农业经济与管理Agricultural Economics and Management
Nutrition poverty alleviation is an effective measure to improve the nutritional status of economically disadvantaged individuals, fundamentally improving their health and reducing poverty. Based on the Entitlement Theory and using the China Health and Nutrition Survey (CHNS) data, this paper examines the relationship between farmers’ nutritional intake, production structure and regional market conditions. Results show that farmers with diversified production have better nutritional intake than those who specialize. Furthermore, the correlation between regional market conditions and nutritional intake varies between economically disadvantaged and non-economically disadvantaged households. Market conditions significantly influence the carbohydrate and fat intake of economically disadvantaged households and are positively associated with the dietary structure and nutritional intake of non-economically disadvantaged ones. Moreover, income is positively correlated with the nutritional intake of non-economically disadvantaged households but not with economically disadvantaged ones.
Whether promoting cash crop production can increase household welfare has long been the focus of the food policy debate. This study first investigated the determinants of household behavior in commercial pulse farming. It then examined how households’ commercial pulse production improves their economic welfare. We used a dataset of 848 households collected from 2018 to 2019 to estimate the determinants of household behavior in commercial pulse farming by the Heckman two-step model. The endogenous treatment regression (ETR) method was employed to examine the impact of commercial pulse farming on household economic welfare. The results showed that factors such as market purchase prices, agricultural technology services, farmers’ access to loans, and government subsidies promoted smallholders’ commercial pulse farming; production costs and perceptions of climate change risks constrained smallholders’ commercial pulse production. Overall, commercial pulse production has increased household farm income but there was a limited impact on household off-farm income. Our findings suggest that policies aiming to increase households’ cash crop production and market access could significantly improve the economic welfare of pulse farmers.Whether promoting cash crop production can increase household welfare has long been the focus of the food policy debate. This study first investigated the determinants of household behavior in commercial pulse farming. It then examined how households’ commercial pulse production improves their economic welfare. We used a dataset of 848 households collected from 2018 to 2019 to estimate the determinants of household behavior in commercial pulse farming by the Heckman two-step model. The endogenous treatment regression (ETR) method was employed to examine the impact of commercial pulse farming on household economic welfare. The results showed that factors such as market purchase prices, agricultural technology services, farmers’ access to loans, and government subsidies promoted smallholders’ commercial pulse farming; production costs and perceptions of climate change risks constrained smallholders’ commercial pulse production. Overall, commercial pulse production has increased household farm income but there was a limited impact on household off-farm income. Our findings suggest that policies aiming to increase households’ cash crop production and market access could significantly improve the economic welfare of pulse farmers.
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
The research aimed to understand farmers’ willingness to adopt (WTA) and willingness to pay (WTP) for precision pesticide technologies and analyzed the determinants of farmers’ decision-making. We used a two-stage approach to consider farmers’ WTA and WTP for precision pesticide technologies. A survey of 545 apple farmers was administered in Bohai Bay and the Loess Plateau in China. The data were analyzed using the double-hurdle model. The results indicated that 78.72% of respondents were willing to apply precision pesticide technologies provided by service organizations such as cooperatives and dedicated enterprises, and 69.72% were willing to buy the equipment for using precision pesticide technologies. The results of the determinant analysis indicated that farmers’ perceived perceptions, farm scale, cooperative membership, access to digital information, and availability of financial services had significant and positive impacts on farmers’ WTA precision pesticide technologies. Cooperative membership, technical training, and adherence to environmental regulations increased farmers’ WTP for precision pesticide technologies. Moreover, nonlinear relationships between age, agricultural experience, and farmers’ WTA and WTP for precision pesticide technology services were found.
Farmers’ contract breach behavior is cited as one of the major stumbling blocks in the sustainable expansion of contract farming in many developing countries. This paper examines farmers’ contract breach decisions from the perspective of time preferences. The empirical analysis is based on a household survey and economic field experiments of poultry households participating in contract farming conducted in Jiangsu Province, China. A discounted utility model and a maximum likelihood technique are applied to estimate farmers’ time preferences and the effect of time preferences on contract breach in the production and sales phases are explored with a bivariate probit model. The results show that, on average, the poultry farmers in the sample are generally present biased and impatient regarding future utility. The regression results show that farmers with a higher preference for the present and a higher discount rate are more likely to breach contracts, and time preferences play a greater role in the production phase than in the sales phase. When considering heterogeneity, specific investments and transaction costs promote contract stability only for farmers with a low degree of impatience. Moreover, compared with large-scale farmers, small-scale farmers’ contract breach decisions are more significantly affected by their time preferences. These results have implications for contract stability policies and other issues that are impacted by the linking of behavioral preferences to agricultural decisions.
