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The persistent increase in household indebtedness is an alarming issue that is becoming a major concern for economists and governments in developing nations. Although household consumption is an essential source of economic growth, households’ failure to meet their financial obligations will be one of the causes of economic problems if the increase in consumption is largely financed by household borrowing. Therefore, this study aims to analyse the nexus between households’ indebtedness and consumption and the roles of household characteristics.

This study uses a microdata set of the Household Expenditure and Income Survey in 2019, which contained a simple random sampling of 4,730 households.

Using a simultaneous equations model, our results show a negative nexus between households’ consumption and their indebtedness. We find that household savings and size have an indirect impact on the debt service ratio, while the assets and total debt repayment instalments indirectly influence household consumption. We also identify differences in the relationship between the gender of the household head, rural and urban locations and income groups in consumption and indebtedness.

The implication of this study is that governments should adopt several programmes to increase the awareness of household financial and debt management, especially for those in the low-income group.

This study contributes to the empirical literature by establishing a microeconomic perspective of consumption and an indebtedness model focusing on the differences in household characteristics in explaining consumption and indebtedness.

In the Poudre School District of Northern Colorado, USA, Fort Collins High School (FCHS) and Fossil Ridge High School (FRHS) have similar square footages, mechanical systems, and architectural capacities. While FRHS (built 2005) is leadership in energy and environmental design (LEED)‐Silver and Energy Star (2009) certified, FCHS (built 1995) is not. Despite the sustainable features of FRHS, the whole‐building electric use intensities (EUIs) were comparable for the schools. The purpose of this paper is to evaluate electricity consumption and use patterns at these schools.

To investigate whole‐building EUI and identify areas of high consumption, the buildings were divided into workspaces for which workspace‐specific EUIs were calculated and compared. Further, workspace EUIs were partitioned into their heating ventilation and air conditioning (HVAC), lighting, plug load, food service and residual components for analysis.

Significantly, more electricity is used for lighting and HVAC at FCHS (44.04 and 33.16 per cent of total, respectively) compared to FRHS (36.90 and 29.17 per cent of total, respectively). However, plug load consumption accounted for 24.99 per cent of electric use at FRHS but only 16.35 per cent at FCHS. Component EUI analysis identified high‐wattage lighting at FCHS and high computer density at FRHS as areas for possible efficiency improvements.

Whole‐building EUI values are most useful for comparing energy performance of buildings dedicated to a single use. Workspace‐to‐workspace EUI comparisons offer improved energy performance indicators for facility managers. Component EUI analysis identifies specific consumptive activities which should be targeted for potential reduction in electricity use and expenditure.

Workspace and component EUIs provide for more insight than whole‐building EUI when comparing electric consumption of multi‐use facilities.

The purpose of this paper is to outline efforts at the University of Johannesburg, a large metropolitan university in Gauteng province, to examine energy efficiency within the context of the green campus movement, through the analysis of electricity consumption patterns. The study is particularly relevant in light of the cumulative 230 per cent increase in electricity costs between 2008 and 2014 in South Africa that has forced institutions of higher education to seek ways to reduce energy consumption.

A quantitative research design was adopted for the analysis of municipal electricity consumption records using a case study approach to identify trends and patterns in consumption. The largest campus of the University of Johannesburg, which is currently one of the largest residential universities in South Africa, was selected as a case study. Average diurnal consumption profiles were plotted according to phases of the academic calendar, distinguished by specific periods of active teaching and research (in-session); study breaks, examinations and administration (out-of-session); and recesses. Average profiles per phase of the academic calendar were constructed from the hourly electricity consumption and power records using ExcelTM pivot tables and charts.

It was found that the academic calendar has profound effects on energy consumption by controlling the level of activity. Diurnal maximum consumption corresponds to core working hours, peaking at an average of 2,500 kWh during “in-session” periods, 2,250 kWh during “out-of-session” periods and 2,100 kWh during recess. A high base load was evident throughout the year (between 1,300 and 1,650 kWh), mainly attributed to heating and cooling. By switching off the 350 kW chiller plant on weekdays, a 9 per cent electricity reduction could be achieved during out-of-session and recess periods. Similarly, during in-session periods, a 6 per cent reduction could be achieved.

