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With a start in the observation that there is a large variation in how companies interact with each other, the paper aims to anlayse the economic consequences of this variation. As the more extensive interaction is costly, the variation also indicates a variation in the economic dimension.

This is a conceptual paper.

Three different economic streams can be identified. Firstly, the interaction costs can be reduced by taking advantage of time and scope. Interaction over time give opportunity to use some of the costs as investments through creation of relationships. By using the same counterpart for several products, scope can be used to reduce interaction costs. Secondly, developed business relationships can be used to create relation revenues. The counterparts can use each other for developing better solutions and for development of knowledge. Finally, the actors can also get positive network effects. One example is the joint development with third parties such as sub-suppliers or customer’s customer.

The discussion ends in two major implications. One is the central role of managers and the other the crucial role of economic deals. Managers are crucial both to identify relevant cost and revenue items as well as to exploit them. Deals are important as it is only with direct counterparts where there are monetary streams. In all other relationships, there is only indirect consequences.

It is obvious that the type of cost and revenue streams identified above will require new and different economic tools. A base for this is given here.

Many studies have examined the antecedents of firms' strategic change on a micro and meso level, but few studies have explored it from the macrolevel (e.g. economic policy uncertainty) perspective. This research draws attention to the impact of economic policy uncertainty on firms' strategic change.

This research empirically tests hypotheses based on a sample of listed firms in China during the period between 2010 and 2017.

Based on real options theory, the authors theorize and find that economic policy uncertainty will negatively affect firms' strategic change through the mediating effect of CEO turnover. Moreover, organizational inertia will strengthen the negative impact of economic policy uncertainty on CEO turnover and will weaken the positive impact of CEO turnover on firms' strategic change.

First, this research contributes to the strategic change literature by demonstrating the important impact of economic policy uncertainty on firms' strategic change. Second, this research expands the literature on the economic consequences of economic policy uncertainty. Third, this research clarifies the path and boundary conditions of economic policy uncertainty affecting strategic change by introducing the mediating effects of CEO turnover and the moderating effects of organizational inertia.

Economists usually shy away from talking about power. They assume an economy comprised of many small and medium-sized firms, each competing for consumer dollars. This circumvents the problem of economic power. John Kenneth Galbraith, however, refused to ignore power. It stood at the center of his economics, and he saw it as a key reason the US economy thrived in the years following World War II (WWII). This chapter examines Galbraith’s changing views regarding economic power. American Capitalism explains how countervailing power, or power on the other side of the market, solves the problem of economic power. In The New Industrial State, scientists and educated managers within the firm (the technostructure) mitigate the negative consequences of economic power wielded by large firms. The Affluent Society and Economics and the Public Purpose look to the government as the main check on corporate power. It does this through labor legislation or programs such as the New Deal and Fair Deal. This chapter then evaluates the different solutions Galbraith proffered to the problem of economic power. It contends that Galbraith got three things right when analyzing economic power. First, we no longer live in a world of scarcity due to oligopolistic firms. Second, capitalism was different in the post-WWII era because the US economy thrived and gains were shared widely. Third, Galbraith understood that power was unequally distributed – both between the public and private sectors and within the private sector itself. On the other hand, Galbraith was overly optimistic in believing the market economy or the public sector could counter corporate power.

This paper aims to analyze what Samarco and Brazilian magazines speak and say about Mariana’s environmental crime. Discover their doxa in this subject. Interpret the speakings, sayings and doxas through the theories of the treadmills of production, crime and law.

It is a qualitative and documental research and a narrative analysis. Regarding the documents: 45 were from public authorities, 14 from Samarco Mineração S.A. and 73 from Brazilian magazines. Theoretically, the authors resorted to Bourdieusian sociology (speaking, saying and doxa) and the treadmills of production, crime and law theories.

Samarco: speaking – mission statements; saying – detailed information and economic and financial concerns; doxa – assistance discourse. Brazilian magazines: speaking – external agents; saying – agreements; doxa – attribution, aggravations, historical facts, impacts and protests.

The absence of discussions that addressed this fatality, with its respective consequences, from an agenda that exposed and denounced how it exacerbated race, class and gender inequalities.

Regarding Mariana’s environmental crime: Samarco Mineração S.A. speaks and says through the treadmill of production theory and supports its doxa through the treadmill of crime theory, and Brazilian magazines speak and say through the treadmill of law theory and support their doxa through the treadmill of crime theory.

To provoke reflections on the relationship between the mining companies and the communities where they settle to develop their productive activities.

Concerning environmental crime in perspective, submit it to a theoretical interpretation based on sociological references, approach it in a debate linked to environmental criminology, and describe it through narratives exposed by the guilty company and by Brazilian magazines with high circulation.

The first objective of this article is to analyse the reasons to pursue inclusive growth, that is economic growth accompanied by a reduction of social inequalities in different dimensions. The second objective of the article is to develop a systematised framework to understand the different channels and enablers by which heritage can contribute to inclusive growth through a review of specialised literature.

