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The purpose of this paper is to present a conceptual framework that provides insights into major environmental and organizational forces underlying greater levels of organizational responsiveness to the environmental sustainability imperative by a growing number of firms, worldwide.

The paper is conceptual in its focus, and the proposed framework builds on extant literature from multiple literature streams.

Societal progress toward environmental sustainability is a shared responsibility of consumers, corporations, and the government at various levels. A potential avenue for societal progress toward environmental sustainability is fostering a macroenvironment that is conducive to the elimination of consumption certain products, reduction in consumption certain other products, and redirection of consumption of still other products from ecologically more harmful to ecologically less harmful substitute products (and relatedly, demand elimination, demand reduction, and demand redirection).

An implication for corporate sustainability responsibility is that firms while planning and formulating strategies for increasing their market footprint must also concurrently plan and formulate strategies for decreasing their environmental footprint. An implication for government sustainability responsibility is that even under conditions of high levels of commitment by a large and growing number of firms and consumers to engage in environmentally sustainable behaviors, in the absence of supporting infrastructure for engaging in such behavior, they may find it necessary to engage in environmentally unsustainable behaviors.

Issues relating to environmental sustainability have been the focus of a large body of recent research in a number of academic disciplines including marketing. A cursory examination of numerous articles published in scholarly journals on issues pertaining to environmental sustainability, and in the business press pertaining to the myriad environmental sustainability initiatives of firms worldwide is indicative of its growing importance.

This chapter challenges the denial of “underconsumption” – the role of consumption demand in capitalist reproduction and its paucity in crises – in contemporary Marxism. At stake are better understandings not only of crisis theory but also, inter alia, of imperialism, “reformism,” and Marx's intellectual legacy. The chapter shows how the centrality of consumption demand is underlined in the three volumes of Capital and the Grundrisse, and goes on to discuss the origins, weaknesses, and persistence of this denial. The chapter also shows that Marx did not regard underconsumption as a moralistic argument about unfulfilled need. The denial originates not in Marx but in productionism, the idea that capitalism is a system of “production for production's sake.”

Originating in the overkill of Tugan Baranowski's refutation of the Russian populists’ view that capitalist development was impossible in Russia due to lack of a home market, productionism is based on his attempt to force Marxism into the marginalist and the general equilibrium framework. Despite its antipathy with Marxism, most contemporary Marxist economics are based on it. Inevitably its adherence to Say's Law – the denial of the possibility of gluts in the market – infects the tendency to assume that capitalism's contradictions do not lie in circulation. Productionism's denial of the importance of consumption demand also rests on nonsequiturs, nondialectical thinking, and an underestimation of the contradictions in capitalism Marx identified, other than the tendency of the rate of profit to fall. The chapter ends by showing the centrality of demand in the recent historical evolution of capitalism as reconstructed by Robert Brenner, followed by a discussion of whether underconsumption is “reformist.”

Employing big data analysis tools, this study examines the significance of supply chain integration affecting online financial consumption, analyzes the online financial consumption demand of mobile phone consumers, promotes the optimization of supply chain services with consumers as the focus and proposes full integration of a mobile phone supply chain in terms of product, logistics and marketing, in order to improve the supply and demand relationship between consumers and suppliers; the overall objective is to promote further development of online financial consumption.

In this study, TF-IDF (term frequency–inverse document frequency) and cosine similarity text analysis are used for analyzing online demand for mobile phone products, studying the influence of supply chain services on consumption demand and identifying strategies for promoting overall optimization of the supply chain to meet online financial consumption demands of consumers; the study analyzes online reviews on mobile phone topics from the JingDong (JD) platform and Weibo platform.

Research results show that online demand for mobile phone products is greatly influenced by supply chain links such as product design, logistics transportation and marketing promotion. The consumption demand for different mobile phone products has different emphases, but the differences are not significant. The overall improvement of the supply chain should focus on product research and development, logistics layout optimization and marketing promotion, in order to meet and guide the online financial demand of consumers and improve the effectiveness of supply chain management.

This study only considered data from China's largest online mobile phone sales platform and Weibo text data owing to the data sensitivity involved.

There are few supply chain optimization studies based on online financial consumption reviews from customers. Therefore, this study integrates online consumption trends into a supply chain analysis framework to explore strategies for promoting supply chain optimization according to customer demands, improving the benign interaction of participants in the supply chain and promoting the development of online financial consumption.

