Agricultural Production Services Research Articles

Crop Height Estimation Based on a Novel Semi-Empirical Model Considering Double-Bounce Scattering Using RADARSAT-2 PolSAR Data

Abstract. Obtaining precise and rapid crop height is essential to facilitate agricultural production services, field management, disaster monitoring, and yield assessment. With the capability to penetrate vegetation and record vertical structure information, Polarimetric Synthetic Aperture Radar (PolSAR) holds significant potential for application in vegetation height inversion. The Water Cloud Model (WCM) and its enhanced versions are extensively utilized for estimating crop heights from PolSAR data owing to their physical significance and simplicity. However, the method is not practical for stalk crops due to the neglect of double-bounce scattering considerations. Therefore, according to the growth characteristics of stalk crops, a three-component polarimetric coherent backscattering model considering crop target double-bounce scattering is established by simplifying the Random Volume over Ground (RVoG) coherent scattering model. The empirical coefficient is introduced to simplify the model into a semi-empirical for crop height inversion. The suitability of applying the RVoG-B three-component model for crop height inversion at the early stage in corn fields was assessed using Multi-temporal C-band PolSAR RADARSAT-2 data in three polarimetric channels. The results show that the HV channel exhibits superior potential in inverting the height of corn compared with the HH and the VV channels. The results of corn height inversion demonstrate that the RVoG-B three-component semi-empirical model performs effectively in estimating corn height, with its inversion accuracy having an RMSE ranging from 11.66cm to 24.51cm. This study demonstrates the potential application of the RVoG-B three-component semi-empirical model for inverting crop height at the early stage dominated by double-bounce scattering.

The Influence of Digital Literacy on the Phenomenon of Deviation between Farmers’ E-Commerce Sales Willingness and Behavior: Evidence from Rural China

E-commerce, as a prominent feature of the digital economy era, is highly expected to promote economic growth and sustainable development. Based on the 2020 “China Rural Revitalization Survey” data, this study empirically analyzed the impact and mechanism of digital literacy on the discrepancy between the willingness and behavior of farmers in e-commerce sales. Eleven indicator items were selected, and factor analysis was used to obtain the comprehensive score of digital literacy. Firstly, benchmark regression was performed using the probit model, and then potential endogeneity issues were addressed using the IV probit method and endogenous conversion probit model. The following main conclusions were drawn: Digital literacy has a suppressive effect on the deviation between the willingness and behavior of farmers in e-commerce sales. Farmers with media operation literacy, information acquisition literacy, digital transaction literacy, e-commerce cognitive literacy, and digital social literacy have a 12.3%, 18.3%, 26.2%, 37.5%, and 21.9% reduction in the probability of deviation between the willingness and behavior of farmers in e-commerce sales compared to those without these literacy counterfactual assumptions. Digital literacy helps curb the deviation between farmers’ willingness and behavior in e-commerce sales by facilitating their access to financial resources and agricultural production services. This study demonstrates that enhancing the digital literacy of farmers will promote their willingness to convert e-commerce sales into behavior, help promote sustainable agricultural products more efficiently, and make important contributions to economic growth and sustainable development.

Does internet use promote agricultural green development?Evidence from China

Based on the panel data of CFPS2016, 2018 and 2020 as samples, this paper empirically investigates the green development effect of internet use on farmers from the perspective of agricultural green total factor productivity. The research shows that farmers' internet use has significantly promoted the improvement of agricultural green total factor productivity. The mechanism analysis shows that farmers' internet use promotes the improvement of agricultural green total factor productivity in two ways: land transfer and adoption of agricultural production services. The threshold effect analysis shows that it is only when the level of human capital exceeds the threshold that farmers' internet use can have a positive impact on agricultural total factor productivity. The expansion analysis shows that in the context of urbanisation and marketization development, there is a substitution effect between urban development and internet use by rural households in the eastern region, and a complementarity effect between urban development and internet use by rural households in the central and western regions.

