scholarly journals The role of industrial structure upgrades in eco-efficiency evolution: Spatial correlation and spillover effects

2019 ◽  
Vol 687 ◽  
pp. 1327-1336 ◽  
Author(s):  
Yang Zhou ◽  
Ying Kong ◽  
Jie Sha ◽  
Hankun Wang
Keyword(s):  
Spatial Correlation ◽  
Industrial Structure ◽  
Spillover Effects

Research on the Spatial Network Structure and Influencing Factors of the Allocation Efficiency of Agricultural Science and Technology Resources in China

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1170
Author(s):  
Yameng Wang ◽  
Zhe Chen ◽  
Xiumei Wang ◽  
Mengyang Hou ◽  
Feng Wei
Keyword(s):  
Spatial Correlation ◽  
Industrial Structure ◽  
Science And Technology ◽  
Spatial Association ◽  
Spillover Effects ◽  
Agricultural Science ◽  
Allocation Efficiency ◽  
Development Levels ◽  
Agricultural Science And Technology ◽  
Technology Resources

The allocation efficiency of China’s agricultural science and technology resources (ASTR) varies in different regions and has a complicated spatial distribution pattern. To visually study whether there are correlations and mutual influences between the allocation efficiency of different regions, we use social network analysis methods (SNA). The study found that: (i) China’s allocation efficiency of ASTR has significant spatial correlation and spillover effects. The overall network density is declining. (ii) The spatial correlation network has significant regional heterogeneity. Some eastern provinces play “intermediaries” and “bridges” in the network. (iii) Geographical proximity, differences in economic development levels, industrial structure levels, and differences in urbanization have a significant impact on the formation of spatial association networks.

Whether green technology innovation is conducive to haze emission reduction: Empirical evidence from China

2021 ◽  
Author(s):  
Ming Yi ◽  
Ying Lu ◽  
Le Wen ◽  
Ying Luo ◽  
Shujing Xu ◽  
...  
Keyword(s):  
Spatial Correlation ◽  
Foreign Investment ◽  
Industrial Structure ◽  
Technology Innovation ◽  
Collaborative Governance ◽  
Spillover Effects ◽  
Green Technology ◽  
Haze Pollution ◽  
The Impact ◽  
Negative Spillover

Abstract With the acceleration of industrialization, haze pollution has become a severe environmental pollution problem, and green technology innovation is one feasible way to alleviate it. Based on the PM2.5 concentration data of 30 provinces in mainland China from 2011 to 2017, we use a spatial panel model to investigate the spatial characteristics of haze pollution and examine the impact of green technology innovation on it. Results show that haze pollution has spatial correlation and a time lag. Its spatial correlation is associated with geographical distance as well as the compound influence of distance and economic development. Green technology innovation and foreign investment have inhibitory and negative spillover effects on haze pollution. Industrial structure and energy consumption structure play a partial intermediary role between green technology innovation and haze pollution, and the former has a significant negative spillover, while the latter has a positive effect. To reduce haze pollution, China should improve the level of green technology innovation, use foreign investment wisely, and enhance policy support and guidance. It should also promote the rationalization of industrial structure, optimize energy structure and implement energy substitution. Finally, it is crucial that it should strengthen regional collaborative governance and build a multi-agent governance system.

Democracy and deforestation: The role of spillover effects

2021 ◽  
Vol 125 ◽  
pp. 102398
Author(s):  
Michael Cary ◽  
Festus Victor Bekun
Keyword(s):  
Spillover Effects

scholarly journals The Effect of Manufacturing Agglomeration on Haze Pollution in China

2018 ◽  
Vol 15 (11) ◽  
pp. 2490 ◽  
Author(s):  
Jun Liu ◽  
Yuhui Zhao ◽  
Zhonghua Cheng ◽  
Huiming Zhang
Keyword(s):  
Industrial Structure ◽  
Spillover Effects ◽  
Eastern Region ◽  
Spatial Panel ◽  
Panel Model ◽  
Specific Analysis ◽  
Haze Pollution ◽  
Regional Haze ◽  
Spatial Panel Model ◽  
Development Levels

Based on panel data on 285 Chinese cities from 2003 to 2012, we use a dynamic spatial panel model to empirically analyze the effect of manufacturing agglomeration on haze pollution. The results show that when economic development levels, population, technological levels, industrial structure, transportation, foreign direct investment, and greening levels are stable, manufacturing agglomeration significantly aggravates haze pollution. However, region-specific analysis reveals that the effects of manufacturing agglomeration on inter-regional haze pollution depends on the region: the effect of manufacturing agglomeration on haze pollution is the largest in the Western region, followed by the Central region, and is the least in the Eastern region. Based on the above conclusions, we put forward several specific suggestions, such as giving full play to the technology and knowledge spillover effects of manufacturing agglomeration, guiding manufacturing agglomerations in a scientific and rational way, accelerating the transformation and upgrading of manufacturing industries in agglomeration regions.

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.

scholarly journals Research on strategic emerging industries boosting high quality economic

2021 ◽  
Vol 235 ◽  
pp. 02011
Author(s):  
He Jiang ◽  
Yonghui Cao
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Industrial Structure ◽  
Decisive Role ◽  
High Quality ◽  
Emerging Industries ◽  
National Economic ◽  
Countermeasures And Suggestions ◽  
Sustainable Economic Growth

With the development of knowledge economy and the advancement of economic globalization, strategic emerging industries have become the leading industries for a country or region to achieve sustainable economic growth in the future. They are the high integration of emerging technologies and emerging industries, and the driving force of national economic growth. They play an important guiding and decisive role in the national economic growth and the transformation and upgrading of industrial structure. In recent years, China’s strategic emerging industries continue to grow rapidly, and have made remarkable achievements in innovation and development, which play an important role in the national economic growth and the transformation and upgrading of industrial structure, but there are also shortcomings. Based on the current situation of the development of strategic emerging industries, this paper analyzes the role of strategic emerging industries in economic development, and puts forward countermeasures and suggestions for strategic emerging industries to boost high-quality economic development.

scholarly journals THE MEASUREMENT OF HIERARCHICALLY SPATIAL INDUSTRIAL KNOWLEDGE SPILLOVER EFFECTS

2018 ◽  
Vol 6 (6) ◽  
pp. 67-74
Author(s):  
Qianting Ye
Keyword(s):  
Industrial Structure ◽  
Knowledge Spillovers ◽  
Three Dimensional ◽  
Guangdong Province ◽  
Spillover Effects ◽  
Spatial Effect ◽  
The Hierarchical Structure ◽  
Economic Reality ◽  
Spatial Autoregressive ◽  
The Relationship

Based on the “year–region–industry” three - dimensional unbalanced industrial production panel data of Guangdong Province in China from 2005-2013, the relationship between knowledge spillovers and industrial structure is investigated by hierarchically spatial lagged with spatial autoregressive error (HSARAR) model. The empirical results indicate that the impacts of MAR, Jacobs, and Porter spillover on Guangdong's industry economic growth is positive and statistically significant. The industrial HSARAR model considers the hierarchical structure and spatial effect simultaneously, which has a better description on economic reality than the pooled model and SARAR model.

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