Farm Survey Research Articles

The Impact of Changes in Rural Family Structure on Agricultural Productivity and Efficiency: Evidence from Rice Farmers in China

Over the past three decades, China has shifted from a relatively immobile society to one where rural migrant workers are dispersed throughout urban areas, resulting in significant changes in rural family structure. Previous studies have tended to approach migrant workers as homogeneous groups within families. In contrast, our attention turns to the diversity among individuals and the complex interactions within families. Based on a survey of rice farmers in five provinces of China, this study aims to explore the heterogeneous impact of changes in rural family structure on the single-factor (i.e., land, labor, and capital) productivity and technical efficiency (TE) of rice production. Methodologically, we calculated the productivity indicator through the Cobb–Douglas production function. Following this, a one-step stochastic frontier approach (SFA) was employed to assess the production frontier and estimate inefficiency. To address self-selection bias in family migration behavior, we applied the propensity score matching method (PSM). The results reveal that significant outcomes are observed only with certain types of changes in rural family structure. The production decisions of rural families are influenced by the migration regions of their family members. Compared to non-migrating families (NM), families with couples’ joint migration outside the province show higher single-factor productivity and TE. We used multiple approaches to examine the results and came to similar conclusions. Therefore, enhancing social security measures and employment opportunities for migrant workers, with specific attention to supporting migrant couples, can have a positive impact on sustainable urban and rural development, as well as food security.

Small Area Prediction for Exponential Dispersion Families under Informative Sampling

Abstract Small area estimates are usually constructed from complex survey data. If the design is informative for the model, then procedures that ignore the sample design can suffer from important biases. Past work on small area estimation under informative sampling has focused heavily on linear models or on the prediction of means. We propose to generalize existing small area procedures for an informative sample design. We develop procedures in the context of a broad class of exponential dispersion families with random small area effects. We consider two models for the survey weights. We construct predictions of means as well as more general parameters that are nonlinear functions of the model response variable. We evaluate the procedures through simulation using a logistic mixed model. We then apply the methods to construct small area estimates of several functions of a wetlands indicator using data from the National Resources Inventory, a large scale agricultural survey.

Winter Wheat Mapping in Shandong Province of China with Multi-Temporal Sentinel-2 Images

Wheat plays an important role in China’s and the world’s food supply, and it is closely related to economy, culture and life. The spatial distribution of wheat is of great significance to the rational planning of wheat cultivation areas and the improvement of wheat yield and quality. The current rapid development of remote sensing technology has greatly improved the efficiency of traditional agricultural surveys. The extraction of crop planting structure based on remote sensing images and technology is a popular topic in many researches. In response to the shortcomings of traditional methods, this research proposed a method based on the fusion of the pixel-based and object-oriented methods to map the spatial distribution of winter wheat. This method was experimented and achieved good results within Shandong Province. The resulting spatial distribution map of winter wheat has an overall accuracy of 92.2% with a kappa coefficient of 0.84. The comparison with the actual situation shows that the accuracy of the actual recognition of winter wheat is higher and better than the traditional pixel-based classification method. On this basis, the spatial pattern of winter wheat in Shandong was analyzed, and it was found that the topographic undulations had a great influence on the spatial distribution of wheat. This study vividly demonstrates the advantages and possibilities of combining pixel-based and object-oriented approaches through experiments, and also provides a reference for the next related research. Moreover, the winter wheat map of Shandong produced in this research is important for yield assessment, crop planting structure adjustment and the rational use of land resources.