The accurate prediction of soybean yield is of great significance for agricultural production, monitoring and early warning. Although previous studies have used machine learning algorithms to predict soybean yield based on meteorological data, it is not clear how different models can be used to effectively separate soybean meteorological yield from soybean yield in various regions. In addition, comprehensively integrating the advantages of various machine learning algorithms to improve the prediction accuracy through ensemble learning algorithms has not been studied in depth. This study used and analyzed various daily meteorological data and soybean yield data from 173 county-level administrative regions and meteorological stations in two principal soybean planting areas in China (Northeast China and the Huang–Huai region), covering 34 years. Three effective machine learning algorithms (K-nearest neighbor, random forest, and support vector regression) were adopted as the base-models to establish a high-precision and highly-reliable soybean meteorological yield prediction model based on the stacking ensemble learning framework. The model’s generalizability was further improved through 5-fold cross-validation, and the model was optimized by principal component analysis and hyperparametric optimization. The accuracy of the model was evaluated by using the five-year sliding prediction and four regression indicators of the 173 counties, which showed that the stacking model has higher accuracy and stronger robustness. The 5-year sliding estimations of soybean yield based on the stacking model in 173 counties showed that the prediction effect can reflect the spatiotemporal distribution of soybean yield in detail, and the mean absolute percentage error (MAPE) was less than 5%. The stacking prediction model of soybean meteorological yield provides a new approach for accurately predicting soybean yield.
Water diversion can alleviate water shortages caused by the uneven distribution of water resources. China’s South-to-North Water Diversion Project (SNWD) is the largest water diversion project worldwide. Based on the prefecture-level data of China’s Huang-Huai-Hai Plain from 2000 to 2020, this study employs an empirical strategy of Differences-in-Differences (DID) to analyze the impact of SNWD on agricultural production. The results show that SNWD has significantly increased agricultural production, measured by the agricultural value added. The estimated results of the benchmark model remain robust when the contemporaneous policy is addressed, an alternative outcome is used, subsamples are estimated, and alternative estimation techniques are employed. This study argues that the potential impact mechanism may be that SNWD significantly increases the acreage for cash crops but reduces that for grain crops. Heterogeneity analysis shows that in prefectures with high temperature or land potential, SNWD’s impact on agricultural value added is relatively low. In contrast, in areas with prolonged sunshine or high slopes, SNWD’s impact on agricultural value added is relatively large. Given the low added value of grain crops, the government should consider strengthening food security by subsidizing water supply to sustain grain production.
Based on the microdata of 705 wheat farmers in the Loess Plateau, this study empirically analyzes the impact of uncertainty on farmers’ adoption of innovative seeds using a field experiment. The results indicate that farmers are generally ambiguity-averse and risk-averse. In addition, farmers with higher ambiguity aversion and risk aversion are less likely to adopt innovative wheat seeds, where their risk aversion plays a dominant role. Enhancing information access will alleviate the negative influence of ambiguity aversion on farmers’ adoption of innovative seeds, and interlinked insurance and credit contracts will be beneficial to ease the adverse effect of risk aversion on the adoption of innovative wheat seeds. Meanwhile, heterogeneity analysis reveals that the inhibitory effects of ambiguity aversion and risk aversion on innovative seed adoption are more significant among farmers with lower education and household income. The government can establish both ex-ante and ex-post relevant guarantee mechanisms to help farmers preferably cope with various uncertainties in the production process, remitting farmers’ ambiguity aversion and risk aversion to enhance new agricultural technology adoption rates.
Reducing agricultural carbon emissions is important to enable carbon emission peaking by 2030 in China. However, China’s transformation towards large-scale farming brings uncertainties to carbon emission reduction. This study quantifies the carbon emissions from cropping based on life cycle assessment and estimates the effects of farm size on carbon emissions using a fixed effects model. Furthermore, the variations of the carbon emissions from cropping driven by the changes in farm size in future years are projected through scenario analysis. Results demonstrate an inverted U-shaped change in total carbon emission from cropping as farm size increases, which is dominated by the changes in the carbon emission from fertilizer. Projections illustrate that large-scale farming transformation will postpone the peak year of total carbon emission from cropping until 2048 if the change in farm size follows a historical trend, although it is conducive to reducing total carbon emission in the long run. The findings indicate that environmental regulations to reduce fertilizer usages should be strengthened for carbon emission abatement in the early stage of large-scale farming transformation, which are also informative to other developing countries with small farm size.