Valuation of agricultural production and pollination services in palm trees (Arecaceae) in the Amazon forest

Valuation of agricultural production and pollination services in palm trees (Arecaceae) in the Amazon forest

Family Net Income, Input Factor Prices and Agriculture Services Selection Behavior of Maize Farmers

Scaling service operations is an effective way to promote modernization among small farmers. Exploring the factors influencing grain farmers’ choices in selecting services is essential to promote the strong development of the agricultural production service market and improve the efficiency of agricultural operations in China. Based on the 2019 data on corn farmers in the China Rural Revitalization Survey (CRRS) database, and using the Double-Hurdle Model, the factors influencing the service selection behavior of corn farmers are explored, and the research conclusions are as follows: (1) agricultural service prices have a negative impact on the demand for agricultural services, which varies from service to service; (2) labor prices do not influence the demand for any kind of service; (3) land circulation rents have a negative impact on the demand for agricultural services, which varies from service to service; (4) a high family net income can significantly prompt the adoption of agricultural services, which varies from service to service; (5) small-scale farmers are more sensitive to changes in service prices than large-scale farmers; (6) the four economic factors have no effect on the sowing service market. Based on the above conclusions, this paper puts forward suggestions such as improving the market price mechanism for agricultural production services, and increasing subsidies related to agricultural production services.

Effects of Silicon Application on Nitrogen Migration in Soil–Rice Systems under Cadmium Stress

Cadmium (Cd) contamination is a serious threat to plants and humans, which subsequently impairs sustainable agricultural production and ecosystem service. Silicon (Si) has been applied to mitigate Cd toxicity, but inevitably has direct and indirect impacts on nitrogen (N) behaviors in soil and plants. However, what role plants play in the N response to Si in soil–rice systems under Cd stress is not known. Therefore, the effects of Si on N migration through different pathways in the soil-rice system were systematically investigated in a rice-cultivation lysimeter experiment. The rice was planted in Cd-contaminated (5 mg kg−1) and uncontaminated soils with three levels of Si application (0, 100, and 200 kg SiO2 hm−2), and the contents of N and Cd in different forms in plants and soils were measured. The group without Cd and Si was set as CK. The study reported that Cd stress caused Cd accumulation in plants, inducing a decrease of 26.0~83.4% in plant dry weights and a decrease of 15.7~46.6% in N concentration compared with CK. Moreover, the leaching of N in soils was increased by Cd, in which the NO3−-N rather than the NH4+-N was leached out. These adverse effects on the plant growth and soil N loss were significantly alleviated by Si application in two ways: (1) the Cd availability in soils was reduced with the acid-extractable Cd (the Cd form with high mobility), decreasing from 1.07 to ~0 mg kg−1; (2) the Cd uptake and translocation in plants were restricted, with the Cd content decreasing by 59.1~96.4% and the translocation index decreasing from 17.7% to 2.2%. The combination of the two mechanisms consequently increased the N absorption of plants from 1.35 to 2.75~3.5 g. The results of the N mass balance calculation showed that, compared with soil N flux, plant-absorbed N contributed predominantly (43.9~55.6%) to the soil total N variation. Moreover, there is a significant trade-off between plant-absorbed N and soil N flux. The magnitude and direction of the soil N flux were greatly and negatively affected by plant-absorbed N during the flooding period. Hence, we conclude that Si application could reduce the leaching of N in soil–rice systems under Cd stress, mainly due to the promotion of the N absorption of plants rather than N immobilization in soils. This study provided new evidence that plants played a dominant role in N response to Si in soil-rice systems under Cd stress.

The Impact of Agricultural Factor Inputs, Cooperative-Driven on Grain Production Costs

The problem of high grain production costs, which is not conducive to sustainable agricultural development and food security, is highlighted in the context of China’s “large country and small household farmers”. Reducing the grain production costs through factor allocation and organizational drive has become particularly important. Based on 768-grain peasant households in China, this paper uses OLS regression and robust regression to examine the effects of agricultural factor inputs and cooperatives on grain production costs. It analyzes the synergistic and substitution effects between farmers’ factor inputs and cooperatives in grain production. It was found that: (1) in farmers’ grain production, reductions in the grain production costs can be realized by expanding the area under cultivation, improving the use of agricultural machinery, and increasing technological inputs; (2) a reduction in the grain production costs can also be realized through cooperatives driving farmers into grain production; (3) cooperatives can provide farmers with various types of agricultural production services in grain production and cooperative-driven substitution effects between the agricultural factor inputs of farm households. The findings of this paper contribute to the enrichment of research in the field of agricultural production and are important for enhancing agricultural sustainability and reducing grain production costs.

