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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 is devoted to a systems-theoretical presentation of the main results of money and financial institutions by using the systemic yoyo model and relevant analytical tools. The author presents the main concepts and results in the language of systems science, which has in the past century brought forward revolutionary applications of systems research in various areas of the traditional disciplines. This book can be used as a textbook for researchers and graduate students in economics, finance, systems science, and mathematical / systems modeling. It will also be useful as a reference book for applied economists and various policy makers.

To help facilitate the development of a theoretically rigorous and practically useful theory of customer value propositions (CVP), as called for repeatedly by the extant literature, this paper establishes a game-theoretic theorem regarding the dynamics of market competition and potential market entry. On top of this result and by employing logical rigor and analytical reasoning, eight generally true facts are developed without suffering from the constraints of data- and anecdote- based approaches, as widely used in the literature. In particular, these established results reveal how a newly adopted CVP is associated with the three essential processes underlying a company’s operation, how it will be pivotal for the company to attain competitive advantages, how the value added by adopted CVPs can be determined, etc. At the end, recommendations for decision-making managers and entrepreneurs and potential questions for future research are provided.

Purpose The purpose of this paper is to examine the effect of peer pressure on joint consumption decisions among emerging adults. Building on prospect theory and characteristics of emerging adulthood, the authors propose that influence from peers (i.e. informational and normative influence) serves as a channel to understand how peer pressure shapes joint consumer behaviors at different levels of social capital. Design/methodology/approach An online survey is distributed to the emerging adults, aged 18 to 25, in the south, west, east and middle of the USA. Construct validity and reliability are tested by using confirmatory factor analysis. Structural equation modeling is used to test the mediating and moderating effects. Findings The results show that social capital moderates the relationship between peer pressure and group-oriented consumer decisions, such that the relationship is positive in groups with high-level social capital but negative in groups with low-level social capital. Furthermore, such effects tend to be achieved via peer influence. And peer influence is stronger in groups with high-level social capital than those with low-level social capital. Originality/value The current literature has shown contradictory results: it is usually believed that emerging adults may conform to pressure and engage in group-oriented decisions; however, some research has reported the opposite result. To better understand this relationship, the authors aim at a group-level factor – perceived social capital – as a boundary condition. This research contributes to the young consumer decision-making literature by involving the interplay among peer pressure, perceived social capital and peer informational and normative influence.

This paper analyzes the impact of technology innovation on capacity utilization of enterprises located in the Yangtze River Economic Belt through logic reasoning and empirical modeling. Our analysis shows that the mechanism of how technology innovation affects capacity utilization is that the former promotes the latter through meeting market demand, improving production and management efficiency, and optimizing industrial structures. Our empirical results indicate that the influence of technology innovation on the capacity utilization of enterprises in the Yangtze River Economic Belt evidently possesses positive “U” characteristics. Compared with the upstream and downstream regions of the river, the technology innovation of enterprises in the middle reaches can break the U-shaped inflection point earlier. Compared with light industrial enterprises, heavy industrial enterprises can also break the U-shaped inflection point earlier. Compared with non-overcapacity enterprises, those with overcapacity can break the U-shaped inflection point earlier. The technology innovation of non-state-owned enterprises has obvious positive “U” characteristics in the impact of capacity utilization, while the technology innovation of state-owned enterprises has no significant impact on capacity utilization.

This study examines how the low-carbon pilot city policy (LCPCP) affects energy efficiency from the angles of green technology innovation and upgrading industrial structure by using panel data collected from Chinese cities between 2007 and 2019. The research results include: (1) Based on the time-varying difference-in-differences method, LCPCP has significantly improved energy efficiency, while such results remain significant after replacing the method of measuring the dependent variable and testing with the placebo test and the method of PSM-DID. (2) The heterogeneity analysis shows that compared to resource-based cities (RBC), LCPCP has a greater impact in non-resource-based cities (NRBC). Compared to the Central regions (CR) and Western regions (WR), LCPCP has a stronger impact in the Eastern region (ER). (3) A mechanism inspection shows that LCPCP can promote energy efficiency through both upgrading industrial structure and green technology innovation. LCPCP is of great importance for improving energy efficiency.

PurposeThe purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems.Design/methodology/approachAfter presenting the concepts of grey systems and grey numbers, this paper surveys existing approaches for solving grey linear programming problems and applications. Also, methods and approaches for solving grey linear programming are classified, and its advantages and disadvantages are expressed.FindingsThe progress of grey programming has been expressed from past to present. The main methods for solving the grey linear programming problem can be categorized as Best-Worst model, Confidence degree, Whitening parameters, Prediction model, Positioned solution, Genetic algorithm, Covered solution, Multi-objective, Simplex and dual theory methods. This survey investigates the developments of various solving grey programming methods and its applications.Originality/valueDifferent methods for solving grey linear programming problems are presented, where each of them has disadvantages and advantages in providing results of grey linear programming problems. This study attempted to review papers published during 35 years (1985–2020) about grey linear programming solving and applications. The review also helps clarify the important advantages, disadvantages and distinctions between different approaches and algorithms such as weakness of solving linear programming with grey numbers in constraints, inappropriate results with the lower bound is greater than upper bound, out of feasible region solutions and so on.

The aim of the study is to examine three countries in the Americas with different economic and climatic conditions—Canada, Brazil and the United States. It focuses on the strategic decisions that countries make in the field of agricultural land use and export policies in response to climate change. The research uses a dynamic game theory model that takes into account changes in cropland, export potential and costs arising from environmental and geopolitical risks. Cluster analysis also helped to interpret the results. Based on this, three main strategic patterns can be identified: protective (self-protective), cooperative (cooperative) and non-cooperative (expansive) behavior. Based on the results, cooperation is rare and unstable, and a defensive, protective strategy dominates. Of the three countries, Canada’s situation is the most sustainable, while Brazil is in a losing position in the long run. The study highlights that the consequences of climate change are not only differentiated at the natural but also at the strategic level, and that a thoughtful international redesign of incentives is essential to foster cooperation.

Air pollution has caused huge losses of life and property. So, how to choose a practically effective scheme to m.itigate air pollution is of great significance. However, such a selection problem of treatment schemes represents really a group negotiation process of many decision makers (DMs), involving a variety of fuzzy information and preferences. To successfully address this selection problem, this paper proposes a novel group negotiation decision model by jointly employing various approaches, such as hesitant fuzzy set, grey target, grey incidence analysis, and graph model for conflict resolution (GMCR). Then, this model is used to determine the equilibrium schemes for treating air pollution. It is expected that this work provides a method for Chinese government to introduce programs to target air pollution control.

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.