Key strategies and recommendations are presented to stimulate energy efficiency implementation within the institution.

Coding of consumption profiles against the academic calendar has not been previously done in relation to an academic institution. The profiles were used to establish the influence of the academic calendar on electricity consumption, which along with our own observation were used to identify specific consumption reduction opportunities worth pursuing.

The purpose of this paper is to obtain the reachable domain (RD) for spacecraft with a single normal impulse while considering both time and impulse constraints.

The problem of RD is addressed in an analytical approach by analyzing for either the initial maneuver point or the impulse magnitude being arbitrary. The trajectories are considered lying in the intersection of a plane and an ellipsoid of revolution, whose family can be determined analytically. Moreover, the impulse and time constraints are considered while formulating the problem. The upper bound of impulse magnitude, “high consumption areas” and the change of semi-major axis and eccentricity are discussed.

The equations of RD with a single normal impulse are analytically obtained. The equations of three scenarios are obtained. If normal impulse is too large, the RD cannot be obtained. The change of the semi-major axis and eccentricity with large normal impulse is more obvious. For long-term missions, the change of semi-major axis and eccentricity leaded by multiple normal impulses should be considered.

The RD gives the pre-defined region (all positions accessible) for a spacecraft under a given initial orbit and a normal impulse with certain magnitude.

The RD for spacecraft with normal impulse can be used for non-coplanar orbital transfers, emergency evacuation after failure of rendezvous and docking and collision avoidance.

This paper aims to investigate how the 18‐ to 30‐age group currently interacts with wine in a variety of settings. It seeks to establish how young adults in the UK currently perceive, use, purchase and consume wine. This is the next generation of UK wine consumers.

A total of seven focus groups were held throughout England and Wales. Participants were between the ages of 18‐30 and consumed wine. A gender balance reflecting UK wine consumption patterns was maintained. One focus group was run to incorporate atypical young wine consumers.

Wine is for sharing but a bottle is too big for one person. This key result influences behaviours; younger adults may not buy wine, especially in the on‐trade, but with age this inclusivity increased consumption with partners and friends. Paradoxically, whilst the public image of wine remains as a civilised cultured beverage, it is often consumed during heavy drinking sessions in private situations. In addition, young adult consumers may not actually know how much they spend on wine, but use media to suggest suitable prices in public forums.

The sample population used was small and may not be representative quantitatively. However, the use of focus groups enabled the gathering of significant qualitative data.

The 18‐ to 30‐age cohort is smaller than the 45 to 64s, who currently consume the most wine. Understanding how this population interacts with wine, identifying potential new markets, may enable the wine and hospitality industries to react effectively to their needs.

Understanding how young adults interact with wine rather than their parents will increase understanding of changing behaviours in relation to the social usage of wine.

This paper aims to explore the relationship between environmental regulation, technological innovation and manufacturing quality competitiveness to provide some references for emission reduction activities and improvements in manufacturing quality competitiveness to achieve environmental protection targets and economic development as part of a win–win situation.

Based on the structure-behavior-performance paradigm and Grabowski’s research, a new empirical model was provided. The software, EViews 6.0, was used for econometric analysis. Regression analysis was adopted to explore the three indicators’ relationships.

First, environmental regulation can promote technological innovation effectively. Second, compared with wasted gas and wasted solids, investment in wasted water control promotes Chinese technological innovation most. Third, the impact of research and development investment, induced by environmental regulation, on manufacturing quality competitiveness is greater than that induced by non-environmental regulation. Fourth, the impact of lagged two-phase environmental regulation on manufacturing quality competitiveness is similar to that of lagged one-phase regulation.

The issue that Chinese manufacturing is facing is how to manage the trade-off between pollution control investment and improved quality competitiveness. This study enables managers to understand how to better implement environmental regulation initiatives while achieving environmental protection and quality competitiveness as part of a win–win situation.

This paper analyzes the relationships between environmental regulation, technological innovation and manufacturing quality competitiveness for the first time and provides the basic argument for integrating Chinese environmental regulation with quality competitiveness to reveal the uniqueness of the circumstances determining China’s economic development.

