Dynamic Modelling and Policy Analysis on Technological Progress and the Change of Industrial Structure

1989 ◽  
pp. 574-586
Author(s):  
Qingrui Xu ◽  
Hanping Li
Keyword(s):  
Policy Analysis ◽  
Technological Progress ◽  
Industrial Structure ◽  
Dynamic Modelling

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.

scholarly journals Innovation, Information, and Financial Architecture

2006 ◽  
Vol 41 (4) ◽  
pp. 753-786 ◽  
Author(s):  
Solomon Tadesse
Keyword(s):  
Cross Section ◽  
Technological Progress ◽  
Industrial Structure ◽  
Technological Innovations ◽  
Large Cross Section ◽  
Economic Sectors ◽  
Financial Architecture ◽  
Industrial Sectors ◽  
Positive Effect ◽  
Better Than

AbstractDoes a financial system architecture anchored on banks perform better than one centered on markets in fostering technological innovations as engines of growth? In a panel of industrial sectors across a large cross section of countries, I find that while market-based systems have a general positive effect on innovations in all economic sectors, bank-based systems foster more rapid technological progress in more information-intensive industrial sectors, suggesting a heterogeneous impact of financial architecture. Thus, the relative performance of bank-based systems vis-à-vis market-based systems depends on the industrial structure of the economy.

scholarly journals Analysis on the Factors Influencing the International Technology Transfer Based on ISM Model

2016 ◽  
Vol 8 (3) ◽  
pp. 206 ◽  
Author(s):  
Jing Shouwu ◽  
Xia Yong ◽  
Li Zheng
Keyword(s):  
Economic Development ◽  
International Trade ◽  
Technology Transfer ◽  
Influencing Factors ◽  
Technological Progress ◽  
Industrial Structure ◽  
International Technology Transfer ◽  
Trade Patterns ◽  
Deep Roots ◽  
Development Level

<p>The technology is not only an indispensable element involved in international trade, but also an important factor affecting the comparative advantage and trade patterns in international trade. Based on predecessors’ research and practice experience, this dissertation selects 20 factors to study the influencing factors, such as international technology transfer, the construction of infrastructure, the complexity of technological progress, economic development level and so on. By using the ISM model, the paper studies the correlation and gradation of influencing factors of international technology transfer. The analysis indicates there are 4 direct factors on surface and. 6 factors on path: the applicability and negotiability of the technology, international technology transfer intermediary. 3 direct factors: the construction of infrastructure. 5 indirect factors: environment changes of international economy, the complexity of technological progress. 2 factors in deep roots: economic development level and changes of industrial structure. Based on this, the paper puts forward corresponding countermeasures and suggestions from five aspects. Meanwhile, it provides certain references to improve the international technology transfer level, promote using international technology transfer to improve technology level, and upgrade the industrial structure.</p>

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.

scholarly journals Temporal and Spatial Differentiations in Environmental Governance

2018 ◽  
Vol 15 (10) ◽  
pp. 2242 ◽  
Author(s):  
Benhong Peng ◽  
Yue Li ◽  
Guo Wei ◽  
Ehsan Elahi
Keyword(s):  
Economic Development ◽  
Technological Progress ◽  
Environmental Governance ◽  
Industrial Structure ◽  
Efficiency Index ◽  
Tobit Model ◽  
Scale Efficiency ◽  
Spatial Efficiency ◽  
Urban Construction ◽  
Temporal And Spatial

With the general degradation of environmental carrying capacity in recent years, many developing countries are facing with the dual task of economic development and environmental protection. To explore the issue of urban environmental governance, in this research, we establish a Data Envelopment Analysis (DEA) model to investigate the environmental governance regarding temporal and spatial efficiency. Further, we deconstruct environmental governance efficiency into comprehensive efficiency, pure technical efficiency, and scale efficiency and develop a Tobit model to analyze the influencing factors affecting urban environmental governance efficiency. In addition, the above DEA, Tobit model, and deconstruction of efficiency have been applied to study environmental governance efficiency for the Yangtze River urban agglomeration. Findings include: (1) The gap in environmental governance efficiency between cities is highly noticeable, as the highest efficiency index is 0.934, the lowest is only 0.246, and the comprehensive efficiency index has fallen sharply from 0.708 to 0.493 in the past 10 years; (2) Environmental governance efficiency is basically driven by technological progress, while the scale efficiency change index is the main driver of the technological progress change index; (3) For environmental governance efficiency, urbanization and capital openness are irrelevant factors, economic level and urban construction are unfavorable factors, and industrial structure and population density are favorable factors. These findings will help urban agglomerations to effectively avoid the adverse effects of environmental governance efficiency in economic development, and achieve a coordinated development of urban construction and environmental governance.

