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Consumers’ experiences and preferences for plant-based meat food: Evidence from a choice experiment in four cities of China
WANG Ge, Madison T PLASTER, Bai Yun-li, LIU Cheng-fang
2023, 22 (1): 306-319.   DOI: 10.1016/j.jia.2022.09.008
Abstract247)      PDF in ScienceDirect      

This paper examined consumers’ experiences in and preferences for plant-based meat (PBM) food and their respective correlates, based on data from an online survey of 579 consumers in four major cities in China in early 2021.  We first described consumers’ experiences in consuming and purchasing PBM food and their correlates, and then analyzed consumer preferences using hypothetical choice experiment.  The experiment offered consumers various options to purchase burgers made from PBM or animal-based meat (ABM), combined with different countries of origin (COO), taste labels, and prices.  Our data showed that respondents hold overall positive attitudes toward PBM food; 85 and 82% of respondents reported experience in eating and purchasing PBM food, respectively.  More than half of them ate PBM food because they wanted to try new food (58%), or were interested in healthy food (56%).  Income, religion, and dietary restrictions were significantly correlated with consumers’ experiences in PBM food consumption.  Results from the Random Parameter Logit Model based on the hypothetical choice experiment data showed that 79% of respondents chose PBM burgers and were willing to pay an average of 88 CNY for a PBM burger.  We also found that 99.8 and 83% of respondents are willing to buy burgers made in China and those with a taste label, with a willingness to pay (WTP) of 208 and 120 CNY, respectively.  The heterogeneity test revealed that females and those with at least a bachelor’s degree, higher income, religious beliefs, and dietary restrictions are more likely to buy PBM burgers than their counterparts

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Off-farm employment and poverty alleviation in rural China
LI Shao-ping, DONG Yong-qing, ZHANG Lin-xiu, LIU Cheng-fang
2021, 20 (4): 943-952.   DOI: 10.1016/S2095-3119(21)63616-X
Abstract138)      PDF in ScienceDirect      
Two phenomena in the history of China’s economic growth during the last four decades are the increase in the share of off-farm employment and the progress in poverty alleviation in rural China.  Although both of them have been well documented in the literature, less is known about the linkage between the two.  To better understand the role that off-farm employment has played in poverty alleviation in rural China is critically important not only for China but also for those countries that are trying to reduce poverty.  Here, we examine the impact of off-farm employment on poverty alleviation in rural China.  Using the data from two nationally representative household panel surveys (China National Rural Survey and China Rural Development Survey), this paper provides supporting evidence that off-farm employment contributes to poverty alleviation in rural China.  Specifically, if household participation in off-farm employment increases by 10 percentage points, the likelihood for a non-poor household to fall into poverty will decrease by 0.88 percentage point whereas the likelihood for a poor household to climb out of poverty will increase by 3.5 percentage points.  In a word, off-employment can not only prevent rural residents to fall into poverty but also help those already in poverty climb out of it.
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Impacts of the COVID-19 pandemic on rural poverty and policy responses in China
LUO Ren-fu, LIU Cheng-fang, GAO Jing-jing, WANG Tian-yi, ZHI Hua-yong, SHI Peng-fei, HUANG Ji-kun
2020, 19 (12): 2946-2964.   DOI: 10.1016/S2095-3119(20)63426-8
Abstract136)      PDF in ScienceDirect      
Given the sudden outbreak of the COVID-19 pandemic, a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate extreme poverty by the end of 2020.  This paper uses data from the latest round of a nationally representative household panel survey to examine the impacts of the pandemic on rural poverty in China.  Our data show that 11.9% of sample households were ever officially registered as poor households between 2013 and 2019, and this poverty incidence fell to 2.7% by the end of 2019.  In the middle February of 2020, 23% of the households who have graduated from poverty since 2013 perceived that they would fall back into poverty due to the COVID-19.  Among those never poor households, 7.1% perceived that they would possibly fall into poverty due to the pandemic.  Results from both descriptive and multivariate analyses consistently show the interruptions that the pandemic caused in off-farm employment is an important channel that led households to perceive of falling back into or falling into poverty.  We also find households in the bottom four quintiles when ranked in terms of household income per capita are much more likely to perceive themselves of falling back into or falling into poverty during this pandemic than those in the richest quintile.  Meanwhile, our results show that the education and age of household heads, as well as being from Hubei Province matter in explaining household perception about falling back into or falling into poverty in some cases but not all.  The paper concludes with a set of policy responses that China has taken to mitigate the impact of COVID-19 pandemic on poverty alleviation. 
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