•Artificial intelligence (AI) significantly promotes technological innovation.•AI promotes technological innovation by knowledge creation and spillover, learning and absorption, and investment in ...R&D.•This paper empirically tests the promotional effect of AI on technological innovation and its sector heterogeneity.
This paper analyzes the impact of artificial intelligence (AI) on technological innovation through logic reasoning and empirical modeling. Based on the industrial robot data provided by the International Federation of Robotics (IFR) and the panel data of China's 14 manufacturing sectors from 2008 to 2017, this paper empirically analyzes the impact of AI on technological innovation. Our analysis shows that the mechanism of how AI affects technological innovation is that the former promotes technological innovation through accelerating knowledge creation and technology spillover, improving learning and absorptive capacities, while increasing R&D and talent investment. Our empirical results indicate that under the condition of controlling intensity of R&D investment, FDI, ownership structure, technical imitation, AI significantly promotes technological innovation. And the impact of AI on technological innovation experiences sector heterogeneity: AI has more significant impact on the technological innovation of low-tech sectors. The higher the level of AI, the greater its impact on technological innovation. Based on our established conclusions, we provide corresponding suggestions and recommendations for managerial decision-making.
Urban governance is an important cornerstone in the modernization of a national governance system. The establishment of smart cities driven by digitalization will be a vital way to promote economic ...green and sustainable growth. By using the data of 274 prefecture-level cities in China from 2004 to 2017, we study the impact of smart city policy on economic green growth and the underlying mechanism of the impact. It is shown that the establishment of smart cities has significantly promoted the green growth of China’s economy. This conclusion is further confirmed by using exogenous geographic data as instrumental variables and robustness tests, such as the quasi-experimental method of Difference in Difference with Propensity Score Matching (PAM-DID). The mechanism test shows that promoting economic growth, reducing per unit GDP energy consumption, and lowering waste emissions represent three ways for smart cities to promote green economic growth. The heterogeneity test shows that smart city policy has an obvious promotional effect on the economic green growth of both large cities and non-resource-based cities. This paper is expected to provide a reference for the urban development and economic transformation of emerging economies.
This book presents fundamental theory, methods, and practical applications of grey systems theory, absorbing recent theoretical and applied advances, and vividly presenting the overall picture of ...this new theory and its frontal research activities.
Financial agglomeration and green economic growth have become a trend in global financial and economic development. This paper analyzes the impact mechanism of financial agglomeration on green ...economic growth from two angles: growth promotion and energy conservation/emission reduction. Based on the Slacks Based Model-Data Envelopment Analysis (SBM-DEA) of undesired outputs, the green economic growth efficiency of 30 regions in China from 2008 to 2017 was measured. The study uses a spatial measurement model and finds that financial agglomeration has a significant positive effect on green economic growth. The specific manifestation is that with a 1% increase in the level of financial agglomeration, the productivity of green total factor increases by about 0.1837% and 0.0964% green economic growth in neighboring areas. Further analysis shows that this improvement in green total factor productivity is mainly achieved through technological advancement that promotes coordinated economic growth, energy saving and emission reduction.
With rapid economic development, related social issues have become more prominent than before. How to effectively encourage enterprises to undertake more corporate social responsibility (CSR) and ...maintain the sustainable development of society has become an urgent task for managers and researchers to resolve. With respect to decision problems of a retailer-dominated supply chain considering CSR under government subsidy, based on game analysis technology, we establish a three-stage Stackelberg game model that consists of the government, a dominant retailer and n suppliers, and exploit it for analyzing the optimal decisions either with or without government subsidy, and explore the impact of the government subsidy on the profits of the members of the supply chain, the CSR effort level and social welfare in the retailer-dominated supply chain, and determine the relationship between the optimal government subsidy rate and CSR level. Our results show that the higher the effort level is, the more positive effect on the profits the whole supply chain experiences. Compared with those situations under non-government subsidies, a certain range of government subsidies can promote the supply-chain members to undertake CSR and improve overall performance of the supply chain and the welfare of the society.
