Dataset on Household
Food Ingredients and Source Areas of Urban Residents in Yantai, Lanzhou,
Xinxiang, and Jiujiang Cities of China (2020)
Zhao, M. X.1,2 Yao, Y. X.1 Mejia, A.3 Wang, J. Y.4 Cen, J. H.1
1. College
of Architecture, South China University of Technology, Guangzhou 510640, China;
2. Department of Urban Planning, State Key
Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China;
3. Department of Civil and Environmental Engineer,
The Pennsylvania State University, Pennsylvania State
PA16801,
USA;
4. College
of Architecture, Tianjin University, Tianjin 300072, China
Abstract: China??s
new dual circulation policy has increased the country??s dependence on food
supplies from foreign countries, and improving the self-sufficiency of the
urban food supply is key to alleviating the insufficient elasticity of China??s
food supply system. Given the significant differences in the dietary structures
of urban residents across different regions, analyzing the proportions of local
supplies and the regional differences in urban residents?? food ingredients from
a global perspective has become an urgent. To this end, in April 2020, online
questionnaires based on existing relevant research were distributed to more than
one thousand households in the cities of Yantai, Lanzhou, Xinxiang, and
Jiujiang; 752 valid completed questionnaires were collected. The questionnaire
covers four aspects: residents?? basic household situations, consumption of
different ingredients, sourcing of ingredients, and factors affecting
residents?? purchase of ingredients. Finally, a survey dataset of household
ingredients and source areas for urban residents in Yantai, Lanzhou, Xinxiang,
and Jiujiang was compiled. The content of this dataset includes: (1) food
ingredient import data from Gansu, Henan, Jiangxi, and Shandong provinces in
2019; (2) a summary table of the household recipe survey questionnaire in four
cities; (3) household socioeconomic characteristics in the four cities; (4) per
capita food consumption in the four cities; (5) degree of localization and
globalization and coefficient of variation of food demand in the four cities;
and (6) factors affecting residents?? purchase of food ingredients. The dataset
is stored in. xlsx format, consisting of a single file with data size of 209
KB.
Keywords: urban residents; food
consumption; regional differences; dual circulation
DOI: https://doi.org/10.3974/geodp.2023.01.08
CSTR: https://cstr.escience.org.cn/CSTR:20146.14.2023.01.08
Dataset Availability Statement:
The dataset supporting this paper
was published and is accessible through the Digital Journal of Global Change Data Repository
at: https://doi.org/10.3974/geodb.
2023.04.04.V1 or https://cstr.escience.org.cn/CSTR:20146.11.2023.04.04.V1.
1 Introduction
The methodological exploration of the globalization and localization
of important products is a fundamental aspect of empirical research on China??s
dual circulation policy. Food consumption and trade are related to national
transportation and people??s livelihoods, and food security is an important
foundation for national security[1]. As an advocate of natural
order, the 18th-century physiocratic scholar Quesnay paid attention
to the circular process of the national economy, focusing on cyclical social
reproduction. In contrast, Smith??s mercantilist theory holds that the global
scale of trade cannot be changed, pointing to the modern Western European
promotion of unified domestic markets and the formation of world markets. Since
the global financial crisis in 2008, international trade disputes have been
frequent, and the security of supply chains, including food, has become an
important issue in China. Therefore, the country has proposed a policy of
??accelerating the construction of a new development pattern dominated by the
domestic macro cycle and mutually promoting domestic and international dual
cycles??. At the same time, the pace of securing China??s urban food supply and
protecting arable land across the region is also accelerating. China??s food
security strategy of ??focusing on ourselves, basing ourselves on the domestic
market, ensuring production capacity, appropriate imports, and technological
support?? is inherently consistent with the dual cycle. Since 2000, China has
transformed from a net grain exporter into a net importer. With the expansion
of the trade deficit in agricultural products, China??s grain self-sufficiency
rate has continued to decline[2,3], and urban households?? exogenous
food dependence has become a matter of urgent concern.
Understanding
the source characteristics of household food consumption and different urban
residents?? proportion of local food supplies can help clarify the domestic
demand for ecologically sound products; it is also a fundamental research
response to the new development pattern of dual circulation. In China,
residents of regions at different developmental stages differ significantly in
their dietary habits[4–6]. Focusing on the differences in food
consumption among residents in different regions can also help guide local food
consumption and reduce losses and waste during the processes of food
transportation and consumption[7].
