China Agricultural Economic Review最新文献

{"title":"Impact of agricultural land ownership on child nutrition in rural Sudan: an investigation across gender","authors":"Samia Mohamed Nour, Ebaidalla M. Ebaidalla","doi":"10.1108/caer-06-2023-0145","DOIUrl":"https://doi.org/10.1108/caer-06-2023-0145","url":null,"abstract":"<h3>Purpose</h3>\u0000<p> In light of the inequality in access to farming land and the high prevalence of child malnutrition in Sudan, there is a lack of empirical research on the relationship between land ownership and child nutritional status. This study aims to examine the influence of agricultural landholding on the nutritional status of children under the age of five in rural Sudan.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The study utilizes data from Sudan’s 2014 Multiple Indicator Cluster Survey (MICS), covering a sample of 10,753 rural children. The empirical analysis uses the two-stage least squares (2SLS) approach, adopting various estimation methods and model specifications for robustness check and comparison.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p> The results demonstrate that agricultural land has a positive and significant effect on reducing child malnutrition, signifying that children from families with agricultural land are less susceptible to malnutrition in Sudan. When examining the male and female sub-samples separately, the findings indicate a positive influence of land ownership on child malnutrition in the female sub-sample, while no significant impact is observed in the male sub-sample. This indicates a gender disparity in the effects of land ownership on child nutrition, with girls benefiting more from access to agricultural land compared to boys.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p> The study has several significant contributions. First, this is the sole study that examines the impact of agricultural land ownership on child malnutrition in Sudan. Second, considering the gender variations in nutritional status, investigating the influence of land ownership on child nutrition across genders addresses a significant gap in the current literature. Finally, the findings resulting from this study can contribute to achieving the United Nations Sustainable Development Goals (SDGs) to be achieved by 2030, precisely focusing on SDG2 Goal 2: Zero hunger and SDG 10: Goal 10: Reduced inequalities.</p><!--/ Abstract__block -->","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142260373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Typologies of South African small-scale farmers and their risk perceptions: an unsupervised machine learning approach","authors":"Sara Yazdan Bakhsh, Kingsley Ayisi, Reimund P. Rötter, Wayne Twine, Jan-Henning Feil","doi":"10.1108/caer-09-2022-0201","DOIUrl":"https://doi.org/10.1108/caer-09-2022-0201","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Small-scale farmers are highly heterogeneous with regard to their types of farming, levels of technology adoption, degree of commercialization and many other factors. Such heterogeneous types, respectively groups of small-scale farming systems require different forms of government interventions. This paper applies a machine learning approach to analyze the typologies of small-scale farmers in South Africa based on a wide range of objective variables regarding their personal, farm and context characteristics, which support an effective, target-group-specific design and communication of policies.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>A cluster analysis is performed based on a comprehensive quantitative and qualitative survey among 212 small-scale farmers, which was conducted in 2019 in the Limpopo Province of South Africa. An unsupervised machine learning approach, namely Partitioning Around Medoids (PAM), is applied to the survey data. Subsequently, the farmers' risk perceptions between the different clusters are analyzed and compared.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>According to the results of the cluster analysis, the small-scale farmers of the investigated sample can be grouped into four types: subsistence-oriented farmers, semi-subsistence livestock-oriented farmers, semi-subsistence crop-oriented farmers and market-oriented farmers. The subsequently analyzed risk perceptions and attitudes differ considerably between these types.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This is the first typologisation of small-scale farmers based on a comprehensive collection of quantitative and qualitative variables, which can all be considered in the analysis through the application of an unsupervised machine learning approach, namely PAM. Such typologisation is a pre-requisite for the design of more target-group-specific and suitable policy interventions.</p><!--/ Abstract__block -->","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trade and energy efficiency: theory and evidence","authors":"Geng Huang, Xi Lin, Ling-Yun He","doi":"10.1108/caer-01-2024-0019","DOIUrl":"https://doi.org/10.1108/caer-01-2024-0019","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Some existing studies have begun to discuss how trade will change the environment from a country or province perspective. However, so far, only a limited number of studies have provided evidence at the product level. This study aims to investigate the environmental impacts of trade at the product level.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>The effects of importing intermediates and capital inputs on energy performance are examined using theoretical analysis. Empirical analyses are conducted using data on product trade, and the effects of importing intermediate inputs and capital inputs on energy efficiency are identified using a Propensity Score Matching-Difference in Difference (PSM-DID) estimation.