How R&D investment promotes green technology innovation in the context of digitalization?-An empirical analysis based on provincial panel data

Green technology innovation is an important driving force and source to promote my country’s high-quality development,and it is the core path to achieve sustainable development.This paper uses my country’s provincial panel data from 2016 to 2019 to study the impact mechanism of R&D investment on green technology innovation,and introduces the level of digitization,using the panel threshold model to discuss its role in the impact mechanism of R&D investment on green technology innovation.The study found that when the level of digitalization in a region is low,increasing R&D investment does not necessarily improve the ability of green technology innovation;when the level of digitalization is relatively high,R&D investment has a positive role in promoting green technology innovation.Therefore,it is necessary to improve policies to encourage enterprises to increase investment in research and development;at the same time,it is necessary to promote the coordinated development of digital foundation,digital investment,digital literacy,digital economy and digital application,and promote the deep integration of digitalization and green technology innovation.

Research on the Threshold Effect of China’s Pharmaceutical Export Trade on Internal and External R&D Investment

Objective To study the threshold effect of export trade on internal and external R&D investment in China’s pharmaceutical industry,and to provide reference for some pharmaceutical enterprises to improve the investment.Methods The panel data of pharmaceutical industry in 25 provinces and cities in China from 2009 to 2019 were selected to conduct empirical analysis by establishing a threshold regression model,and a better export trade interval was obtained.Results and Conclusion There is a threshold value for the effect of new product export on both internal and external R&D expenditures,and the threshold values are 845.2788 million yuan and 318.4198 million yuan,respectively.There is a single threshold effect of export trade on both internal and external R&D investment in China’s pharmaceutical industry,and the effect of export trade on internal and external R&D investment changes from negative to positive as the export trade develops from low to high.

Research on the Effect of R&D Investment Intensity and Sales Expense on the Performance of Biomedical Enterprises

Objective To explore the influence of new drug R&D investment and sales expense on the performance of biomedical enterprises.Methods The financial statements of 76 listed biomedical enterprises for 5 consecutive years were selected,and the data were modeled to study the effect of R&D investment and sales expense on the performance of biomedical enterprises by using financial indicators as tools and statistical methods of multiple linear regression.Results and Conclusion Under the premise that the weak related factors such as enterprise scale,life cycle and asset-liability ratio are set as unrelated variables,the R&D investment intensity of biomedical enterprises is negatively correlated with the current performance,which also shows that the R&D of biomedical enterprises has the characteristics of high risk.Besides,the influence of early R&D investment is delayed.However,the sales expense of leading biomedical enterprises with large scales have higher proportion.Meanwhile the greater sales expense of the same enterprise in different periods,the better the enterprise performance is.Biomedical enterprises should consider their own development stage to develop more patented drugs.Besides,they must formulate plans for allocating reasonable sales personnel and cost expense to ensure that enterprises can obtain better benefits.

Research on the Relationship between Export Orientation and R&D Investment of China’s Pharmaceutical Industry in Different Regions

Objective To study the relationship between export orientation and research and development(R&D)investment so as to provide suggestions and references for improving the R&D investment level and innovation capabilities of pharmaceutical industry due to the progress of globalization and the continuous development of export trade of China’s pharmaceutical industry.Methods The relevant data of China’s pharmaceutical industry from 2001 to 2016 was selected to establish an error correction model based on the co-integration theory,and then the Granger causality test was conducted to determine the relationship between the export orientation and R&D investment of China’s pharmaceutical industry in different regions.Results and Conclusion It is found that the export orientation of the pharmaceutical industry in different regions has a significant negative impact on the investment of R&D.Among them,the middle region has the greatest impact,followed by the eastern and western regions.The export orientation of the pharmaceutical industry in the middle region has a lag effect on R&D investment,and the lag phase is two years.

Research on the Impact of Venture Risk Tolerance on R&D investments:Based on Entrepreneur Ability

How do start-ups enhance risk tolerance and core competition through product,technology,and service development?What is the relationship between the core competitiveness of start-ups and R&D investments?Based on the perspective of entrepreneurial ability,222 questionnaires were used to study the factors affecting the risk tolerance of start-ups and analyze the effect of risk tolerance on R&D investments.The research shows that the interactions of entrepreneur ability and start-up funds have a positive effect on the risk tolerance of start-ups,and the risk tolerance can positively promote R&D investment willingness and intensity for new products,technologies,and services.Also,R&D investment willingness plays a partial intermediary role between the risk tolerance of start-ups and the intensity of R&D investments.