The purpose of this paper is to investigate the impact of temperature on residential electricity demand in the city of Greater Accra, Ghana. It is believed that the increasing trend of temperatures may significantly affect people’s lives and demand for electricity from the national grid. Given the recurrent electricity crisis in Ghana, this study will investigate both the current and future residential energy demands in the light of temperature fluctuations. This will inform future power generation using renewable energy resources mix to find a sustainable solution to the recurrent energy demand challenges in Ghana. This study will help the Government of Ghana to better understand the temperature dependence of residential energy demand, which in turn will help in developing behavioral modification programs aimed at reducing energy consumption. Monthly data for the temperature and residential electricity consumption for Greater Accra Region from January 2007 to December 2018 obtained from the Ghana Meteorological Service (GMS) and Ghana Grid Company (Gridco), respectively, are used for the analysis.

This study used monthly time series data from 2007 to 2018. Data on monthly electricity demand and temperature are obtained from the Ghana Grid Company and GMS. The theoretical framework for residential electricity consumption, the log-linear demand equation and time series regression approaches was used for this study. To demonstrate certain desirable properties and to produce good estimators in this study, an analysis technique of ordinary least squares measurement was also applied.

This study showed an impact on residential electricity requirements in the selected regions of Greater Accra owing to temperature change. The analysis suggests a substantial positive response to an increase in temperature demand for residential electricity and thus indicates a growth of the region’s demand for electricity in the future because of temperature changes. As this analysis projects, the growth in the electricity demand seems too small for concern, perhaps because of the incoherence of the mechanisms used to regulate the temperature by the residents. However, two points should be considered when drawing any conclusions even in the case of Greater Accra alone. First, the growth in the demand for electricity shown in the present study is the growth of demand due only to increasing temperatures that do not consider changes in all the other factors driving the growth of demand. The electricity demand will in the future increase beyond what is induced by temperature, due to increasing demand, population and mechanization and other socioeconomic factors. Second, power consumption understated genuine electricity demand, owing to the massive shedding of loads (Dumsor) which occurred in Ghana from 2012 to 2015 in the analysis period that also applies in the Greater Accra region. Given both of these factors, the growth in demand for electricity is set to increase in response to climate change, which draws on the authorities to prepare more critically on capacity building which loads balancing. The results also revealed that monthly total residential electricity consumption, particularly the monthly peak electricity consumption in the city of Accra is highly sensitive to temperature. Therefore, the rise in temperature under different climate change scenarios would have a high impact on residential electricity consumption. This study reveals that the monthly total residential electricity demand in Greater Accra will increase by up to 3.1%.

The research data was largely restricted to only one region in Ghana because of the inconsistencies in the data from the other regions. The only climate variable use was temperature because it was proven in the literature that it was the most dominant variable that affects electricity demand, so it was not out of place to use only this variable. The research, however, can be extended to capture the entire regions of the country if sponsorship and accurate data can be obtained.

The government as the policy and law-making authority has to play the most influential role to ensure adaptation at all levels toward the impact of climate change for residential consumers. It is the main responsibility of the government to arrange enough supports to help residential consumers adapt to climate change and try to make consumers self-sufficient by modification of certain behaviors rather than supply dependent. Government bodies need to carefully define their climate adaptation supports and incentive programs to influence residential-level consumption practices and demand management. Here, energy policies and investments need to be more strategic. The most critical problem is to identify the appropriate adaptation policies that favor the most vulnerable sectors such as the residential sector.

To evaluate both mitigation and adaptation policies, it is important to estimate the effect of climate change on energy usage around the world. Existing empirical figures, however, are concentrated in Western nations, especially the USA. To predict how electricity usage will shift in the city of Greater Accra, Ghana, the authors used regular household electricity consumption data.

The motivation for this paper and in particular the empirical analysis for Ghana is originality for the literature. This paper demonstrates an adequate understanding of the relevant literature in modern times.

Freshwater availability is reducing globally, due to increasing demand with population growth and climate change and is disproportionately impacting developing countries. This study aims to investigate the dynamics of water access and consumption across all regions of Thailand with various characteristics and water systems. Understanding the relationship between institutional, economic and climate variables in Thailand’s water management is important for water scarcity planning. Our paper fills a gap in the literature by examining the determinants of water consumption and exploring potential water management policies.

The authors empirically analyze the determinants of water consumption in Thailand, including institutional, economic and climate variables. The authors use data sets from both metropolitan and provincial waterworks authorities (PWA), as well as economic and meteorological macro-level data. The authors also adopt an auto-regressive distributed lag (ARDL) model and a Johansen cointegration test to estimate short- and long-run effects of the variables on water consumption.

