scholarly journals How Does Regional Innovation Capacity Affect the Green Growth Performance? Empirical Evidence from China

2019 ◽  
Vol 11 (18) ◽  
pp. 5084 ◽  
Author(s):  
Hu ◽  
Liu ◽  
Li ◽  
Lin
Keyword(s):  
Growth Performance ◽  
Regional Differences ◽  
Relative Effectiveness ◽  
Practical Significance ◽  
Eastern Region ◽  
Green Growth ◽  
Regional Innovation ◽  
Institution Innovation ◽  
Coordination Effect ◽  
Innovation Capacity

Behind the high development of technology, backward institution systems and imperfect incentive mechanisms are not conducive to the green transformation of the economic society in China. Meanwhile, the relative effectiveness of both technical and institution innovation in encouraging green growth has yet to be tested empirically in China. It is of great practical significance to assess the effect of regional innovation capacity (RIC) on the green growth performance. This paper firstly exploits a model to measure regional innovation capacity from the perspective of technological and institutional respect. The panel data of 30 provinces in China during 2008–2017 is then used to examine the coordination effect of technological and institutional instruments on green growth performance. The empirical results demonstrate the following: (i) regional innovation capacity significantly affects the green growth performance of 30 provinces in China, showing regional differences. The elasticity of RIC on the green total factor efficiency in the eastern region is larger at approximately 0.48, followed by central and western areas, at about 0.47 and 0.45, respectively; (ii) technological innovation is able to incentivize green growth performance for all regions in China, while the institutional innovation induces green growth in the eastern region only; (iii) the coordination of technical and institutional instruments has a significant effect on green growth performance, positive in the eastern region and negative in central region respectively.

scholarly journals Why Is Collaborative Agglomeration of Innovation so Important for Improving Regional Innovation Capabilities? A Perspective Based on Collaborative Agglomeration of Industry-University-Research Institution

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Jing Li ◽  
Jialong Xing
Keyword(s):  
Human Capital ◽  
University Research ◽  
Regional Innovation ◽  
Institution Innovation ◽  
Explanatory Variables ◽  
Research Institution ◽  
Knowledge Innovation ◽  
Innovation Capacity ◽  
Two Stages ◽  
The Impact

Exploring the impact of collaborative agglomeration of industry-university-research institution innovation on regional innovation capabilities is of great significance for promoting China's high-quality economic development. This paper introduces the level of innovation collaborative agglomeration into the C-H production density model to theoretically explain the mechanism of the influence of innovation collaborative agglomeration on regional innovation capacity. On this basis, using the 2011–2017 Chinese subprovincial panel data to measure the level of regional innovation collaborative agglomeration and establishing a spatial model, the impact of innovation collaborative agglomeration on regional innovation capacity is empirically examined in two stages: knowledge innovation and outcome transformation. The study finds that the innovation collaborative agglomeration and the regional innovation capacity present a typical inverted U-shape relationship, while the human capital and the regional innovation capacity present an inverted N-shape relationship in the stage of knowledge innovation. There is a U-shaped relationship between the innovation collaborative agglomeration and the regional innovation capacity in the outcome transformation stage, while the impact of human capital on regional innovation capacity is not obvious. This result is still robust after replacing the core explanatory variables and the spatial weight matrix. In terms of three regions, the innovation collaborative agglomeration and the human capital in the middle and eastern regions have a stronger impact on regional innovation capacity than in the western region. The findings of this paper provide policy insights for the innovation collaborative agglomeration of industry, university, and research institution to promote regional innovation capacity.

scholarly journals Green Agricultural Development Based on Information Communication Technology and the Panel Space Measurement Model

2021 ◽  
Vol 13 (3) ◽  
pp. 1147
Author(s):  
Xueyao Zhang ◽  
Hong Chen
Keyword(s):  
Communication Technology ◽  
Regional Differences ◽  
Agricultural Development ◽  
Least Squares Method ◽  
Information Communication Technology ◽  
Measurement Model ◽  
Eastern Region ◽  
Information Communication ◽  
The Government ◽  
Space Measurement

This study was conducted to promote the construction of China’s ecological civilization; to reduce harm to the environment; to quantify the performance of agricultural green development (GD); and to truly achieve green, sustainable, and healthy agricultural development. From the perspectives of resources and the environment, first, information communication technology and the panel space measurement (PSM) model were adopted to analyze relevant indicator data from 2000 to 2019 in China’s 30 provinces. Second, China’s agriculture was measured to explore the overall characteristics, temporal changes, and regional differences of agricultural development. A panel data measurement model was constructed using the generalized least squares method, and the main factors affecting performance development were analyzed, which were verified by giving examples. Third, the governance countermeasures and improvement directors were proposed for agricultural GD in China. It is found that the driving force of performance of agricultural GD in China mainly depends on technological progress and that technological efficiency determines the speed of agricultural development. The regional differences in performance of agricultural GD are obvious in China. The growth in the performance of agricultural GD in the eastern region is much higher than that of the central, western, and northeast regions. In addition, the results show that the performance of agricultural GD is extremely positively correlated with the agricultural economic level, fiscal support for agriculture policy, and the industrialization process and that it is extremely negatively correlated with the level of opening-up, adjustment of agricultural structure, and the environmental regulatory capability of the government. As a result, this study can provide some ideas for the realization of agriculture GD in China.