This book is devoted to a systems-theoretical presentation of the main results of applying the systemic yoyo model and relevant analytical tools to the topics of money and financial institutions. The ...author presents the main concepts and results of the subject matter in the language of systems science, which has in the past century prompted revolut
Not only has artificial intelligence changed the production methods of traditional industries; it has also presented a great opportunity for future industrial development to decouple from ...environmental degradation and the promotion of green economic growth. The article studies the influence of artificial intelligence on green economic growth and its mechanism. The research shows that (1) artificial intelligence can promote green economic growth in China. After accounting for spatial factors, it was found that artificial intelligence could promote local green economic growth, but had a siphon effect on neighboring green economic growth. From the perspective of dynamic effects, in the short term, artificial intelligence will not significantly dampen green economic growth in neighboring regions. In the long run, artificial intelligence will have a stronger role in promoting green economic growth, and the siphon effect on neighboring cities will be more significant. (2) As the level of human capital increases, the negative spillover effect of artificial intelligence will be significantly weakened. The promotion effect of artificial intelligence on green economic growth is relatively weak in resource-based cities. (3) Artificial intelligence has obvious attenuation characteristics on the spatial spillover effect of green economic growth, but significant influence is limited to within 200 km. (4) Artificial intelligence has the greatest impact on productivity, accounting for 30.59% in promoting green economic growth. The green innovation effect was 0.0181, accounting for 5.64%. The resource allocation effect is 0.0011, accounting for 3.44%. This paper provides policy enlightenment for promoting industrial intelligence and green economic growth.
Uncertainty distributions can help resolve the difficult problem of measuring subjective uncertainty within a trust relationship. This paper studies trust propagation and trust network evaluation in ...social networks by using uncertainty theory. First, we identify types of relationships between decision-makers (DMs) and construct the underlying trust network by defining the correlation function based on uncertain distances. Second, uncertainty optimization models of single-path and comprehensive indirect trust are developed so that the comprehensive indirect trust value between DMs can be simply calculated. A maximum belief degree model is introduced to compute the maximum belief degree and to obtain the optimal trust propagation path between two DMs. Third, by defining such a concept as consilience degree of a trust network, the trust relationship between DMs can be effectively measured. We also evaluate a trust network respectively from the perspectives of individual influence, the consilience level of the decision group and the stability of the local trust network. Finally, a real-world case of selecting the members of an enterprise credit group is illustrated to confirm the validity of our proposed methods and concepts in this paper.
•The subjective and objective trust degree between decision makers are considered.•The trust or conflict relationship between decision makers is identified.•Trust models of maximum belief degree based on uncertainty theory are constructed.•Trust relationship is measured effectively from the perspective of consilience.•Individual influence and group consilience level are got by trust evaluation.
Chinese government-led disaster relief mode has been timely, comprehensive, and highly efficient. China usually adopts a government-led disaster relief model to burden a share of catastrophe losses. ...However, adopting such a model has also exposed some important problems, such as excessive pressure on the government relief fund and an emerging imbalance in the catastrophe insurance market. The government disaster relief fund is subdivided into four categories: pre-disaster subsidy provided to insurance companies, pre-disaster subsidy to residents, post-disaster relief subsidy to insurance companies, and post-disaster relief to residents. By constructing a three-party evolutionary game model involving the government, potential catastrophe insurance participants, and insurance companies, the equilibrium of the catastrophe insurance market and the influencing factors that promote the stability of the evolutionary game was explored under the cooperation mechanism of bounded rationality in this paper. The allocation of the government disaster relief fund to insurance companies of potential catastrophe insurance participants for both before and after a disaster was discussed. Furthermore, possible shortcomings of catastrophe insurance disaster relief mode in China were analyzed. Lastly, a solution to the problem of how to relieve pressure on the government relief fund and how to enhance the ability of catastrophe risk protection was put forward. It is of great significance for China to establish a catastrophe insurance market based on commercial insurance products.
Many problems regarding channel conflicts exist in the pricing process of a manufacturer‐led dual‐channel supply chain. By considering the fact that online reviews and channel preferences are the ...important factors that influence consumer purchasing behaviors and the decision‐making of the supply chain, this paper deals with these problems through the development of a model involving online reviews and channel preferences. It then analyzes optimal decisions under either decentralized or centralized decision‐making scenarios. The impact of online review service input and consumer channel preference on optimal supply chain decisions and profits is further analyzed. Finally, based on the developed model, a revenue sharing contract coordination scheme is designed to achieve Pareto improvements in the supply chain. The results show that the degree of consumer preference for online channels affects the best consumer decisions and the overall profit of the supply chain. The impact coefficient of online reviews is positively correlated with the manufacturer's direct selling price, the level of input to online review services, and the profit of the entire supply chain. The provision of online review services can significantly increase channel prices, market sales, and profits compared to channel preferences. The overall profit of the supply chain under centralized decision‐making is significantly greater than that under decentralized decision‐making, and the coordination model can effectively coordinate the supply chain and alleviate conflicts.
