Industrial Technological Innovation Research Articles

Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models.

Improving the logistics ecological efficiency (LEE) has become a significant part of ensuring a sustainable development and tackling environmental pollution. Previous studies in the logistics industry seldom considered air pollutants and the association of spatial information. Therefore, innovatively considering SO2, NOx, and PM, this study adopted the super-SBM-undesirable model to calculate the LEE of 30 provinces in China from 2005 to 2019 and, thereafter, developed information-based matrix to explore its influencing factors by using the spatial Dubin model. The results indicated that (1) the overall LEE was low with the average of 0.657, presenting a three-stage trend of "decreasing first, then rising, and later stable," and significant regional differences with the decreasing gradient pattern of the "Eastern-Central-Western." (2) A spatial directionality distributed from the northeast to southwest and a significant spatial autocorrelation were observed. (3) The LEE had a significant positive spillover effect. Industrial structure, urbanization level, environmental regulation, and technological innovation level had a positive impact on the local LEE, and industrial structure displayed the most promoting effects. Energy intensity, economic level, energy structure, and opening level had a significant effect on the local LEE with varying degree of inhibition. Local energy intensity and environmental regulation had a positive influence on the LEE in neighboring areas, while local opening level had inhibiting effects. In addition, policy recommendations for enhancing the LEE were made.

Impact of sci-tech finance on the innovation efficiency of China's marine industry

To realize the high-quality development of China's marine economy, it is important to vigorously promote blue finance and increase the support of science and technology finance for the innovation development of the marine industry. Based on the existing literature research, this paper uses two-step empirical evidence to investigate the role of science and technology finance on the innovation efficiency of the marine industry by combining the development status of science and technology innovation, science and technology finance in the marine industry. The results of the study show that government financial investment in science and technology finance has a significant contribution to the innovation efficiency of the marine industry; The innovation efficiency of marine industry is positively but not significantly affected by the investment of enterprises' funds in science and technology, and the innovation efficiency is inhibited by the investment in entrepreneurial risk management. In addition, there are still large differences in the efficiency of innovation in the marine industry among different regions. Moreover, we propose the government support the marine industry science and technology innovation fully, optimize risk investment and improve the investment return guarantee mechanism, and unblocked the indirect financing channels of the financial market for the sea-related science and technology innovation enterprises, and give policy recommendations to develop the marine industry science and technology innovation activities.

Green Finance Innovation and Regional Green Development

Through the use of 30 provincial panel datasets covering the years from 2013 to 2017, on the basis of constructing the regional green development indicator system, this paper used the fixed-base range entropy weight method to measure the regional green development level. The difference-in-differences model was used to test the policy effect, the mechanism of the establishment of the green financial reform, and the innovation pilot zone on green development. The results showed that: (1) the establishment of the pilot zone promotes regional green development and shows regional differences; (2) under the guidance of policies, the provinces that set up the pilot zone affect the level of regional green development mainly through the upgrading of industrial structure and technological innovation; further research has found (3) a high level of financial investment in environmental protection and marketization, which will help the pilot zone to further play a positive role in promoting the green development of the region. The results of this article indicated that China should continue to expand the scope of green finance reform and innovation pilot zones and make reasonable arrangements among regions according to local conditions to explore new ways of promoting green development. At the same time, the government should actively play the role of green finance in the pilot zone to promote industrial structure upgrading and technological innovation and guide market players to establish green development concepts to gradually build an environmentally friendly, circular model economy to enhance the overall green development capacity of the region.

China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents

Based on patent information, the paper analyzes the technological comparative advantages from the perspective of industrial chain, and adopts the Social Network Analysis (SNA) method and knowledge production function model to explore technological innovation network structure of China's rare earth industry and its driving force. The results show that, overall, China's rare earth industry technological innovation ability has continued to increase in terms of the breadth and depth, and the industrial chain has shown the characteristics of “strong upper and weaker lower”. The network structure analysis show that the overall technical connection network tends to be close and stable, but it is still in a state of weak connection. In terms of individual networks, technologies represented by the development, extraction and smelting of rare earth resources constitute the core participants in the innovation network, and play the role of the power and control center of the technological innovation network. Further factors identification shows that China's innovation environment is the biggest driving force for technological innovation in the rare earth industry, followed by R&D investment and resource retention capacity. Additionally, the development of strategic emerging industries related to rare earths and resource production capacity have obvious lag effect on the technological innovation level.