Using modern portfolio theory to enhance ecosystem service delivery: A case study from China

：Land management strategies often prioritize agricultural supply services at the expense of other ecosystem services. To achieve a high and steady supply of multiple ecosystem services, it is essential to optimize land management practices in areas suitable for agriculture. However, many studies on land management tend to focus on their benefits to ecosystem service delivery without adequately considering the potential risks to other services that might be involved. Here we use modern portfolio theory to quantitatively measure benefits and risks from land management strategies to enhance ecosystem services. We create seven land management scenarios that balance different kinds of ecosystem services in different ways in the agricultural production area of Maoming, Guangdong Province, China. The method yielded optimal portfolios of land management patterns that enhanced ecosystem services while reducing risk as much as possible. This includes a scenario delivering a 22% increase in agricultural production service, while simultaneously increasing the provision of nature-related ecosystem services by 2%. However, no optimization scenario was perfect, and there was always a trade-off between gaining certain ecosystem service benefits and creating a risk of losing others. Our portfolio theory approach reveals that it is essential to consider both the benefits and risks of land management strategies.

The Impact of Rural Industrial Integration on Agricultural Green Productivity Based on the Contract Choice Perspective of Farmers

Promoting farmers’ participation in rural industrial integration and driving farmers’ agricultural production with cooperatives and agribusinesses are conducive to realizing cost saving, efficiency, and green production and guaranteeing food security and sustainable agricultural development. Based on the microsurvey data of 1039 grain farmers in Henan Province, China in 2022, this paper examined the impact of contractual choices of farmers’ participation in rural industrial integration on agricultural green productivity while analyzing the mechanism of action by using OLS regression, a causal mediation analysis of instrumental variables, propensity score matching, and two-stage least squares (2SLS). The study found that: (1) farmers’ participation in a contract, driven by cooperatives or agribusinesses to carry out agricultural production, is conducive to improving their agricultural green productivity, but the effect of each main body to drive farmers varies; (2) farmers’ participation in a contract, through cooperatives or agribusinesses to obtain all kinds of agricultural production services—such as agricultural machinery services, agricultural supply services, and technical guidance services—improves the use of agricultural machinery, the standardization of chemical fertilizers, pesticides, and other agricultural materials’ use, increases technical guidance, and improves agricultural green productivity. The findings of this paper suggest policy and practical implications for safeguarding food security and promoting sustainable agriculture, as well as enriching research on agricultural productivity.

A Comparative Study of Immediate Annuities and Ordinary Annuities in establishing the Phantom of Zero Liability Under the Trusteeship Pension Valuation Structure

Background: The liabilities of a pension scheme define the financial value to be paid at a definite period in the future. The underlying goal of pension plans is to provide retirees with sufficient stream of income to enable them to live a decent financially independent life post-employment period. The regulatory framework for occupational pension schemes necessitates the services of trustees as administrators who assume legal administrative responsibilities on the scheme and saddled to oversee actuarial valuations of the scheme's liabilities at definite points in time. Objectives: The objective of this paper is (i) to empirically examine the drivers of pension liability and how they are evaluated by the trustee’s model. (ii) Specifically, the study intends to use input parameters of the trustee model to establish the conditions for which the value of liability is zero under trusteeship annuity factor. Methods: This study applies trustees’ valuation model, the present values together with infinitesimal calculus. Salary data as well as demographic data were obtained from an agricultural production services company located in Jos-South, Nigeria. Results: Computational evidence from our results proves that the total service liability under the conditions of the current model is vanishingly zero. However, when the annuity factor is replaced by life table annuity, the service liability does not vanish. Conclusion: The total service liability obtained as zero therefore initiates inquiry as to whether this current valuation framework causes potential uncertainties for the pension trustees who are responsibly saddled with both administration and core decision-making responsibilities of the system.