scholarly journals Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

2021 ◽  
Vol 13 (18) ◽  
pp. 10475
Author(s):  
Yuwei He ◽  
Hui Zhang
Keyword(s):  
Regional Differences ◽  
Comprehensive Evaluation ◽  
Temporal Distribution ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Three Dimensions ◽  
Theil Index ◽  
Eastern Region ◽  
Development Mode ◽  
Policy And Strategy

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.

A Tale of Different Realities

2019 ◽  
pp. 262-280
Author(s):  
Pedro Nuno Rebelo Pavão ◽  
João Pedro Almeida Couto ◽  
Maria Manuela Santos Natário
Keyword(s):  
Innovation Policy ◽  
Regional Governance ◽  
Regional Level ◽  
The European Union ◽  
Regional Innovation ◽  
Structural Funds ◽  
Innovation Dynamics ◽  
Innovation Capacity ◽  
And Cluster Analysis ◽  
Private Actors

This chapter aims to identify the determinants that affect innovation capacity at regional level in Europe. It proposes modelling the territorial innovation capacity and identifies relevant factors with influence on the innovation capacity at a regional level. The chapter uses the Regional Innovation Scoreboard database and cluster analysis to detect behavioral patterns in terms of innovation performance in European regions. The results show that innovation capacity is related to regional governance, and particularly regional autonomy, regional control of innovation policy, influencing the affectation of structural funds, and the region's location within the European Union. Cohesion policy criteria is also a significant factor, demonstrating the adequacy of the European regional policy's new programming regarding innovation policy. These results point to the importance of the participation of regions in formulation, and implementation bottom-up strategies to develop innovation dynamics and develop partnerships with other public and/or private actors.

The Regional Innovation Capacity Model

2012 ◽  
pp. 243-256
Author(s):  
Antonio Lerro ◽  
Giovanni Schiuma
Keyword(s):  
Local System ◽  
Point Of View ◽  
Future Research ◽  
Regional Innovation ◽  
Knowledge Based ◽  
Future Research Agenda ◽  
Capacity Model ◽  
Innovation Dynamics ◽  
Innovation Capacity ◽  
Definition Of

This chapter aims to present a conceptual model aimed to understand the Intellectual Capital-based (IC) characteristics of the regional innovation capacity. The proposed Regional Innovation Capacity Model (RICM) can be used for interpretative and normative purposes to analyse the innovation dynamics taking place at regional and territorial level. From an interpretative point of view, the model identifies the pillars grounding the innovation capacity of a local system. While, from a normative perspective, the model can inspire the definition of guidelines driving the design and the implementation of actions, projects and programmes aimed to stimulate and sustain regional development dynamics. The RICM adopts a knowledge-based perspective assuming that IC, in the forms of regional knowledge assets, and knowledge dynamics, in the form of knowledge transfer and learning processes, are the drivers of innovative processes and outputs. The chapter concludes proposing a future research agenda.

scholarly journals Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5467
Author(s):  
Yu Fu ◽  
Agus Supriyadi ◽  
Tao Wang ◽  
Luwei Wang ◽  
Giuseppe T. Cirella
Keyword(s):  
Manufacturing Industry ◽  
Academic Research ◽  
Green Technology ◽  
Eastern Region ◽  
Innovation Capability ◽  
Manufacturing Companies ◽  
Regional Innovation ◽  
Manufacturing Efficiency ◽  
Made In China

The purpose of the “Made in China 2025” strategy is to enhance the innovation capabilities of the local manufacturing industry and achieve green and sustainable development. The role of innovation in the development of manufacturing is a hotspot in academic research, though only a few studies have analyzed the interaction between green technology manufacturing efficiency and its external innovation capabilities. This study used the 2011–2017 Chinese A-share listed manufacturing companies as samples to discuss whether regional innovation capabilities can promote the improvement of green technology manufacturing efficiency. The results showed that a significant spatial correlation between regional innovation capability and green technology manufacturing efficiency was prevalent within spatial heterogeneous bounds. In addition, regional innovation capability directly promoted the effective manufacturing of green technology efficiency, which was strongest in the eastern region of the country. Regional innovation capabilities also had a positive effect on human capital and government revenue, thereby further enhancing the green technology efficiency of manufacturing through the intermediary effect. Based on the above conclusions, some policy recommendations are put forward to facilitate the improvement of China’s regional innovation capabilities in terms of green technology efficiency in manufacturing.

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