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As an important measure to promote sustainable development, green finance has developed rapidly in recent years. In order to comprehensively analyze the positive and negative indicators of the influencing factors of green finance, this paper puts forward a grey relational method of spatial-temporal panel data from the perspective of the development trend of the object dimension indicators and the performance difference between the time dimension indicators.

From the different perspectives of object dimension and time dimension, the positive and negative indicators are standardized differently considering the reverse of indicators and characterizing factors. The grey absolute relational degree is used to define the matrix sequence. This method reflects the development trend of objects in time and the difference characteristics among objects, which comprehensively represents the correlation between the reference panel and the comparison panel.

The results show that: (1) The object dimension reflects the internal driving force of the development of green finance in each provincial administrative region and the time dimension reflects the relationship between regional differences of influencing factors and green finance. (2) From the object dimension, the influencing factors of green finance from high to low are economic development potential, economic development level, air temperature, policy support, green innovation and air quality. (3) From the time dimension, the influencing factors of green finance from high to low are green innovation, air quality, economic development potential, economic development level, policy support and air temperature.

The different standardized processing methods of positive and negative indicators proposed in this paper not only eliminate the sample dimension, but also study the grey relational degree among the indicator panels from different reference dimensions. The proposed model is applied to identify the influencing factors of green finance, which expands the practical application scope of the grey relational model. The research results can provide reference for relevant departments to better promote the development of green finance.

The sensitivity and fragility of the construction industry’s economic system make the economic resilience of the construction industry (ERCI) a key concern for stakeholders and decision-makers. This study aims to measure the ERCI, identify the heterogeneity and spatial differences in ERCI, and provide scientific guidance and improvement paths for the industry. It provides a foundation for the implementation of resilience policies in the construction industry of developing countries in the future.

The comprehensive index method, Theil index method, standard deviation ellipse method and geographic detector model are used to investigate the spatial differences, spatiotemporal evolution characteristics and the influencing factors of the ERCI from 2005 to 2020 in China.

The ERCI was “high in the east and low in the west”, and Jiangsu has the highest value with 0.64. The Theil index of ERCI shows a wave downward pattern, with significant spatial heterogeneity. The overall difference in ERCI is mainly caused by regional differences, with the contribution rates being higher by more than 70%. Besides, the difference between different regions is increasing. The ERCI was centered in Henan Province, showing a clustering trend in the “northeast-southwest” direction, with weakened spatial polarization and a shrinking distribution range. The market size, input level of construction industry factors, industrial scale and economic scale are the main factors influencing economic resilience. The interaction between each influencing factor exhibits an enhanced relationship, including non-linear enhancement and dual-factor enhancement, with no weakening or independent relationship.

Exploring the spatial differences and driving factors of the ERCI in China, which can provide crucial insights and references for stakeholders, authorities and decision-makers in similar construction economic growth leading to the economic growth of the national economy context areas and countries.

The construction industry development is the main engine for the national economy growth of most developing countries. This study establishes a comprehensive evaluation index on the resilience measurement and analyzes the spatial effects, regional heterogeneity and driving factors on ERCI in the largest developing country from a dynamic perspective. Moreover, it explores the multi-factor interaction mechanism in the formation process of ERCI, provides a theoretical basis and empirical support for promoting the healthy development of the construction industry economy and optimizes ways to enhance and improve the level of ERCI.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

The purpose of the work consists in studying social integration as a factor of economic growth. The authors focus on experience and perspectives of developing countries, as they show the highest rate of economic growth and have high potential of its acceleration.

The authors determine the interconnection between the processes of social integration in the four distinguished manifestations with the help of regression analysis and determine the level of homogeneity of data selections for each studied indicator with the help of variation analysis. Scenario analysis of future perspectives of the change of economic growth depending on the influence of the factor of social integration in the unity of its distinguished types is performed. Monte Carlo method is used for forecasting of change of the values of indicators of social integration.

It is substantiated that social integration is an important factor of economic growth. At the same time, the influence of this factor on economic growth of developing countries is ambiguous. Due to the offered proprietary classification of social integration according to the criterion of involved subjects, it is possible to establish that such types of social integration as integration of social groups, integration of business and society and integration of state and society have a positive influence. However, individual's integration into society has a negative influence.

