scholarly journals The Transfer Mechanism of Pollution Industry in China Under Multi-factor Combination Model--Based on Industry, Location and Environment Perspectives

2021 ◽  
Author(s):  
chuang li ◽  
wenjing xia ◽  
liping wang
Keyword(s):  
Environmental Factors ◽  
Transfer Mechanism ◽  
Ecological Civilization ◽  
Positive Role ◽  
Industrial Transformation ◽  
The Sustainable Development ◽  
Industrial Transfer ◽  
Regional Coordination ◽  
Green Development ◽  
Factor Combination

Abstract In the process of industry transfer, how to ensure the sustainable development of ecological environment is a very important problem for every local government. Therefore, this paper introduces environmental factors into the transfer mechanism of pollution industry, establishes a Triangle Model, and empirically studies the transfer mechanism of China’s pollution industry under various combination scenarios based on the panel data of 30 provinces in 2000–2015. The results show that: (1) The pollution industry transfer is the result of the change of regional competitive advantages; the industrial advantage is the primary factor of pollution industry transfer in China and is positive role in attracting industrial transfer. (2) With the continuous promotion of regional coordination strategy and ecological civilization construction, the attraction of regional factors to industry transfer has been reduced, and the inhibition of environmental factors to pollution industry is increasing. In addition, it is worth noting that China’s pollution industry had not gone to “innovation highland” but “environmental depression” during the research period, that is, the phenomenon of PHH more likely happened during the process of industry transfer among Chinese provinces. The paper suggests that all provinces should adhere to the concept of green development and promote industrial transformation and upgrading through industry transfer.

scholarly journals Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China

Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 40
Author(s):  
Gaolan Hou ◽  
Zhou Zou ◽  
Tianran Zhang ◽  
Yue Meng
Keyword(s):  
Economic Growth ◽  
Northeast China ◽  
Industrial Structure ◽  
Transformation Process ◽  
High Tech ◽  
Industrial Transformation ◽  
The Sustainable Development ◽  
Rational Development ◽  
Regional Coordination ◽  
The Impact

Based on the development of the industrial structure of prefecture-level resource-based cities in Northeast China, this paper selects three indicators of industrial structure—diversification, rationalization and upgrading—conducting empirical analysis on the transformation of the industrial structure of these resource-based cities. The effects of the industrial transformation of resource-based cities of the same kind are analysed and the development of industrial structure in different provinces is compared. It indicates that the transformation process and adjustment effect of the industrial structures in resource-based cities of Northeast China were different and were not very satisfactory on the whole and the secondary industry was still the leading industry in most cities. In addition, the article analyses the impact of the industrial transformation on the economic growth of resource-based cities in Northeast China. It can be concluded that the rationalization and upgrading of industrial structure generally promoted the cities’ economic growth. The promotion of industrial structure rationalization was greater than that of upgrading. In order to promote the sustainable development of resource-based cities’ economy in Northeast China and solve problems in the process of the cities’ development, two suggestions are proposed. One is to pay attention to the rational development of the industrial structure, so it is necessary to strengthen the overall planning of resource-based cities in the Northeast region, promote regional coordination and rationally arrange and adjust the industrial structure from the overall scope of the region. Another is to continue to promote the process of industrial structure upgrading by introducing high-tech industries through preferential policies and to develop relevant industries based on the advantages of the cities, instead of just extending the original industry.

Assessing the sustainability of the Siberian Federal District regions

2020 ◽  
Vol 18 (5) ◽  
pp. 891-908
Author(s):  
T.A. Smirnova
Keyword(s):  
Sustainable Development ◽  
Environmental Factors ◽  
Regional Development ◽  
Federal District ◽  
Integrated Approach ◽  
Siberian Federal District ◽  
The Sustainable Development ◽  
The Impact ◽  
Empirical Analyses

Subject. This article deals with the issues of functioning of the region as a system. Objectives. The article aims to identify the problems of the region's functioning as a system, develop methodological tools to monitor the sustainable development of the Siberian Federal District territories, and determine the the impact of socio-economic and environmental factors on the sustainable development of the region as a whole. Methods. For the study, I used the methods of theoretical, statistical, and empirical analyses taking into account an integrated approach. Results. The article reveals the impact of some individual components of regional development on the sustainability of the territorial system as a whole. Relevance. The results of the study can be used to analyze the sustainability of regions' development.

