Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

Chen, Xiafei; Liu, Zhiying; Zhu, Qingyuan

doi:10.1016/j.technovation.2018.02.009

Cited by 155 publications

(102 citation statements)

References 60 publications

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“…Our model showed that only a few provinces in eastern China are sustainably innovation efficient, while most provinces in central and western China have a medium, to low, to very low sustainable innovation efficiency. This is in line with previous research [19,21,27,101]. Eastern China always showed a higher innovation efficiency than central and western areas.…”

Section: Hypothesessupporting

confidence: 93%

“…Li et al [5] observed a considerable regional variation in innovation efficiency in China through DEA estimates, and found a positive effect of foreign direct investment on regional innovation efficiency. Chen et al [27] measured the regional R&D and commercialization efficiencies for the high-tech industries in China through a network DEA method, and found that most of the Chinese regions had a low efficiency, while eastern China had a higher innovation efficiency than central and western China. Chen et al [101] developed a dynamic analytical framework of regional R&D efficiency systems, considering the dynamic interdependence between regional R&D activities over different periods, and they ascertained that eastern China had a higher efficiency than other provinces.…”

Section: Regional Sustainable Innovation Efficiency Evaluationmentioning

confidence: 99%

“…However, there is also no significant difference in the time lag span in innovation evaluation research [122,125,126]. We chose to set the time lag as one year [27], which means it takes one year from inputs to outputs.…”

Section: Data Sourcesmentioning

confidence: 99%

“…While innovation studies often refer to new product development, process and service innovation, and economic growth by means of these activities [64], sustainable innovation expands this approach to social, institutional, ethical, and ecological dimensions [65]. Sustainable innovation research often stresses the minimization or complete absence of harmful environmental effects of the innovation process and/or this innovation process's outcomes, including, for example, the reduction of environmental waste and greenhouse gas emissions [27,[66][67][68]. Effective methods to achieve sustainable development also include controlling population growth and economic development, while strengthening technological innovation to reduce the impact on the environment.…”

Section: Introductionmentioning

confidence: 99%

“…It is reported that by the year 2013 China had issued 358 laws and regulations on environmental protection, and 67 Chinese standards and requirements were enacted by March 2016 [26]. The Chinese government has become increasingly aware of the urgency of implementing environmental regulations and policies.This study takes the mentioned unsustainable outputs like SO 2 and CO 2 emissions, henceforth called "undesirable outputs", into consideration by applying a data envelopment analysis-slack-based measure (DEA-SBM) model with new data, which can better reflect China's regional sustainable innovation efficiency than previous research [9,19,27]. The contribution of this paper to science and scholars is that it extends quantitative research methodology and findings on regional sustainable innovation efficiency, by applying the DEA-SBM model, and by integrating undesirable output into the comparison and evaluation.…”

mentioning

confidence: 99%

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Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs

Bossink

Chen

2019

Sustainability

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An efficiency evaluation of China's regional sustainable innovation, evaluating industrial waste and total energy consumption, is the main research subject in this paper. It focuses on a regional measurement and comparison of these undesirable outputs of Chinese firm activities, such as industrial SO 2 and CO 2 emissions. By applying a data envelopment analysis-slack-based measure (DEA-SBM) model with undesirable outputs indicators, the regional innovation efficiency was evaluated for 30 provinces in China, from 2002 to 2014. The results indicate that the sustainable innovation efficiency of overall China is still relatively low, and varies significantly in different regions. Central and Western China have similar sustainable innovation efficiencies, which are much lower than the sustainable innovation efficiency in Eastern China. Furthermore, the data indicate that regional sustainable innovation efficiency disparities among these three areas are decreasing. Based on these findings, reasons for the sustainable innovation efficiency gap among the different regions were analyzed. To scholars, this paper extends the research on regional sustainable innovation efficiency by implementing an undesirable output perspective to the DEA-SBM model. The findings also provide Chinese policy makers with useful decision support insights for regional sustainable innovation, and energy conservation and emission reduction policies.Sustainability 2020, 12, 31 2 of 21 differences can be addressed [15][16][17]. Research on regional innovation efficiency has gained increasing attention in recent years [18][19][20], but to the best of our knowledge, very few studies have been conducted to quantitatively evaluate sustainable innovation efficiency in China, by means of focusing on undesirable outputs like industrial SO 2 and CO 2 emissions [21,22]. Our study aims to contribute to the knowledge in this area, and does this by means of measuring and comparing unsustainable, unwanted, and undesirable outcomes/byproducts of Chinese regions' innovative firm activities. By evaluating the regional sustainable innovation efficiency of 30 provinces in China from 2002 to 2014, using the slack-based measure (SBM) model, this study focuses on the following research question: what are the differences between sustainable innovation efficiencies of different regions in China and which trends in these differences can be estimated?How to deal with SO 2 and CO 2 emissions and with related climate change has become one of the most urgent challenges of today's world. For example, it has been reported that global CO 2 emissions from fuel combustion has increased from 26,177 Mt in 2004 to 32,190 Mt in 2013. Many countries have committed to controlling SO 2 and CO 2 emissions and aim to develop a no-to low-emissions economy. In 2015, the Paris Climate Change Conference adopted the "Paris Agreement" to deal with climate change after 2020 [24]. More than 170 countries jointly signed the Paris Agreement in 2016. China and the United States officially ratified the...

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Section: Hypothesessupporting

confidence: 93%

Section: Regional Sustainable Innovation Efficiency Evaluationmentioning

confidence: 99%

Section: Data Sourcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs

Bossink

Chen

2019

Sustainability

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Effects of corporate social responsibility on pharmaceutical multinational enterprises performance: Research and development and business efficiency perspectives

Kao

2022

Manage Decis Econ

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This study employs an integrated two‐stage network data envelopment analysis, multiplicative efficiency aggregation in a second‐order cone programming approach, to assess efficiency scores of 41 pharmaceutical multinational enterprises (PMNEs). We also suggest a strategy for efficiently forecasting each PMNE's future efficiency score using a trend analysis technique. In particular, this study investigates how the three dimensions of corporate social responsibility (CSR) affect R&D efficiency and business efficiency. Results indicate that the governance pillar (social pillar) has a positive (negative) effect on the business efficiency of PMNEs. The findings give PMNE executives additional references to consider when deciding on CSR practices.

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Nonlinear impact of the interaction between internal knowledge and knowledge spillover on patent quality: Evidence from China's provincial high‐tech industry

Lin

Zhou

et al. 2022

Manage Decis Econ

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This paper first divides knowledge resources into internal knowledge and knowledge spillover from the dual perspective of inside and outside the region. Then, a panel threshold regression model is constructed by using the panel data from 30 provincial high‐tech industries in China during the 2009–2019 period using the intellectual property protection intensity as the threshold variable, and the nonlinear impact of the interaction between internal knowledge and knowledge spillover on the patent quality in the high‐tech industry is empirically explored. The results show the following. (1) The interaction between internal knowledge and knowledge spillover has a significant nonlinear effect on the patent quality in China's provincial high‐tech industry. There is a double‐threshold effect with the intellectual property protection intensity as the threshold variable. (2) As the threshold value of the intellectual property protection intensity increases, the promotion effect of the interaction between internal knowledge and knowledge spillover on the patent quality first increases and then decreases. (3) The spatiotemporal heterogeneity of the intellectual property protection intensity is obvious in all regions in China. (4) Internal knowledge, the infrastructure construction level, and the human capital level have significant positive effects on the patent quality, while knowledge spillover and the opening‐up level have significant negative effects.

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Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

Cited by 155 publications

References 60 publications

Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs

Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs

Effects of corporate social responsibility on pharmaceutical multinational enterprises performance: Research and development and business efficiency perspectives

Nonlinear impact of the interaction between internal knowledge and knowledge spillover on patent quality: Evidence from China's provincial high‐tech industry

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