The research contributes to development of economics by substantiating the significance of the social integration factor for economic growth and specifies the logic of management of this factor, which should be flexible. The perspectives of developing countries in acceleration of the rate of economic growth based on managing the factor of social integration are rather wide and envisage the increase of society's inclusion and the level of consumer consciousness and more active involvement of population into state management in the digital economy.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of the paper is to model and develop recommendations for regulating the development of social market economy under the influence of noneconomic factors.

The authors determine the existing examples of social market economies, in which quality of life clearly correlates with economic growth – and the research objects are thus determined. Then, the list of noneconomic factors, which could be quantitatively characterized based on the official statistics, is formed. The econometric model of dependence of the rate of economic growth of the selected noneconomic factors is created, and it is determined at which combination of these factors' influence it is possible to reach the target rate of economic growth of social market economy. Data are processed automatically by compiling the descriptive statistics and conducting regression analysis within the method of imitation modeling and multiparametric nonlinear optimization.

It is shown that, unlike the classical market economy (pure capitalism), in which economic factors dominate, social market economy (mixture of capitalism and socialism) is also influenced by noneconomic factors. This changes the view on economic growth as one of the most significant processes in the economic practice and one of the key research objects in economics. It is substantiated that there's a necessity not for micro- (as in the classical market economy) but for macroeconomic view on economic growth through the prism of factors that are external to entrepreneurship.

The results of imitation modeling allowed reducing the uncertainty and reflecting the specifics of economic growth of social market economy. The compiled model of multiple linear regression allowed narrowing down the circle and outlining four main noneconomic factors of economic growth of social market economy. The authors' recommendations for regulation of these factors are offered, and a mechanism of regulation of development of social market economy based on noneconomic factors management is offered.

Recognizing economic literacy as a vital form of intellectual capital provides essential tools to mitigate the adverse impact of risk factors on business organizations' performance. This recognition serves as a strong rationale for prioritizing economic literacy as a strategic asset in navigating the complexities of risk factors for sustained organizational performance. To bridge this gap, this study examines the role of risk factors in the economic literacy of an organization and how they affect organizational performance.

This exploratory study employed a qualitative research method, utilizing a systematic review with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to identify gaps. A comprehensive search across databases was conducted using keywords related to risks, economic literacy and organizational performance. In total, 32 articles were meticulously analyzed, focusing on methodology, results and discussion sections to address research questions.

This study highlights the impact of risk factors on economic literacy and organizational performance, focusing on risk-taking, attitude, enterprise risk management (ERM), financial literacy and organizational performance. It reveals that possessing economic literacy can mitigate financial risks in corporations by helping entrepreneurs identify business opportunities and pitfalls, enabling informed and prudent financial decision-making. Conflicting findings challenge existing knowledge on the link between risk factors and financial literacy, particularly in new product development decisions, highlighting the need for further investigation into environmental factors shaping this connection.

The study developed a conceptual model that explains the interaction among economic literacy, risk factor and organization performance, which has implications for the development of the required intellectual capital to mitigate the impact of risk factors. Also, the study identified diverse conceptual, methodological and geographical gaps that will provide direction for future studies. Future research could delve into firm-level or cross-country data via surveys, interviews or focus groups, enriching the research's robustness and depth for nuanced insights into the investigated relationships.

Purpose – The main purpose is to provide ideas about an intellectual framework for considering the role of “economic factors” in conflict and to suggest some potentially useful future areas of research. I selectively reference some relevant findings from the other chapters in this volume.

Methodology/approach – This chapter is speculative, but raises important issues. It might seem that economic factors should be considered “hard” constraints on the dynamics of large-scale conflict and peace, whereas political factors are “soft.” I propose the opposite. I argue that we should consider political factors as causally primary and economic factors as contingent on them. I present statistical analyses that call into question some recent research on the apparent primacy of economic factors in international conflict.

Findings – These models challenge a strong belief in the primacy of a “capitalist peace” or “economic peace” over political factors such as democracy. But my purpose here is no more than to suggest that this is a promising area for further inquiry. Economic factors are of course hugely important, but they are filtered through norms and institutions, which are political creations. If the basic logic of my thinking holds, similar results would be obtained for studies of civil conflict initiation and escalation.

Originality/value of paper – This chapter raises the issue of the appropriate place of economic and political factors in understanding organized conflict at various levels of analysis. It suggests how the chapters in this volume help advance thinking about the relationship between economic factors and conflict in this context and provides some novel empirical results to suggest the plausibility of the argument that economic factors may be less theoretically fundamental than political ones.