Effects of formal credit on pastoral household expense: Evidence from the Qinghai–Xizang Plateau of China
Can whole steps of grain production be outsourced? Empirical analysis based on the three provinces of Jiangsu, Jilin, and Sichuan in China
Certain outsourcing services for agricultural management in China, such as pest control in grain production, have experienced prolonged sluggishness, contrasting with the relatively high level of outsourcing services observed in harvesting, land preparation, and sowing. This study examines the feasibility of implementing whole-step outsourcing in grain production by conducting a case study of rice and maize production in Jiangsu, Jilin, and Sichuan provinces in China. The provision of outsourcing services hinges on two essential conditions: technological advancements fostering specialized production and economies of scale, coupled with a market size sufficient to realize the aforementioned potential economies of scale. The results showed that outsourcing pest control or harvesting services had varying economies of scale. The outsourcing services in pest control were less common than in harvesting services, and their marginal growth space of the economies of scale with technological change was also smaller. Determined by the operational characteristics of pest control itself, the market scale of its professional services is small. Therefore, achieving the whole-step outsourcing of grain production necessitates not only technological innovation but also effective policy interventions to overcome the constraints of market scale. Such interventions include (1) optimizing crop layouts between planning regions and reducing land fragmentation and (2) supplying timely and effective inter-regional agricultural information for service providers aided by information technology.
Impacts of agri-food e-commerce on traditional wholesale industry: Evidence from China
Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market. However, the interaction between agri-food e-commerce (AEC) and the traditional agri-food wholesale industry (AWI) has not received enough attention in the existing literature. Based on the provincial panel data from 2013 to 2020 in China, this paper examines the effect of AEC on AWI, comprising three dimensions: digitalization (DIGITAL), agri-food e-commerce infrastructure and supporting services (AECI), and agri-food e-commerce economy (AECE). First, AWI and AEC are measured using an entropy-based combination of indicators. The results indicate that for China as a whole, AWI has remained practically unchanged, whereas AEC exhibits a significant rising trend. Second, the findings of the fixed-effect regression reveal that DIGITAL and AECE tend to raise AWI, whereas AECI negatively affects AWI. Third, threshold regression results indicate that AECI tends to diminish AWI with three-stage inhibitory intensity, which manifests as a first increase and then a drop in the inhibition degree. These results suggest that with the introduction of e-commerce for agricultural product circulation, digital development will have catfish effects that tend to stimulate the vitality of the conventional wholesale industry and promote technical progress. Furthermore, the traditional wholesale industry benefits financially from e-commerce even while it diverts part of the traditional wholesale circulation for agricultural products.
How to enhance agricultural plastic waste management in China? Insights from public participation
Agricultural plastics play a pivotal role in agricultural production. However, due to expensive costs, agricultural plastic waste management (APWM) encounters a vast funding gap. As one of the crucial stakeholders, the public deserves to make appropriate efforts for APWM. Accordingly, identifying whether the public is willing to pay for APWM and clarifying the decisions’ driving pathways to explore initiatives for promoting their payment intentions are essential to address the dilemma confronting APWM. To this end, by applying the extended theory of planned behavior (TPB), the study conducted an empirical analysis based on 1,288 residents from four provinces (autonomous regions) of northern China. Results illustrate that: 1) respondents hold generally positive and relatively strong payment willingness towards APWM; 2) respondents’ attitude (AT), subjective norm (SN), and perceived behavioral control (PBC) are positively correlated with their payment intentions (INT); 3) environmental cognition (EC) and environmental emotion (EE) positively moderate the relationships between AT and INT, and between SN and INT, posing significant indirect impacts on INT. The study’s implications extend to informing government policies, suggesting that multi-entity cooperation, specifically public payment for APWM, can enhance agricultural non-point waste management.
Temporal and spatial evolution of global major grain trade patterns
Food security is a strategic priority for a country’s economic development. In China, high-standard farmland construction (HSFC) is an important initiative to stabilize grain production and increase grain production capacity. Based on panel data from 31 sample provinces, autonomous regions, and municipalities in China from 2005–2017, this study explored the impact of HSFC on grain yield using the difference-in-differences (DID) method. The results showed that HSFC significantly increased total grain production, which is robust to various checks. HSFC increased grain yield through three potential mechanisms. First, it could increase the grain replanting index. Second, it could effectively reduce yield loss due to droughts and floods. Last, HSFC could strengthen the cultivated land by renovating the low- and medium-yielding fields. Heterogeneity analysis found that the HSFC farmland showed a significant increase in grain yield only in the main grain-producing areas and balanced areas. In addition, HSFC significantly increased the yields of rice, wheat, and maize while leading to a reduction in soybean yields. The findings suggest the government should continue to promote HSFC, improve construction standards, and strictly control the “non-agriculturalization” and “non-coordination” of farmland to increase grain production further. At the same time, market mechanisms should be used to incentivize soybean farming, improve returns and stabilize soybean yields.