Will researching digital technology really empower green development?

The information industry has become a “new engine” driving the growth of the world economy. However, there are many controversies about whether digital technology can reduce the intensity of carbon emissions. Based on OECD data, KPWW method and multiple panel regression, this paper explores the impact and mechanism of digital technology innovation and technology spillover to the domestic carbon emission intensity. Through impulse response analysis and variance decomposition, the comprehensive impact of digital technology on carbon intensity is clarified. This paper concludes that technology innovation in the information industry will increase the intensity of carbon emissions, while cross-industry technology spillovers are persistent for reducing the intensity of domestic carbon emissions. Since the emission reduction effect of technology spillover is greater than the emission increase effect of technology innovation, the digital technology would empower domestic green development. Increasing the proportion of non-fossil energy use and optimizing the industrial structure are effective mechanisms for digital technology innovation to reduce carbon emission intensity.

The Environmental Effects of International Trade in China: Measuring the Mediating Effects of Technology Spillovers of Import Trade on Industrial Air Pollution

China is in a strategic phase of an industrial green transformation. Industrial air pollution is a key environmental target for governance. Because import trade is a core channel through which advanced environmental protection technology is absorbed, the question of whether technology spillovers brought about by import trade can reduce industrial air pollution emissions is a topic worth exploring. This paper uses a generalized spatial two-stage least-square (GS2SLS) model to explore the impact of import trade technology spillovers on industrial air pollution emission intensities using panel data from 30 provinces and cities between 2000 and 2017. Economic scale, industrial structure, and technological innovation are used as intermediary variables to test whether they play mediating effects. The results show that: (1) capital and intermediate goods technology spillovers directly reduce industrial air pollution emission intensity and (2) import trade technology spillovers indirectly reduce emission intensities by expanding economic scale, optimizing industrial structure, and enhancing technological innovation through mediating variables. Furthermore, industrial structure optimization and technological innovation have the largest mediating effects on industrial SO2, while economic expansion has the most significant mediating effect on industrial smoke and dust. The mediating effects of technology spillovers from intermediate goods exceed those of capital technology spillovers. Finally, industrial air pollution emission intensity demonstrates both spatial agglomeration and time lag effects. Environmental regulations and energy structure are shown to increase industrial air pollution emissions, while urbanization and foreign direct investment reduce industrial air pollution. Based upon these research results, some pertinent policy implications are proposed for China.

Research and Technology Organizations as Super Intermediaries: A Conceptual Framework for Policy and a Case Study From Tanzania.

Research and Technology Organizations (RTOs) have key roles in stories of national industrial development in many countries, and in various contexts they have transformed according to changes in their surrounding economic and policy environments. This paper proposes a conceptual framework of ‘RTOs as super intermediaries’ as they play multiple intermediary roles in the triple helix (government, research and industry), the overlap of industrial policy and research policy, and research-industry frontiers. The framework helps in understanding and advancing the role of RTOs in industrial development, particularly in developing countries. For a case study, the paper showcases research in Tanzania that explored possibilities of revamping RTOs and whether investing in them would help in spurring Tanzania's industrial development. Through key informant interviews and systemic literature review, a case study on the challenges and opportunities of RTOs was designed to examine their role and potential in industrial development and technology innovation processes. The study findings were overall in-line with two main lenses of inquiry: 1) that for RTOs to play their key roles in Tanzania, industrial policies shaped by the command economy era before the 1990s need to be reviewed and modified; and 2) that more investment in revamping RTOs will take place if policymaking processes acknowledge RTOs as super intermediaries. To organize policy lessons drawn, a multi-level policy map—micro, meso and macro—was utilized as an analytical tool.

