the mechanism of environmental regulation, property right structure, enterprise-scale, energy consumption structure, and other factors on China’s technological progress bias. The empirical results showed the following: (1) there was a bias of technological progress in the Chinese manufacturing industry during the research period; (2) although China’s manufacturing industry’s output tended to become greener, it was still characterized by a preference for overall CO2 output; and (3) the impact of environmental regulations on the Chinese manufacturing industry’s technological progress had a significant threshold effect. The flexible control of environmental regulatory strength will benefit the Chinese manufacturing industry’s technological development. (4) R&D investment, export delivery value, and structure of energy consumption significantly contributed to promoting technological progress. This study provides further insight into the sustainable development of China’s manufacturing sector to promote green-biased technological progress and to achieve the dual goal of environmental protection and healthy economic growth.

Study on the industrial structure optimization under constraint of energy intensity

2020 ◽  
pp. 0958305X2092159
Author(s):  
Xiongfeng Pan ◽  
Mengna Li ◽  
Chenxi Pu ◽  
Haitao Xu
Keyword(s):  
Energy Consumption ◽  
Computable General Equilibrium ◽  
Technological Progress ◽  
Energy Intensity ◽  
Industrial Structure ◽  
High Energy ◽  
Industrial Sector ◽  
Added Value ◽  
Tertiary Industry ◽  
Intensity Control

This study establishes a multi-sector dynamic computable general equilibrium framework that integrates energy intensity module to explore the reverse feedback effect of energy intensity control on industry structure. The results indicate that (1) the tightening effect of energy intensity constrains on the Industrial sector is most significant, followed by the Tertiary Industry, with the least impact on Agriculture; (2) when there is no technological progress in the departments, the change of industrial structure is mainly reflected in the sharp decline in the proportion of Industry and the significant increase in the proportion of Tertiary Industry. When technological progress exists in high energy-consumption departments, the tightening effect of energy intensity constraints on the industrial sector will be reduced; when there is technological progress in all departments, the industrial structure will have a smaller change, and the technology progress can alleviate the tightening effect of the energy intensity target on various sectors; (3) under the constraint of energy intensity, the high energy-consuming industry shifts to the Equipment Manufacturing with low energy-consumption and high-added value. The increasing proportion of Tertiary Industry mainly comes from two industries including Wholesale, Retail, Hoteling and Catering, and Transportation, Storage, and Post.

Technological Progress of General Hot Dip Galvanizing

2017 ◽  
Vol 873 ◽  
pp. 71-79
Author(s):  
Xun Hua Yuan ◽  
Qi Fu Zhang
Keyword(s):  
Energy Consumption ◽  
Product Quality ◽  
Production Technology ◽  
Technological Progress ◽  
Improve Product Quality ◽  
Environmental Friendly ◽  
Advanced Technologies ◽  
Great Progress ◽  
Technological Developments ◽  
Reduce Energy Consumption

Chinese general hot dip galvanizing industry has made great progress in recent years, with an annual output of more than 13 million tons. In China, general hot dip galvanized products were widely applied in many fields such as power facilities, construction, transportation, etc. Through the introduction of a series of advanced technologies including cleaner production technology, the general galvanizing industry was more environmental friendly and sustainable. In the future, Chinese general hot dip galvanizing industry will continue to pay attention to technological developments so as to improve product quality, reduce energy consumption and pollution.

scholarly journals Does change of industrial structure affect energy consumption structure: A study based on the perspective of energy grade calculation

2018 ◽  
Vol 37 (1) ◽  
pp. 579-592 ◽  
Author(s):  
Yang Hong ◽  
Peng Can ◽  
Yang Xiaona ◽  
Li Ruixue
Keyword(s):  
Energy Consumption ◽  
Calculation Method ◽  
Technological Progress ◽  
Industrial Structure ◽  
Energy Resources ◽  
Energy Sources ◽  
Energy Structure ◽  
Consumption Structure ◽  
The Difference ◽  
The Impact

In this article, the grades of different kinds of energy sources are distinguished. Thus, we put forward an equivalent electric calculation method, which is compliant with the calculation of various energy resources that have different grades. Based on this aspect, we empirically analyzed the influence of industrial structure changing on energy consumption structure by analyzing panel data in 30 provinces of China from 2003 to 2013. Results showed that the calculated results of equivalent electric calculation method were more accurate because it considered the difference in grades between various energy sources. Industrial structure changing had a significant impact on energy consumption structure. The upgrading and rationalization of the industrial structure had a significant promotion on energy structure cleaning. In addition, technological progress was conducive to the clean development of energy structure, the decrease in energy price boosted energy structure cleaning, and the impact of economic level on energy consumption structure was not significant.

How to control China's energy consumption through technological progress: A spatial heterogeneous investigation

Energy ◽  
2022 ◽  
Vol 238 ◽  
pp. 121965
Author(s):  
Junbing Huang ◽  
Shiqi Xiang ◽  
Panling Wu ◽  
Xiang Chen
Keyword(s):  
Energy Consumption ◽  
Technological Progress

scholarly journals Forecasting Load on PT PLN (Persero) Metro Substations (GI) Using Combined Methods for Electrical Needs in Metro City 2019 - 2029

Electrician ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 43
Author(s):  
Candra Saigustia
Keyword(s):  
Energy Consumption ◽  
Technological Progress ◽  
Peak Load ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Growth Data ◽  
Combined Method ◽  
Energy Needs ◽  
Technological Developments ◽  
Number Of Customers

Abstract — Electricity consumption in Metro City has increased along with the increase in population, economic activity, technological progress and growth of households. Electrical energy is needed for the interests of industry, households and other activities as well as to support increasingly advanced technological developments The researcher used load forecasting with a combined method based on economic growth, population growth, and the growth of households in Metro City. The data used in this study are growth data that occurred from 2014 to 2018. The results of this paper is forecasting the number of customers, load energy consumption (MWh), total energy requirements (MWh), connected power (kVA), and peak load (MW). Energy consumption growth every year has the same tendency as in previous years. In the household sector, energy consumption will grow higher each year than other sectors. In 2029, it estimated that the peak load that will occur at Metro substations, PT PLN (Persero) Rayon Metro City is 92.62 MW.Keywords — Forecasting, Electrical Energy Needs, Combined Method, PT PLN, Metro City

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