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The purpose of this chapter is to develop a new perspective model of well-balanced information economy.

The methodological tools of this work are based on application of the method of comparative analysis for comparing the old and the new model of information economy, modeling of socio-economic systems, simplex-method as an algorithm for solving the optimization task of linear programming, related to improvement of the conceptual model of information economy, and the method of formalization for graphical presentation of a new model of information economy.

The developed and presented author’s perspective model of information economy envisages balancing in four main directions: infrastructural possibilities and readiness for their practical usage by society and business; state regulation and market self-management; existing and new information; and external information exchange. Despite the clarity and strictness of conceptual settings, the new model is peculiar for increased flexibility and adaptation to the peculiarities of the socio-economic practice of economic system. Thus, the new model of well-balanced information economy allows overcoming all drawbacks – logical mismatches and contradictions – of the existing (old) model of information economy.

Due to optimization of the conceptual model, its practical implementation in economic activities of modern socio-economic systems becomes possible – as a result of which, with accumulation of experience, it will be possible to assess true value of the idea of information economy’s formation for humanity and the global economic system.

This article provides a detailed investigation of how Lewis revisited classical and Marxian concepts such as productive/unproductive labor, economic surplus, subsistence wages, reserve army, and capital accumulation in his investigation of economic development. The Lewis 1954 development model is compared to other models advanced at the time by Harrod, Domar, Swan, Kaldor, Solow, von Neumann, Nurkse, Rosenstein-Rodan, Myint, and others. Lewis applied the notion of economic duality to open and closed economies.

Despite being a flexible tool that can address several macroeconomic issues, Dynamic Stochastic General Equilibrium (DSGE) models have been rarely used to analyse the interaction between monetary and fiscal policy until the post-financial crisis, leaving a gap in the analysis of how government consumption affects the transmission mechanism of monetary policy. This motivates this paper to analyse how government consumption affects the dynamics of a small open economy, once the former is included in a non-separable form to the utility function. To the best of the authors' knowledge, this issue has not been addressed by the literature, and the authors aim to do so in this paper.

A standard New Keynesian model for a small open economy is used to allow for the presence of non-separable government consumption in the utility function. The model is supported by panel regressions.

The inclusion of Government consumption dampens the transmission mechanism of monetary policy. The degree of openness dampens the crowding out effect of fiscal policy to monetary policy, as the exchange rate channel empowers it. Empirical estimates for 35 OECD countries support the theoretical findings of the model.

The effect of government consumption on the transmission mechanism of MP has not been addressed in the literature. This paper contributes to the literature by addressing this issue.

• • The inclusion of Government consumption dampens the transmission mechanism of monetary policy.

• • The degree of openness alleviates the crowding out effect of fiscal policy to monetary policy, as the exchange rate channel empowers it.

• • Empirical estimates for 35 OECD countries support the theoretical findings of the model.

• The inclusion of Government consumption dampens the transmission mechanism of monetary policy.

• The degree of openness alleviates the crowding out effect of fiscal policy to monetary policy, as the exchange rate channel empowers it.

• Empirical estimates for 35 OECD countries support the theoretical findings of the model.

The purpose of this chapter is to develop criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, determine the corresponding indicators, and offer the method of evaluation of the effectiveness of state management of the process of implementing the information economy’s optimization model.

This research applies the methods of induction, deduction, structural and functional analysis, and graphical presentation of information.

Based on the peculiarities of the information economy’s optimization model, three main criteria of the effectiveness of state management while implementing this model are distinguished: flexibility of the normative and legal provision of information economy; balance of the level and rate of development of the noosphere components; and success of the protection, usage, and preservation of information’s uniqueness. To distinguish these criteria it is offered to evaluate the effectiveness of state management of the process of implementation of the information economy’s optimization model by progressive comparison of the sum of results with the sum of limitations and costs for each direction of state management of the process of implementation of the information economy’s optimization model, related to the provision of observation of the above criteria. The author determines the indicators that conform to the offered criteria of effectiveness of state management of the process of implementation of the information economy’s optimization model systematized in connection to these criteria, and offers the formula for calculating the final indicator of the effectiveness of state management of the process of implementation of the information economy’s optimization model.

