scholarly journals Relationship and performance transmission paths of different types of green technology innovation in industrial enterprises

资源科学 ◽  
2021 ◽  
Vol 43 (8) ◽  
pp. 1534-1548
Author(s):  
Mingyue WANG ◽  
Yingming LI ◽  
Zitong WANG ◽  
Keyword(s):  
Technology Innovation ◽  
Green Technology ◽  
Industrial Enterprises ◽  
Different Types ◽  
And Performance

scholarly journals The Heterogeneous Effects of Different Environmental Policy Instruments on Green Technology Innovation

2019 ◽  
Vol 16 (23) ◽  
pp. 4660 ◽  
Author(s):  
Yi ◽  
Fang ◽  
Wen ◽  
Guang ◽  
Zhang
Keyword(s):  
Environmental Policy ◽  
Technology Innovation ◽  
Policy Instruments ◽  
Threshold Effect ◽  
Fixed Effect Model ◽  
Green Technology ◽  
Environmental Policy Instruments ◽  
Heterogeneous Effects ◽  
Different Types ◽  
The Impact

Environmental regulation is an important driving force of green technology innovation. In this paper, environmental policy instruments are classified into three categories: command-control, market-incentive and social-will. Based on the panel data of 30 provinces in China from 2010 to 2017, a fixed effect model and a panel threshold regression model are used to test the heterogeneous effects of different types of environmental policy instruments on the green technology innovation in China. The results show that: (1) Overall, China’s environmental policy instruments do not provide sufficient impetus for green technology innovation; (2) The impact of command-control environmental policy instruments on green technology innovation has a single threshold effect. When its intensity exceeds a certain threshold, green technology innovation is improved. The impact of market-incentive environmental policy instruments on the green technology innovation shows a double threshold effect, that is to say, only when its intensity maintained within a reasonable interval, can green technology innovation be promoted by it; (3) There is significant spatial difference in the impact of different types of environmental policy instruments on green technology innovation. In order to induce green technology innovation, it is necessary to formulate a combined and differentiated environmental policy system, while rationally adjusting the strength of different types of environmental policy instruments.

scholarly journals Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China

2019 ◽  
Vol 16 (6) ◽  
pp. 940 ◽  
Author(s):  
Jun-liang Du ◽  
Yong Liu ◽  
Wei-xue Diao
Keyword(s):  
Economic Growth ◽  
Value Chain ◽  
Regional Differences ◽  
Technology Innovation ◽  
Indicator System ◽  
Green Technology ◽  
Green Innovation ◽  
High Quality ◽  
Two Stage ◽  
Industrial Enterprises

Green technology innovation is an important means to break out of the constraints of resources and the environment, enhance the competitiveness of enterprises, and achieve the upgrading of industrial structures, and promote high-quality economic growth. In order to realize the overall improvement of the green technology innovation capability of Chinese enterprises, it is necessary to measure the efficiency of industrial enterprises’ green technology innovation and explore their regional differences. In this paper, from the perspective of a two-stage innovation value chain, by introducing the industrial carbon emissions per unit of Gross Domestic Product (GDP) and the “three wastes” pollutants into the research framework of green technology innovation efficiency, we established a novel green innovation efficiency evaluation indicator system for industrial enterprises. Furthermore, we used a two-stage network DEA with shared input to measure the efficiency of regional enterprises’ green technology innovation and explored the regional differences in industrial enterprises’ green technology R&D and the efficiency of green technology achievement transformation. Finally, we provide some suggestions for improving China’s industrial enterprises’ green innovation efficiency, so that they can ameliorate the significant regional imbalances and differences and realize high-quality economic growth.

scholarly journals Efficiency Evaluation of Green Technology Innovation of China’s Industrial Enterprises Based on SBM Model and EBM Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wei Chen ◽  
Liying Pan ◽  
Chaoran Lin ◽  
Mengqi Zhao ◽  
Tan Li ◽  
...  
Keyword(s):  
Coming Out ◽  
Value Chain ◽  
Technology Innovation ◽  
Proper Time ◽  
Green Technology ◽  
Ecological Environment ◽  
Eastern Region ◽  
Network Dea ◽  
Industrial Enterprises ◽  
Sbm Model

The industrial revolution has brought a leap in productivity; however, some severe ecological environment and resource problems are coming out with the development of industrialization. To achieve sustainable development of social economy, green technology innovation emerges in response to the proper time and conditions. In this context, the correct approach to measure the efficiency of green technology innovation in China’s industrial enterprises is an important research topic. Based on existing studies, this paper divides innovation activities into two stages based on the innovation value chain and constructs a two-stage evaluation index system including all kinds of undesirable outputs transferred from negative externalities of the ecological environment. To evaluate green technology innovation efficiency, SBM and EBM network DEA models are applied to conduct empirical analysis from the perspective of time and space. This paper also calculates the efficiency values based on the SBM model and the EBM model, respectively, and compares the differences between them. The results show that the efficiency value of the achievement transformation stage is significantly higher than that of technology development stage; there are noticeable gaps in the efficiency of green technology innovation between different regions of China. Besides, the eastern region has a better performance in green technology innovation than the western region and Qinghai has the best green technology innovation performance. Combining the empirical results, the corresponding policy recommendations are put forward.