The
existing relevant datasets include the dietary guidelines for Chinese residents
revised by the Chinese Nutrition Society[8] as well as the main food
consumption patterns of Chinese residents published by the National Bureau of
Statistics. These datasets are based on the average food intake of residents
across the country, and they recommend daily food intake values for different
populations. While they provide universal guidelines, these datasets often
target the population as a whole, ignoring regional and urban differences in
food intake. At the same time, existing research rarely involves the analysis
of the sources of residents?? food ingredients; particularly lacking is the
classification and interpretation of the levels of localization and
globalization of residents?? recipes. In addition, statistical yearbooks generally
adopt a sampling survey method involving only 100 households and lacking basic
information and statistical data on the surveyed households. Therefore, with
regard to domestic demand under the dual circulation policy, existing datasets
offer limited contributions to issues such as local food security, reducing
food transportation and food waste, and improving regional food security[9,10].
Based on
the practical background and existing research, this dataset takes Lanzhou,
Jiujiang, Xinxiang, and Yantai cities as the research areas and uses household
recipe questionnaires to gather information on the consumption of food
materials, the demand for locally sourced foods, the degree of globalization,
and factors affecting residents?? purchases of food ingredients in different
cities. This dataset was gleaned from a targeted questionnaire design in terms
of research objects, research content, and other aspects. The data collection
methods for determining residents?? food ingredients from both local sources and
those beyond their immediate locality can provide new data references for
improving food security in different regions.
2 Metadata of the Dataset
The metadata of the Food questionnaire statistics
from Yantai, Lanzhou, Xinxiang and Jiujiang cities of China (2020)[11] is summarized in Table 1. It includes the
dataset??s full name, short name, authors, year, temporal resolution, spatial
resolution, data format, data size, data files, data publisher, and data
sharing policy, etc.
Table 1
Metadata summary of the Food questionnaire
statistics from Yantai, Lanzhou, Xinxiang and Jiujiang cities of China (2020)
Items
|
Description
|
Dataset full name
|
Food
questionnaire statistics from Yantai, Lanzhou, Xinxiang and Jiujiang cities
of China (2020)
|
Dataset short
name
|
FoodQuestionnaireStatisticsFourCities2020
|
Authors
|
Zhao, M. X.,
College of Architecture, South China University of Technology,
arzhao@scut.edu.cn
Yao, Y. X.,
College of Architecture, South China University of Technology,
1589120345@qq.com
Wang, J. Y.,
College of Architecture, Tianjin University, 19994339180@163.com
|
Geographical region
|
Lanzhou,
Jiujiang, Xinxiang and Yantai in China
|
Year
|
2020
|
Data format
|
.xls
|
Data size
|
209 KB
|
Data files
|
Tab. 1. Import
data of food in Gansu, Henan, Jiangxi and Shandong of China in 2019
Tab. 2. Summary
of survey questionnaires on household ingredients and source areas in
Lanzhou, Yantai, Xinxiang, and Jiujiang cities of China
Tab. 3. Social
and economic characteristics of residents in four cities
Tab. 4. Per
capita consumption of four cities' residents
Tab. 5. The
degree and coefficient of variation of localization and globalization of food
in four cities
Tab. 6. Factors
affecting residents' purchase of food in four cities
|
Foundation
|
National Social
Science Foundation (22&VHQ009)
|
Data publisher
|
Global Change Research Data Publishing & Repository,
http://www.geodoi.ac.cn
|
Address
|
No. 11A, Datun
Road, Chaoyang District, Beijing 100101, China
|
Data sharing
policy
|
Data from the Global
Change Research Data Publishing & Repository includes metadata, datasets (in the Digital Journal of Global Change Data Repository), and
publications (in the Journal of Global Change Data & Discovery). Data sharing policy includes: (1) Data are openly
available and can be free downloaded via the Internet; (2) End users are
encouraged to use Data subject to citation; (3) Users, who are by definition
also value-added service providers, are welcome to redistribute Data
subject to written permission from the GCdataPR Editorial Office and the
issuance of a Data redistribution license; and (4) If Data are used to
compile new datasets, the ??ten percent principal?? should be followed such
that Data records utilized should not surpass 10% of the new
dataset contents, while sources should be clearly noted in suitable places in
the new dataset[12]
|
Communication and
searchable system
|
DOI, CSTR, Crossref, DCI, CSCD, CNKI,
SciEngine, WDS/ISC, GEOSS
|
3 Methods
In
response to the policy background of the new development pattern of dual
circulation, the data collection of the questionnaire was divided into regions,
and the degree of localization and globalization of food ingredients was
measured by means of food source. This dataset focuses on four medium-sized
cities, Yantai, Lanzhou, Xinxiang, and Jiujiang. These cities are located in
the eastern, western, central northern, and southern regions of China and are
strongly representative in terms of natural environment, taking into account
terrain and landforms such as mountains, plains, lakes, and coastal areas.
