James L. Seale, Junfei Bai, Thomas I. Wahl and Bryan T. Lohmar
The purpose of this paper is to analyze the income sensitivity of food consumption in Beijing, China, using an original household survey data set collected by the Chinese Academy…
Abstract
Purpose
The purpose of this paper is to analyze the income sensitivity of food consumption in Beijing, China, using an original household survey data set collected by the Chinese Academy of Sciences.
Design/methodology/approach
An Engel curve model is fit to the household data of nine food categories and 35 food items, and both conditional and unconditional expenditure elasticities of demand are calculated and reported for the nine food groups and the 35 food items.
Findings
Working's model fits the data well, and the elasticity estimates are all reasonable in terms of economic theory, size and signs. The results indicate a relative large range in income sensitivity among the nine food groups and 35 food items in response to changes in household food expenditure levels.
Originality/value
The research analyzes unique and rich urban household survey data collected by the Chinese Academy of Sciences and is the most comprehensive analysis to date in terms of the number of food items studied for which expenditure elasticities are calculated. These elasticities may be used to study household food consumption patterns, to calculate caloric or nutrient elasticities, to study obesity in China, to study policy prescriptions in terms of taxes and subsidies on food, to infer welfare and affluence, and may be used as inputs into econometric models such as those used by the World Bank, IFPRI, and others.
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Weiming Huang, Fangbin Qiao, Huaiju Liu, Xiangping Jia and Bryan Lohmar
– The purpose of this paper is to analyze the impact of structural changes in hog production manure management practices.
Abstract
Purpose
The purpose of this paper is to analyze the impact of structural changes in hog production manure management practices.
Design/methodology/approach
The data used in this study are obtained from a large-scale nationwide hog producers’ survey in rural China conducted by the Center for Chinese Agricultural Policy, Chinese Academy of Sciences, in 2010. A descriptive analysis between hog manure management and its main determinants was conducted. Based on the collected data, an econometric model on the determinants of hog manure management was constructed and used for analysis.
Findings
The results of this study suggest that the scale of hog production has an important impact on the pattern of hog manure management. Moreover, the results from descriptive statistics and multivariate estimation suggest that smaller hog producers are more likely to apply hog manure to their own lands, while larger hog producers are more likely to sell the manure or find other ways to dispose of it.
Originality/value
This study contributes to the existing literature by examining the impact of structural changes in hog production on hog manure management and the environment.
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Jikun Huang, Bowen Peng and Xiaobing Wang
Previous studies have mainly focused on public opinions regarding genetically modified (GM) technology and GM food. The purpose of this paper is to assess scientists’ attitudes on…
Abstract
Purpose
Previous studies have mainly focused on public opinions regarding genetically modified (GM) technology and GM food. The purpose of this paper is to assess scientists’ attitudes on whether China needs to develop its national agricultural GM technology and their willingness to buy GM food.
Design/methodology/approach
A stratified sampling method was used to select and interview 806 scientists from six major agricultural universities and 20 research institutes under two national academies in China in 2013. Based on these data, the authors use both descriptive statistics and multivariate regression analysis to examine scientists’ attitudes toward agricultural GM technology and food, using GM soybean oil as an example of GM foods.
Findings
The survey results show that nearly three-quarters of scientists agree that China needs to develop its agricultural GM technology, but their attitudes differ largely. Only 29 percent of scientists are willing to buy GM soybean oil, similar to urban consumers (25 percent) in China. The knowledge of biology is extensive for some scientists but varies significant among scientists and correlates positively with their attitudes toward agricultural GM technology and GM soybean oil. Younger and male scientists with higher professional titles, and those involved in GM research are more in favor of China’s GM technology compared to other scientists. Female scientists, scientists with lower professional titles, those that have never engaged in GM research or are from non-agricultural scientific disciplines are less willing to buy GM soybean oil. Interestingly, their low willingness to buy GM soybean oil is inconsistent with the fact that it is the most common edible oil in China.
Originality/value
This study is the first to examine scientists’ attitudes toward GM technology and food in China. The results of this study contribute to understanding the current debates on GM technology and the relevance of research, based on the willingness to buy GM food, for decision making regarding the commercialization of GM technology.
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Junpeng Li, Wanglin Ma, Alan Renwick and Hongyun Zheng
The objective of this study is to estimate the impacts of access to irrigation on farm income, household income and income diversification.
Abstract
Purpose
The objective of this study is to estimate the impacts of access to irrigation on farm income, household income and income diversification.
Design/methodology/approach
This study employs an endogenous switching regression (ESR) model to address the selection bias arising from both observed and unobserved factors and analyze cross-sectional data collected from Fujian, Henan and Sichuan provinces in China. The authors use the Simpson index to measure household income diversification. The propensity score matching (PSM) model and control function approach are also used for comparison purpose.
Findings
After controlling for the selection bias, the authors find that access to irrigation has a positive and statistically significant impact on rural incomes and diversification. The treatment effects of access to irrigation are to increase farm income, household income and income diversification by around 14, 10 and 107%, respectively. The positive effects of access to irrigation are confirmed by the estimates of the PSM model and control function approach. Further analysis reveals that the irrigation effects on rural incomes and diversification are heterogeneous between small-scale and large-scale farmers and between male-headed and female-headed households.
Practical implications
The authors’ findings suggest that the government should continue to improve irrigation infrastructure construction in rural China to promote smallholder farmers' water access and at the same time facilitate farmers' access to better agronomic and irrigation information. There exist gender and farm size related income and diversification effects of access to irrigation, and the irrigation access is associated with farm location. Thus, when developing regional irrigation programs consideration needs to be taken of whether the rural farming systems are dominated by male/female household heads and land fragmentation/consolidation issues.
Originality/value
Although a large body of literature has investigated the effects of irrigation development in rural areas, little is known about the impact of access to irrigation on income diversification. The selection bias associated with unobserved heterogeneities is usually neglected in previous studies. This study provides the first attempt by examining the impacts of access to irrigation on rural incomes and diversification, using the ESR model to address both observed and unobserved selection bias.