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results demonstrate that importing intermediates and capital inputs effectively enhance energy efficiency. Importing these inputs from foreign markets leads to increased productivity and ultimately improves energy performance.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This research provides new evidence on the relationship between importing and energy use at the product trade level. It offers insights into enterprise behaviors regarding importing intermediates and capital inputs, contributing to a deeper understanding of the environmental effects of trade. Additionally, a micro-theoretical model is developed to examine the impacts of imports on energy efficiency, complementing existing literature with theoretical insights.</p><!--/ Abstract__block -->","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Media coverage of food safety and expenditures for food away from home: empirical evidence from China’s family panel studies","authors":"Tao Li, Zifang Tian, Yang Wang, Caiping Zhang","doi":"10.1108/caer-11-2023-0323","DOIUrl":"https://doi.org/10.1108/caer-11-2023-0323","url":null,"abstract":"PurposeThis study explores whether media coverage of Chinese food safety guide consumer behaviour and determines its impact.Design/methodology/approachUsing data from the China Family Panel Studies, this study implements unsupervised machine learning methods to quantitatively identify themes in news media coverage of food safety across various provinces and regions. Based on these findings, this study examines the impact of coverage of food safety on consumer behaviour related to FAFH.FindingsWe find that media coverage of food safety in the restaurant sector significantly decreases household expenditure on FAFH relative to total expenditure. While negative coverage substantially decreases expenditure on FAFH, non-negative coverage significantly increases it. Reports of food safety incidents outside consumers’ province are negatively correlated with expenditure on FAFH, whereas reports within province significantly increases such spending. Further, the negative impact of media coverage on FAFH spending is less pronounced among higher-income families, households headed by individuals with high educational levels and those with low sensitivity to newspaper information. A robust government information infrastructure also mitigates this negative impact.Research limitations/implicationsThe findings have important policy reference value for promoting the healthy development of catering and other life services by improving news reporting and the regulatory system.Originality/valueThis article employs machine learning methods to identify news reports related to food safety in the catering industry quantitatively and incorporates them into the study of household consumption in China. Consequently, this not only fills a gap in the existing literature but also provides a new perspective for interdisciplinary research in economics, sociology and computer science.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Media coverage of food safety and expenditures for food away from home: empirical evidence from China’s family panel studies","authors":"Tao Li, Zifang Tian, Yang Wang, Caiping Zhang","doi":"10.1108/caer-11-2023-0323","DOIUrl":"https://doi.org/10.1108/caer-11-2023-0323","url":null,"abstract":"PurposeThis study explores whether media coverage of Chinese food safety guide consumer behaviour and determines its impact.Design/methodology/approachUsing data from the China Family Panel Studies, this study implements unsupervised machine learning methods to quantitatively identify themes in news media coverage of food safety across various provinces and regions. Based on these findings, this study examines the impact of coverage of food safety on consumer behaviour related to FAFH.FindingsWe find that media coverage of food safety in the restaurant sector significantly decreases household expenditure on FAFH relative to total expenditure. While negative coverage substantially decreases expenditure on FAFH, non-negative coverage significantly increases it. Reports of food safety incidents outside consumers’ province are negatively correlated with expenditure on FAFH, whereas reports within province significantly increases such spending. Further, the negative impact of media coverage on FAFH spending is less pronounced among higher-income families, households headed by individuals with high educational levels and those with low sensitivity to newspaper information. A robust government information infrastructure also mitigates this negative impact.Research limitations/implicationsThe findings have important policy reference value for promoting the healthy development of catering and other life services by improving news reporting and the regulatory system.Originality/valueThis article employs machine learning methods to identify news reports related to food safety in the catering industry quantitatively and incorporates them into the study of household consumption in China. Consequently, this not only fills a gap in the existing literature but also provides a new perspective for interdisciplinary research in economics, sociology and computer science.