The import data
on food ingredients from the four provinces in this dataset comes from the
trade statistics of import and export goods published by the General
Administration of Customs of the People??s Republic of China. The calculation
was based on the countries where trading partners are located, and the total
import value of various types of food in the four provinces was calculated. The
data from the household questionnaire survey were drawn from the authors??
questionnaire survey. Existing research has shown that reducing household food
waste can effectively improve food security patterns, so many studies related
to food waste rely mainly on household questionnaire survey methods [13-14].
Based on this, the author distributed an online questionnaire to thousands of
households in four cities in April 2020. 752 valid questionnaires were
ultimately collected, including 203 in Yantai, 203 in Lanzhou, 115 in Xinxiang,
and 194 in Jiujiang. The questionnaire covers four aspects: basic household
situation, consumption of different ingredients, source of ingredients, and
factors affecting residents?? purchase of ingredients.
This dataset
classifies residents?? consumption of ingredients into 12 major categories:
grains, beef and mutton, bean products (legumes), eggs, dairy products,
vegetables, poultry, oils, aquatic products, pork, fruits, and others. These
categories are based on general dietary intake, and respondents indicated the
amount consumed in the household in each category (for example, the consumption
range of fruit ingredients is 0-400 g,
400-800 g, 800-1,200 g, 1,200-1,500 g, and
above 1,500 g).
Referring to
existing relevant research[4], the per capita food consumption of
residents was calculated by equation (1), in which FC represents the daily per
capita consumption of food ingredients; FCf is the household
consumption of ingredients in grams; Na is the number of adults in
the family (unit/person); NY is the number of young children in the
family (unit/person); t is the age correction coefficient, and this dataset is
taken as 0.56 of adult food consumption, based on existing research.
(1)
In
addition, this study required respondents to fill in the source of ingredients
based on the origin of the ingredients indicated on the packaging. This
questionnaire divides the sources of food ingredients into three categories:
domestic, local, and imported. ??Domestic?? refers to food ingredients sourced in
the city of consumption, ??local?? refers to food ingredients sourced outside the
city of consumption but within China, and ??imported?? refers to food ingredients
sourced overseas[12]. China relies mainly on imports for some crops
(such as soybeans) used for soybean products and raw materials for feed grain.
Therefore, when conducting in-depth research, the feed consumed by animals used
for meat should be split and calculated based on the specific gravity of the
feed. However, due to the objective description of the questionnaire data in
this dataset, the import rate of some crops used in feed for pigs, cows, and
sheep was not considered in the calculation.
To compare the degree of differences in the sources of different
ingredients in the four cities surveyed, this study referred to relevant
concepts in the field of statistics and calculated the coefficient of variation
of various ingredients using Equation (2), in which Cv is the coefficient of variation for any ingredient, ai and ??i are the average and standard deviation of class i ingredients in the four cities. In
theory, the larger the value of Cvi,
the more significant the difference in the consumption of such ingredients
among the four cities. (2)
Finally,
the factors affecting household residents?? food purchases were classified
according to six features: price, quality,
nutritional value, regional identity, eating habits, and convenient
transportation. The degree of impact was determined by respondents?? choices
among five options: no impact, small impact, moderate impact, large impact, and
great impact.
4 Data Results
and Validation
4.1 Data Composition
Tab.
1 of the dataset shows import data for food materials in the four provinces of
Gansu, Shandong, Henan and Jiangxi in 2019, providing a preliminary indication
of the global network characteristics of imported food in different provinces.
Shandong used the most foreign food goods, while Jiangxi used the fewest
foreign food goods (Figure 1).