The authors confirm a negative relationship between water pricing and consumption and verify a positive relationship between economic growth and water consumption across most regions of Thailand. Furthermore, the authors reveal a clear relationship between climate factors and water consumption and an inverse relationship between income and water consumption in metropolitan area. Findings indicate that authorities, especially PWA, should examine high water use in agriculture and develop regulations to ensure equitable water distribution to sustain economic growth. The authors recommend that water prices are increased within specific income thresholds to prevent impacting low-income families and to secure higher public revenue. In pursuit of environmental sustainability, the authors also recommend increasing public awareness of freshwater scarcity through education programs and investment in water-saving technologies. Differences among regions should be considered when developing water management strategies, which could be monitored through the respective water boards.

This study provides deep insight into the key factors that drive both water prices and water consumption in poor and rich areas. The unique nature of the research indicated that the paper will be of interest to policymakers and the academic community. The findings are relevant for water consumption management in Thailand and other developing countries with similar characteristics.

The main objective of this paper is to analyze patterns of consumption expenditure and the effects of income, prices and socioeconomic and demographic factors on demand among elderly- and young-adult-headed households in Brazil.

The authors estimated a Quadratic Almost Ideal Demand System demand system using the main household consumption good groups – food, housing, clothing, transportation, health care and other expenses – with data from three Brazilian Household Budget surveys.

The study results showed that elderly- and young-adult-headed households have different consumption patterns. The consumption of food, transportation and health care was more price-sensitive for households headed by the elderly, while higher income increases health care expenses in elderly-headed households to a greater extent than it does in younger-headed households.

The limitations are due to the structure of the data used, such as the effects of seasonality and individualized demand analyses, and sample design in the estimates. However, due to the structure of the demand models, which when estimating by seemingly unrelated regressions do not allow to take into account the sample design.

As a consequence of population aging, the Brazilian economy will experience changes in the composition of household consumption, mainly for food, housing, transportation and health-care-related products.

This paper fulfills the lack of studies that analyze the consumption patterns and how demand varies across different types of elderly-headed households in a developing country, such as Brazil.

The purpose of this paper is to understand the consumption and demand of Chinese citizens for public digital culture, and make suggestions for government-supported public digital culture providers.

Through a questionnaire survey, this study investigates the provision of public digital cultural services (PDCS) from the perspective of consumption and demands.

The results indicate: the Chinese populace as a whole had low expenses on digital cultural services, and had not effectively utilized them to support their own development; significant disparities exist between demographics, particularly between urban and rural residents; the populace were strongly interested in participation in public digital culture, but the services had low actual utilization rates; and the services had been unable to meet the users’ quality-related demands.

The first study to approach the provision of PDCS from the side of consumption and user demand.

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.

The purpose of this study was to examine the relationship between general market demands and consumption levels of professional sport consumers. This study was accomplished through: (a) validating the theoretical constructs of general market demand variables by conducting a confirmatory factor analysis, (b) examining the predictability of general market demand factors to consumption levels of live and televised sporting events, and (c) investigating the relationships between sociodemographic and general market demand factors. Five hundred and twenty-five residents of a major southern US city were interviewed using a questionnaire that included eight sociodemographic variables, 12 market demand variables under three factors (Game Attractiveness, Economic Consideration, and Marketing Promotion), and 10 professional sporting event consumption variables. The factor structure of the general market demand variables was confirmed. Regression analyses revealed that market demand factors were positively (p < .05) predictive of professional sport consumption. Sociodemographic variables were significantly (p < .05) related to the market demand factors. The findings imply that professional sport teams should highlight the market demand variables and adopt differential marketing procedures for various sociodemographic segments in their marketing practice.

By disentangling the impact of positive and negative shocks of GDP, FDI and oil consumption on electricity consumption, the purpose of this paper is to investigate whether this bifurcation significantly determines the level of electricity consumption in the short run and long run.

Using the recently developed nonlinear autoregressive distributed lag (NARDL) bounds approach, the study investigates the changes in the level of electricity consumption over a period of 1980–2015. The inclusion of a dummy variable for the possible structural break makes the electricity demand function more reliable. After checking the stationarity of data series, the study has employed the bounds test, which confirms the existence of the long run stability in the system. Further, using the VECM, the causality among the comprised variables has also been examined.

The findings confirm that not only the positive shocks but also the negative shocks in GDP have a positive and significant impact on electricity consumption in the long run. Similarly, the increased FDI has widened the scope of electricity consumption in the region, whereas the negative shocks’ impact is found negative in the long run. In comparison to GDP and FDI, the influence of the increased oil consumption on electricity demand is found negative and significant in India, which reveals that electricity acts as a significant substitute for oil consumption in the long run.

To the best of the literature evidences available, none of the studies in the past has examined electricity demand in an NARDL framework. The study may help in estimating the demand for electricity consumption comprehensively, as this approach captures the separate influence of favourable and unfavourable changes while determining the level of electricity consumption. This approach may be crucial for policy makers, especially in an energy importer country, such as India.