Comparative analysis of alpine agritourism in Trentino, Tyrol, and South Tyrol: Regional variations and prospects

Abstract Agritourism is an increasingly popular form of tourism that entails visiting farms to engage in activities and gain insights into the farming way of life. This research explores the economic, social, and environmental dynamics of agritourism in the Tyrol–South Tyrol–Trentino Euroregion with a specific emphasis on the three distinct regional entities in Austria and Italy: the Austrian state of Tyrol (comprising North and East Tyrol) and the Italian autonomous provinces of South Tyrol and Trentino. It addresses two key research aims: uncovering regional distinctions among these Alpine provinces and understanding the motivations, challenges, and future plans of agritourism operators. A comprehensive review of existing literature frames the study, while data collection involves an online survey of agritourism farms in the region. Distinctive characteristics emerge, with Trentino emphasizing restaurant services, sustainability, and community engagement. South Tyrol prioritizes quality accommodations and work–life balance, while Tyrol aligns closer with South Tyrol’s focus. Notably, economic factors exert a substantial influence on their motivations to embrace agritourism, underscoring their pivotal role in this context. Despite facing challenges such as “time management and labour,” “meeting visitors’ expectations,” and “local permits and taxes,” most agritourism operators across the region display willingness to expand their activity in the future. Overall, agritourism in the study area is characterized by significant structural and operational differences resulting in different future public support and regulatory needs.

Three Decades of Rust Surveys in the United States Reveal Drastic Virulence Changes in Oat Crown Rust.

To better understand how the pathogenicity of the oat crown rust pathogen Puccinia coronata f. sp. avenae (Pca) has changed in the United States, 30 years of United States Department of Agriculture (USDA) survey isolates (n = 5,456) tested on 30 to 40 differential lines were analyzed for overall and Pc-resistance-gene-specific virulence trends and correlations. Pca is incredibly pathologically diverse, with 88% of races represented by a single isolate. There are a slightly higher proportion of unique races from the Northern region of the United States, and for one fourth of the years, Northern region isolates were significantly more virulent than Southern isolates, which supports the idea that sexual recombination in this region is mediated by the alternate host as a major factor in creating new races. However, there is also support for regular isolate movement between North and South regions as isolates in the United States are steadily accumulating virulences at a rate of 0.35 virulences per year. Virulence significantly increased for 23 and decreased for four of the 40 differential lines. In the past few years, virulence has reached 90% or greater for 16 differential lines. There were also strong correlations in virulence for certain Pc genes that are likely identical, allelic, or target the same or closely linked pathogen effectors (e.g., Pc39, Pc55, and Pc71), and the results were largely in concordance with recent genome-wide association study (GWAS) effector studies using USDA isolate subsets. Understanding changes in Pca pathogenicity is essential for the responsible deployment and management of Pc resistance genes for sustainable and profitable oat production.

Randomized response technique in agricultural surveys

Randomized response technique in agricultural surveys

Farmers' preferences for sustainable farmland construction — Insights from a discrete choice experiment in China

Sustainable farmland construction (SFC) is a priority development strategy used to address the integrated goals of “efficiency output, resource conservation, and environmental friendliness” in agricultural systems. Introducing farmer participation to optimize SFC institutions can improve farmland construction efficiency and address limited construction funding. This study analyzed farmer preferences for participating in SFC through a discrete choice experiment survey of farmers in the project area. This study also evaluated farmers' willingness to pay for different SFC schemes. The findings indicate that farmers prefer constructing mechanized production roads (MPR), leveling farmland and transforming the contiguous farmland (LF and CF), integrated irrigation and fertilizer facilities (IIFF), and moderate improvement in ecological protection facilities. On the basis of the heterogeneity of the farmer preferences, they can be classified as benefits-driven and ecology-driven. In addition, factors such as age, educational level, risk proneness, land transfer, and cultivated land quality can influence the classification of farmer preferences. Farmers' willingness to pay for MPR, LF and CF, ED, IIFF, and moderate improvement in ecological facilities has reached 50–80 % of construction costs, essentially bridging the investment gap under the SF standards set by the central government. Based on the aforementioned, SFC schemes should be designed to consider farmers' needs and regional development requirements. Allocating SF construction costs according to farmers' willingness to pay for various facilities, formulating diverse investment ratios, and forming a coherent government-farmer cooperation mode are recommended. This study introduces policy tools to establish a farmers' participation mechanism in farmland construction, offering valuable insights into institutional reforms in land consolidation projects across other developing countries.