Does the "10-Point Water Plan" reduce the intensity of industrial water pollution? Quasi-experimental evidence from China

The Action Plan for Water Pollution Prevention and Control (i.e., the "10-Point Water Plan") is a regulation formulated by China to prevent and control water pollution and ensure China's water safety. To test the policy effect of the "10-Point Water Plan", we use data from 269 cities for the period from 2012 to 2017 to examine whether the implementation of the plan can help reduce the intensity of industrial water pollution. The results show that the industrial water pollution intensity in Central and Western China is significantly higher than that in other regions, and the implementation of the "10-Point Water Plan" significantly reduces industrial water pollution intensity in China. We further find that upgrading industrial structures and technological innovation are effective ways to ameliorate the intensity of industrial water pollution. In terms of spatial heterogeneity, the impact of the "10-Point Water Plan" on reducing industrial water pollution is smaller in areas with high environmental regulation intensity than in areas with low environmental regulation intensity. We also find a strong inhibitory effect of environmental regulations on industrial water pollution intensity in areas with low environmental regulation intensity. Our findings support the positive policy effect of the "10-Point Water Plan" and provide significant policy implications for water pollution prevention and control actions in China and other countries.

An empirical study on industrial eco-efficiency in arid resource exploitation region of northwest China.

Located in the northwest of China, Xinjiang is a typical arid desert area and mineral resources development zone. The lack of water resources and a fragile ecological environment restricts the sustainable development of the region. Based on the industrial panel data of Xinjiang from 2001 to 2015, this paper uses the undesirable output SBM model, Malmquist index model, and Tobit regression model to comprehensively and systematically measure and evaluate the industrial eco-efficiency and its change characteristics from provincial, regional, and prefectural levels. The results show that (1) the industrial eco-efficiency level in Xinjiang is generally low, lower than the national average, but the development trend is good, and it has been steadily rising over time, from 2001 to 2015 and from the "Tenth Five-Year Plan" period to the "Twelfth Five-Year Plan" period. (2) The spatial distribution of industrial ecological efficiency of Xinjiang is not balanced. Northern Xinjiang is larger than that of eastern Xinjiang and the southern Xinjiang. The developments of 14 prefectures are uneven and asynchronous, which can be divided into two development modes: industrial and agriculture and animal husbandry region. (3) Through the decomposition analysis of the Malmquist index, it has been found that the technological progress index is the restriction factor of the changing trend of TFP, while the technical efficiency index and the pure technical efficiency index are the promoting factors. (4) The main factors causing the decline in ecological efficiency are industrial sulfur dioxide emissions, industrial nitrogen oxide emissions, total industrial water consumption, and general industrial solid waste. It can be seen that the emission of air pollutants and excessive industrial water are the main problems in the region. (5) Industrial ecological efficiency is positively correlated with industrial development level, scientific and technological innovations, industrial structure, and environmental planning, whereas negatively correlated with the degree of opening up and industrial agglomeration. (6) Xinjiang is an extremely arid and water-scarce region. These are the keys and prerequisites for saving water resources and strengthening the comprehensive utilization of water resources. Whether in the industrial areas or in the agricultural and animal husbandry areas, water conservation should be given top priority.

FROM EMERGENT TO INNOVATIVE RISKS IN FRANCE: SPECIFICATION OR STANDARDIZATION OF THE OCCUPATIONAL RISKS OF NANOMATERIALS?

The process by which occupational risks in industry and manufacturing emerge has been established as a subject of research in sociology. This often-contentious process draws on toxicological findings that may or may not be accepted as established, and on epidemiological observations of pathologies. Logically enough, there has been little interest in the toxicological risks of innovative industrial technologies, due to a lack of specific cases. With the development of new technologies such as nanomaterials, the question of risks has been formally raised but has not been addressed in terms of clear toxicological results or epidemiological observations. My goal in this article is to introduce the notion of “innovative risk” to refer to a process of making risks a subject of research and discussion before evidence of health problems has been established. By examining how French labor administrations and occupational medicine organizations monitor such risks in companies and research laboratories, I will demonstrate a tension between, on the one hand, the acknowledged specificity of these risks, and, on the other hand, the standardization of actual oversight. This tension calls into question the ability of research on industrial occupational risks to approach and analyze innovative risks.

