Did Household Income Loss Have an Immediate Impact on Animal-Source Foods Consumption during the Early Stage of the COVID-19 Pandemic?

The outbreak of COVID-19 in 2020 caused extensive impact on household income and foods consumption. However, little attention has been paid to the immediate impact of income loss on animal-source foods consumption in the early stage of the COVID-19 pandemic. This paper aims to narrow this gap, and a total of 1301 valid samples of household food consumption surveys in Wuhan and Nanjing were obtained through specially designed online questionnaires. The surveys show that there were 69.6% (Wuhan) and 42.2% (Nanjing) of surveyed households whose animal-source foods consumption were affected, and there were 47.4% (Wuhan) and 18.9% (Nanjing) of surveyed households who suffered income loss. Furthermore, this paper makes an empirical study on the linkage between income loss and animal-source foods consumption. The results show that the pandemic affected household income, resulting in an immediate impact on animal-source foods consumption. This immediate impact may have been due to the combination of price increases, income loss and insufficient savings, which led to a "perfect storm" for animal-source foods consumption. Moreover, household income loss affected various animal-source foods consumption differently. For households suffering income losses, the odds of pork, beef and mutton, poultry, aquatic products, eggs and dairy products consumption being affected were increased by a factor of 1.894, 2.140, 2.773, 2.345, 1.802, 2.835, respectively, holding other variables constant. The results may be related to residents' consumption habits and food prices. During the COVID-19 pandemic, the reduction of animal-source foods consumption may have led to a state of tension concerning an increase in the development of nutrition intake and health, which may have led to increased food security risks.

Pathways to food insecurity: Migration, hukou and COVID-19 in Nanjing, China.

The COVID-19 pandemic has issued significant challenges to food systems and the food security of migrants in cities. In China, there have been no studies to date focusing on the food security of migrants during the pandemic. To fill this gap, an online questionnaire survey of food security in Nanjing City, China, was conducted in March 2020. This paper situates the research findings in the general literature on the general migrant experience during the pandemic under COVID and the specifics of the Chinese policy of hukou. Using multiple linear regression and ordered logistic regression, the paper examines the impact of migration status on food security during the pandemic. The paper finds that during the COVID-19 outbreak in 2020, households without local Nanjing hukou were more food insecure than those with Nanjing hukou. The differences related more to the absolute quantity of food intake, rather than reduction in food quality or in levels of anxiety over food access. Migrants in China and elsewhere during COVID-19 experienced three pathways to food insecurity-an income gap, an accessibility gap, and a benefits gap. This conceptual framework is used to structure the discussion and interpretation of survey findings and also has wider potential applicability.

Impacts of community-level grassroots organizations on household food security during the COVID-19 epidemic period in China.

Purchasing food via community-level grassroots organizations was a new pattern of food patronage for Wuhan residents during the COVID-19 lockdown in 2020, but little attention was paid to it. The study examined the relationship between community-level grassroots organizations and household food insecurity based on an online survey of household food insecurity in Wuhan in March 2020. The study found that problems in all three domains of food insecurity including food anxiety, insufficient quality and inadequate quantity existed but were uneven. Community-level grassroots organizations played an important role in promoting food security including reducing worries about food supply and providing enough food intake, but did not ensure households had adequate food quality due to increasing food prices, fewer varieties of food and decreased food freshness. Compared to other grassroots organizations, the community committee had actually become an extension of the government to run administrative grassroots affairs before the epidemic, so its tight relationship with local government made it become the major grassroots power in ensuring household food security at the residential community level.

Emergency food supplies and food security in Wuhan and Nanjing, China, during the COVID-19 pandemic: Evidence from a field survey.

Motivation: Detailed empirical work on the impact of the COVID-19 pandemic on food security is scant. Local management of food security has received little attention. Purpose: This article describes emergency food policies in Wuhan and Nanjing, China during lockdown in 2020 and their implications for household food security in the two cities. Methods and approach: Policy documents and background data describe the emergency measures. Online surveys of residents of two Chinese cities were used to gauge household food security. Findings: Despite the determined efforts of provincial and city governments to ensure that food reached people who were locked down in Wuhan, or subject to restrictions on movement in Nanjing, households experienced some decline in food security. Most households found they could not access their preferred foods. But a minority of households did not get enough to eat.Government had contingency plans for the pandemic that ensured that most people had sufficient, if not preferred, food. But not all households were fully covered. Policy implications: A more resilient system of food distribution is needed, including a relatively closed and independent home delivery system. Grassroots organizations such as residential community committees, property management organizations, and spontaneous volunteer groups need to be brought into the management of emergency food provision.