Farmers’ needs, ideas and interests on the adoption of fossil energy free technologies and strategies in the EU

ABSTRACT This study investigates farmers’ needs, ideas and interests on the adoption of Fossil Energy Free Technologies and Strategies (FEFTS). 470 direct farmer surveys and 41 expert interviews were conducted in 8 EU countries to identify the barriers and drivers to the adoption of FEFTS, results were analysed using SPSS. The findings suggest that the adoption of FEFTS is driven primarily by economic factors, with cost reduction emerging as a dominant motivation for adopting renewable energy sources (RES) and energy-saving technologies/practices. Environmental concerns also play a significant role. Farmers indicate that financial support and access to tailored cost benefit models for their farms are important drivers to becoming FEFTS adopters. Based on these results we argue that enhanced financial support as planned in the Common Agricultural Policy 2023–2027 together with national advisory services that support innovation and knowledge transfer are necessary to drive the adoption of FEFTS in the agriculture sector.

Living with technological drought: Experience of smallholding farmers of Bangladesh

Technological drought is caused by a lack of irrigation technology and a poor water management system. Here we present and analyse the results of a large survey of farmers in Bangladesh, designed to reveal their experience of and attitudes to, as well as factors and challenges of technological drought management. Also, we analysed the impact of water sources and the role of irrigation development to mitigate the technological drought taking North Bengal of Bangladesh as a case study. To explore the nature and characteristics of technological drought, we have used both qualitative and quantitative data from the study area. We used Principal Component Analysis (PCA) to find out the underlying dimensions and factor loadings of the technological drought using the field data. Moreover, we compared the relations and associations between socio-demographic, water source characteristics and technological drought perceptions. PCA results indicated seven underlying dimensions (challenges) out of thirty-one factors of technological drought related to river water management, irrigation technology, socio-economic conditions, land use, and electricity and fuel supply. The high population, lack of modern irrigation technology, upstream management problems, inefficiencies in the system, electricity connections, load shedding, and poor socio-economic conditions prevent people from getting the water they desperately need in the case study area. We also found a significant relationship between farmers’ socio-demographic and water source characteristics with technological drought perceptions. Although there has been increasing use of irrigation technology and improved water resource management in recent years, it is essential to highlight that there will likely be more challenges in the future if this trend continues.

Evaluating the potential and eligibility of conservation agriculture practices for carbon credits

Carbon credits, a voluntary market mechanism to reduce greenhouse gas (GHG) emissions, can incentivize climate action. We evaluate the potential and eligibility of Conservation Agriculture (CA) practices for carbon credit generation in India under Verra's VM0042 methodology. Using farmer surveys and remote sensing data, we assess the eligibility based on the following conditions: Additionality Condition (GHG emission reductions to exceed legal requirements and the weighted mean adoption rate to be < 20% of area in the baseline), Yield Penalty Condition (no > 5% decrease in crop yields), and Quantitative Adjustment Condition (reduction in chemical fertilizer use by > 5%). Our analysis shows that CA has the potential to increase farmers’ carbon credit earnings by USD 18/ha and USD 30/ha in Bihar and Punjab, respectively. Punjab's ban on crop residue burning and the fact that > 20% of the area unburned limits the full economic realization of CA through carbon markets, decreasing potential income to USD 16/ha. A 60% increase in carbon prices from the current norm (USD 25) is required to encourage wider adoption of CA. Zero tillage of wheat in both Punjab and Bihar and reduction of nitrogen fertilizer overuse in Punjab fulfil all the conditions and are eligible for carbon farming projects.