Figure 1 Maps of distribution of food
import countries in Gansu, Shandong, Henan, and Jiangxi provinces (2019)
The food
questionnaire statistics include the socioeconomic attributes of the surveyed
households in four cities, the household consumption of different ingredients
on a given day, the source of the consumed ingredients, and the factors
affecting the purchase of ingredients. The specific contents include: (1)
import data on food ingredients used in Gansu, Henan, Jiangxi, and Shandong
provinces in 2019; (2) original data from the questionnaire survey on family
recipes of urban residents in four cities; (3) basic information and
statistical data of residents?? families, including city of residence, age
structure of family members, monthly household income, specific residence type,
and shopping location. Specific residential areas are divided into five
options: urban center, urban suburbs, county and urban areas, towns, and
villages (the research focuses on the dependency characteristics of urban
families, and this research dataset only includes the first three types of
residential areas). The shopping locations are divided into five options: large
supermarkets, bazaars, meat and vegetable markets, online shopping, and nearby
convenience stores; (4) daily per capita food consumption calculated based on
household recipes; (5) degree of localization and globalization of food demand
in the four cities, as well as the coefficient of variation of various types of
food materials, calculated based on the sources of respondents?? household food
materials; and (6) factors influencing residents?? purchase of food materials in
the four cities.
4.2 Data Results
Table
2 shows basic information on the surveyed households. Respondents in this survey
were mainly younger adults between 18 and 60 years old, accounting for 67.45%
of the population of the four cities averaged, and the most common family size
was three or four. Urban residents account for the majority of the respondents,
with 83.78% of households located in urban centers and suburbs. Shopping
locations were mostly concentrated in large supermarkets, meat and vegetable
markets and nearby convenience stores, with large supermarkets accounting for
31.33%. The proportions of bazaar and online shopping were relatively small[15].
Table
2 Basic information on surveyed
households in the four cities
Socioeconomic
attributes
|
Meaning
|
Result-
percentage(%)
|
Socioeconomic
attributes
|
Meaning
|
Result-
percentage(%)
|
Age
|
Under 4
|
6.13
|
Residence
type
|
Urban central area
|
61.44
|
4-17
|
15.83
|
Suburbs
|
22.34
|
18-45
|
40.65
|
County urban area
|
16.22
|
46-60
|
26.8
|
Food
shopping
location
|
Supermarket
|
31.33
|
Older than 61
|
10.59
|
Bazaar
|
7.95
|
Monthly
household
income
|
Less than 2,500
Yuan
|
2.7
|
Meat and
vegetable market
|
27.25
|
2,500-4,200 Yuan
|
10.29
|
Online shopping
|
8.95
|
4,201-8,400 Yuan
|
32.6
|
Convenience
store
|
24.52
|
8,401-30,000
Yuan
|
45.71
|
|
|
|
30,001-42,000
Yuan
|
5.64
|
|
|
|
42,001-67,000
Yuan
|
1.96
|
|
|
|
67,001-170,000 Yuan
|
0.86
|
|
|
|
More than 170,001
Yuan
|
0.25
|
|
|
|
Table 3 shows
the daily per capita consumption of different ingredients by household
residents. According to the table, the overall daily per capita food
consumption is about 1100g, with relatively low figures from Yantai and
Xinxiang. With regard to dietary structure, households in the four cities
consume principally grains, vegetables, and fruits, supplemented by dairy
products, beef and mutton, and poultry, while consuming less oil, bean
products, and other types of food. The research data matches the per capita
daily food consumption of residents indicated in the 2020 yearbook data of each
province, and the data are highly reliable.
Table
3 Daily per capita consumption of
different ingredients in four cities (g)
Food type
|
Lanzhou
|
Xinxiang
|
Jiujiang
|
Yantai
|
Food type
|
Lanzhou
|
Xinxiang
|
Jiujiang
|
Yantai
|
Oils
|
24.74
|
24.74
|
23.13
|
18.53
|
Eggs
|
48.97
|
53.89
|
41.88
|
40.68
|
Bean products
|
20.88
|
23.07
|
34.06
|
27.55
|
Aquatic products
|
104.94
|
62.67
|
147.61
|
102.94
|
Dairy
|
104.80
|
93.85
|
88.87
|
80.83
|
Vegetables
|
204.75
|
185.74
|
213.40
|
219.23
|
Pork
|
86.57
|
83.50
|
65.01
|
77.24
|
Fruits
|
240.94
|
200.62
|
158.81
|
162.87
|
Beef and mutton
|
118.51
|
49.32
|
70.76
|
53.13
|
Grain
|
236.18
|
215.79
|
276.48
|
207.81
|
Poultry
|
58.6
|
52.69
|
88.40
|
47.41
|
Sum
|
1249.89
|
1045.45
|
1208.43
|
1038.22
|
Table 4 Proportion of different food sources in
the four cities (%)
|
Food sources
|
Lanzhou
|
Xinxiang
|
Jiujiang
|
Yantai
|
Global
|
2.04
|
3.43
|
1.38
|
3.00
|
Local
|
37.77
|
32.78
|
25.06
|
20.30
|
Domestic
|
60.91
|
63.79
|
73.55
|
76.70
|
Table 4 shows
the proportion of different food sources in the four cities. Overall, domestic
ingredients dominate the four cities, but there are significant differences in
the degrees of localization and globalization of different ingredients in the
four cities. Among them, Xinxiang and Lanzhou relied more on domestic food,
while Yantai and Jiujiang showed a relatively high degree of localization of
ingredients.