Factors determining household-level food insecurity during COVID-19 epidemic: a case of Wuhan, China.

BACKGROUND: In coping with the coronavirus disease 2019 (COVID-19) epidemic, cities adopted social isolation and lockdown measures; however, little is known about the impacts of these restrictions on household food security. OBJECTIVE: This study provides a timely assessment of household food insecurity (HFI) in the Chinese city of Wuhan during the COVID-19 epidemic period and also investigates its determinant factors. DESIGN: We collected valid data on food insecurity from 653 households in Wuhan via an online questionnaire in March 2020. The Household Food Insecurity Access Scale Score (HFIASS) was used to measure HFI, and a multiple linear regression model was used to determine the HFIASS. RESULTS: The mean HFIASS in Wuhan was 9.42 (standard deviation: 5.82), with more than 50% of the households had an HFIASS < 9. Compared with normal conditions, lockdown measures had a huge negative impact on household food security. The results revealed that socio-demographic characteristics remained the underlying determinants of HFIASS during the epidemic. Households in Wuhan with local Hukou (city household registration) and self-owned property had a lower risk of food insecurity. DISCUSSION AND CONCLUSION: After the restriction of conventional food access channels, intermediary food purchase methods such as group purchasing, shopping with the help of neighborhood committees, property management agents, and volunteers became the most important or the only channel for residents to access food. There were similarities in the use of these intermediary channels. Based on the probability that the epidemic will continue and the probability of similar public health-related outbreaks in the future, the study calls for a more resilient and responsive sustainable food supply system by harnessing the capacity of communities, e-commerce and rapid logistics.

Concentration of heavy metals in vegetables and potential health risk assessment in China.

Food safety is an important issue in the world. This study assessed the health risk for the Chinese public when consuming vegetables grown in China, based on 1335 data records from 220 published papers during 2007-2016. The results showed that the average of Pb, Cd, and Hg concentration in vegetables was 0.106, 0.041, and 0.008 mg/kg, which were lower than the maximum allowable concentrations, respectively. Leaf vegetables contained higher heavy metals than root vegetables and fruit vegetables. On a provincial scale, the highest Pb, Cd, and Hg concentrations in vegetables were determined by those in soil and atmosphere. The total health risk index showed that people in Guizhou, Yunnan, Guangxi, Hunan, Guangdong, Hubei provinces in southern China, and Liaoning Province in northeast China, faced a high risk of Pb, Cd, and Hg when consuming vegetables.

Carbon emissions from land-use change and management in China between 1990 and 2010.

China has experienced enormous changes in land use in recent decades, which are largely driven by its unparalleled economic development. We analyze changes in vegetation and soil carbon storage between 1990 and 2010 resulting from combinations of land-use category conversion and management. Results demonstrate a major decline in grasslands (-6.85%; 20.83 × 106 ha) and large increases in urban areas (+43.73%; 6.87 × 106 ha), farmlands (+0.84%; 1.48 × 106 ha), and forests (+0.67%; 1.52 × 106 ha). The total soil organic carbon pool has been reduced by approximately 11.5 Tg of carbon (TgC) year-1, whereas 13.2 TgC year-1 has accumulated in the biomass carbon pool because of land-use category change. Large carbon losses (approximately 101.8 TgC year-1) have resulted from land management failures, including forest fires and insect pests. Overall land-use change and land management have contributed about 1.45 Pg of carbon to the total carbon released from 1990 to 2010. Our results highlight the importance of improving land-use management, especially in view of the recently proposed expansion of urban areas in China.

Identification of Potential Sources of Mercury (Hg) in Farmland Soil Using a Decision Tree Method in China.

Identification of the sources of soil mercury (Hg) on the provincial scale is helpful for enacting effective policies to prevent further contamination and take reclamation measurements. The natural and anthropogenic sources and their contributions of Hg in Chinese farmland soil were identified based on a decision tree method. The results showed that the concentrations of Hg in parent materials were most strongly associated with the general spatial distribution pattern of Hg concentration on a provincial scale. The decision tree analysis gained an 89.70% total accuracy in simulating the influence of human activities on the additions of Hg in farmland soil. Human activities-for example, the production of coke, application of fertilizers, discharge of wastewater, discharge of solid waste, and the production of non-ferrous metals-were the main external sources of a large amount of Hg in the farmland soil.

Assessment of arsenic (As) occurrence in arable soil and its related health risk in China.

