Air pollution and food prices: evidence from China

Sun, Feifei; Koemle, Dieter; Yu, Xiaohua

doi:10.1111/1467-8489.12204

Cited by 13 publications

(15 citation statements)

References 45 publications

(46 reference statements)

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“… Ct could be a discrete variable that models the outbreak of COVID-19, or the number of infections which measures the severity of diseases. Following the model proposed by Sun et al (2017), we first have…”

Section: Theoretical Modelmentioning

confidence: 99%

“…Furthermore, food prices often exhibit seasonality (Yu, 2014; Sun et al , 2017). For instance, the Chinese New Year holidays often push up food prices.…”

Section: Modelmentioning

confidence: 99%

“…In light of this, this paper particularly sheds light on the impact of COVID-19 on food prices in China. The travel restriction implemented to fight the infection could reduce both demand and supply (Sun et al , 2017). We first propose a theoretical framework in Section 2 to show that the final aggregate impact is linked to the difference between supply and demand in response to the COVID-19 shock.…”

Section: Introductionmentioning

confidence: 99%

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The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces

Liu

Wang

et al. 2020

CAER

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101

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PurposeThe purpose of this paper is to empirically study the impact of the coronavirus disease 2019 (COVID-19) on food prices in China and provides policy implications for crisis management for other countries who are still under the crisis of COVID-19 and for the future in China and beyond as well.Design/methodology/approachThis paper first designed a theoretical model of market equilibrium, which shows that the impact of COVID-19 on food prices is linked to the impact difference on demand and supply in response to the COVID-19 crisis. Then we collected the representative prices data for four major food products (rice, wheat flour, pork and Chinese cabbages) from three provinces (Shandong as a producing base, Beijing as a consumption base and Hubei as the epicenter), and set up an iGARCH model.Findings(1) No significant impact on rice and wheat flour prices, (2) significantly positive impact on cabbages prices and (3) various impact on pork prices. Note that the outbreak and the severity of COVID-19 have different impacts. The outbreak itself may have a relatively large impact on pork and cabbage prices, which may result from social panic, while the magnitude of the impact of severity is relatively small, and some are negative, perhaps due to more reduced demand during the quarantine.Practical implicationsChina always puts food security in its prior position of policy agenda and has been preparing for the worst scenario of the food security crisis. In the anti-COVID-19 campaign, China's local governments developed many measures to ensure food provision for each consumer. Hence, the impact of COVID-19 on food prices is minor. However, the outbreak of COVID-19 crisis could cause social panic in some scenarios where consumers may hoard food. Eventually, it may form a vicious cycle to push up food prices. This will be a challenging policy issue in crisis management for almost all governments.Originality/valueThis paper provides empirical evidence on the impact of COVID-19 on food prices in China. China has basically contained the COVID-19 in the whole country, and no major food crisis occurred during this process. The results will provide information on crisis management for other countries that are still under the COVID-19 crisis, and for future China and beyond.

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Section: Theoretical Modelmentioning

confidence: 99%

“…Furthermore, food prices often exhibit seasonality (Yu, 2014; Sun et al , 2017). For instance, the Chinese New Year holidays often push up food prices.…”

Section: Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces

Liu

Wang

et al. 2020

CAER

Self Cite

101

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“…The environmental effects of the inflows are particularly important for agriculture, where the production and the environment are strongly interconnected (Pearson ; Sun et al . ). Greenhouse gas emissions are one of such possible effects.…”

Section: Introductionmentioning

confidence: 97%

Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries

Kastratović

2019

Aus J Agri & Res Econ

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This research analyses the impact of foreign direct investment on greenhouse gas emissions in the agriculture sector of developing countries. Panel data from 63 developing countries for the period 2005 to 2014 was used to estimate a dynamic econometric model by applying a system‐generalised method of moments. The empirical results indicate a positive impact of foreign direct investment in agriculture on the carbon dioxide equivalent emission intensity in developing countries. The results provide weak support for the pollution havens hypothesis and imply the importance of coordination between foreign direct investment and environmental policies.

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“…Temperature and precipitation are used as control variables to control for the effect of natural factors (climate change) on vegetation cover. Climatic factors are among the most significant factors in determining the adequate growth of local surface plants, for both general plants and agricultural crops [26][27][28][29]. Especially in certain areas with inclement climate (e.g., Loess Plateau), the vegetation growth level is greatly limited by the natural environment.…”

Section: Other Control Variablesmentioning

confidence: 99%

Urbanization, Economic Development, and Ecological Environment: Evidence from Provincial Panel Data in China

Xiao-fu

Chang

2022

Sustainability

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The relationship between urbanization and the ecological environment is not conclusive in the literature. We used the provincial data from China from 1998 to 2019 to empirically study the relationship between the urbanization ratio and ecological environment which is proxied by the NDVI (normalized difference vegetation index) from the remote sensing data. The results indicate that the coefficient of the interaction between urbanization and per capita GDP is statistically significant and negative (−0.0946), while the coefficient of urbanization itself is very trivial and not statistically significant. It implies that urbanization could reduce ecological quality, particularly for the high-income regions. The higher the urbanization ratio is, the larger the negative impact is. It implies that urban expansion does reduce the ecological environment. The effect of economic development level on the NDVI can be divided into three stages: the one where the NDVI improves with the increase of GDP per capita (urbanization rate of less than 77.59%), the one where the value of the NDVI is not affected by the level of GDP per capita (urbanization rate equal to 77.59%), and the one where the NDVI decreases with the increase of GDP per capita (urbanization rate of more than 77.59%).

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Air pollution and food prices: evidence from China

Cited by 13 publications

References 45 publications

The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces

The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces

Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries

Urbanization, Economic Development, and Ecological Environment: Evidence from Provincial Panel Data in China

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