scholarly journals Does Green Credit Affect the Green Innovation Performance of High-Polluting and Energy-Intensive Enterprises? Evidence from A Quasi-Natural Experiment

2021 ◽  
Author(s):  
Sheng Liu ◽  
RONGXIN XU ◽  
Xiuying Chen
Keyword(s):  
Natural Experiment ◽  
Technology Innovation ◽  
High Energy ◽  
Green Technology ◽  
Theoretical Research ◽  
Financial Policy ◽  
Credit Policy ◽  
Green Innovation ◽  
Industrial Enterprises ◽  
Innovation Output

Abstract Green credit policy is a practical exploration to guide green development through the allocation of financial resources, but there is a gap in the theoretical research on how green financial policy affects enterprise green technology innovation. Taking the green credit policy in 2012 as a quasi-natural experiment, this paper applies the methods of Propensity Score Matching and Difference in Difference (PSM-DID) to investigate the relationship between green credit policy and enterprises' green technology innovation behavior based on Chinese industrial enterprises database and green patent database. The results show that the implementation of "green credit guidelines" policy has significantly improved the green innovation output of high-polluting and high-energy consuming enterprises, which indicates that the incentive effect of green credit policy on enterprises exceeds the inhibition effect and leads to Porter effect. Moreover, the green credit policy has significantly increased the number of non-invention patents rather than invention patents. In addition, the green credit policy has a more significant effect on the innovation output of heavily polluting enterprises in state-owned and weak market power enterprises. Mechanism test shows that green credit policy mainly affects the green innovation output of heavy polluting enterprises by guiding the loan financing cost and R&D investment allocation.

The Impact of Property Characteristics on Economic Performance of Russian Industrial Enterprises

2005 ◽  
pp. 53-68 ◽  
Author(s):  
R. Kapeliushnikov ◽  
N. Demina
Keyword(s):  
Detailed Analysis ◽  
Economic Performance ◽  
Ownership Concentration ◽  
Corporate Sector ◽  
Concentrated Ownership ◽  
Industrial Enterprises ◽  
Russian Industry ◽  
Control Premium ◽  
And Performance ◽  
The Impact

The paper provides new survey evidence on effects of concentrated ownership upon investment and performance in Russian industrial enterprises. Authors trace major changes in their ownership profile, assess pace of post-privatization redistribution of shareholdings and provide evidence on ownership concentration in the Russian industry. The major econometric findings are that the first largest shareholding is negatively associated with the firm’s investment and performance but surprisingly the second largest shareholding is positively associated with them. Moreover, these relationships do not depend on identity of majority shareholders. These results are consistent with the assumption that the entrenched controlling owners are engaged in extracting "control premium" but sizable shareholdings accumulated by other blockholders may put brakes on their expropriating behavior and thus be conductive for efficiency enhancing. The most interesting topic for further more detailed analysis is formation, stability and roles of coalitions of large blockholders in the corporate sector of post-socialist countries.

Characteristics of Physicians Referred for a Competence Assessment: A Comparison of State Medical Board and Hospital Referred Physicians

2010 ◽  
Vol 96 (3) ◽  
pp. 8-15 ◽  
Author(s):  
Elizabeth S. Grace ◽  
Elizabeth J. Korinek ◽  
Zung V. Tran
Keyword(s):  
Clinical Competence ◽  
Competence Assessment ◽  
Average Performance ◽  
Medical Board ◽  
Key Characteristics ◽  
Different Types ◽  
Specialty Board ◽  
And Performance ◽  
State Medical Boards ◽  
State Medical Board

ABSTRACT This study compares key characteristics and performance of physicians referred to a clinical competence assessment and education program by state medical boards (boards) and hospitals. Physicians referred by boards (400) and by hospitals (102) completed a CPEP clinical competence assessment between July 2002 and June 2010. Key characteristics, self-reported specialty, and average performance rating for each group are reported and compared. Results show that, compared with hospital-referred physicians, board-referred physicians were more likely to be male (75.5% versus 88.3%), older (average age 54.1 versus 50.3 years), and less likely to be currently specialty board certified (80.4% versus 61.8%). On a scale of 1 (best) to 4 (worst), average performance was 2.62 for board referrals and 2.36 for hospital referrals. There were no significant differences between board and hospital referrals in the percentage of physicians who graduated from U.S. and Canadian medical schools. The most common specialties referred differed for boards and hospitals. Conclusion: Characteristics of physicians referred to a clinical competence program by boards and hospitals differ in important respects. The authors consider the potential reasons for these differences and whether boards and hospitals are dealing with different subsets of physicians with different types of performance problems. Further study is warranted.

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