Can Agricultural Production Services Influence Smallholders’ Willingness to Adjust Their Agriculture Production Modes? Evidence from Rural China

The transformation of agricultural production modes is an inevitable trend in China’s agricultural development. It is important to study the willingness of smallholder farmers to adjust their agricultural production modes to promote the transformation of China’s agricultural production modes. Agricultural production services are an effective way to realize the organic linkage between smallholder farmers and modern agriculture. To analyze the impact of agricultural production services on smallholder farmers’ willingness to adjust their agricultural production modes, this study uses data from a thematic study of 590 smallholder farmers in the Huang–Huai–Hai regions in 2022 to measure the extent of smallholder farmers’ full-cycle adoption of agricultural production services from the perspective of regional cropping systems for the first time and analyzes the impact of agricultural production services on farmers’ willingness to adjust their agricultural production modes. The study results show that the extent of full-cycle adoption of agricultural production services significantly affects farmers’ willingness to adjust their agricultural production modes. For each unit increase in the extent of full-cycle adoption of agricultural production services in line with the regional cropping system, the probability of farmers choosing “farmland transfer” and “agricultural production trusteeship” becomes 11.31 and 7.24 times higher than that of choosing “self-growing”, respectively. Based on the research results, this paper proposes the following countermeasures: first, we should pay more attention to the supply and demand of agricultural production services, especially to support the key weak links in developing agricultural production services for the process of grain production. Second, we should undertake more active and effective publicity measures to make full use of expressions that are acceptable to farmers to improve their understanding of productive agricultural services further and enhance their willingness to adopt productive agricultural services.

Can Agricultural Socialized Services Promote the Reduction in Chemical Fertilizer? Analysis Based on the Moderating Effect of Farm Size.

On the basis of the data of 855 farmer households in the 2020 China Land Economic Survey, this paper uses an extended regression model to empirically study the impact of agricultural socialized services on the reduction in chemical fertilizer and the moderating effect of farm size in the above impact path. The results show that adoption of agricultural socialized services by farmers can significantly promote reduction in chemical fertilizer. The moderating effect test shows that the farm size is instrumental in strengthening the effect of promoting agricultural socialized services on the reduction in chemical fertilizer. The effect of technology-intensive services on fertilizer reduction was more pronounced than that of labor-intensive services. Agricultural socialized services have a greater effect on the reduction in chemical fertilizer for farmers with a higher degree of part-time employment, but farm size can significantly enhance the fertilizer reduction effect generated by the adoption of agricultural socialized services by farmers with a lower degree of part-time employment. Therefore, we recommend further developing agricultural socialized services, strengthening the supply of agricultural green production services, and playing the role of agricultural socialized services in chemical fertilizer reduction. We also posit that encouraging large-scale farmers to adopt agricultural socialized services would further promote fertilizer reduction.

The Impact of Part-Time Employment on the Grain-Growing Decisions of Smallholder Farmers in the Main Grain-Producing Areas of China Based on the Mediating Effect of Agricultural Production Services

Part-time farming is a common characteristic of smallholder farmers in China at present, which is expected to persist in the long term. If China is to promote sustainable agricultural development, it is important to consider the impact of part-time employment characteristics on the grain-growing decisions of smallholder farmers. To analyze the impact mechanisms of smallholder farmers’ part-time employment on their grain-growing decisions, we used data consisting of 14,539 samples collected by a survey of the former Chinese Ministry of Agriculture National Rural Fixed Observation Point from 2009 to 2015 to empirically analyze the effect of the extent of smallholder farmers’ part-time employment on their grain-growing decisions using a dynamic panel regression model. Then, we constructed a mediating effect test model using the dynamic panel regression model as the benchmark model in order to empirically test the mediating effect of the adoption of agricultural production services. The results are as follows: as the extent of smallholder farmers’ part-time employment grows, smallholder farmers significantly reduce the sown areas of wheat and corn; furthermore, the adoption of agricultural production services is an important mediating variable to curb the negative effects of the extent of smallholder farmers’ part-time employment on their grain-sowing areas, and the “Extent of Smallholder Part-time Employment (EPE)→Adoption of Agricultural Production Services→Grain-Planting Decisions” is an important path by which the extent of smallholder farmers’ part-time employment affects their grain-growing decisions. Notably, all of the findings passed the influence mechanism test and, after a robustness test, remained valid. Based on the research findings, we propose policy recommendations, suggesting that the construction of agricultural production service systems should be improved with the orientation of high-quality agricultural development; the minimum purchase prices of wheat and corn should be appropriately increased in order to ensure that smallholder farmers receive reasonable economic returns from growing grain; and the attractiveness of growing grain to smallholder farmers should be improved.