Table 5 shows the coefficient of variation of various food
ingredient-producing areas in the four cities. From the table, it can be seen
that the difference in the proportion of domestic consumption of food ingredients was the
smallest, but that there were still significant relative differences
(coefficient of variation greater than 0.25) in domestic grains, oils, aquatic
products, and dairy products, reflecting the impact of differences in natural
resource endowments on food production. In addition, contrary to the proportion
of domestic food consumption, there was a significant difference in the
proportions of various imported food ingredients. The maximum was 1.57 (for
oils) and the minimum was a mere 0.28 (for miscellaneous).
Table
5 Coefficient of variation of different
types of food
Food
sources
|
Food type
|
Grai-n
|
Oils
|
Bean Produ-cts
|
Beef
&mutt-on
|
Pork
|
Poult-ry
|
Eggs
|
Fruit-s
|
Vegeta-bles
|
Aquatic products
|
Da-ir-y
|
Othe-rs
|
Global
|
0.94
|
1.57
|
1.27
|
0.49
|
0.69
|
1.16
|
1.12
|
0.32
|
0.69
|
0.80
|
0.42
|
0.28
|
Local
|
0.41
|
0.54
|
0.60
|
0.32
|
0.26
|
0.65
|
0.77
|
0.09
|
0.36
|
0.63
|
0.35
|
0.12
|
Domestic
|
0.27
|
0.36
|
0.10
|
0.15
|
0.03
|
0.09
|
0.04
|
0.08
|
0.05
|
0.30
|
0.27
|
0.21
|
Figure 2 analyzes the composition of regional sources of different food
materials in the four cities surveyed. The results show that the localization
of eggs, vegetables, and pork in the four cities was relatively high, and the
differences between the four cities were small. In terms of the degree of
localization, fruits and other types of food (snacks, etc.) had the highest
proportion of local ingredients and small differences. However, there were
significant differences in the domestic and local sourcing of dairy products,
aquatic products, and oils in the four cities. This result is closely related
to the resource endowments and dietary habits of various regions. For example,
the proportion of dairy products sourced from Lanzhou is much higher than that
of the other three cities, which is mainly related to the breeding of cattle
and sheep by herdsmen in this area; Lanzhou residents are therefore more likely
to consume dairy products produced by domestic cattle and sheep. The proportion
of various types of imported food materials in the four cities was relatively
low, and there was a significant difference in the importing of aquatic
products and of other foods (snacks, etc.).
Figure 2 Proportions of domestic, local, and
globally sourced foods in the four cities
Table 6 shows the analysis of factors
affecting residents?? purchase of food materials. Overall, the quality and
nutritional value of food materials had a significant impact on whether
residents decide to purchase food materials, reflecting the importance that
contemporary residents place on food safety and healthy eating. Dietary habits,
food prices, and residents?? regional identification with the origin of food
materials had less impact on residents?? purchasing behavior. In terms of
promoting domestic demand to encourage the dual circulation system, given that
residents are currently focused on the nutritional value and quality of food
materials, it is recommended to utilize land resources for high value-added
crop and livestock farming to match residents?? demand for enhanced nutrition
and quality while also fulfilling the desired conversion of general grain
crops.
4.3 Data Verification
All data in this dataset were drawn from the questionnaire survey. In
order to reduce the impact of deviation on the study, the questionnaire
interval design, survey and processing were strictly
completed in combination with official documents such as the Chinese Residents??