Arsenic (As) is a major global environmental pollutant due to its high toxicity on human and animal health. This study collected 427 relevant papers to study As concentrations in Chinese arable soil and evaluate the health risk of exposure to As for humans. Results showed that the average of As concentration was 9.46 mg/kg in Chinese arable soil. Soil As concentrations in Hunan Province and Guangxi Zhuang Autonomous Region posed high carcinogenic and non-cancer risks on human health through diet, Yunnan, Guizhou, Guangdong, and Xinjiang provinces had relative high health risks, while As concentrations in the other provinces posed low health risks on humans. The physical factors controlled the spatial pattern of health risk on a provincial scale, but the As-related human activities introduced high health risk on people, particularly the agricultural activities such as sewage irrigation and fertilizer application should be given more attention due to its large area.

Impact of Soil Heavy Metal Pollution on Food Safety in China.

Food safety is a major concern for the Chinese public. This study collected 465 published papers on heavy metal pollution rates (the ratio of the samples exceeding the Grade II limits for Chinese soils, the Soil Environmental Quality Standard-1995) in farmland soil throughout China. The results showed that Cd had the highest pollution rate of 7.75%, followed by Hg, Cu, Ni and Zn, Pb and Cr had the lowest pollution rates at lower than 1%. The total pollution rate in Chinese farmland soil was 10.18%, mainly from Cd, Hg, Cu, and Ni. The human activities of mining and smelting, industry, irrigation by sewage, urban development, and fertilizer application released certain amounts of heavy metals into soil, which resulted in the farmland soil being polluted. Considering the spatial variations of grain production, about 13.86% of grain production was affected due to the heavy metal pollution in farmland soil. These results many provide valuable information for agricultural soil management and protection in China.

Assessment of cadmium (Cd) concentration in arable soil in China.

Cadmium (Cd) concentration in arable soil has drawn broad public attention due to its direct effect on Cd concentration in food. However, there have been few studies of surveying Cd accumulation on the national scale in China. This paper collected 486 studies of Cd concentrations in Chinese arable soil. The results showed that the average Cd concentration was 0.27 mg/kg, higher than its background value, indicating that Cd had been introduced into arable soil by human activity. The Cd concentrations in areas of mining and smelting, urban areas, and areas irrigated by wastewater were obviously higher than that in remote areas. Spatially, Cd concentrations were lower in the north than those in the south, and many hotspots existed throughout China due to mining and smelting activities. Most Cd in the arable soil were accumulated from external sources in all investigated provinces except Ningxia Hui Autonomous Region.

[Spatial distribution and accumulation of heavy metal in arable land soil of China].

Based on the domestic and foreign published papers about soil heavy metal contents, the present study explored the spatial variations of heavy metal contents in agricultural soil in China. Totally, 173 studies on soil Pb, 138 on Cd, 156 on Cu, 139 on Zn and 140 on Cr were collected. Firstly, the abnormal values were selected and removed, then the spatial distributions were obtained through Kriging method and the average values in the provinces were calculated. Results show that the spatial distributions of heavy metals have obvious regional characteristics and the southwest part of China has relatively high heavy metal concentrations in soils. Compared with the background value of soil heavy metal concentrations, nearly all of the provinces have higher Pb, Cd, Cu and Zn concentrations. Pb and Cd have the most obviously higher values than the background values. The highest difference of Pb concentration is in Yunnan Province with 1.91 times of the background, and the highest Cd difference is in Liaoning Province with 23.04 times of the background; The highest Zn enrichment is in Yunnan, with 1.55 times of the background; and the highest Cu difference with 2.92 times of the background value.

[Spatial pattern evolution of carbon emission intensity from energy consumption in China].