Impact of structure and organization of smallholders on agricultural carbon emissions

Achieving carbon neutrality in agricultural production is a common challenge faced by agricultural development around the world. If China’s agriculture sector intends to achieve the “dual carbon” goal, the focus should be on the agricultural carbon emission of smallholder farmers and their organized production. This study discusses the impact of smallholder structure and organized production on carbon emission, and the interaction mechanism. To describe the causal relationship and mechanism, the structural degree of smallholder farmers and the total carbon emission in the regions were measured, the provincial panel data were constructed, and then the fixed-effects model and intermediary mechanism test were used for empirical analysis. The results show that in the current stage of agricultural development, the high proportion of smallholders in the region will lead to more agricultural carbon emissions. Although organized production services can reduce carbon emissions, the structure of smallholders will inhibit the scale of the organization, thus hindering carbon emission reduction. It is stated that inhibition is the intermediary path for carbon emissions. This study suggests that the government should improve policies to guide smallholders to operate on an appropriate scale, strengthen policies to encourage smallholders to use socialized agricultural production services, and support smallholders in developing highly valuable ecological agriculture.

Predicting Hydrological Drought With Bayesian Model Averaging Ensemble Vine Copula (BMAViC) Model

AbstractStreamflow deficit (hydrological drought) poses a large risk to water resources management, agricultural production, water supply, hydropower generation, and ecosystem services. Reliable and robust hydrological drought predictions are critical for water and food security and ecosystem health under anthropogenic warming. However, the prevalent statistical prediction methods, for example, the meta‐Gaussian (MG) model, usually do not lead to accurate drought predictions. We therefore developed a new drought prediction model utilizing the Bayesian Model Averaging coupled with Vine Copula, called Bayesian Model Averaging Ensemble Vine Copula (BMAViC) model, in which previous meteorological drought, antecedent evaporative drought, and preceding hydrological drought were selected as three predictors. The BMAViC model was applied to the Upper Yellow River basin and showed robust skills during calibration and validation periods for 1‐ to 3‐month lead hydrological drought predictions. In comparison with the MG model (reference model), the skills of the proposed model were relatively stable and superior under diverse lead times. Good performances under the 1‐ to 3‐month lead times strongly implied that the BMAViC model yielded robust and accurate hydrological drought predictions. The study results enhance our confidence in seasonal drought prediction and help us understand drought dynamics in future months.

Agricultural Production Services, Farm Size and Chemical Fertilizer Use in China’s Maize Production

Although various previous studies have explored the relationship between agricultural service adoption and its economic impact, little is known about how it may affect environmental quality, especially chemical fertilizer application. Our study examines the effects of agricultural production services (APSs) on chemical fertilizer use, as well as the effects mediated by farm size, using a national representative survey data set comprising 1321 farm households from 132 villages in China. We show that farms adopting APSs tend to decrease the usage of chemical fertilizer and, thus, have less deviation from optimal chemical fertilizer application. Farms with large sizes are more likely to reduce the usage of chemical fertilizer. Moreover, farm size has a significant mediating effect on the relationship between APS adoption and chemical fertilizer use. In particular, farms adopting APSs are more likely to expand farm size, resulting in chemical fertilizer reduction. Our results suggest that APSs contribute to promoting the scale operation and environmental quality in agriculture.

The Effect of Uncertainty of Risks on Farmers’ Contractual Choice Behavior for Agricultural Productive Services: An Empirical Analysis from the Black Soil in Northeast China