Dietary Guide while conducting a complete examination of the dietary habits of
residents in the four cities surveyed. After obtaining the questionnaire data,
in order to ensure reliability,
Table
6 Analysis of factors affecting
respondents?? purchase of food (%)
Degree of impact
|
Price
|
Quality
|
Nutritional value
|
Regional
identity
|
Eating habits
|
Transportation
convenience
|
No impact
|
11.78
|
7.98
|
9.08
|
20.25
|
18.28
|
12.52
|
Low impact
|
23.56
|
6.26
|
7.85
|
28.1
|
17.06
|
12.64
|
Moderate impact
|
38.04
|
16.44
|
24.05
|
35.83
|
28.47
|
25.4
|
Large impact
|
19.26
|
40.61
|
38.28
|
11.66
|
24.91
|
33.62
|
Great impact
|
7.36
|
28.71
|
20.73
|
4.17
|
11.29
|
15.83
|
we cleared the data of respondents who took
too little time to complete the questionnaire and those from questionnaires
that contained unreasonable responses. Finally, the reliability of the
questionnaire results was tested, and the results showed a good Cronbach??s ɑ
coefficient of 0.806, indicating that the questionnaire??s data results are highly
reliable.
5 Discussion and Conclusion
In
the process of creating a new dual circulation development pattern, China has
increased its food dependence on foreign countries due to internal factors such
as the reduction of grain sowing areas and the growing tendency of the rural
labor force to work elsewhere as well as external factors such as inefficient
grain distribution and lack of authority in the international grain market,
while the uncertainty of overseas trade obstructs both internal and external
cycles. Under the security concept of ensuring ??basic grain self-sufficiency
and absolute food security??, attaching importance to and guaranteeing China??s
food security has become an important proposition in the dual circulation
development pattern. Solving the dilemma of domestic food security can help lay
a solid foundation for the policy and potentially even become its driving force
and primary support. However, the dietary structure of urban residents in
different regions in China is quite different. Therefore, further studies should analyze the
regional characteristics of food consumption from the perspective of globalization.
This dataset focuses on the majority of medium-sized cities in China, with
Yantai, Lanzhou, Xinxiang, and Jiujiang as the research objects. It mainly
investigates urban households of three or four with stable incomes. Based on a
family recipe questionnaire survey, it focuses on the characteristics of food
consumption among residents in different regions. The data results indicate
that:
(1) The total daily
food consumption of residents in the four cities is similar, but there are
significant regional differences in the consumption of different food
materials. For example, the consumption of beef, mutton, and dairy products is
the highest among Lanzhou Hui people due to the influence of their halal diet;
the inland city of Xinxiang has the lowest consumption of aquatic products.
(2) Domestic ingredients
in all four cities dominate, with local ingredients in second place and
imported ingredients as the least common. Yantai and Jiujiang use the highest
proportions of domestic ingredients. Meanwhile, there is a significant
difference in the degree of globalization among different ingredients in the
four cities, while the difference in domestic ingredients is relatively small.
(3) Among the
factors that affect the purchase of food materials by residents in the four
cities, the quality, nutritional value, and transportation convenience during
the purchase process have a greater impact on the purchase of food materials,
while dietary habits, food prices, and regional identity have a relatively
small impact.
In summary, the
above data analysis results are significant for understanding the dietary
characteristics of households in medium-sized cities in China and formulating
differentiated strategies to prevent food waste. Objectively considering the
resource endowments and consumption characteristics of various regions,
formulating targeted land use plans for forest, farmland, water, grass, and
other types of food production land, and improving the supply chain efficiency
of domestic food transportation/storage will help to lay a solid foundation for
ensuring the new dual circulation development pattern.
In subsequent
research, this dataset can provide data support for scholars studying China??s
food security issues as well as a reference for relevant policymakers to
implement the dual circulation development policy with regional differences. In
addition, it is possible to conduct extensive research based on existing data,
such as converting the per capita food consumption of different urban
households into corresponding land resource usages based on the concept of the
ecological footprint, and providing a basis for local governments to
scientifically formulate territorial spatial planning so as to better implement
the development strategy of ??storing food in the ground, storing food with
technology??. In addition, future research can combine logistics supply data to
calculate the energy and water consumption of food supply networks based on the
diversity of sources of food materials. A comprehensive analysis of basic
information and regional characteristics of food consumption among different
urban households could also be conducted to explore the factors influencing
food consumption among urban households in different areas. These are topics
that can be focused on in the future.
Author Contributions
Zhao,
M. X. conducted the overall design of the dataset. Alfonso Mejia provided
guidance on questionnaire design. Zhao, M. X. and Mejia, A. designed the algorithms
for the dataset. Wang, J. Y. contributed to the data processing and analysis. Yao,
Y. X. wrote the data paper. Cen, J. H. did the Data
Verification.
Conflicts of Interest
The
authors declare no conflicts of interest.
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