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141919452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What does it take to revolutionize Chinese diets: evidence from a choice experiment on urban Chinese consumers","authors":"Kevin Z. Chen, Luyun Yu, Wen Lin, David L. Ortega","doi":"10.1108/caer-04-2023-0079","DOIUrl":"https://doi.org/10.1108/caer-04-2023-0079","url":null,"abstract":"PurposeThe purpose is to understand the factors affecting Chinese diet selections and propose strategies for revolutionizing Chinese diets toward healthy ones.Design/methodology/approachThis study implemented an online discrete choice experiment to identify the factors affecting diet selections among urban Chinese consumers. Four different diet patterns were used to label each of the product alternatives in the experiment, which varied in taste and cost. Specifically, implying the healthiness and sustainability of a diet, the diet alternatives included the average diet, the Chinese Food Guide Pagoda diet, the EAT-Lancet diet and the Flexitarian diet. Using consumer data from six provincial capital cities, we used random parameter logit models to estimate their preferences.FindingsDiet type and diet cost were found to be more important in urban Chinese consumers' diet selections than the ability to customize taste. The average diet, although not healthy and sustainable, was preferred most by respondents, signaling the challenges of shifting the consumer diet in China. Increasing the cost of the average diet can significantly promote sustainable healthy diet choices among urban Chinese residents. In other words, improving the affordability of sustainable healthy diets would have the potential to fuel the diet revolution in China.Originality/valueInstead of choices of a single food item, this paper focused on the individual selection of a diet, where different food products can act as substitutes or as complements for one another. We also proposed a way to assess individual preferences and valuations for several different diets.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the quality grading system matter? Chinese consumer response to pork quality grading labels and the impact of information","authors":"Qinyuan Shen, Zhifeng Gao, Zhanguo Zhu","doi":"10.1108/caer-12-2023-0364","DOIUrl":"https://doi.org/10.1108/caer-12-2023-0364","url":null,"abstract":"PurposeA meat quality grading system is essential to meet consumers' increasingly diversified demand for food quality in the global market. This study aims to determine the effectiveness of the upcoming Chinese quality grading labels and examine the information effect of labeling standards on pork consumption choices.Design/methodology/approachUsing an online survey with choice experiments, this study estimates consumer valuation for the fat thickness of different pork primal cuts by simulating three scenarios. Generalized mixed logit models in WTP space are used to analyze the choice experiment data.FindingsChinese consumers prefer lean pork to fatty pork and this preference does not vary significantly between primal cuts. Consumer valuation for ungraded high-quality (lean) pork increases after the implementation of the quality grading. Meanwhile, they are willing to pay high premiums for labeled pork (including level 1, 2, 3), and there are higher premiums for pork with higher levels. Besides, incomplete information on labeling standards could achieve more premiums for pork than relatively complete information.Originality/valueThis study pays attention to essential but few-noticed pork quality grading. The findings provide references for pork industry practices and policy-making of the meat quality grading system in China and globally by examining incomplete and relatively complete information effects on consumer choices.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141643417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-tariff and tariff impediments affecting spatial competition between the United States and Brazil for soybean shipments to China","authors":"William W. Wilson, David W Bullock","doi":"10.1108/caer-12-2023-0373","DOIUrl":"https://doi.org/10.1108/caer-12-2023-0373","url":null,"abstract":"PurposeThis study’s purpose is to analyze the effects of trade interventions and non-tariff impediments between the exporters (the United States and Brazil) and China for soybean trade.Design/methodology/approachA spatial model is developed and solved using an optimized Monte Carlo simulation (OMCS) and is used to minimize the costs of supplying soybeans to China. The costs included the origin basis; transportation to ports, including trucks, railways and barges; demurrage; and ocean freight. The sum of these charges determines the delivered costs to China from each origin. Most variables are random and correlated. Time-series distributions are based on historical data. Production and exports are highly seasonal and important.FindingsBase-case flows are highly seasonal, are risky and reflect actual trade. Sensitivities illustrate the effects of mitigating the quality differentials and interpreting a term of the Phase One agreement that purchases would be made so long as the prices are competitive. The results are also used to illustrate the influence of diversifying from the United States as a supplier. Finally, the policy implications are discussed.Research limitations/implicationsRemoving the quality discounts for US soybeans raises the US market share by 9%. These results also illustrate that diversification of supply sources is important for the importing country. Indeed, if China were to pursue less diversification import costs and/or risks would escalate. Hence, these results suggest that diversification is an appealing element of an import strategy. The results suggest a large distribution of prices