Analysis and forecast of textile industry technology innovation capability in China

The textile industry of China has been facing with fierce competition and transformational pressures. It is of great significance to study the evolution of textile industry’s technological progress and to predict the trends. The study analyses the technological innovation ability of China’s textile industry based on the data of 270,145 patent applications from 1987 to 2016. At the same time, the Logistic model is used to forecast the technology innovation capability of China’s textile industry. The study found out: the number of Chinese textile patent applications is on a upward trend; enterprises and universities are the most important patentee; the regional distribution of textile technology innovation is uneven; the number of patent applications in the southeast coastal areas is the largest; the distribution of the IPC is also uneven, D06 (fabric treatment) having the largest number of patent applications and the fastest growth rate; China’s textile industry technology innovation has entered a maturity stage in 2018, and will enter the recession stage after 2027 based on the Logistic model.

High-speed rail accessibility and haze pollution in China: A spatial econometrics perspective

With deteriorating air quality in Chinese cities, high-speed rail (HSR) has attracted serious attention as an efficient transportation system to contain haze pollution across the country. This study introduces the concept of HSR accessibility and applies the generalized spatial two-stage least square method to examine the effect of HSR on haze pollution in China. A time-varying difference-in-difference strategy is then employed to recognize the causality from HSR to the haze pollution and eliminate endogeneity. Based on a panel dataset comprising 285 cities over 2010–2018, we find a negative effect of HSR accessibility on haze pollution. An increase of one standard deviation in HSR accessibility reduces PM2.5 concentration by 0.22%. However, the HSR pollution reduction effect varies significantly across cities. It is found that HSR can reduce haze pollution by improving the efficiency of resource allocation as well as promoting industrial structure change and technological innovation. This study proposes a new solution for pollution, i.e., improving urbanization quality through intercity transport efficiency enhancement.

Urbanization and haze-governance performance: Evidence from China's 248 cities

Using a panel data set of 248 Chinese cities at the prefecture level and above from 2004 to 2013, this study employs the data envelopment analysis (DEA) method based on a non-angular and non-radial directional distance function (DDF) combined with the overall technology, to measure the haze-governance performance. Furthermore, we construct a composite index based on the nighttime light (NTL) data to reflect the urbanization level, and use a spatial Durbin model (SDM) to investigate the effect and its mechanism of urbanization on the haze-governance performance. The results show a significant U-shaped curve relationship between urbanization and haze-governance performance for the samples of both the whole country and sub-regions. When urbanization exceeds a certain critical level, urbanization is conducive to the improvement of haze-governance performance. The proportion of cities exceeding the critical level in eastern China is higher than in central and western China. The mechanism analysis reveals that urbanization exerts a U-shaped influence on haze-governance performance via the effects of industrial structure, technological innovation, and human capital accumulation. In addition, as for the whole country, urbanization in neighboring regions also has a U-shaped spatial spillover effect on local haze-governance performance; however, the corresponding critical value is relatively small. In eastern China and in central and western China, urbanization in neighboring regions exhibits one-way positive and negative effects on local haze-governance performance, respectively.

RETRACTED ARTICLE: Agglomeration of technology innovation network of new energy automobile industry based on IoT and artificial intelligence

We have entered the era of big data. Traditional B2C monitoring platforms are far from being able to meet the needs of existing users, and transmission costs will create invisible pressure. Data are the intangible assets of new energy vehicle companies. With the increase in user usage and the accumulation of data, more and more people have begun to discuss how to monitor the operation of data to provide effective data for operators and end users of new energy vehicles. From the perspective of cluster technology, the impact of industrial innovation and various aspects of industrial innovation are explained in detail. The technological innovation process of clusters and industrial clusters is complex system engineering. Under the conditions of the result of interaction, various elements of industrial clusters are formed in a specific social and economic environment to promote interaction. Second, from saving transaction costs to facing the internal mechanism of industrial cluster technological innovation, theoretically analyze the industrial value chain of knowledge sharing, supplementary assets and industrial cluster knowledge, and then analyze from the industrial cluster innovation. The technological innovation mechanism in this paper is the network structure, application mechanism and functional mechanism of the industrial cluster innovation network. Based on game theory, through the establishment of a microeconomic model to analyze the internal mechanism of the ripple effect and integration effect under technological innovation, and verify it by measuring the ripple effect, integration effect and technological innovation of the internal mechanism.