An Empirical Analysis of the Adoption of Hi-Tech Farming Techniques Among the Farmers of the Eastern Uttar Pradesh Belt

Like in every sector, the agriculture sector also shows numerous technological advancements every now and then and it is expected from farmers to incorporate the same and increase the crop yields and keep themselves up-to-date for meeting up any type of competitions &amp; contingencies as well. A lot has been done in the agricultural sector to improve cultivation but Indian farmers still rely on the traditional practices. Farming is still not regarded as a secure source of income in India. For Indian agriculture to become more profitable and sustainable, smart farming is essential. The farmer breed will soon go extinct without getting into smart and high-tech farming. Though Agropreneurs have started taking baby steps in India with respect to smart farming, it is still a silent revolution in India as compared to other countries because of lack of awareness and confidence. In this paper a study has been conducted in order to identify the inclination of farmers towards new technologies when it comes to agriculture from the Eastern Uttar Pradesh belt. At the same time farmers have also been inquired about the limitations and the challenges faced by them in the traditional farming system. During the survey of this study farmers have also been made aware how innovative modern agricultural practices doubles the crop yield which is not only beneficial to meet the domestic needs but can also be exported worldwide adding to the GDP of the country which could be of economic importance to the nation.

ANALYSIS OF FACTORS INFLUENCING THE RETURNS ON BROILERS PRODUCTION IN UYO LOCAL GOVERNMENT AREA OF AKWA IBOM STATE, NIGERIA

The study analysed the factors influencing the returns on broilers production in Uyo Local Government Area of Akwa Ibom State. Simple random sampling technique was used to select 100 poultry farmers practicing deep litter system for the study. The data were obtained from a cross-sectional survey of broiler farmers in the study area. The study revealed that male farmers (52%) dominated the broiler production in the study area. The total cost of broilers production was N786,303.60 while the total revenue was N1,430,329.8. The gross margin and net farm income were N 682,052.76 and N 644,026.20 respectively. The study also revealed that the high cost of feed accounted for 80.18% of the total cost of broilers production inversely affected the profitability of broilers production in the study area. The study also reaved that, despite the high cost of feeds deep litter system of broilers production is profitable as depicted by the net farm income of N 644,026.20. Besides, the return on a naira invested was N 0.819 implying that for every N1 invested 81.9k was return as profit. The study concluded that high cost of feeds and lack of funds are the major factors influencing the returns on broilers production in the study area. Based on the findings, it was therefore recommended; Subsidy on feed cost, simple procedures for credit facilities, increase in flock size to enhance profitability, Provision of adequate incentives and financial services to farmers for increase productivity, as well as stoppage of the arbitrary fees levied such as environmental fee, business premises fee and other levies that were introduced by the local government authorities to restore sanity and create a conducive environment for investment in poultry industry.

Ozone pollution contributes to the yield gap for beans in Uganda, East Africa, and is co-located with other agricultural stresses

Air quality negatively impacts agriculture, reducing the yield of staple food crops. While measured data on African ground-level ozone levels are scarce, experimental studies demonstrate the damaging impact of ozone on crops. Common beans (Phaseolus vulgaris), an ozone-sensitive crop, are widely grown in Uganda. Using modelled ozone flux, agricultural surveys, and a flux-effect relationship, this study estimates yield and production losses due to ozone for Ugandan beans in 2015. Analysis at this scale allows the use of localised data, and results can be presented at a sub-regional level. Soil nutrient stress, drought, flood risk, temperature and deprivation were also mapped to investigate where stresses may coincide. Average bean yield losses due to ozone were 17% and 14% (first and second growing season respectively), equating to 184 thousand tonnes production loss. However, for some sub-regions, losses were up to 27.5% and other crop stresses also coincided in these areas. This methodology could be applied widely, allowing estimates of ozone impact for countries lacking air quality and/or experimental data. As crop productivity is below its potential in many areas of the world, changing agricultural practices to mitigate against losses due to ozone could help to reduce the crop yield gap.