and costs, particularly in Brazil. On average, the United States is most likely to be competitive for only a few months of the year, and the results are highly seasonal.Practical implicationsCompetition in supplying soybean to China is extremely competitive and the underlying factors impacting spatial competition are risk, correlated and spatially dependent. In addition to these, there are quality differences, and there are trade policies and strategies that affect competition. The empirical model and results illustrate the intensity of competition in this market as well the impacts of these non-tariff barriers and trade strategies in this market.Social implicationsImportant policies have been taken and continue to be under review regarding competition and trade among these countries. These results illustrate the impacts of these policies on market shares and competition.Originality/valueThis problem is important to the world soybean trading sector, and the methodology captures important seasonal and random variables that affect trade flows. The OMCS model is appropriate for this problem and has only been used minimally in the recent literature about commodity trade.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When cobweb meets oligopoly","authors":"Qianqian Zhang, Faqin Lin, Xiuqing Wang, Xian Xin","doi":"10.1108/caer-01-2024-0005","DOIUrl":"https://doi.org/10.1108/caer-01-2024-0005","url":null,"abstract":"PurposeThe purpose of this paper is to present an oligopolistic version of the cobweb model that departs from the strict assumptions of perfect competition in the traditional cobweb model.Design/methodology/approachIntroducing a model where n identical producers engage in Cournot competition, with output decisions influencing market prices. The paper retains the original assumptions of naive expectations and a linear model where price expectations of Cournot competitors are made simultaneously with production decisions. The investigation focuses on the model's behavior as the number of producers decreases or industry concentration increases. The authors also show empirical evidence when drawing the data from the pig sector in China and the USA.FindingsThe findings indicate that the cobweb model undergoes a transition from divergent to continuous and even convergent as the number of producers decreases or industry concentration increases. The incorporation of costs related to entry and exit from the market contributes to achieving a more stable equilibrium state.Originality/valueThe cobweb model has been primarily studied in an idealized market structure of perfect competition, and the assumptions that they share are not obviously appropriate to many agriculture markets. This study presents an alternative version of the cobweb model in an oligopolistic market that relaxes the strict assumptions of perfect competition. The authors show the dynamics of reduced competitor numbers or increased industry concentration on the convergence of the cobweb model based on subtle variations in parameters.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rural–urban differences in the intergenerational transmission of cognitive capabilities in China: evidence from a Northwestern province of China","authors":"Lei Wang, Dorien Emmers, S. Sylvia, Yu Bai, Scott Rozelle","doi":"10.1108/caer-12-2023-0374","DOIUrl":"https://doi.org/10.1108/caer-12-2023-0374","url":null,"abstract":"PurposeLiterature has shown that the intergenerational transmission of cognitive abilities is stronger for children raised in more advantaged environments. However, there has never been an empirical investigation of this pattern in China. This study examines differences in the intergenerational transmission of cognitive capabilities among mothers and young children in urban and rural subpopulations in China and investigates whether these differences are driven by differences in parental investment in the home environment.Design/methodology/approachData collected from randomly selected 6- to 36-month-old babies and their mothers in a Northwestern province in China was used. Child capabilities were assessed by the Bayley Scales of Infant and Toddler Development (3rd edition). Maternal intelligence quotient (IQ) scores were assessed with the Raven’s Progressive Matrices test. The non-parametric regression methods were used to construct the factor scores of child capabilities. The ordinary least squares (OLS) models were employed to investigate the relations between child cognition, maternal IQ and parental investment.FindingsIn urban households, where most children are raised in a positive home environment, child cognitive scores are strongly correlated with maternal IQ. In rural households, where parental investments are lower and more variable, child cognitive scores are not significantly correlated with maternal IQ but are predicted by differences in parental investments in a cognitively stimulating home environment.Originality/valueThis study provides a unique contribution by utilizing rural–urban disparities in China as a unique natural experiment to investigate differences in the transmission of cognitive capabilities across socioeconomic status (SES). It also provides the first empirical evidence of SES differences in the intergenerational transmission of cognitive capabilities in a developing country. This study reveals that intergenerational mother–child cognition associations are disrupted by poor parental investment in rural households but not in urban households.","PeriodicalId":10095,"journal":{"name":"China Agricultural Economic Review","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}