Directions of Accounting Environmental Factors for Forecasting Formation of Agroecosystems

2020 ◽  
pp. 31-35
Author(s):  
L.Z. Khalishkhova ◽  
◽  
A. Kh. Temrokova ◽  
I.R. Guchapsheva ◽  
K.A. Bogаtyreva ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Comparative Analysis ◽  
Environmental Factors ◽  
Environmental Safety ◽  
Logical Analysis ◽  
Management Decisions ◽  
The Sustainable Development ◽  
The Impact

Ensuring the sustainable development of agroecosystems requires research into the justification of the impact of environmental factors on the formation of territorial agroecosystems and identifies ways to take them into account in order to justify management decisions and ensure environmental safety. The main goal of the research within the article is to identify the most significant environmental factors in predicting the formation of agroecosystems. Provisions are devoted to the study of the laws governing the functioning of agroecosystems in order to increase their stability. The methods of comparative analysis, generalization, abstraction, logical analysis are applied. A number of provisions are formulated regarding ways to account for the influence of factors on the formation of key elements of agroecosystems.

Impact of Nanotechnology Patents on Green Development of China's Building Industry

2020 ◽  
Vol 14 (2) ◽  
pp. 141-152
Author(s):  
Xialing Sun ◽  
Rui Zhang ◽  
Xue Chen ◽  
Pengpeng Li ◽  
Jin Guo
Keyword(s):  
Total Factor Productivity ◽  
Inhibitory Effect ◽  
Building Industry ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Technological Support ◽  
Green Development ◽  
Panel Data Regression ◽  
The Impact ◽  
Building Engineering

Background: The sustainable development of the building industry has drawn increasing attention around the world. Nanomaterials and nanotechnology play an important role in the processes of energy saving and reducing consumption in the building industry. Nanotechnology patents provide key technological support for the green development of the building industry. Based on patent data in China, this paper quantitatively analyzed the application of nanotechnology patents in the building industry and the time trend, regional differences, and evolution of China's nano-patent applications in the building field. Methods: In this study, the environmental total factor productivity of the building industry considering carbon constraints was determined and then used as the dependent variable to measure the green development of the building industry. On this basis, a panel data regression model was constructed to determine the impact of nano-patents on the green development of the building industry. Results: Nanotechnology patents in the building industry can significantly improve total factor productivity. From the perspective of patent composition, technology-based patents that focus on substantial innovation can significantly promote the green development of the building industry, whereas strategic patents show a significant inhibitory effect. Regionally, the western region of China has the advantage of being less developed and thus more efficient than the central and eastern regions in the application of new nano-products. Finally, the research also showed a significant lag in the application of China's nanotechnology patents and low implementation efficiency. Conclusion: Nano patents can promote green development in the building industry, but there is room for improvement in the speed with which laboratory inventions are transformed into building engineering applications.

scholarly journals Research and Application of Molecular and Phenotypic Data for Tree Biodiversity Evaluation

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 564
Author(s):  
Gaetano Distefano
Keyword(s):  
Sustainable Development ◽  
Environmental Factors ◽  
Agronomic Traits ◽  
Crop Improvement ◽  
Phenotypic Data ◽  
The Sustainable Development ◽  
Biotic Stresses ◽  
Tree Crop ◽  
Ecological Habitats

The main challenges for tree crop improvement are linked to the sustainable development of agro-ecological habitats, improving the adaptability to limiting environmental factors and resistance to biotic stresses or promoting novel genotypes with improved agronomic traits [...]

scholarly journals Analysis of Industrial Transfer Mechanism Based on Environmental Regulation

2012 ◽  
Vol 5 (2) ◽  
Author(s):  
Wen-Bin Peng ◽  
Yin-Hua Tian ◽  
Guo-Cheng Xiang ◽  
Chang-E Kuang
Keyword(s):  
Environmental Regulation ◽  
Transfer Mechanism ◽  
Industrial Transfer

