scholarly journals Spatio-Temporal Evolution and Mechanism Analysis of China’s Regional Innovation Efficiency

2021 ◽  
Vol 13 (19) ◽  
pp. 11089
Author(s):  
Zhen Xu ◽  
Xiang Zhu ◽  
Guoen Wei ◽  
Xiao Ouyang
Keyword(s):  
Temporal Evolution ◽  
Spillover Effects ◽  
Essential Elements ◽  
Eastern Region ◽  
Mechanism Analysis ◽  
Regional Innovation ◽  
Evolution Pattern ◽  
Evolution Characteristics ◽  
Spatio Temporal ◽  
The Impact

Improving regional innovation efficiency is the key to developing an innovative country. Exploring the spatio-temporal evolution characteristics of regional innovation efficiency is crucial in the formulation of regional policies and the choice of innovation models. This study used the superdata envelopment analysis method with undesirable outputs in evaluating the innovation efficiency of Chinese provinces. To assess the spatial spillover effects of innovation factors, the spatial autocorrelation and spatial Durbin model were adopted to characterize the spatio-temporal evolution, spatial correlation, and mechanisms of innovation efficiency. The highlights of the results are as follows: (1) The time-series changes in innovation efficiency showed a general trend from declining to increasing. (2) There were pronounced regional differences in innovation efficiency. The innovation efficiencies at the provincial level evolved from being decentralized to concentrated. The innovation efficiency was relatively stable in the eastern region and increased significantly in the central and western regions. The east–center–west evolution pattern gradually weakened. (3) The innovative efficiency exhibited spatial dependence, and the spatial agglomeration continued to increase. The extent of hot spots expanded, while cold spots shrunk slightly. (4) The scientific research environment, entrepreneurial environment, labor quality, and market environment were the essential elements that improved innovation efficiency. The impact of the different factors on innovation efficiency at different periods exhibited significant spatial heterogeneity.

scholarly journals Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1105
Author(s):  
Shuai Wang ◽  
Cunyi Yang ◽  
Zhenghui Li
Keyword(s):  
Temporal Evolution ◽  
Spatial Interaction ◽  
Spillover Effects ◽  
Least Square ◽  
Utilization Efficiency ◽  
Land Utilization ◽  
Evolution Characteristics ◽  
Spatio Temporal ◽  
Green Land ◽  
New Urbanization

In the context of vigorously promoting new-urbanization, effectively improving the green use efficiency of urban land is an inevitable requirement to achieve high-quality economic and social development. Based on the panel data from 2011 to 2018 of 297 prefecture-level and above cities in China, this paper uses the entropy weight method and the super-efficient SBM-GML model to estimate the spatio-temporal evolution characteristics of new-urbanization and urban green land utilization efficiency. Then, the spatial simultaneous-equation and the generalized spatial three-stage least square method (GS3SLS) are employed to empirically investigate the spatial interaction spillover effects between the new-urbanization and the green land utilization efficiency. The results indicate that: (1) The level of new-urbanization and the green land utilization efficiency in Chinese cities have common and complex temporal and spatial dynamic evolution characteristics. (2) There are mutual inhibition effects between new-urbanization and green land utilization efficiency, and the level of new-urbanization is in a comparatively leading role. (3) Both the level of new-urbanization and green land utilization efficiency have obvious spatial spillover effects. (4) The level of new-urbanization of surrounding regions promotes the green land utilization efficiency of local regions, and the improvement of the green land utilization efficiency of surrounding regions also promotes the level of new-urbanization of local regions. As environmental pressure increasingly becomes a constraint on urban development, these findings are helpful to clarify the regional relationship between urban construction and green development and promote the harmonious development of new-urbanization and green land utilization efficiency.

scholarly journals Regional Innovation Systems of Medical Technology

REGION ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 57-81
Author(s):  
Rucha Vadia ◽  
Katharina Blankart
Keyword(s):  
Knowledge Production ◽  
Spillover Effects ◽  
External Funding ◽  
Regional Innovation ◽  
Cross Sectional ◽  
Horizon 2020 ◽  
Product Categories ◽  
The Us ◽  
Number Of Publications ◽  
The Impact

We investigated the role of external funding in cardiovascular device innovation across 31 countries in Europe. We rely on the knowledge production function (KPF) framework that establishes the knowledge output of a region as a function of innovatory effort and other characteristics of that region. In a cross-sectional analysis, we investigated regional variation in knowledge production by the number of publications in cardiovascular device research obtained from the bibliometric data of the world’s largest biomedical library, the US National Library of Medicine, 2014‒2017. We mapped these publications to product categories of medical devices approved for cardiovascular diseases by the US Food and Drug Administration. Considering spatial correlation across regions of Europe in our estimates of the KPF, we investigated the impact of two types of funding mechanisms: grants reported in the publications and the volume of European Union Horizon 2020 funding received by the innovating regions. We obtained 123,487 cardiovascular device-related publications distributed across 1,051 (75% of total) regions (NUTS-3 level). Receiving external funding strongly contributes to a region’s knowledge output. The estimated elasticities of innovatory effort range between 0.51 and 0.64. These estimates were consistently larger than the elasticities of other characteristics in the region measured by gross domestic product (0.14‒0.56). We also documented spillover effects from neighboring regions when the funding was measured by the grants reported in the publications, concluding that innovatory efforts in the form of external research investments are effective for promoting innovation in the medical device industry at the regional level.

