Industrial Structure and Sustainable Development Research—Taking the Industrial Development of Huixian City as an Example

2019 ◽  
Vol 09 (03) ◽  
pp. 374-380
Author(s):  
宁 贺
Keyword(s):  
Sustainable Development ◽  
Industrial Development ◽  
Industrial Structure ◽  
Development Research

scholarly journals Fujian’s Industrial Eco-Efficiency: Evaluation Based on SBM and the Empirical Analysis of lnfluencing Factors

2018 ◽  
Vol 10 (9) ◽  
pp. 3333 ◽  
Author(s):  
Xiaoqing Wang ◽  
Qiuming Wu ◽  
Salman Majeed ◽  
Donghao Sun
Keyword(s):  
Sustainable Development ◽  
Influencing Factors ◽  
Business Strategy ◽  
Industrial Development ◽  
Industrial Structure ◽  
Economic Benefits ◽  
Tobit Regression ◽  
Fujian Province ◽  
Systematic Analysis ◽  
Measure Model

The coordinated development of industrialization and its ecological environment are vital antecedents to sustainable development in China. However, along with the accelerating development of industrialization in China, the contradiction between industrial development and environment preservation has turned out to be increasingly evident and inevitable. Eco-efficiency can be seen either as an indicator of environmental performance, or as a business strategy for sustainable development. Hence, industrial eco-efficiency promotion is the key factor for green industrial development. This study selects indicators relevant to resources, economy, and the environment of industrial development, and the indicators can well reflect the characteristics of industrial eco-efficiency. The SBM (Slacks-Based Measure) model overcomes the limitations of a radial model and directly accounts for input and output slacks in the efficiency measurements, with the advantage of capturing the entire aspect of inefficiency. This study evaluates the industrial eco-efficiency of nine cities in Fujian province during the period of 2006–2016, based on undesired output SBM (Slacks-Based Measure) model and also uses a Tobit regression model to analyze the influencing factors. The results show that there is a positive correlation among the economic development level, opening level, research and development (R&D) innovation, and industrial eco-efficiency in Fujian Province. However, a negative correlation was found between the industrial structure and industrial eco-efficiency in Fujian Province. Moreover, environmental regulation in Fujian Province was not found to significantly influence the industrial eco-efficiency. Hence, through the systematic analysis of industrial eco-efficiency and its influencing factors in Fujian, the study gives further insight on how policy-making can help achieve sustainable development, balancing between economic benefits and ecological improvements.

Talk about the Cultivation of High-Skilled Personnel from the Angle of Professional Features

2010 ◽  
Vol 439-440 ◽  
pp. 732-736
Author(s):  
Jin Yu Wei ◽  
Ai Fen Sun
Keyword(s):  
Sustainable Development ◽  
Industrial Development ◽  
Industrial Structure ◽  
Specific Policy ◽  
Skilled Professional ◽  
Skilled Personnel ◽  
Economic Construction ◽  
Policy Proposals

With the rapid and sustainable development of China's economic construction and adjustment of industrial structure, requires a lot of high-skilled personnel. At present, the shortage of high-skilled personnel in China, has become the bottleneck restricting industrial development. In this paper, from the angle of professional features of high-skilled professional, put forward specific policy proposals for the cultivation of high-skilled personnel, with a view to the cultivation of high-skilled personnel can have constructive significance and help.

A Comparison Study of Industrial Structure Transformation Capacity of Resource-Based Cities in China West

2012 ◽  
Vol 616-618 ◽  
pp. 1331-1334
Author(s):  
Yan Shuang She ◽  
Meng Gang Li ◽  
Jing Hua Sha
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Industrial Development ◽  
Industrial Structure ◽  
Local Economic Development ◽  
Structure Transformation ◽  
Comparison Theory ◽  
Structure Comparison ◽  
Transformation Capacity ◽  
Regional Industrial Structure

The sustainable development of resource-based cities is a hot issue in China. This paper will focus on the industrial structure of sustainable development. There is close relationship between regional economic development and industrial structure transformation Capacity. Comparison research of cities’ regional industrial structure capacity will help to understand variation status and potential of regional industrial structures. With principal components analysis, this paper based on the regional industrial structure comparison theory, analyzed industrial structure transformation Capacity of 20 resource-based cities in China west. It will provide references for promoting optimization and upgrading of regional industrial structure, making regional industrial development strategy, improving environmental conditions, and enhancing local economic development.

scholarly journals Exploring the Effects of Industrial Structure, Technology, and Energy Efficiency on China’s Carbon Intensity and Their Contributions to Carbon Intensity Target