The offered criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, the corresponding indicators, and the compiled methodology of evaluating the effectiveness of this process are recommended for usage as methodological provision of monitoring and control of implementation of the information economy’s optimization model.

The purpose of this paper is to investigate the practices that start-ups in emerging economies can implement to design circular economy business models and how they can create and capture value from a circular economy business model.

The paper adopts a qualitative case method approach with semi-structured interviews with start-up founder promoters, its employees, its beneficiaries and its customers, conducted in two local Indian start-ups engaged in the manufacture of products and providing services that promote adoption of circular economy principles.

Analysis of the two business models reveals common patterns in building value proposition. The findings suggest that start-up ventures adopt an iterative approach to produce reusable and interlinked products and co-create with customers, vendors and local communities. They adopt mechanisms that can create, deliver and capture value while maintaining economic viability, and thus contribute towards micro- and macro-level benefits.

This study maximizes the depth of the phenomenon under investigation by leveraging case study methodology. Future research opportunities could be found in quantitative studies to increase the generalizability of the findings of this paper.

The paper presents a theoretical model linking the circular business model design and deployment mechanisms that can be used by start-up entrepreneurs desirous of embracing circular economy principles and thus contribute towards environmental, economic and developmental goals in emerging economies.

To accelerate the transition of adoption of circularity principles in emerging markets, start-up ventures could adopt circular business models that contribute towards achieving positive behavioural change. This can be achieved by integrating with different stakeholders in the value network such that they play a vital role in the process of value creation and delivery and benefit from the value captured.

An interdisciplinary approach that integrates the research streams of circular economy, and business model design has been pursued to identify the design and deployment mechanisms adopted in the circular business models of start-ups in real-world emerging economies’ context.

The purpose of this paper is to compare business cycle fluctuations in Ethiopia under interest rate and money growth rules.

In order to achieve this objective, the author constructs a medium-scale open economy dynamic stochastic general equilibrium (DSGE) model. The model features several nominal and real distortions including habit formation in consumption, price rigidity, deviation from purchasing power parity and imperfect capital mobility. The paper also distinguishes between liquidity-constrained and Ricardian households. The model parameters are calibrated for the Ethiopian economy based on data covering the period January 2000–April 2015.

The main result suggests that: the model economy with money growth rule is substantially less powerful or more muted for the amplification and transmission of exogenous shocks originating from government spending programs, monetary policy, technological progress and exchange rate movements. The responses of output to fiscal policy shocks are relatively stronger under autarky which appears to confirm the findings of Ilzetzki et al. (2013) who suggest bigger multipliers in self-sufficient, closed economies. With regard to positive productivity shock, however, the model with interest rate feedback rule generates a decline in output and an increase in inflation, which are at odds with conventional empirical regularities.

The major implication is that a central bank regulating some measure of monetary stocks should not expect (fear) as much expansion (contraction) in output following currency devaluation (liquidity withdrawal) as a sister central bank that relies on an interest rate feedback rule. As emphasized by Mishra et al. (2010) the necessary conditions for stronger transmission of interest-rule-based monetary policy shocks are hardly existent in emerging and developing economies targeting monetary aggregates; hence the relatively weaker responses of output and inflation in the model economy with money growth rule. Monetary policy authorities need to be cautious when using DSGE models to analyze business cycle dynamics. Quite often, DSGE models tend to mimic the proverbial “crooked house” built to every man’s advise. Whenever additional modification is made to an existing baseline model, previously established regularities break down. For instance, this paper documented negative response of output to technology shock. Such contradictions are not uncommon. For example, Furlanetto (2006) and Ramayandi (2008) have also found similarly inconsistent responses to fiscal and productivity shocks, respectively.