Using Theil index and spatial autocorrelation analysis methods, the characteristics, regional disparity and spatial pattern evolution of carbon emission intensity from energy consumption were analyzed on national, regional and provincial level from 1999 to 2007 in China. The results indicate that: (1) total energy carbon emission in China has increased from 0.91Gt in 1999 to 1.83Gt in 2007, while carbon emission intensity has decreased from 0.83 t x (10(4) yuan) (-1) to 0.79 t x (10(4) yuan) (-1); (2) carbon emission intensity of eight major economic blocks showed the trend of three-level differentiation, with that of northeast regions, the middle reaches of Yellow River regions and northwest regions above 1.0 t x (10(4) yuan)(-1); northern coastal regions, the middle reaches of Yangtze River regions and southwest regions 0.7-1.0 t x (10(4) yuan) (-1); eastern and northern regions 0.32-0.51 t x (10(4) yuan) (-1); (3) Theil index analysis indicates that the within-region carbon emission intensities were similar, and the expanding total disparity of carbon emission intensity was primarily due to between-region inequalities. (4) spatial autocorrelation analysis shows that Global Moran's I has increased from 0.19 to 0.25, indicating that there were positive spatial correlations among provincial regions in China, and regions of similar carbon emission intensity agglomerated in space. The "cold spot" areas of carbon emission intensity were relatively stable, while the "hot spot" areas has gradually shifted from northwest regions to the middle reaches of Yellow River regions and northeast regions. (5) spatial disparity of carbon emission intensity is closely related to factors such as regional resources endowment, economic development, industrial structure and energy utilization efficiency. The study of regional disparity and spatial autocorrelation provides insight into spatial heterogeneity and spatial pattern evolution of carbon emission intensity in China, and also provides references for the development of differential regional objectives of carbon emission reduction and related regulation policies.

[Application of spatial autocorrelation analysis to the COD, SO2 and TSP emission in Jiangsu province].

Spatial autocorrelation is an effective tool of spatial statistics, which is used to disclose the spatial structure of regional disparity. There are two different scales to measure regional spatial dependence: global spatial autocorrelation and local spatial autocorrelation. Based on environmental data of 13 cities in Jiangsu province from 1990 to 2006, the regional disparity of COD, SO2 and TSP emission was discussed by using spatial autocorrelation analysis methods. The results show that total emission of COD and TSP decreased respectively from 596 353 t and 1 101 404 t in 1990 to 291 762 t and 704734 t in 2006, while total emission of SO2 kept steady. In 2006, Global Moran's I of COD, SO2 and TSP emission was 0.465 7, 0.214 2 and 0.510 1 respectively. It is identified that positive spatial autocorrelation is presented and spatial aggregation pattern of COD, SO2 and TSP emission are appeared. However, spatial aggregation pattern of COD emission appears earlier than that of SO2 and TSP, and spatial aggregation degree of COD is also higher than that of SO2 and TSP. There are different spatial patterns between southern and northern Jiangsu. In southern Jiangsu, Global Moran's I of COD, SO2 and TSP emission had increased to 0.499 7, 0.320 2 and 0.298 3 up to 2006, and spatial aggregation pattern appeared remarkably. In northern Jiangsu, most of the Global Moran's I were less than -0.2, and spatial aggregation pattern disappeared accordingly. High cluster region of COD emission is Suzhou, Wuxi and Changzhou, and high cluster region of SO2 emission is Suzhou and Wuxi. However, spatial pattern of TSP emission does not change much and five cities of southern Jiangsu (Suzhou, Wuxi, Changzhou, Zhenjiang, Nanjing) are still the high cluster region. The last, the research provides an important cognition to regional environment disparity and macro-environmental strategy, and a significant means to harmonious society and eco-province construction in Jiangsu province.

[Impact of rural land market on farm household's behavior of soil & water conservation and its regional difference: A case study of Xingguo, Shangrao, and Yujiang County in Jiangxi province ecologically vulnerable districts].

The paper analyzed the farm households' decision-making progress of soil & water conservation and its two-stage conceptual model. It also discussed the impacts of rural land market on the farm households' behavior of soil & water conservation. Given that, the article established models for the relations between the land market and soil & water conservation, and the models' parameters were estimated with Heckman's two-stage approach by using the farm household questionnaires in Xingguo, Shangrao and Yujiang counties of Jiangxi province. The paper analyzed the impact o f rural land market on farm household's behavior of soil & water conservation and its regional difference with the result of model estimation. The results show that the perception of soil & water loss and the tax & fee on the farm land have significant influence upon the soil and water conservation from the view of the population; however, because of different social and economic condition, and soil & water loss, there are differences of the influence among the three sample counties. These differences go as follows in detail: In Xingguo County, the rent-in land area and its cost have remarkable effect on the farm households' soil & water conservation behavior; In Yujiang County, the rent-in land area, rent-in cost and rent-out land area remarkably influence the farm households' behavior of soil and water conservation, with the influence of the rent-in land area being greater than Xingguo County; In Shangrao County, only rent-out land area has significant influence on the behaviors of soil & water conservation; In all samples, Xingguo County and Yujiang County samples, the rent-out income has no significant influence on the farm household's decision-making behavior soil and water conservation. Finally, the paper put forward some suggestions on how to bring the soil & water loss under control and use land resource in sustainable ways.