Influences of Farmland Transfer Transaction Costs on Contract Choices from the Perspective of Differential Order Governance: Based on a Survey of Farmers in Henan Province

Under the heterogeneous situation of heterogeneity of farmland circulation entities, transaction costs are the key factors to optimize the selection of circulation contracts, and reducing transaction costs is an important realization path to promote farmland circulation in a reasonable and orderly manner and accelerate the process of agricultural modernization. Based on the survey data of 814 farming households in Henan Province, this study explores the transaction costs on contract selection based on the differential order governance. The results show that (a) in the transfer of farmland, farmers’ choice of contracts is restricted by their degree of association with the transaction entity, which is the result of differential order governance. (b) The influence of differential order governance on the selection of transfer contracts is constrained by the governance context. Farmers tend to choose formal written contracts in the context of weak ties governance but choose verbal or informal contracts under strong relationship governance. (c) The impact of transaction costs on the selection of farmland transfer contracts is constrained by the three-stage scenarios as before, during, and after the transaction. In different transaction stages, the higher the transaction costs are, the more likely farmers are to choose a formal written contract. The findings show the importance of the rules of human relations in the society of acquaintances in saving transaction costs. The importance of the formal system and informal institutions, such as trust and reputation, and avoiding one-size-fits-all suggestions should be involved in the formulation and implementation of farmland transfer policies.

Examining cover crop agri-environmental program participation: Evidence from a western US farmer survey

Agri-environmental programs (AEPs), which pay farmers to adopt conservation practices, are increasingly important environmental and agricultural policy tools used in both the US and the EU. Despite large budgetary shares allocated in a 20-year application window, several studies identify lower-than-expected environmental outcomes. In the US, reasons for low environmental outcomes include low participation rates, lack of program awareness, and poor targeting levels. Research has identified low levels of awareness and variation in participation across the US in the Environmental Quality Incentives Program (EQIP), the largest working lands program in the US. Using a survey of Western US farmers, this paper provides an analysis of awareness and participation levels in cover crop AEPs in the Western US. Second, this paper analyzes motivations and barriers to participation in cover crop AEPs through the Environmental Quality Incentives Program (EQIP) and the Conservation Stewardship Program (CSP). Third, the paper uses a survey experiment to examine different types of incentives. The results highlight that participation is low due to lack of awareness and policy barriers. Using a logistic regression, predictors of AEP participation include frequent contact with NRCS, having a succession plan, and a positive attitude toward governments’ role in conservation programs. The survey experiment found that non-financial factors, such as more information on cover crops, is an effective policy incentive.

Population, distribution, biomass, and economic value of Equids in Ethiopia.

Equids play a crucial role in the Ethiopian economy, transporting agricultural inputs and outputs in the dominant subsistence agricultural systems and the critical link for value chains throughout the country. However, these species are often neglected in policies and interventions, which reflects the data and information gaps, particularly the contribution of working equids to Ethiopia. To assess population dynamics, distribution, biomass, and economic value of equids in Ethiopia. Equine population data were obtained from the Ethiopian Central Statistics Agency (CSA) annual national agriculture surveys published yearbooks from 2004 to 2020. Parameters such as the number of effective service days and daily rental value were obtained from interviews and literature to estimate the stock monetary and service value of equids. Descriptive statistics were used to assess population dynamics and the geographical distribution was mapped. The estimated total Ethiopian equid population increased by more than doubled (by 131%) between 2004 and 2020 from 5.7 (4.9-6.6) million to 13.3 (11.6-15) million with 2.1 million horses, 10.7 million donkeys, and 380 thousand mules. Similarly, the number of households owning a working equid has increased. Equine populations are unevenly distributed across Ethiopia, although data were lacking in some districts of the country. The per human-capita equine population ranged from 0-0.52, 0-0.13, and 0-0.02 for donkeys, horses, and mules, respectively. The equid biomass was 7.4 (6.3-8.4) million Tropical livestock unit (TLU) (250 kg liveweight), 10% of total livestock biomass of the country. The stock monetary value of equids was USD 1,229 (651-1,908) million, accounting for 3.1% of total livestock monetary value and the services value of equids was USD 1,198 (825-1,516) million, which is 1.2% of Ethiopian 2021 expected GDP. The Ethiopian equine population has grown steadily over the last two decades. Equids play a central role in transportation and subsistence agriculture in Ethiopia and contribute significantly to the national economy. This pivotal role is insufficiently recognized in national livestock investments.

