The association between food outlet accessibility and market competition to household food expenditures: Empirical evidence from the convenience store industry in Taiwan

Agribusiness ◽  
2021 ◽  
Author(s):  
Hung‐Hao Chang ◽  
Brian Lee
2018 ◽  
Vol 12 (6) ◽  
pp. 853-860
Author(s):  
Jui-Che Tu ◽  
◽  
Yi-Lin Lee

The density of convenience stores in Taiwan is the highest in the world. Among the numerous commodities, the market competition for fresh food products is the fiercest and has become a focus of convenience store operations. Due to the change in Taiwanese lifestyles and consumer acceptance of the dining-out model, the demand and supply of fresh food products in convenience stores continues to increase. To benefit marketing performance, not only do convenience stores carry out promotional activities by reducing the price of products but they constantly innovate the taste and variety of fresh food products. For example, the tide of Taiwanese bento, during which promotions were implemented in the President Chain Store, has changed consumer diet habits; despite the raised price, consumers are still willing to purchase the product. However, convenient, real-time fresh food brought by this convenience store usually causes a massive waste of food. In its manufacturing and production processes, the food production chain ranks among the top three for national greenhouse gases. Whenever a piece of food is wasted, greenhouse gases are produced. Moreover, more resources are consumed to dispose of the wasted foods and garbage, further increasing greenhouse gas emissions and multiplying the carbon footprint. The phenomenon of excessive food waste has become an urgent issue in recent years in Taiwan, which is famous for its convenient food culture and service. In addition, because of Taiwan’s special economic development status, as well as rapid urbanization and family structure change, the ways to jointly affect this special consumption and food culture have become a topic worthy of discussion. Therefore, this research selected cooked food products in convenience stores as the main subject to explore the effect of social status and diet consumption from the perspective of daily social patterns and family structure data. It also examined the dilemma of excessive waste of food, to provide improvement advice as a reference to future relevant social policies and research.


Author(s):  
Risky Malinda ◽  
Etti Sudaryati ◽  
Evawany Aritonang

Stunting is a linear growth failure due to insufficient long-term nutritional intake. The higher the proportion of household expenditure from total income, the lower the economic level of the family so it is at risk of food insecurity. This study aims to determine the differences in the proportion of stunting and household food expenditure between students from smokers and non-smokers families. This study was an observational study with a cross sectional design with a sample of 98 students from smokers 'families and 98 students from nonsmokers' families. Stunting data is obtained by measuring student height. Household food expenditure is obtained by comparing the total household expenditure spent on food with the total income earned during income. This study uses statistical analysis using the chi-square test. There was a difference in the proportion of stunting (p = <0.001) and the proportion of household food expenditure (p = <0.001) between smokers and non-smokers 'families where the proportion of stunting and household improvement was higher among smokers' families. The conclusion is there’re differences in the proportion of stunting and household food expenditure in students from smoker families and non-smoker families. Families should limit cigarette consumption and allocate appropriately in household food expenditures.


2020 ◽  
Vol 129 ◽  
pp. 104879 ◽  
Author(s):  
Degnet Abebaw ◽  
Assefa Admassie ◽  
Habtemariam Kassa ◽  
Christine Padoch

2020 ◽  
Vol 14 (1) ◽  
pp. 15-30
Author(s):  
Amjad Iqbal ◽  
Khalil Jebran ◽  
Muhammad Umar

Purpose This study aims to explore the relationship between product market competition (competition hereafter) and the quality of analysts’ forecasts. Design/methodology/approach This study uses industry-level (i.e. Herfindahl–Hirschman index), as well as firm-level (i.e. Lerner index) measures of competition and uses forecast accuracy and forecasts dispersion as proxies for analysts’ forecast quality. Further, this study considers a sample of Chinese-listed manufacturing companies for the period spanning 2005 to 2016 and uses various estimation techniques to empirically test the hypothesized relationship. Findings The results show that firms in highly competitive industries are characterized by greater accuracy and smaller dispersion in forecasts. Further, this positive association is more pronounced in SOEs as compared to NSOEs, and in industries characterized by intense competition. The sensitivity analysis further endorses the main results. Practical implications Presenting theoretical and empirical evidence, this study suggests that regulatory bodies should take steps to promote the competitive environment in China. This can help financial analysts in developing more accurate and reliable forecasts and ultimately can bring informational efficiency to the market. Finally, investors would be able to perform their business valuation process in a better way and make economic-useful decisions regarding their capital resource allocation. Originality/value The contribution of the current research is threefold: first, it adds to the limited literature available on this specific topic; second, this study examines the issue in China and further single out the influence of state-ownership and intensity of competition on the relation between competition and forecast properties; and third, this study provides theoretical arguments for the positive association between competition and forecasts quality while setting directions for future research on the topic and suggests the potential channels such as the reporting quality channel and the information disclosure channel that need to be explored further, to better understand the mechanism where competition influences the quality of analysts’ forecasts.


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