26th International Association for Management of Technology Conference - IAMOT 2017

The American economist Siwek S E. first proposed the concept of "intellectual property industry", and pointed out that the patent-intensive industry is an important part of the intellectual property industry. In April 2012, the United States Department of commerce and the United States Patent and trademark office jointly issued a statistical report "Intellectual property and the United States economy”, the report pointed out that the patent-intensive industry contribution rate of 5.3% for U.S. economy in 2010. In September 2013, the European Patent Office and The Office for Harmonization in the Internal Market jointly issued the report: "Intellectual Property Rights Intensive Industries: Contribution to Economic Performance and Employment in Europe" which said that patent-intensive industries accounted for 14% of the EU's GDP, and 70.6% of the export trade volume is the contribution of the patent intensive industries in 2008-2010. Following the United States and the European Union, in April 2014, China's Intellectual Property Office officially announced its latest research results: “China's regional industry patent density statistics report”, which pointed out that China's high patent-intensive industry added value reached 4700000000 yuan, which is accounting for 24.3% of GDP, and created an average of 32900000 jobs per year for China in 2007-2011.Thus, high patent-intensive industry is an important carrier to promote the creation of intellectual property and support industrial transformation and upgrading, which has become the pillar of economic development of country and the key to improve its international competitiveness in the world economy, and technological innovation is the key point to enhance the competitiveness of high patent-intensive industries. However, China is still a developing country, not a power. Whether from the industry RD investment or from the new product output value, China has a big gap with the developed countries in the world, which shows that China is not a country with strong independent innovation ability and lack of the core technology with independent intellectual property rights. At the same time, due to the extensive development of the industrialization process, China faces a series of environmental and energy issues. Especially in recent years, China has a significant impact on the severity of the haze. The situation of Sulfur dioxide emissions, industrial waste water discharge and solid waste generation is grim, and the energy consumption is in crisis. According to the forecast of the internationally renowned Millennium Research Institute, energy in the world can only be consumed in China for 74 years. In the next few years (2016-2020), China is faced with the task which is not only to catch up on the innovation ability, also needs to protect the environment and improve the utilization efficiency of energy resources. Simply emphasizing technological innovation would change the production constraint function to create new products or improve the quality of the production mode to promote economic growth. But it may not be able to protect the environment and save resources very well, Because the main body of innovation is enterprise, and the externality of public goods makes the enterprise may not be very concerned about the impact of a new technology, and may be more concerned about the technology whether can bring the actual economic benefits, this Make technological innovation may further damage to the environment. As a consequence, high patent-intensive industries in urgent need of transforming and upgrading for green ecological technological innovation. How to promote the ability of independent innovation and pay attention to resource conservation and environmental friendly at the same time is a must face the urgent problem. In this presentation, we taking into account the combination of environmental effect, random error and dynamic analysis and delving into the heterogeneity and influence mechanisms of green transformation performance of technology innovation of high-patent intensive industries from the improved method and content. We first calculate the original green innovation performance through the traditional Malmquist index model; Secondly, the offset of sample input is separated by BCC model, and then the SFA model is used to decompose the sample input; Third, the adjusted investment amount again into the Malmquist index model to measure the performance of dynamic panel data. Thus, we not only considering the influence of environment and error factors, also overcome the Defect that three stage DEA model cannot effectively measure the dynamic change of the efficiency of the input units. Finally, test the influence mechanism of the performance by using Tobit model. The results show that green transformation performance of technology innovation which is eliminated the environmental effect and random error is significantly different; The adjusted performance is fluctuation, and the difference is obvious in each period; After the adjustment, the performance is relatively large, and the green technical level index is improved in different degrees; Enterprise scale, capital deepening, technological digestion and absorption capacity, market competition and government environmental regulation have a significant impact mechanism on the performance and each is different.