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Deepening supply-side structural reform is the main objective of the economic work since the Chinese economy entered a new stage of development. By adopting the fundamental principles and methodologies of Marxist political economy, the authors can provide clarifications on the three basic theoretical issues concerning the supply-side structural reform. The paper aims to discuss these issues.

First, the essential starting point for understanding the supply-side structural reform is the primacy of production, as well as the organic connection between production and consumption in social reproduction, rather than the supply and demand as superficially seen in exchanges. By identifying the right starting point, the authors can avoid alternating between demand and supply management, and between liberalism and interventionism.

Structural problems, which are closely related to the institutional structure of production and the purpose and nature of production, cannot be solely attributed to the imbalance caused by market failures. Chinese economy has suffered prolonged structural contradictions and structural problems.

To decide whether the financial and the real estate sectors are real economy or virtual economy, the key is to examine whether the monetary capital used in financial activities and real estate commodity (capital) go through the capital circulation process of from monetary capital to productive capital and further to commodity capital, and whether the capital gain is generated by the value appreciation of capital or the value transfer and distribution as a result of the transfer of ownership. With its emphasis on developing the real economy, the supply-side structural reform should foster both development of manufacturing, and parts of financial and real estate sectors that are the real economy.

This paper integrates research on demand- and supply-side risk management practices to better explain how to achieve competitive advantage in dynamic business conditions. The purpose of this study is to develop a model linking supply chain flexibility, agility, robustness and resilience and to investigate its relationships and impact on business performance.

The authors conduct a review of existing literature to derive their hypotheses and operationalize the respective constructs. The formulated research model is then validated applying partial least squares structural equation modeling on survey data from 89 multi-national companies based in Europe.

The authors find a significant positive relationship between supply chain flexibility and supply chain agility as well as supply chain robustness and supply chain resilience, respectively. Additionally, it is argued that supply chain flexibility, agility and resilience have significant positive impact on individual dimensions of business performance.

The relationships between supply chain flexibility, agility, robustness, resilience and business performance are investigated and empirically validated altogether in a single model for the first time, providing a clear separation of these terms and shedding further light on the management of supply chain risks.

Despite massive efforts of suppliers and retailers in the fast‐moving‐consumer‐goods (FMCG) channel to adopt the efficient consumer response (ECR) practices, many of the expected benefits have not been realized. This study examines the history and implementation practices of ECR in the USA and in Germany and presents conceptual models that compare the likely outcomes when ECR‐based category management practices are initiated either by the supplier or by the retailer channel partner. Combining the knowledge gained from a series of interviews with industry experts with their own ECR experiences, it is shown how a strategic competitive advantage can be realized through the combination of both supplier and retailer views and expertise in category management practices. The article concludes with an examination of barriers to implementation of category management plans and suggests ways to overcome these barriers.

The purpose of this paper is to discuss the actual state of demand chain management compared with its promises of a few years ago.

The most important literature on demand chain management of recent years is confronted with recent findings on strategies of the main supply and demand‐oriented firms in the fashion industry and on consumer behaviour.

Following Hoover et al. the demand chain is defined as “the chain of activities that communicates demand from markets to suppliers”. In this paper some interesting contributions to this debates are reviewed. Then, on the basis of remaining problems in the fashion industry in the realm of failing customer satisfaction, questions whether the promise of demand chain is not a consequence of shortcomings in the field of marketing – which apparently has moved too much into the direction of strategic positioning and information push instead of market research.

Even when some of the most interesting approaches to demand chain management and key developments in the industry are confronted with one another, these selections cannot claim to be exhaustive.

The conclusion, proposing to concentrate on efficient supply chain management, on the one hand, and better understanding consumers, on the other hand, helps fashion firms to focus their attention more clearly.

No such overview and confrontation, as presented in this article, existed until now. Also, the view that demand chain management in a way tries to fill the gaps left by market research sheds new light on these discussions.

Electricity utilization at electricity peak hour may differ from every single administration region, for example, mechanical region, business territory and residential zone. This paper introduces a demand-side load management (DSM) strategy, which is one of the utilization of smart grid (SG) that is fit for controlling loads inside the residential working so that the client fulfillment is augmented at least expense.

In this paper, a heuristic algorithms-based energy management controller is intended for a residential region in a SG. Here, Antlion Optimization technique is used for DSM techniques such as load shifting, peak clipping, and valley filling in the residential sectors for 24 h with the help of stochastic function to determine the detection of random distribution of the load.

This proposed algorithm offered the greatest fulfillment and least expense caused by the consumers when compared to the traditional cost by taking the individual consumer preferences for the loads and the ideal time scheduling for the load, which is obtained from the rebuilding trap.

Simulation results demonstrate that the comparison of the cost incurred by the users obtained by the DSM techniques is satisfiable.

Global supply chains are more risky than domestic supply chains due to numerous links interconnecting a wide network of firms. These links are prone to disruptions, bankruptcies, breakdowns, macroeconomic and political changes, and disasters leading to higher risks and making risk management difficult. The purpose of this paper is to explore the phenomenon of risk management and risk management strategies in global supply chains.

This paper is based on an extensive literature review and a qualitative study comprising 14 in‐depth interviews and a focus group meeting with senior supply chain executives.

The study provides insights into the applicability of six risk management strategies with respect to environmental conditions and the role of three moderators.