Does industrial collaborative agglomeration improve environmental efficiency? Insights from China's population structure

2021 ◽  
Author(s):  
Yue Zhu ◽  
Wenbo Du ◽  
Juntao Zhang
Keyword(s):  
Sustainable Development ◽  
Population Structure ◽  
Positive Impact ◽  
Eastern China ◽  
Environmental Efficiency ◽  
Green Economy ◽  
Industrial Transformation ◽  
The Sustainable Development ◽  
Economic Output ◽  
The Impact

Abstract It is the theme of today to develop green economy and improve environmental efficiency (EE). As a comprehensive index to measure energy input, economic output and environmental development, environmental efficiency (EE) is of great significance for China to realize the sustainable development of economy and environment. China is in a critical period of industrial transformation and upgrading and ecological civilization construction, the effect of the collaborative agglomeration of manufacturing and productive services on environmental efficiency has drawn attention from policymakers. In this study, the stochastic frontier approach (SFA) with unpaid input is used to measure the environmental efficiency (EE) of 66 cities in eastern China during 2009–2018. Population structure is regarded as a mediator to investigate the impact of industrial collaborative agglomeration on environmental efficiency based on the spatial econometric model. The results show that industrial collaborative agglomeration has a positive impact on environmental efficiency, which can be moderated by population density, aging and quality at the same time, while the moderating effect of population urbanization is not significant. Therefore, it is necessary to optimize the coordinated governance system of regional ecological environment, accelerate the construction of industrial collaborative agglomeration, and promote the sustainable development of industry and ecology with the advantage of population structure in order to improve environmental efficiency (EE).

scholarly journals Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries

2019 ◽  
Vol 12 (1) ◽  
pp. 146 ◽  
Author(s):  
Zhong Fang ◽  
Hua Bai ◽  
Yuriy Bilan
Keyword(s):  
Environmental Factors ◽  
Negative Impact ◽  
Environmental Regulations ◽  
Empirical Test ◽  
Evaluation Model ◽  
Evaluation Research ◽  
Green Innovation ◽  
The Sustainable Development ◽  
Regulation Policy ◽  
The Impact

Recently, green innovation efficiency, which considers innovation and environmental factors, is gradually becoming important for the sustainable development of Chinese heavy polluting industries because of the increasing strictness in China’s environmental regulations. Previous studies ignore the impact of external environmental factors on the efficiency of green industry innovation and fail to explain the complex relationship between environmental and technical efficiency fully. Therefore, a non-radial directional distance function-data envelopment analysis (DDF-DEA) three-stage green innovation efficiency evaluation model was constructed to measure the green innovation efficiency of China’s heavy polluting industries objectively and explore the impact mechanism of external factors. Then, the aforementioned model was used to conduct an empirical test on China’s heavy polluting industries. Results indicate that the green innovation efficiency of heavy polluting industries is generally low in China, and the entire industry is in the transitional stage of “effective innovation but not green.” The uncertainty of the effect of the environmental regulation policy, the over-reliance on external technologies, and the scale diseconomies of industries, which are the key factors in improving the green innovation efficiency of China’s heavy polluting industries, have a significant negative impact on green innovation efficiency. The conclusions of this study can provide a useful reference for China and other emerging markets to formulate reasonable environmental regulations and green transition of heavy polluting industries.

scholarly journals An Evaluation System for Sustainable Urban Space Development Based in Green Urbanism Principles—A Case Study Based on the Qin-Ba Mountain Area in China

2020 ◽  
Vol 12 (14) ◽  
pp. 5703 ◽  
Author(s):  
Xiaohui Yu ◽  
Sai Ma ◽  
Kang Cheng ◽  
Grigorios L. Kyriakopoulos
Keyword(s):  
Sustainable Development ◽  
Urban Space ◽  
Evaluation System ◽  
Spatial Development ◽  
Ecological Environment ◽  
Mountain Area ◽  
The Sustainable Development ◽  
Green Development ◽  
Sustainable Evaluation ◽  
Ecological Capital