The methodology of this article is based on an exhaustive review of existing literature around models of economic development and their ability to decrease social inequalities. It critically reviews theoretical and empirical studies on existing economic approaches and links them with the heritage policy field.

The article finds that countries should pursue inclusive development since it is a fundamental condition for social cohesion, trust and society's overall well-being and because it enables economic growth to be sustainable through time. It also identifies four channels through which heritage can contribute to inclusive development: in its public good dimension, in its capacity to equalise opportunities, in its ability to reduce social, educational and health disparities and in its capacity to decrease spatial income inequalities through regeneration processes.

The framework, that is developed to categorise the different channels and enablers through which heritage could contribute to inclusive growth, is not empirically tested. Further research could approach this by estimating a difference in difference model. However, data limitations could limit this objective in the short-term.

Its originality relies in the development of a conceptual framework that is aimed at shaping heritage policies that target, at the same time, the reduction of inequalities and economic growth.

This conceptual paper aims to provide a further understanding of the impact of economic policy uncertainty (EPU), news framing and information overload on panic buying behavior during the COVID-19 pandemic.

Drawing on earlier research and news releases about the COVID-19 outbreak, this paper advances testable propositions based on the protection motivation theory and information processing theory.

This paper infers that the major shift in consumer decision-making towards panic buying is a result of high EPU. International reports have contributed to deepening this uncertainty, and the consequences of this EPU are expected to affect the economic recovery through 2022. Furthermore, the adoption of particular frames of the pandemic has played a key role in the dissemination of misinformation and fake news during the public health crisis and affected purchasing decisions. The study also infers that the perceived threat among consumers is driven by information overload as a source of mistrust towards economic and health information sources.

This paper addresses two theoretical gaps associated with consumer buying behaviour. First, it highlights the impact of EPU, as a macroeconomic indicator, on consumer buying behaviour. Second, this paper is an attempt to integrate theories from different disciplines to foster an adequate understanding of buying behavior during the COVID-19 outbreak period.

Climate change and its imminent threat to human survival adversely impact the agriculture sector. In an impoverished country like The Gambia, economic costs of climate change are colossal. This study aims to establish a computable general equilibrium (CGE) model for The Gambia’s agriculture sector to examine the effects of climate change on crops, livestock and sea-level rise.

This study used a CGE model with other climate change impact models to compute the impacts of climate change on The Gambia’s agriculture sector. The social accounting matrix calibrates the results from the various models, thereby generating the baseline results which exemplify a “steady-state” and policy shock results illustrating the medium- and long-term effects of climate change on the country’s agriculture sector.

The baseline results indicate the status quo showing the neglect of the agriculture sector due to limited investment in the sector. Hence, the sector is the “hardest hit” sector as a result of climate change. When the model factored in climate change in the medium term (2055) and long term (2085), the macroeconomic indicators of gross domestic product, national savings, wages, disposable income and consumer price index deteriorated, elucidating the vulnerability of the economy to climate change. The consumption of groundnuts, cattle and fish will decline by 5%, 5% and 4%, respectively, in the long term. However, the production of all agricultural commodities will decline by an average of 35% for the same period. The results for international trade show that exportation would decline while importation will increase over time. The general price level for agricultural commodities would increase by 3% in 2055 and 5% in 2085. Generally, the results manifest the severity of climate change in the agriculture sector which will have a multiplier effect on the economy. The impact of climate change would result in agriculture and economic decline causing hunger, poverty and human misery.

The caveat of this study revealed the nuances not captured by previous Gambian climate change studies, thus the novelty of the study.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

The conflict in Russian Ukraine is a problem for the world economy because it hinders growth and drives up inflation when it is already high. The trade route between India and Russia is also impacted by the Russia-Ukraine crisis. This study aims to compile the most recent data on how the present global economic crisis is affecting it, with particular emphasis on the Indian economy.

This research develops a mathematical forecasting model to evaluate how the Russia-Ukraine crisis would affect the Indian economy when perturbations are applied to the major transport sectors. Input-output modeling (I-O model) and interval programing (IP) are the two precise methods used in the model. The inoperability I-O model developed by Wassily Leontief examines how disruption in one sector of the economy spreads to the other. To capture data uncertainties, IP has been added to IIM.

This study uses the forecasted inoperability value to analyze how the sectors are interconnected. Economic loss is used to determine the lowest and highest priority sectors due to the Russia-Ukraine crisis on the Indian economy. Furthermore, this study provides a decision-support conclusion for studying the sectors under various scenarios.

In future studies, other sectors could be added to study the Russian-Ukrainian crises’ effects on the Indian economy. Perturbation is only applied to transport sectors and could be applied to other sectors for studying the effects of the crisis. The availability of incomplete data is a significant concern in this study.

Russia-Ukraine conflict is a significant blow to the global economy and affects the global transportation network. This study discusses the application of the IIM-IP model to the Russia-Ukraine conflict. It also forecasts the values to examine how the crisis affected the Indian economy. This study uses a variety of scenarios to create a decision-support conclusion table that aids decision-makers in analyzing the Indian economy’s lowest and most affected sectors as a result of the crisis.