Describes a study to measure the quality of service provided by food‐poisoning surveillance agencies in England and Wales in terms of the requirements of a representative consumer ‐ the egg producing industry ‐ adopting “egg associated” outbreak investigation reports as the reference output. Defines and makes use of four primary performance indicators: accessibility of information; completeness of evidence supplied in food‐poisoning outbreak investigation reports as to the sources of infection in “egg‐associated” outbreaks; timeliness of information published; and utility of information and advice aimed at preventing or controlling food poisoning. Finds that quality expectations in each parameter measured are not met. Examines reasons why surveillance agencies have not delivered the quality demanded. Makes use of detailed case studies to illustrate inadequacies of current practice. Attributes failure to deliver “accessibility” to a lack of recognition on the status or nature of “consumers”, combined with a self‐maintenance motivation of the part of the surveillance agencies. Finds that failures to deliver “completeness” and “utility” may result from the same defects which give rise to the lack of “accessibility” in that, failing to recognize the consumers of a public service for what they are, the agencies feel no need to provide them with the data they require. The research indicates that self‐maintenance by scientific epidemiologists may introduce biases which when combined with a politically inspired need to transfer responsibility for food‐poisoning outbreaks, skew the conduct of investigations and their conclusions. Contends that this is compounded by serious and multiple inadequacies in the conduct of investigations, arising at least in part from the lack of training and relative inexperience of investigators, the whole conditioned by interdisciplinary rivalry between the professional groups staffing the different agencies. Finds that in addition failures to exploit or develop epidemiological technologies has affected the ability of investigators to resolve the uncertainties identified. Makes recommendations directed at improving the performance of the surveillance agencies which, if adopted will substantially enhance food poisoning control efforts.

People living in rural and urban areas experience different socioeconomic conditions, which should affect their consumer behaviour. The purpose of this study is to examine the effects of these socio-economic differences on the consumption of milk, yoghurt, and cheese.

Face-to-face interviews are conducted with 191 households in the city of Van (Eastern Turkey). The collected data are evaluated using SPSS – Multiple Correspondence Analysis.

Results of the evaluations show that there are socio-economical differences between urban and rural populations in terms of age, education, occupation, and income, which affects their consumption behaviour. The rural consumers generally consume raw (unpasteurized, unpackaged) milk. These consumers tend to have low income and be illiterate. The urban consumers, on the other hand, consume pasteurized milk and have higher incomes compared with the rural consumers and have a mid-level to university education. In the rural areas, consumers usually make their own yoghurt but those who purchase their yoghurt pay attention to its packaging the most. In the rural areas, consumers who make their own cheese have mid-level income and primary school education.

The paper analyses the current effects of socio-economic differences in rural and urban areas on the consumption behaviour of milk, yoghurt, and cheese using the Multiple Correspondence Analysis (MCA). MCA analysis has rarely been used in this area.

Urbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various categories of rural and urban households’ consumption.

We employ an environmental extended input-output model to assess and compare the rural-urban household carbon footprints and perform a multivariant regression analysis to identify the varying relationships of the determinants on rural and urban household carbon footprints based on the panel data of Chinese households from 2012 to 2018.

The results show evidence of urbanity density effect on direct carbon footprints and countervailing effect on indirect carbon footprints. The old dependency ratio has no significant effect on rural family emissions but has a significantly negative effect on urban direct and indirect carbon footprints. A higher child dependency ratio is associated with less rural household carbon emissions while the opposite is true for urban households. Taking advantage of recycled fuel saves direct carbon emissions and this green lifestyle benefits urban households more by saving more carbon emissions. There is a positive relationship between consumption structure ratio and direct carbon footprints while a negative relationship with indirect carbon footprints and this impact is less significant for urban households. The higher the price level of water, electricity and fuel, the lower the rural household’s direct carbon footprints. Private car ownership consistently augments household carbon footprints across rural and urban areas.

This paper provides comprehensive findings to understand the relationships between an array of determinants and China’s rural-urban carbon emissions, empowering China’s contribution to the global effort on climate mitigation.