Regulating farmers’ choice of agricultural production service (APS) contracts can help maintain the stability of transactions, enhance agricultural production efficiency, protect farmers’ rights and welfare, stimulate the healthy and sustainable development of service organizations, and promote the economic benefits of agriculture. Under the uncertainty of risk (RU), farmers’ willingness to sign a regulated service contract after purchasing APS is a key factor in reaching an efficient and high-quality partnership. Based on the survey data of the black soil area in northeastern China, this study uses the Heckman two-stage model and analyzes it under the logical framework of APS purchases and contractual choice behavior (CCB) under the role of RU. The main findings are as follows. First, the RU has a significant “inducing” effect on farmers’ CCB, and the higher the RU, the more farmers tend to make formal written contracts; among them, each unit increase in business risk increases farmers’ choice of written contracts by 0.797 units, which is an important factor affecting CCB. Second, farmers’ personal trust level played a positive moderating role in influencing CCB. Compared to the low trust level group, farmers in the high trust level group had a diminished degree of influence on CCB, but the intensity was relatively weak. Third, farmers’ personal, family, and social characteristics all influence their behavioral decision-making processes. In order to reduce the risk level of cooperation between farmers and service providers, which can promote the standardization of cooperation contracts, this study suggests that the government should use the publication of manuals and other forms to carry out legal literacy, promote labor market information transparency, reduce service risks, and enhance the effectiveness of the linkage between farmers and service providers.

Impact of Off-Farm Employment on Farmland Transfer: Insight on the Mediating Role of Agricultural Production Service Outsourcing

Understanding the effects of the off-farm employment of rural laborers on agricultural land use is essential to promote farmland transfer and enhance rural development in China. This study aims to investigate the direct impact of off-farm employment on farmland transfer and the mediating role of agricultural production services outsourcing (APSO) by using the Probit and Tobit model approaches. This study uses field survey data of 960 rural households in 12 counties of the four main grain producing provinces of China. Findings of this study show that off-farm employment has a significant positive effect on the transfer of land out from households and a significant negative effect on the transfer of land into households. Furthermore, APSO has a significant mediating effect on the influence of off-farm employment on farmland transfer behavior. Specifically, APSO can reduce the positive impact of off-farm employment on agricultural land transfer and weaken the negative impact of off-farm employment on agricultural land transfer-in. The findings of our study also show that the mediating effect of different outsourcing of production links services on the impact of off-farm employment on agricultural land transfer is heterogeneous. Based on the findings of the study, it is contended that the APSO can reshape the supply and demand structure of rural land rental markets and policymakers should focus on the role of ASPO in shaping policies to promote land transfer.

Rising agricultural water scarcity in China is driven by expansion of irrigated cropland in water scarce regions

Rising agricultural water scarcity in China is driven by expansion of irrigated cropland in water scarce regions

Impact of Landscape Management Scenarios on Ecosystem Service Values in Central Ethiopia

This study aimed at modeling scenarios of future land use and land cover (LULC) change and estimating ecosystem service (ES) values for the year 2051 compared to 2021 in Central Ethiopia. The future LULC changes for the year 2051 were simulated for four scenarios, namely Business-as-Usual (BAU), Rapid Agricultural Expansion (RAE), Ecosystems Protection and Agricultural Development (EPAD) and Landscape Ecosystems Restoration and Conservation (LERC). The four LULC change scenarios were simulated based on anticipated assumptions that were derived from existing spatial policies, a consultation workshop report on scenarios of agricultural development in Ethiopia, suitability analysis, population growth analysis and expert knowledge of the study area characteristics. We used a Multi-Layer Perceptron–Artificial Neuron Network (MLP–ANN) model-based projected LULC for the BAU scenario and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to generate RAE, EPAD and LERC scenarios in the study landscape. The benefit transfer method was used to estimate the total ES values and for trade-off analysis. The result showed that LULC changes in the study area varied across simulated scenarios compared to the base year 2021. Under the BAU and RAE scenarios, cultivated land increased by 146,548 ha (22%) and 193,965 ha (29%), whereas forest, water body, wetland and shrub-bush land were reduced. However, forest cover increased by 31,725 ha and 100,080 ha but bare land was reduced by 8466 ha (21%) and 10,379 ha (25%) under the EPAD and LERC scenarios. The forest cover annual rate of change was 3.2% and 6% under the EPAD and LERC scenarios. As a result, the total ES value increased by USD 24.5 and 78.5 million under the EPAD and LERC scenarios for the year 2051, whereas the total ES value was reduced under the BAU and RAE scenarios by USD 27.1 and 73.2 million. The trade-offs among ecosystem services were significantly synergized under the LERC scenario compared to RAE. Therefore, EPAD and LERC could be used as a reference for sustainable landscape planning and management. Landscape ecosystems restoration integrated with a sustainable agricultural intensification approach would enable us to ensure the sustainability of both agricultural production and ecosystem service synergies without negatively affecting the natural environment.