Impacts of information about COVID-19 on pig farmers’ production willingness and behavior: Evidence from China
This paper examines the impacts of information about COVID-19 on pig farmers’ production willingness by using endorsement experiments and follow-up surveys conducted in 2020 and 2021 in China. Our results show that, first, farmers were less willing to scale up production when they received information about COVID-19. The information in 2020 that the second wave of COVID-19 might occur without a vaccine reduced farmers’ willingness to scale up by 13.4%, while the information in 2021 that COVID-19 might continue to spread despite the introduction of vaccine reduced farmers’ willingness by 4.4%. Second, farmers whose production was affected by COVID-19 were considerably less willing to scale up, given the access to COVID-19 information. Third, farmers’ production willingness can predict their actual production behavior.
Does Green Food Certification promote agri-food export quality? Evidence from China
The construction of a food certification system plays a vital role in upgrading export quality, which previous studies have largely overlooked. We match China’s industry-level data of Green Food Certification with its HS6-digit export data of agri-food products to quantify the impact of Green Food Certification on export quality. We identify the significant and positive effect of Green Food Certification on export quality. The 2SLS estimation based on instrumental variables and a range of robustness checks confirm the validity and robustness of the benchmark conclusions. Further analysis discloses that Green Food Certification improves export quality by raising agricultural production efficiency and brand premiums. Heterogeneity analysis shows that the effect of Green Food Certification varies across regions, notably improving the quality of agri-food products exported to developed regions and regions with high levels of import supervision. Furthermore, among various product types, Green Food Certification significantly improves the export quality of primary products and products vulnerable to non-tariff measures. The above findings could guide the future development of agri-food quality certification systems, potentially leading to a transformation and promotion of the agri-food trade.
The multiple roles of crop structural change in productivity, nutrition and environment in China: A decomposition analysis
China’s crop structure has undergone significant changes in the last two decades since 2000, with an increase in the share of cereals, vegetables, and fruit, squeezing out other crops. As a result, land productivity, nutrient supply, and carbon emissions have changed. How to reallocate limited farmland among crops to achieve the multiple goals of agrifood systems becomes an important issue. This study explores the sources of land productivity and nutrition supply growth and carbon emissions reduction, and identifies the multiple roles of crop structural change from 2003 to 2020 based on a decomposition analysis. The results reveal that the growth within crops is still the primary driver in land productivity and nutrition supply and the reduction in carbon emissions. However, structural change also plays various roles at different periods. From 2003 to 2010, crop structural change increased the total calorie supply but lowered land productivity and contributed at least 70% of the total growth of carbon emissions. The crop structure was relatively stable, and their effects were modest from 2010 to 2015. From 2015 to 2020, the crop structural change began to play a greater role and generate synergistic effects in improving land productivity, micronutrient supply, and reducing carbon emissions, contributing to approximately a quarter of the growth of land productivity and 30% of total carbon emissions reduction. These results suggest that strategies for crop structural change should comprehensively consider its multiple impacts, aiming to achieve co-benefits while minimizing trade-offs.
Are gender inclusiveness and rural transformation interlinked? The case of Bangladesh
Gender inclusiveness is important in the rural transformation process of Bangladesh as rural women play key roles in both agricultural and non-agricultural sectors. Gender inclusiveness also leads to gender equity. We empirically evaluate relationships between rural transformation and gender inclusiveness in Bangladesh. We consider three rural transformation indicators: high-value commodities’ share in agricultural output values, non-farm employment’s share in rural labor employment, and non-agricultural GDP’s share in total GDP. Indicators capturing gender inclusiveness include the per capita rural income of males and females, ratio of investments into gender programs, female access to education, access to healthcare, employment participation, land ownership, and asset ownership. We test the effect of the difference in per capita rural income of males and females and the ratio of their incomes and check for the robustness of the gender variables across different model specifications. Analyzing 128 district-level observations from 32 districts of Bangladesh across four time periods (2000, 2005, 2010 and 2016), we use both ordinary least squares and fixed effects panel regression models. We find that female land and asset ownership and access to education and healthcare are robust determinants of various stages of rural transformation. Thus, our results suggest that improving women’s ownership of land and assets and investing in women’s education and healthcare will likely contribute to a more inclusive rural transformation.