Identification of Driving Factors of Scientific and Technological Innovation in the New Material Industry Based on the Theory of Complex Adaptive System: Taking the Construction of Green Innovation System as an Example

Complex adaptation systems are the main development direction of China’s current green innovation research. New material industry is one of the key entry points to accelerate the construction of modern industrial system and promote innovation, green, and efficient development. Under the requirements of China’s current low-carbon development, China’s green innovation system is developing rapidly. Green innovation complicates traditional innovation models and their functions and improves economic development. The purpose of this paper is to study the theoretical analysis framework of applying complex adaptive systems and to analyze and calculate the characteristics of the current status of green innovation systems in multiple industries in China’s manufacturing industry. Analysis is as follows. The experimental group and the control group are set for comparison, and the data are organized by applying complex adaptive system theory and data analysis methods. Experimental data show that the coordinated development of the green innovation systems in various industries in China is not balanced, with a difference of more than three times; the parameters of the various green innovation systems within the industry are unbalanced, and the difference is more than five times. The experimental results show that the green innovation subject can strategically interact by adjusting the ratio of resource allocation through the constructed green innovation system model. The green innovation system with complex adaptive system theory is conducive to the development of the green system. It can save about 23% of green innovation time and improve efficiency by about 15%, to promote the development of green innovation in China.

The Influencing Factors and Promotion Countermeasures of Industrial Generic Technology Diffusion Based on Differential Game

Many factors affect the diffusion of generic technology due to the variety of generic technology and the multiplicity of diffusion carriers. Therefore, it is very urgent to determine the main factors that influence generic technology diffusion. Based on theories of industrial generic technology diffusion, this paper constructs a differential game-based model between government and enterprises. Then, this study explores the key factors that affect the diffusion strategy of industrial generic technology innovation and analyzes the possible method for improving industrial generic technology innovation diffusion. The following conclusions are obtained. Incentive measures, rewards, and penalties play a key role in the diffusion of generic technology, and the costs and benefits incurred by the diffusion are critical to the diffusion of generic technology. Also, the net income of enterprises has a positive impact on the adoption of generic technology diffusion. After that, this paper carries out data simulation for result verification and provides some policy implications.

Industrial technology innovation management for sustained prosperity: True stories revealing the complexity of replicating South Korean success

The basic premise of this "perspective" essay is an observed persistent desire of many South and South-East Asian developing nations to acquire economic prosperity by directly emulating the South Korean "Selective Industrial Technology Innovation Induced Sustainable Economic Development" success model. Alas, this aspiration so far remained a mirage. To explain the inherent "problematic" associated with economic development using an imitation strategy, true stories are presented in this essay that shine on inadequate "cultural" interventions in national techno-economic development work. Recurring observations by Sharif brought to his mind that most country programs have generally been executed by focusing solely on the aspired model "mechanics" without necessary robust attention to the underlying principle of creating an "innovation culture/climate" as rock-bottom foundation mound for implementing sustainable development plans. To reveal some validity of this assertion, Sharif presents in this perspective essay "ten true stories" that he personally studied for two decades. The stories are: (1) True Story on Suspicion and Disrespect; (2) True Story on Mindset Constraint; (3) True Story on Caring for the Weak; (4) True Story of Super Achievers; (5) True Story on Failure to Follow Through; (6) True Story on 'Turn Right' into the River; (7) True Story of Motherly Protection; (8) True Story of Supreme Commitment; (9) True Story of KIST and MOST Illusion; and (10) True Story on Plan Implementation. Though these stories are a little dated, similar condition is still observed to be prevailing in many parts of the world. So, it is sincerely hoped that the extensive experience based lessons learned and noted pitfalls that need to be avoided might give useful guidance for all developing nations of the world having similar action agenda.