Relationship between R&D investment and business performance from the perspective of environmental regulation: Takeing the heavy-polluting industries from 2011 to 2016 as an example

In recent years, China has promulgated many laws and regulations of environmental protection, gradually forming an environmental regulation system, and most enterprises are under the dual pressure of environmental protection and business performance. It would be a significant way that enterprises undertake R&D activities for a change. This paper is based on the Shanghai and Shenzhen A-share listed heavy pollution enterprises in 2011-2016, which is based on the review and summary of research results of former researchers, combining with current environmental regulation situation of our country, raising the relevant hypothesis between environmental regulations, R&D investment and business performance against heavy pollution industry. Adopting the method of empirical research, it also built the linear regression model which employs the relevant financial data of heavy-polluting enterprises in China as the statistical research sample. The relationship for heavy-polluting enterprises affected by environmental regulations between environmental protection R&D investment and enterprise business performance was tested. The results show that there is a positive influence on the environmental R&D investment and business performance, and a lag effect upon the R&D investment of enterprises to business performance. Finally, the research results were used to evaluates problems existing in the R&D investment on pollution industry in China as well as business performance and we put forward some suggestions on improving environmental regulation standards and technology innovation consciousness as well as optimizing the structure of R&D investment.

Research on the Relationship between Salary Incentives for R&D Personnel and R&D Investment in China’s Pharmaceutical Industry

Objective To explore the relationship between salary incentives for R&D personnel and R&D investment in China’s pharmaceutical industry through an empirical analysis so as to propose suggestions for increasing more R&D investment from the perspective of stimulating R&D personnel.Methods Based on the relevant data of the China’s pharmaceutical industry in the“China High-tech Industry Statistical Yearbook”and other data from the National Bureau of Statistics from 1995 to 2018,co-integration tests was used to construct error correction models and Granger causality tests to explore the relationship between R&D personnel salary incentives and R&D investment.Results and Conclusion There is a long-term balanced relationship between the salary level of R&D personnel in China’s pharmaceutical industry and the investment of R&D.For the per capita salary of R&D personnel increases by 1 unit,the internal expenditure of R&D investment will increase by 2.2451 units.In the short term,the per capita salary of R&D personnel has a slight negative impact on the internal expenditure of R&D investment.In addition,the salary incentives for R&D personnel have the most significant role in promoting R&D investment after five years of implementation.

Research on the Relationship between the Profitability and R&D Investment of Enterprises of Different Scales in China’s Pharmaceutical Industry

Objective To analyze the relationship between the profitability of pharmaceutical enterprises of different scales and their R&D investment.Methods The data of China’s pharmaceutical manufacturing industry from 1995 to 2016 were selected to establish a vector auto-regression mode,and then an impulse response function and variance decomposition were used to analyze the data.Results and Conclusion For large-scale pharmaceutical enterprises,1%increase in R&D input will lead to 0.792%increase of their main business profit.For medium-sized enterprises,if their main business profit increases by 1%,their R&D input will increase by 0.965%.Therefore,if their R&D input increases by 1%,their main business profit will increase by 1.036%.The improvement of the profitability of large-scale pharmaceutical enterprises cannot promote the increase of R&D capital investment.But the increase of profitability from medium-sized enterprises can promote the increase of R&D capital investment.As a result,the increase of R&D capital investment of large and medium-sized enterprises can improve corporate profitability.

Correlation of oil eld service companies’R&D investment on the basis of competitive speculation

When an oligopoly company decides how much should be invested in its R＆D, in order to reap the largest profits, it considers not only what its competitors have done but also how its competitors would respond to its action. Therefore, different relationships between oligopoly companies will lead to different responses in their decisions on R＆D investment. A correlation deduced from different responses of oligopoly companies in R＆D investment with the complete information tactic game theory is presented, and the R＆D investment of oilfield service companies was analyzed with this correlation. The correlations of Schlumberger＇s R＆D investment, Halliburton＇s R＆D investment and Baker Hughes＇ R＆D investment were established and analyzed. Meanwhile, two regression models were presented. One was composed of Schlumberger＇s R＆D investment in the previous year and Halliburton＇s R＆D investment. The other was composed of Schlumberger＇s R＆D investment and Baker Hughes＇ R＆D investment in the same year. The accuracy of these two models was proved to be good.