scholarly journals Spatio-Temporal Variation of Health Production Efficiency Considering Environmental Pollution in China Based on Modified EBM and Spatial Econometric Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Fan Liu ◽  
Gen Li ◽  
Ying Zhou ◽  
Yinghui Ma ◽  
Tao Wang
Keyword(s):  
Temporal Variation ◽  
Production Efficiency ◽  
Econometric Model ◽  
Spillover Effects ◽  
Eastern Region ◽  
Health Production ◽  
Spatial Econometric ◽  
Average Efficiency ◽  
Spatial Econometric Model ◽  
Spatio Temporal

In order to strengthen the construction of China's health industry and improve the health of the people, based on the data of 31 provinces and cities in China from 2009 to 2019, the improved EBM model is used to measure the health production efficiency of each region, and Moran index is used to study the Spatio-temporal variation of health production efficiency of each province. Finally, the spatial econometric model is applied to study the influencing factors of the Spatio-temporal variation of health production efficiency. The results show that generally speaking, the average efficiency of 31 provinces and cities is above 0.7, and the average efficiency of some regions is above 1. From the perspective of time variation, the average efficiency value in the eastern region and the middle region increases from 0.816 to 0.882 and from 0.851 to 0.861, respectively. However, the average efficiency value in the western region and northeast region decreases from 0.861 to 0.83 and from 0.864 to 0.805, respectively. From the perspective of spatial distribution, HH agglomeration and LL agglomeration exist in most regions. By comparing Moran scatter plots in 2009 and 2019, it is found that the quadrants of most regions remain unchanged, and LL agglomeration is the main agglomeration type in local space. There is a significant spatial dependence among different regions. From the perspective of spatial empirical results, Pgdp, Med, and Pd have a positive effect on health production efficiency. The direct effect and indirect effect of Pgdp, Med, and Gov all pass the significance test of 1%, indicating that there are spatial spillover effects of the three indicators. Each region should reasonably deal with the spillover effect of surrounding regions, vigorously develop economic activities, carry out cooperation with surrounding regions and apply demonstration effect to accelerate the development of overall health production.

scholarly journals The Impact of Medical Insurance on Household Stock Market Participation: Evidence From China Household Finance Survey

2021 ◽  
Vol 9 ◽  
Author(s):  
Gui Fen Shi ◽  
Mei Li ◽  
Tao-Tao Shen ◽  
Yue Ma
Keyword(s):  
Stock Market ◽  
Urban Areas ◽  
Household Finance ◽  
Medical Insurance ◽  
Estimation Methods ◽  
Eastern Region ◽  
Mechanism Analysis ◽  
Market Participation ◽  
Stock Market Participation ◽  
The Impact

This paper explores the impact of medical insurance on the possibility of household participation in the stock market and the portfolio share of equity, applying Probit, and Tobit models with the data from China Household Finance Survey (CHFS). The empirical results highlight that participating in medical insurance can significantly increase the possibility of households participating in the stock market and the portfolio share of equity, and have passed the robustness tests, including propensity score matching (PSM), altering estimation methods, replacing explained variables, and eliminating samples. Besides, heterogeneity analysis shows that the impact of medical insurance on household stock market participation is more significant in eastern region, urban areas, and households with higher income level. Further mechanism analysis implies that household participation in medical insurance mainly affects their stock market participation through preventive savings effect. It is necessary to improve the medical insurance system and encourage household participation in stock market so as to further promote financial development in China.

scholarly journals Foreign Direct Investment, Regional Innovation, and Green Economic Efficiency: An Empirical Test Based on the Investigation of Intermediary Effect and Threshold Effect

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
You-Qun Wu ◽  
Huai-Xin Lu ◽  
Xin-Lin Liao ◽  
Jia-Bao Liu ◽  
Jia-Ming Zhu
Keyword(s):  
Economic Efficiency ◽  
Empirical Test ◽  
Threshold Model ◽  
Threshold Effect ◽  
Green Economy ◽  
Mediation Effect ◽  
Mechanism Analysis ◽  
Regional Innovation ◽  
Effect Analysis ◽  
The Impact

Based on the theoretical mechanism analysis of FDI, regional innovation, and green economic efficiency, this article uses China’s provincial panel data to calculate the provincial green economic efficiency level based on the three-stage DEA method and uses the system GMM model, intermediary effect model, and threshold model to empirically test the specific effects and transmission paths of FDI on the efficiency of the green economy. Research shows that FDI is one of the important factors that promote the improvement of green economic efficiency. Subregional tests have found that FDI has a significant regional heterogeneity in promoting the efficiency of the green economy. The mediation effect test found that the mediation effect of regional innovation is significant, and FDI can significantly promote the growth of green economic efficiency through regional innovation. The threshold effect analysis found that there are significant and effective double thresholds for regional economic levels, and the impact of FDI on green economic efficiency is heterogeneous within different threshold intervals. The research conclusions provide new inspiration for China to allocate FDI more rationally and efficiently under the new development pattern.

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