Using DSGE models for research and teaching purposes is not common in developing economies. To the best of the author’s knowledge, only one other Ethiopian author did apply DSGE model to study business cycle fluctuation in Ethiopia albeit under the implausible assumption of perfect capital mobility and a central bank following interest rate rule. The contribution of this paper is that it departs from these two unrealistic assumptions by allowing international risk premium as a function of the net foreign asset position of the country and by applying money growth rule which closely mimics the behavior of central banks in low-income economies such as Ethiopia.

The authors explore the hypothesis that some movements in commodity prices are anticipated (news shocks) and can trigger aggregate fluctuations in small open emerging economies. This paper aims to discuss the aforementioned objective.

The authors build a multi-sector dynamic stochastic general equilibrium model with endogenous commodity production. There are five exogenous processes: a country-specific interest rate shock that responds to commodity price fluctuations, a productivity (TFP) shock for each sector and a commodity price shock. Both TFP and commodity price shocks are composed of unanticipated and anticipated components.

The authors show that news shocks to commodity prices lead to higher output, investment and consumption, and a countercyclical movement in the trade-balance-to-output ratio. The authors also show that commodity price news shocks explain about 24% of output aggregate fluctuations in the small open economy.

Given the importance of both anticipated and unanticipated commodity price shocks, policymakers should pay attention to developments in commodity markets when designing policies to attenuate the business cycles. Future research should investigate the design of optimal fiscal and monetary policies in SOE subject to news shocks in commodity prices.

This paper contributes to the knowledge of the sources of fluctuations in emerging economies highlighting the importance of a new source: news shocks in commodity prices.

Purpose – To provide strategic management scholars, particularly graduate students and new faculty members, a novel approach, the lens model, to investigate emerging economies phenomena.

Design/methodology/approach – Based on a review of the strategic management literature and a search of the strategy databases and journals, I propose the lens model approach and discuss its origins, development, and designs since its introduction. It has been used extensively in such fields as cognitive psychology, social psychology, medicine, agriculture, human resources management, and organizational behavior. Besides the wide application, it has relevance for strategic management research.

Findings – An illustrative study and a summary of the approach from a previous study in one prominent journal are also provided as guides. I conclude by providing recommendations on what to consider in using the approach for the study of emerging economies.

Research limitations/implications – In addition to the strengths of the approach, its weaknesses are also discussed. Suggestions on maximizing the potential of the approach are also discussed.

Practical implications – The approach is an invaluable source particularly for graduate students of strategy who often are unfamiliar with microlevel approaches. They can use it to supplement approaches for strategic management.

Originality/value – To my knowledge, this chapter is the first to discuss the lens model approach in the strategic management literature. In that regard, it fills a gap in the research methodology literature. It can therefore help graduate students improve their careers.

COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.

The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.

The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.

The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.

The primary purpose of this paper is to investigate the sources of the business cycle fluctuations in Vietnam. To this end, the author develops a small open economy New Keynesian dynamic stochastic general equilibrium (SOE-NK-DSGE) model. Accordingly, this model includes various features, such as habit consumption, staggered price, price indexation, incomplete exchange-rate pass-through (ERPT), the failures of the law of one price (LOOP) and the uncovered interest rate parity. It is then estimated by using the Bayesian technique and Vietnamese data 1999Q1–2017Q1. Based on the estimated model, this paper analyzes the sources of the business cycle fluctuations in this emerging economy. Indeed, this research paper is the first attempt at developing and estimating the SOE-NK-DSGE model with the Bayesian technique for Vietnam.

A SOE-NK-DSGE model—Bayesian estimation.

This paper analyzes the sources of the business cycle fluctuations in Vietnam.

This research paper is the first attempt at developing and estimating the SOE-NK-DSGE model with the Bayesian technique for Vietnam.