Demonstration Analysis of Relationship Between R&D Investment and GDP

To reveal the quantitative relationship between research and development (R&D) investment and gross domestic product (GDP) in China, we have demonstrated and analyzed the relationship between R&D investment and science and technology (S&T) progress, and based on a mount of S&T statistical data, have proceeded demonstration research of the relationship between R&D investment and GDP in China with Solow and vector auto regression (VAR) models. Cubic curve fitting and cross-correlation analysis of them with SPSS have shown that there is a strong synchronic relationship between R&D investment and GDP.

Empirical Study of the Relations between Executive Compensation Gap and R&D Investment in Pharmaceutical Manufacturing Enterprises

Objective To study the correlation between executive compensation gap and R&D investment of pharmaceutical manufacturing enterprises in China by taking 53 pharmaceutical manufacturing companies in Shanghai and Shenzhen stock exchanges from 2015 to 2017 as research samples. Methods Multiple linear regression methods was used to study the relationship and influence between executive compensation gap and R&D investment in pharmaceutical manufacturing industry based on championship theory and principal-agent theory. Results and Conclusion There is a significant positive correlation between executive compensation gap in pharmaceutical manufacturing industry and enterprise R&D investment. Listed pharmaceutical manufacturing enterprises should design reasonable salary gap between senior executives and carry out reasonable research and development activities to promote the sustainable development of pharmaceutical manufacturing enterprises. This study provides theoretical basis for optimizing executive compensation gap and increasing R&D investment in pharmaceutical manufacturing industry.

Co-integration Analysis of the Relationship between New Product Output and R&D Investment in China’s Pharmaceutical Industry

Objective To study the possible relationship between the output of new products in China’s pharmaceutical industry and the investment in research and development(R&D),and to provide a theoretical basis for the decision-making of relevant enterprises and institutions.Methods The econometric software Stata 14 was used to perform unit root test on the relevant data.Then,a co-integration regression equation was established after stabilization,which was analyzed through co-integration test(E-G two-step method).Results and Conclusion There is a long-term equilibrium and short-term error correction relationship between the output of new products and the investment of R&D funds in China’s pharmaceutical industry.During the lagging periods from 1 to 6,R&D investment is the Granger reason for the output of new products.The investment of R&D funds has a positive effect on the output of new products and the effect is significant.Therefore,more investment should be made in R&D to enhance the output of new products.

Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

With the implementation of the Belt and Road Initiative, China is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for China's overseas investment macro-layout. This paper proposes an indicator system including 27 indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2014 to 2021. Finally, the GM(1,1) model is employed to predict risk values for 2022-2025. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12 countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decisionmaking recommendations for the Chinese government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

Microstructure and mechanical properties of Co-28Cr-6Mo-0.22C investment castings by current solution treatment

This study examined the impact of current solution treatment on the microstructure and mechanical properties of the Co-28Cr-6Mo-0.22C alloy investment castings.The findings reveal that the current solution treatment significantly promotes the dissolution of carbides at a lower temperature.The optimal conditions for solution treatment are determined as a solution temperature of 1,125°C and a holding time of 5.0 min.Under these parameters,the size and volume fraction of precipitated phases in the investment castings are measured as6.2μm and 1.1vol.%.The yield strength,ultimate tensile strength,and total elongation of the Co-28Cr-6Mo-0.22C investment castings are 535 MPa,760 MPa,and 12.6%,respectively.These values exceed those obtained with the conventional solution treatment at 1,200°C for 4.0 h.The findings suggest a phase transformation of M_(23)C_(6)→σ+C following the current solution treatment at 1,125°C for 5.0 min.In comparison,the traditional solution treatment at 1,200°C for 4.0 h leads to the formation of M_(23)C_(6)and M_(6)C carbides.It is noteworthy that the non-thermal effect of the current during the solution treatment modifies the free energy of both the matrix and precipitation phase.This modification lowers the phase transition temperature of the M_(23)C_(6)→σ+C reaction,thereby facilitating the dissolution of carbides.As a result,the current solution treatment approach achieves carbide dissolution at a lower temperature and within a significantly shorter time when compared to the traditional solution treatment methods.