scholarly journals Statistical Analysis on the Effect of the Utilization of Mineral Resources on the Environmental Impact in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8462
Author(s):  
Wenqi Zhu ◽  
Kangkang Zhang ◽  
Deyi Xu ◽  
Ziyuan Liu ◽  
Jingke Gao
Keyword(s):  
Environmental Pollution ◽  
Environmental Regulation ◽  
Pollution Control ◽  
Technological Progress ◽  
Industrial Structure ◽  
Mineral Resources ◽  
Spatial Econometric ◽  
Synergistic Mechanism ◽  
Technological Level ◽  
The Impact

Based on the spatial econometric model, this paper mainly studies the impact of the utilization of mineral resources on environmental pollution and the impact of environmental regulation on the utilization of mineral resources in 30 provincial regions from 2003 to 2016, and analyzes the impact mechanism of heterogeneity and synergy. The results show that the utilization of mineral resources intensifies the degree of environmental pollution and the degree of economic spatial agglomeration, while environmental regulation can effectively restrain the utilization of mineral resources in the region and the near adjacent areas. Through the analysis results of synergistic mechanism, it can be seen that the improvement of industrial structure alleviates the impact of the utilization of mineral resources on environmental pollution and the restraining effect of environmental regulation on it. The improvement of technological progress has improved the environmental pollution caused by the utilization of mineral resources in this area, but intensified the environmental pollution degree of the utilization of mineral resources in neighboring areas. In the current technological level, the neighboring areas will consume more mineral resources to meet a certain demand, thus aggravating the environmental pollution of the utilization of mineral resources in the neighboring areas. The enhanced intensity of government management significantly improves the pollution control efficiency of environmental regulation on the utilization of mineral resources.

The Factor Analysis of Energy Efficiency Based on Technological Progress, the Changes of Industrial Structure and the Living Consumption

2011 ◽  
Vol 347-353 ◽  
pp. 2897-2901
Author(s):  
Zhi Bin Li ◽  
Xi Ju Lu
Keyword(s):  
Energy Efficiency ◽  
Development Strategy ◽  
Technological Progress ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Intensity Change ◽  
Negative Effect ◽  
Strategic Advice ◽  
Life Consumption ◽  
Efficiency Data

Energy efficiency is one important index of a regional economic and social sustainable development strategy. To find some original factors influenced on the energy efficiency, we used energy data concerned during 1996-2008 in China and calculated the efficiency data in Laspeyres Decomposition, then analyzed the factors' influence values and energy efficiency's developing trend, at last, put forward the strategic advice. The data showed that energy intensity has declined from 1996 to 2008, and energy intensity change was mainly affected by technological progress factors. Except for 2002 to 2003, the energy intensity was declining in rest periods, and the factor of technological progress and the factor of the drop in life consumption have been playing positive roles to the decrease in the energy intensity, while the unreasonable industrial structure change had a negative effect on the decrease in the energy intensity.

Empirical Study of Industrial Classification, Structure, and Factor Intensity: An Enquiry into Dwindling Labor Intensity in a Labor-Surplus Economy

2020 ◽  
pp. 239490152097742
Author(s):  
Swapnil Soni ◽  
M.H. Bala Subrahmanya
Keyword(s):  
Technological Progress ◽  
Industrial Structure ◽  
Derived Categories ◽  
Labor Intensity ◽  
Factor Intensity ◽  
Employment Trends ◽  
The One ◽  
Capital Intensive ◽  
Empirical Approaches

In the process of economic growth, industrial structure exhibits changes in terms of factor intensity, output, and employment. This study presents the dynamics of industrial structure by empirically investigating the factor intensity and employment at distinct derived categories of registered Indian manufacturing industries. To probe the industrial structures, the study proposes empirical approaches for classification of industries based on use-based classification and factor intensity. The results reveal the dwindling trend of labor intensity across categories of industries implying technological progress, on the one hand, and employment concerns, on the other. An investigation of employment scenario reveals a heartening finding for the current industrial structure: both labor-intensive and capital-intensive (CI) industries exhibit increasing employment trends. In contrast with the conventional perception, capital goods industries are found to absorb an increasing amount of labor relative to capital. Accordingly, in the recent years, CI industries drove employment generation while adopting technological progress resulting from capital deepening and thereby maintained a high labor productivity.

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