Since the 20th century, the deterioration of the ecological environment around the world has challenged urban space construction. With the development of urbanization, the consumption of resources and energy has increased, the level of biodiversity has decreased, environmental pollution is approaching the critical level, and the contradiction between human habitat activity and ecological environment has become increasingly prominent. The sustainable development of urban space along with its economic and social benefits, taking into account the quality of life and ecological environment, has become a new and important subject that needs to be explored. In this study, the indices of the evaluation system for sustainable urban spatial development in regions with underdeveloped economies but rich in ecological resources are arranged in sequence through the systematic coupling analysis of collaborative evaluation information and a quantitative analysis. The influences of urban space elements on sustainable urban development are disclosed. On the basis of the generated data, an evaluation system for sustainable urban spatial development with a complete set of information is proposed. The proposed system is applicable to urban spatial development evaluation in regions in China with underdeveloped economies but rich in ecological capital. First, the basic concept of system coupling is introduced, and a coupling relationship between urban sustainable development and urban space is proposed. Second, the elements of urban space and the sustainable development in the Qin-Ba mountain area are extracted, and the precedence diagram method is used to construct a sustainable evaluation system for urban space development in the Qin-Ba mountain area. Third, the sustainable evaluation process of urban spatial development is proposed. Finally, the sustainable evaluation system for urban spatial development in the Qin-Ba mountain area is applied to evaluate the urban spatial development in Shangluo, Qin-Ling Mountains, China. The results show that, among the investigated 14 indicators, the proportion of industrial land use mainly influences sustainable urban spatial development. As for the rest of the index factors, per capita green land area and green coverage ratio of built-up areas, per capita urban construction land area, proportion of forestry area, greening rate of built-up areas, total industrial dust emission density, proportion of cultivated area, and average volume fraction of residential areas are the secondary influencing factors of sustainable urban spatial development. The evaluation system in this research is constructed with the three aspects of “green coordination”, “green development”, and “green sustainability” of sustainable urban spatial development, and it complements the evaluation contents of urban–rural ecological space coordination, land resource protection, and green development community, and so on. The conclusion of this study not only can provide a useful reference for urban spatial development planning for underdeveloped ecological capital areas of China but also can provide a theoretical basis for the management and control policy of sustainable urban spatial development.

scholarly journals Factors and Paths of Transformation and Upgradation of Chemical Industry in Shandong, China

2020 ◽  
Vol 12 (8) ◽  
pp. 3443
Author(s):  
Huijian Han ◽  
Ye Yang ◽  
Rui Zhang ◽  
Brekhna Brekhna
Keyword(s):  
Chemical Industry ◽  
Critical Path ◽  
Fuzzy Cognitive Map ◽  
Influence Coefficient ◽  
Industrial Transformation ◽  
Key Indicator ◽  
Green Development ◽  
Production Value ◽  
Development Paths ◽  
Key Indicators

In the context of the Internet, there is a historical fusion between the new round of scientific and technological revolution and industrial transformation and the accelerated transformation of economic development methods. The task of the Shandong chemical industry’s transformation and upgradation is arduous and urgent. In this context, this article studies the influencing factors and development paths of the transformation and upgradation of the Shandong chemical industry. It provides theoretical guidance for high-quality and sustainable development of the Shandong chemical industry. First, this paper uses the fuzzy cognitive map tool to learn the historical laws of the transformation and upgradation of the Shandong chemical industry. It then determines the path of chemical industry transformation and upgradation, according to the interactions and weights between the learned indicators. By adjusting the influence coefficient between the indicators on each path, the degree of change in the influence of the indicator on the target value is analyzed. The critical path and the key indicators on the path according to the degree of impact are determined. Finally, the key path selected in this article is: return on investment (C8) → unit production value environmental consumption (C9) → number of R&D personnel (C4) → R&D expenditure internal expenditure (C6) → industrial output (C1) → energy consumption coefficient (C3). The key indicator on this path is R&D expenditure internal expenditure. According to the results, the development suggestion for the transformation and upgradation of the chemical industry in Shandong is to take the path of green development through technological innovation.

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