Food away from home in Beijing: Effects of wealth, time and “free” meals

Bai, Junfei; Wahl, Thomas; Lohmar, Bryan; Huang, Jikun

doi:10.1016/j.chieco.2010.04.003

Cited by 66 publications

(60 citation statements)

References 27 publications

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“…As incomes increase, households often increase their spending on food away from home (FAFH) in restaurants, cafeterias, food stalls, and other venues (Ma et al 2006;Bai et al 2010). Even if FAFH expenditure is well-recorded in household surveys, these surveys may not collect data on the quantities of foods consumed away from home, as is the case for the Chinese Rural Household Survey.…”

Section: Food Consumption Biasmentioning

confidence: 99%

“…Available evidence indicates that the composition of FAFH is different from food eaten at home (Bai et al 2010); for example, consumers often eat more meat and less grain when dining out than when eating at home. However, the assumption of identical composition is serviceable for an approximate correction to food consumption bias.…”

Section: Food Consumption Bias Correctionmentioning

confidence: 99%

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Matching food with mouths: A statistical explanation to the abnormal decline of per capita food consumption in rural China

Abler

2016

Food Policy

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This study provides an alternative explanation for the unusual apparent decline in food consumption in rural China after 2000. We find that it is mainly attributable to significant measurement errors in the Chinese Rural Household Survey and the calculation of per capita food consumption. In a household survey, total consumption for a household in a certain period is often well recorded, and per capita consumption is obtained by dividing total consumption by household size. Such a calculation of per capita food consumption is vulnerable to a mismatch between food and mouths. Total consumption may be subject to measurement errors caused primarily by food away from home (FAFH). Also, the household size recorded in the survey is not necessarily the same as the number of mouths (consumption household size), who consume the food recorded in the survey. Our results indicate that food consumption in rural China is currently being underestimated by about 30%. Our results also indicate that income elasticities of food consumption are greater than measured elasticities based on the Rural Household Survey data. Terms of use: Documents in

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Section: Food Consumption Biasmentioning

confidence: 99%

Section: Food Consumption Bias Correctionmentioning

confidence: 99%

Matching food with mouths: A statistical explanation to the abnormal decline of per capita food consumption in rural China

Abler

2016

Food Policy

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“…This separates the spending decision into the stages of 'whether' and 'how much' to spend. This model has been used widely in different fields, such as the evaluation of public goods (Saz-Salazar and Rausell-Köster, 2008;López-Mosquera and Sánchez, 2011;Marzetti et al, 2011;Marzetti and Disegna, 2012), food expenditure (Newman and Matthews, 2001;Bai et al, 2010), analysis of consumption (Jones and Yen, 2000;Aristei and Pierani, 2008), and visitors' expenditure (Hong et al 1999;Weagley and Huh, 2004;Hong et al, 2005;Nicolau and Màs, 2005;Jang et al, 2007;Jang and Ham, 2009;Kim et al, 2010;Brida et al, 2012b). Cragg's (1971) approach estimates a probit model for the first stage, whereas a log-normal or truncated normal model is used for the amount of spending.…”

Section: Literature Reviewmentioning

confidence: 99%

Visitors to Two Types of Museums: Do Expenditure Patterns Differ?

2013

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Abstract:The authors study the determinants of the expenditure behaviour of visitors to two types of museums. Ad hoc surveys were conducted between June and September 2011 of visitors to the South Tyrol Museum of Archaeology and the Museum of Modern and Contemporaneous Art of Trento and Rovereto (MART). These are the two principal museums in the Italian provinces of Bolzano and Trento. The double-hurdle model is used via the Heien and Wessels two-step estimator. This procedure splits the process of spending decision into the stages of 'selection' and 'outcome', and also results in consistent estimates. The findings highlight two distinct profiles. The spending of visitors to the modern art museum is positively related to its cultural interest, whereas the expenditure profile of the archaeological museum visitors is more 'generalist'.Keywords: visitors' expenditure; museums; double-hurdle model; spending behaviour C19; D12; L83 Museums are the most popular cultural attractions (McKercher, 2004), followed by art galleries and monuments. Their unique cultural role is built on the creation of new understandings of the past and the reaffirmation of an identity in time and space (McIntosh and Prentice, 1999), which is often unavailable elsewhere (Graburn, 1983(Graburn, , 1998Tufts and Milne, 1999). For a long time This research was supported by the Autonomous Province of Bolzano project 'Le attrazioni culturali e naturali come motore dello sviluppo turistico. Un'analisi del loro impatto economico, sociale e culturale', and by the Free University of Bolzano projects 'Determinants of tourist expenditure: theory and microeconometric models' and 'Museum visitors: a comparative socio-economic analysis'.

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“…The double-hurdle model has been widely used to analyse different economic fields, including: the economic-use valuation of a public good (Saz-Salazar and Rausell-Köster, 2008;López-Mosquera and Sánchez, 2011;Marzetti et al, 2011), the evaluation of food expenditure (Newman and Matthews, 2001;Möser, 2010;Bai et al, 2010) and the analysis of consumption (Jones, 1989;Jones and Yen, 2000;Aristei and Pierani, 2008).…”

Section: Visitors' Expenditurementioning

confidence: 99%

Visitors' Expenditure Behaviour at Cultural Events: The Case of Christmas Markets

2013

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This paper examines the determinants of visitors' expenditure behaviour at cultural events. The authors analyse visitors' expenditure at the micro-level, dividing it into expenditure on accommodation and expenditure on food and beverages. The explicative variables taken into account are socio-demographic, economic, psychological and trip-related attributes. An ad hoc survey was conducted on the three most famous Christmas markets in the north of Italy in December 2008 and 2009. To achieve their aims, the authors use the robust double-hurdle model. The results indicate that travel purpose, region of origin, perception of the event, length of stay and age are significant factors influencing both the propensity to spend and the amount of money actually spent during visits. The findings will provide destination managers and tourism businesses with practical knowledge useful for destination marketing, event development and customer service.

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Food away from home in Beijing: Effects of wealth, time and “free” meals

Cited by 66 publications

References 27 publications

Matching food with mouths: A statistical explanation to the abnormal decline of per capita food consumption in rural China

Matching food with mouths: A statistical explanation to the abnormal decline of per capita food consumption in rural China

Visitors to Two Types of Museums: Do Expenditure Patterns Differ?

Visitors' Expenditure Behaviour at Cultural Events: The Case of Christmas Markets

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