Impact of the carbon market on investment benefits of power-grid enterprises in China: a system dynamics analysis

The power grid,as the hub connecting the power supply and consumption sides,plays an important role in achieving carbon neutrality in China.In emerging carbon markets,assessing the investment benefits of power-grid enterprises is essential.Thus,studying the impact of the carbon market on the investment and operation of powergrid enterprises is key to ensuring their efficient operation.Notably,few studies have examined the interaction between the carbon and electricity markets using system dynamics models,highlighting a research gap in this area.This study investigates the impact of the carbon market on the investment of power-grid enterprises using a novel evaluation system based on a system dynamics model that considers carbon-emissions from an established carbon-emission accounting model.First,an index system for benefit evaluation was constructed from six aspects:financing ability,economic benefit,reliability,social responsibility,user satisfaction,and carbon-emissions.A system dynamics model was then developed to reflect the causal feedback relationship between the impact of the carbon market on the investment and operation of power-grid enterprises.The simulation results of a provincial power-grid enterprise analyze comprehensive investment evaluation benefits over a 10-year period and the impact of carbon emissions on the investment and operation of power-grid enterprises.This study provides guidelines for the benign development of power-grid enterprises within the context of the carbon market.

By Deepening Regional Cooperation,the CCPIT Serve as a Bridge for Foreign Investment

On June 28,t he China Council for the Promotion of International Trade(CCPIT)held its regular monthly press conference in Beijing.Spokesperson Zhao Ping introduced China’s latest progress and policy trends in terms of attracting foreign investment,regional cooperation and supporting Chinese brands at the meeting.

China’s Unprecedented Focus on Foreign Investment

The Communique of the Third Plenary Session of the 20th Central Committee of the Communist Party of China(CPC),which has just been concluded,mentions that it is necessary to steadily expand institutional opening-up,deepen foreign trade structural reform,further reform the management systems for inward and outward investment,improve planning for regional opening up,and refine the mechanisms for high-quality cooperation under the Belt and Road Initiative.

Research on the Influence of Government R&D Funding and Enterprise R&D Investment on the Innovation Efficiency of Pharmaceutical Industry

Objective To study the effect of government R&D funding and enterprise R&D input on innovation efficiency of China’s pharmaceutical industry.Methods Based on the inter-provincial panel data of China’s pharmaceutical industry from 2009 to 2019,the stochastic frontier analysis method was used to study the influence of government R&D funding and enterprise R&D input on the innovation efficiency.Results and Conclusion With 1%increase in government R&D funding,the innovation efficiency of enterprises will increase by 0.122%.When R&D investment increases by 1%,innovation efficiency will increase by 0.169%.Both government R&D funding and enterprise R&D investment promote the innovation efficiency of pharmaceutical enterprises,but the increase of enterprise R&D investment contributes more to the improvement of pharmaceutical innovation efficiency.

Agricultural Investment Project Decisions Based on an Interactive Preference Disaggregation Model Considering Inconsistency

Agricultural investment project selection is a complex multi-criteria decision-making problem,as agricultural projects are easily influenced by various risk factors,and the evaluation information provided by decisionmakers usually involves uncertainty and inconsistency.Existing literature primarily employed direct preference elicitation methods to address such issues,necessitating a great cognitive effort on the part of decision-makers during evaluation,specifically,determining the weights of criteria.In this study,we propose an indirect preference elicitation method,known as a preference disaggregation method,to learn decision-maker preference models fromdecision examples.To enhance evaluation ease,decision-makers merely need to compare pairs of alternatives with which they are familiar,also known as reference alternatives.Probabilistic linguistic preference relations are employed to account for the presence of incomplete and uncertain information in such pairwise comparisons.To address the inconsistency among a group of decision-makers,we develop a pair of 0-1mixed integer programming models that consider both the semantics of linguistic terms and the belief degrees of decision-makers.Finally,we conduct a case study and comparative analysis.Results reveal the effectiveness of the proposed model in solving agricultural investment project selection problems with uncertain and inconsistent decision information.

Chinese Enterprises’ Investment in Southeast Asia Continues Unabated

As we all know,Southeast Asia has become a hot destination for Chinese enterprises to invest in.The latest report shows that Southeast Asia continues to attract China’s capital,within which the medical industry has become an important area for Chinese enterprises to invest in,and the investment activity has gradually warmed up despite fluctuations.