Exploration on the Training Mode of Computer Professionals Based on the Concept of “New Engineering”

With the national industrial upgrading and technological innovation in recent years, the construction industry is leading in the direction of informatization, industrialization, intelligence and international integration, which puts forward new requirements for the current traditional mode of computer talent training. The innovation of talent training mode, the improvement of education and teaching, the improvement of education resources and so on have become the urgent problems of new engineering computer professional talent training Absolutely. This paper analyzes the current situation of "new engineering" talent demand and training, points out the shortcomings of the current computer talent training in the teaching concept, teaching mode, teachers and so on, and explores the new engineering computer talent training mode. And take the practice of Henan University School of civil engineering and architecture in the new engineering personnel training as an example, hope to have a certain reference significance for the new engineering computer professional personnel training. Keywords: new engineering; computer; interdisciplinary training; subject integration DOI: 10.7176/JEP/12-8-03 Publication date: March 31 st 2021

Study on coordination of industrial technology ambidextrous innovation in knowledge ecology spiral

Purpose Knowledge input development and innovation implementation are new features of industrial technology innovation. The purpose of this study is to find the process of coordination and ecological spiral in the ambidextrous innovation of industrial technology. Design/methodology/approach To design the model of industrial technology ambidextrous innovation based on knowledge ecology spiral, an input-output model of knowledge for ambidextrous innovation and a spiral model of knowledge ecology were constructed based on an improved Lotka-Volterra model. Then, the equilibriums in different knowledge inputs and the spiral evolution of knowledge ecology were analyzed. Finally, the ambidextrous coordination mechanism of the core organization was revealed. Findings By coordinating the knowledge inputs and the knowledge ecology spiral, enterprises extend the R&D investments in the innovation chain, which will facilitate the knowledge inputs of the exploitative and exploratory innovation. Implementing the ambidextrous coordination in the technology innovation chain and the knowledge ecology chain has the advantage of promoting knowledge inputs, mobility and ecological spiral. Meanwhile, it can achieve the “multi-source, integration and coordination” development of industrial technology innovation. Originality/value The two-element innovative knowledge input coordination model and the knowledge ecological spiral model based on the improved Lotka-Volterra model are constructed, which extends the modeling way of the traditional knowledge input-output profit model. It is expected to reduce the amount of knowledge input of a single member and provide theoretical reference for improving the efficiency of knowledge input by constructing the inter-dependent regenerative and inter-generative knowledge interaction.

Clarification of sunflower oil with nanocarbon sorbent and analysis of product quality indicators

The concept of Industrie 4.0 involves the introduction of innovative industrial technologies. Sunflower oil is the most common vegetable oil in Russia. Improvement of sunflower oil quality is required taking into account changes in the domestic and foreign markets of Russia. The process of oil clarification with nanocarbon structures is proposed in the article. The influence of fullerene-containing sorbent on the efficiency of sunflower oil clarification process was investigated in the work. The mathematical model of the process is developed with the complete factorial experiment. Colour, acid number, mass fraction of moisture and volatile substances were taken as quality indicators. Variable indicators were the amount of fullerene-containing sorbent, the particle size of the fullerene-containing sorbent and the clarification process temperature. Series of experiments were carried out. According to them the values of color and acid numbers, mass fraction of moisture and volatile substances of the oil were obtained. The indicators obtained were compared with the oil indicators after the traditional clarification method. According to the built mathematical models graphs, a comprehensive quality indicator was determined as well as the optimal values of the conditions for the clarification process. It was found out that the use of fullerene-containing carbon as a sorbent for sunflower oil clarification improves the acid number by 80%, the mass fraction of moisture and volatile substances – by 74%, and the color index – twice. Thus, the use of fullerene-containing carbon as an adsorbent makes it possible to obtain world-class sunflower oil.