2020 ◽  
Vol 12 (19) ◽  
pp. 8016
Author(s):  
Feng Wang ◽  
Min Wu ◽  
Jiachen Hong
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Historical Development ◽  
Industrial Development ◽  
Industrial Structure ◽  
Electricity Production ◽  
Mitigation Measures ◽  
Carbon Intensity ◽  
Intermediate Input ◽  
Residential Energy

To achieve the national carbon intensity (NCI) target, China should adopt effective mitigation measures. This paper aims to examine the effects of key mitigation measures on NCI. Using the input-output table in 2017, this paper establishes the elasticity model of NCI to investigate the effects of industrial development, intermediate input coefficients, energy efficiency, and residential energy saving on NCI, and further evaluates the contributions of key measures on achieving NCI target. The results are shown as follows. First, the development of seven sectors will promote the increase of NCI while that of 21 sectors will reduce NCI. Second, NCI will decrease significantly with the descending of intermediate input coefficients of sectors, especially electricity production and supply. Third, improving energy efficiency and residential energy saving degree could reduce NCI, but the latter has limited contribution. Fourth, the development of all sectors will reduce NCI by 10.11% in 2017–2022 if sectors could continue the historical development trends. Fifth, assuming that sectors with rising intermediate input coefficients would keep their coefficients unchanged in the predicting period and sectors with descending coefficients would continue the historical descending trend, the improvement of technology and management of all sectors will reduce NCI by 14.02% in 2017–2022.

scholarly journals Sustainable Performance Evaluation: Evidence from Listed Chinese Mining Corporations

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 349
Author(s):  
Yuan Ma ◽  
Jingzhi Men ◽  
Mingyu Li ◽  
Xiaoyan Li
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Industrial Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
Entropy Weight ◽  
Four Dimensions ◽  
Sustainable Performance ◽  
Research Gap ◽  
Development Evaluation

Rapid industrial development has caused a series of environmental problems, which is not conducive to sustainable development of society as a whole. It is necessary to build a sustainable development evaluation system. Most of the existing literature has evaluated corporate sustainable performance from the economy, environment and society on the basis of triple bottom lines. Considering the research gap and the practice need, an evaluation system is established from four dimensions, referred to as economy, society, environment and responsibility management, and 29 indicators are designed to measure these four dimensions. Twenty seven listed Chinese mining corporations are selected as research samples, and the entropy-weight-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to calculate indicators’ weights. Results show that the four dimensions of sustainable performance weights from high to low are society, environment, economy, and management process.

scholarly journals Ensuring and assessing the sustainability of a management system of the investment and construction complex at the meso-level

2018 ◽  
Vol 170 ◽  
pp. 01119 ◽  
Author(s):  
Svetlana Uvarova ◽  
Ludmila Myshovskaya ◽  
Kirill Kulakov
Keyword(s):  
Sustainable Development ◽  
Management System ◽  
Industrial Structure ◽  
Practical Implementation ◽  
Economic Changes ◽  
The Sustainable Development ◽  
Meso Level ◽  
Industrial Management ◽  
Construction Enterprises ◽  
Managerial Decisions

In this paper the author suggests a methodological toolkit for assessing the sustainability of the investment and construction complex at the meso-level of management. To ensure the sustainable development of the investment and construction complex, it is necessary to maintain the effective industrial structure that ensures the achievement of social effects, assists to preserving the trend of long-term economic growth and contributes to the increase in competitiveness of domestic construction enterprises. The methodological toolkit is based on the methods of the pricing theory and is necessary for the scientific substantiation of the accepted managerial decisions at the level of industrial management, for the formation of the optimal industrial structure, and for the development of effective methods of a tax policy. Practical implementation of methodological developments, conducted through the example of the regional investment and construction complex of the Voronezh region, allowed empirically to confirm the formulated principles of planning and implementing the organizational and economic changes in the management system of the investment and construction complex to ensure its sustainable development.

scholarly journals Inclusive Growth in CEE Countries as a Determinant of Sustainable Development

2018 ◽  
Vol 10 (11) ◽  
pp. 3973 ◽  
Author(s):  
Ewa Cichowicz ◽  
Ewa Rollnik-Sadowska
Keyword(s):  
Sustainable Development ◽  
Multivariate Analysis ◽  
Czech Republic ◽  
Transition Economies ◽  
Eastern European ◽  
Inclusive Growth ◽  
Development Research ◽  
The Czech Republic ◽  
Components Analysis ◽  
Eastern European Countries