The model is developed in a global manufacturing supply chain context. It should be tested in other contexts and with other methods to provide generalizability. The study takes a much needed step toward building a theory of risk management in global supply chains, which opens important future research directions.

This research provides direction to managers for choosing risk management strategies based on the global supply chain environment. Moderators have practical implications for global supply chain managers.

The paper addresses an identified gap in the literature for selecting risk management strategies in global supply chains. It employs grounded theory, a methodology appropriate for theory‐building, to explore a phenomenon with an inadequate theoretical base.

Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

The neo-Kaleckian model follows the ideas of Marx, Keynes and Kalecki, that investment is a key influencing factor in the dynamics of the capitalist mode of production. Through the discussion of different forms of investment decision function, this paper constructs the analysis framework of wage-led and profit-led economic growth regimes.

The model has become an important theoretical paradigm for current Western heterodox economists regarding the research on the impact of functional income distribution on economic growth, and it has a very large impact on both theoretical and empirical research. Starting from Marx's reproduction theory, this article discusses the theoretical shortcomings of the neo-Kaleckian growth regime model.

This paper mainly focuses on three aspects: (1) the ideological legacy of “Smith's Dogma”; (2) neglecting the restrictions on income distribution from the organic composition of capital and the surplus value rate; (3) technological progress and the formation of a new long economic wave.

The authors believe that the neo-Kaleckian model unilaterally emphasizes the demand-side factors in the economy and, unconsciously or not, ignores the role of the supply-side, which makes it encounter certain limitations in explaining long-term growth. Even if some empirical conclusions are employed to bridge functional income distribution and technological progress, there is still a lack of a theoretical basis for accurately describing long-term economic changes using this model. In order to better promote high-quality economic development and accelerate the formation of a new pattern of economic development in which the domestic large-scale cycle is the mainstay and the domestic and international double cycles promote each other, the authors need to adopt a policy combination with the supply-side as the main and the demand-side as the supplement, and to work from both sides.

Some of the major concerns since the implementation of smart meters (prepaid meters) in some parts of Ghana is how electricity consumers have benefited from data obtained from these meters by providing important statistics on electricity-saving advice; this is one of the key demand-side management methods for achieving load reduction in residential homes. Appliance shifting techniques have proved to be an effective demand response strategy in load reduction. The purpose of this paper is therefore to help consumers of electricity understand when and how they can shift some appliances from peak to off-peak and vice versa.

The research uses an analysis technique of Richardson et al. (2010). In their survey on time-of-use surveys to determine the usage of electricity in households as far as appliance shifting was concerned, this study allowed for the assessment of how the occupants’ daily activities in households affect residential electricity consumption. Fell et al. (2014) modeled an aggregate of electricity demand using different appliances (n) in the household. The data for the peak time used in this study were identified from 05:00 to 08:00 and 17:00 to 21:00 for testing the load shifting algorithms, and the off-peak times were pecked from 10:00 to 16:00 and 23:00. This study technique used load management considering real-time scheduling for peak levels in the selected homes. The household devices are modeled in terms of controlled parameters. Using this study’s time-triggered loads on refrigerators and air conditioning systems, the findings suggested that peak loads can be reduced to 45% as a means of maintaining the simultaneous quality of service. To minimize peak loads to around 35% or more, Chaiwongsa and Wongwises (2020) have indicated that room air conditioning and refrigerator loads are simpler to move compared to other household appliances such as cooking appliances. Yet in conclusion, this study made a strong case that a decrease in household peak demand for electricity is primarily contingent on improvements in human behavior.

This study has shown that appliance load shifting is a very good way of reducing electrical consumption in residential homes. The comparative performance shows a moderate reduction of 1% in load as was found in the work done by Laicaine (2014). The results, however, indicate that load shifting to a large extent can be achieved by consumer behavioral change. The main response to this study is to advise policymakers in Ghana to develop the appropriate demand response and consumer education towards the general reduction in electrical load in domestic households. The difficulty, however, is how to get the attention of consumer’s on how to start using appliances with less load at peak and also shift some appliances from off-peak times. By increasing consumer knowledge and participation in demand response, it is possible to achieve more efficiency and flexibility in load reduction. The findings were benchmarked with existing comparison studies but may benefit from the potential production of structured references. However, the findings show that load shifting can only be done by modifying consumer actions.

It should be remembered that this study showed that the use of appliances shifting in residential homes results in load reduction benefits for customers, expressed as savings in electricity prices. The next step will be to build on this cost/benefit study to explain and measure how these reductions transform into net consumer gains for all Ghanaian households.

Load shifting will include load controllers in the future, which would automatically handle electricity consumption from various appliances in the home. Based on the device and user needs, the controllers can prioritize loads and appliance usage. The algorithms that underpin automatic load controllers will include knowledge about the behaviors of groups of end users. The results on the time dependency of activities may theoretically inform the algorithms of automatic demand controllers.

This paper addresses an important need for the country in the midst of finding solutions to an unending energy crisis. This paper presents demand response to the Ghanaian electricity consumer as a means to help in the reduction of load in residential homes. This is a novel research as no one has at yet carried out any research in this direction in Ghana. This paper has some new information to offer in the field of demand in household electricity consumption.

This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses.

The daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid.

The obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was −26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was −25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh).

As opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management.