Rice production is crucial for food security in China, and its relationship with rural labor migration has been studied extensively. Labor migration in rural China has taken new forms in recent years. There has been a discernible trend wherein adult children have started migrating to cities while their elderly parents return to villages to re-engage in on-farm work. The phenomenon has notably shaped the intergenerational division of labor (IDL) within households. However, it remains to be seen how farmers adjust their rice production systems in response to the IDL. The age of 60 years for employment injury insurance is the eligibility threshold for off-farm employment and is used to obtain a source of exogenous variation in the IDL. Based on a representative household survey of 1,752 rice farmers in the Hubei Province of Central China, our fuzzy regression discontinuity analysis reveals that farmers in IDL households are more likely to adopt ratoon rice (RR) than single cropping rice (SR) or double cropping rice (DR). The effect of the IDL varies under different levels of operational scales and specialized agricultural service availability. Further analysis suggests that farmers’ arrangements are associated with two potential mechanisms of downward intergenerational transfer. Monetary transfer for urban housing purchases increases RR in IDL households, and time transfer for intergenerational childcare significantly promotes SR in IDL households. This study enhances the understanding of the relationship between rural labor migration and rice production in China, providing a reference for adjusting rice production systems to ensure food security.
This study investigates the factors that impact farmers’ adoption of risk management strategies (RMS) in Pakistan during times of uncertainty. The study examines farmers’ adoption of RMS using both multinomial probit (MNP) and multivariate probit (MVP). Data were collected from 382 farmers sampled from four districts in Khyber-Pakhtunkhwa (KP) province of Pakistan via a multistage sampling technique. This study utilizes the MNP model, considering the assumption of Independence of Irrelevant Alternatives (IIA) and incorporating correlated error terms. The objective is to understand farmers’ behavior in risky situations and determine if there is heterogeneity. Results are compared with the MVP model to assess robustness and gain deeper understanding of farmers’ decision-making processes. The research findings reveal that our results are robust, and farmers behave homogeneously in various RMS scenarios. Farmers adopt RMS individually or in combination to mitigate the adverse effects of natural calamities on their livelihood. The risk-averse farmers, who perceive weather-related risks as a threat, access credits and information, and have farms close to a river are more likely to adopt RMS, irrespective of the format of the strategies available. Moreover, the predicted probabilities and correlation of the RMS and RM categories have strengthened our model estimation. These findings provide insights into the behavior of farmers in adopting RMS which are helpful for policymakers and stakeholders in developing strategies to mitigate the impacts of natural calamities on farmers.
Using scanner data on the consumption of packaged liquid beverages by Chinese urban households, we estimated the price elasticity of various beverages and compared the effects of volume-based versus sugar-content-based taxation strategies on consumer welfare. Compared to the volume-based tax, the sugar-content-based beverage tax was predicted to cost less in compensating variation under the same amount of sugar reduced, indicating that taxation based on sugar content may be more efficient in preserving consumer welfare. Further comparison across different socioeconomic groups reveals that, given current beverage consumption status in China, the efficiency advantage of the sugar-content-based taxation strategy is more pronounced than that of the volume-based taxation. Our conclusions can provide insights for the food industry and the government to reduce the sugar content in beverages.
Payment for Ecosystem Services (PES) has been widely acknowledged as an effective tool for mitigating grassland degradation and enhancing ecosystem services provision. However, critical factors, such as herders’ willingness to accept (WTA) preferences and compensation expectations, are often overlooked, leading to insufficient effectiveness of PES initiatives. This study focused on grassland ecological compensation policy (GECP), quantifying herders’ WTA compensation for grassland grazing bans. Through face-to-face surveys and employing the contingent valuation method, we estimated households’ WTA for participating in a grassland conservation program to bolster ecosystem service provision. Our findings indicated that herders required an average compensation of 237 CNY mu–1 yr–1 to engage in the grazing ban program. Notably, herders’ environmental awareness positively influenced their willingness to participate, whereas larger family sizes were negatively correlated with WTA. Additionally, herders in better health, with higher livestock incomes or categorized as semi-herders, tended to accept lower compensation levels. These insights are crucial for improving the effectiveness of GECP and provide valuable reference points for similar analyses in economically disadvantaged and ecologically fragile regions.