Pursuant to the concept of inclusive growth, the authors analyze the transition economies of Central and Eastern European countries, which have become EU members (Bulgaria, Croatia, the Czech Republic, Estonia, Latvia, Lithuania, Hungary, Poland, Romania, Slovakia, and Slovenia). CEE countries characterized by comparable historic and economic backgrounds now seem to reach diversified stages of development. The objective of the study is to identify the level of inclusive growth among CEE countries by taking into account indicators assigned to its seven pillars. The article’s thesis is that CEE countries represent social and economic heterogeneity as well as varied levels of sustainable development. Research methods included the application of the principal components analysis and the multivariate analysis. For a literature review, the bibliometric analysis was conducted with the visualization prepared by the VOSviewer software. The main findings suggest that Estonia, Slovenia, and the Czech Republic seem to exhibit the highest level of inclusive growth while Bulgaria and Romania represent the lowest level of indicators measured.

scholarly journals Coevolution of Economic and Industrial Linkages within the Land-Sea Industrial Structure of China

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3452
Author(s):  
Xue Jin ◽  
Shiwei Zhou ◽  
Ussif Rashid Sumaila ◽  
Kedong Yin ◽  
Xinman Lv
Keyword(s):  
Industrial Development ◽  
Industrial Structure ◽  
Southern China ◽  
Relational Model ◽  
Industrial Structures ◽  
Resource Endowment ◽  
Significant Difference ◽  
Spatial Differences ◽  
Industrial Linkages ◽  
Effects Of Feedback

The joint development of continental and marine economies has become an important driving force for the upgrading of industrial structures. However, because of the differences in resource endowment and development potential, developing industrial structures and the quality of economic development are uneven among regions. In this study, the added values of three land-sea industries in the three marine economic circles of northern, eastern, and southern China, were employed to clarify the evolutionary behavior of the industrial structure of these three circles on the land and sea; the synchronization, lag, equilibrium, and dislocation of developing the industrial structure were also explored which a gray relational model based on convex judgment and gray time difference analyses were used to construct a relational model from the static and dynamic aspects of the system, and the internal and external linkages of the industrial structure of the three circles were analyzed from the perspective of industrial correlation. The results show that: (1) Correlations among the linkages of the three economic circles in the marine industrial structure, both including and without temporal and spatial differences, and the marine feedback driver, differ markedly. (2) The effects of feedback for marine industrial development from the Eastern Marine Economic Circle were stronger, whereas those of the Southern Marine Economic Circle were weak and those of the Northern Marine Economic Circle were ambiguous. (3) A significant difference was observed in the degree of coevolution among the land-sea industrial structures of these areas. The Northern Marine Economic Circle exhibited a slightly higher degree of coevolution than the other two economic circles, showing a stable trend of coevolution and wide spatial development. The eastern and southern circles displayed high degrees of coordination in developing their industrial structures. The research results provide a reference for regional adjustment and optimization of industrial structure.

scholarly journals Carbon Productivity and Mitigation: Evidence from Industrial Development and Urbanization in the Central and Western Regions of China

2021 ◽  
Vol 13 (16) ◽  
pp. 9014
Author(s):  
Yongjiao Wu ◽  
Huazhu Zheng ◽  
Yu Li ◽  
Claudio O. Delang ◽  
Jiao Qian
Keyword(s):  
Carbon Emissions ◽  
Industrial Development ◽  
Industrial Structure ◽  
Spillover Effects ◽  
Spatial Lag Model ◽  
Workforce Allocation ◽  
Lag Model ◽  
Using Data ◽  
Shape Curve ◽  
Carbon Productivity

This paper investigates carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions. We propose a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018. The results show that the slowly increasing CP has significant spatial spillover effects, with High–High (H–H) and Low–Low (L–L) spatial distributions in the central and western regions of China. In addition, industrial development and urbanization in the study area play different roles in CP, while economic urbanization and industrial fixed investment negatively affect CP, and population urbanization affects CP along a U-shape curve. Importantly, the results show that the patterns of industrial development and urbanization that influence CP are homogenous and mutually imitated in the 17 studied provinces. Furthermore, disparities in CP between regions are due to industrial workforce allocation (TL), but TL has been inefficient; industrial structure upgrades are slowly improving conditions. Therefore, the findings suggest that, in the short term, policymakers in China should implement industrial development policies that reduce carbon emissions in the western and central regions by focusing on improving industrial workforce allocation.

Sign in / Sign up

Export Citation Format

Share Document