Environmental Impacts of Rice Intensification Using High-Yielding Varieties: Evidence from Mazandaran, Iran

This article aims to show the potential contribution of high-yielding rice varieties to achieve sustainable intensification in paddy farming, by focusing on a developing country. A comparative life cycle assessment of traditional vs. high-yielding varieties is carried out by comparing the area-based and yield-based results. Primary data are collected through a farm survey (49 farms in the Mazandaran province, Iran; spring 2018). The results highlight that high-yielding varieties can reduce the yield-scaled impacts. However, area-scaled impacts are subject to increase for most impact categories. Statistically significant trade-offs involve global warming potential (+13% per ha and −28% per t in high-yielding varieties) and fossil resource depletion (+15% per ha and −26% per t in high-yielding varieties). Pesticide management is the most alarming practice. High-yielding varieties increase pesticide consumption and related toxicity impacts both per t and per ha. This study is a new contribution to the literature by improving and broadening the mainstream productivity perspective of current life cycle assessment research about crop varieties. The lessons learnt from this study suggest that the trade-offs between yield-scaled and area-scaled impacts should be carefully considered by decision-makers and policymakers, especially in developing countries that, like Iran, are affected by the overexploitation of natural resources. Targeted policy and the development of farmer education and advisory services are needed to create the enabling conditions for farm management changes, including conscious use of production inputs while avoiding heuristics.

Can crop insurance help optimize farmers’ decisions on pesticides use? Evidence from family farms in East China

Pesticides are important agricultural inputs, which can effectively reduce crop growth risk, but irrational use of pesticides also brings major challenges to the green development of agriculture. This paper constructs a theoretical framework of the effect of crop insurance on pesticides usage. Then using family farm survey data in East China, we measure the marginal value cost ratio (MVCR) of pesticides use through the improved damage abatement production function (DAPF), and empirically analyze the impact of crop insurance on MVCR of pesticides use by employing the endogenous treatment effect model (ETEM). The results show that 42.6% of family farms in the sample area purchased crop insurance, and almost all family farms overused pesticides, but the degree was relatively lower among the family farms with crop insurance. Crop insurance has a significantly positive effect on the MVCR of pesticides use, which indicates that it can optimize farmers’ pesticides use behavior. This conclusion is also confirmed by several robustness checks. Thus, the promotion of agricultural insurance can play the role of promoting the green development of agriculture to a certain extent.

Heterogeneity in farmers’ stage of behavioural change in intercropping adoption: an application of the Transtheoretical Model

Despite its potential economic and environmental benefits, intercropping adoption remains limited in Europe. Drawing upon the Transtheoretical Model, this paper views adoption decision as stages of behavioural change. The paper aims to investigate socioeconomic, behavioural, and policy factors associated with stage of change in intercropping adoption in Sweden. Exploratory factor analysis and generalized ordered logit regression were performed on data from a nation-wide farmer survey conducted in 2021 with 388 usable replies. Results show that farmers with better knowledge of intercropping, a higher evaluation of financial benefits and ease of intercropping, and ley growers were more likely to progress to higher stages of the adoption process. Farmers who have higher perceived seed separation costs, a lower education level, and are older tend to remain at lower stages. Perceived environmental benefits of intercropping, household income, and instrumental values of farming could turn non-adopters into either potential adopters or actual adopters. We found no significant association between policy support and stage of change in intercropping adoption. Policy implications aimed at fostering intercropping adoption were discussed.

The effects of agricultural machinery services and land fragmentation on farmers' straw returning behavior

AbstractStraw returning is important for rural ecological management and sustainable agricultural development. Using farm survey data for Anhui Province, China, in 2020, we applied the double‐hurdle model to investigate the impact of agricultural machinery services and land fragmentation on farmers' straw‐returning behavior, and to explore the relationship between agricultural machinery self‐service and outsourced service. Self‐service had a significant positive effect on farmers' straw‐returning behavior, while outsourced service had a significant positive effect only on degree of adoption. Land fragmentation had a significant negative effect on farmers' straw‐returning behavior, and significantly inhibited the effect of self‐service on adoption decision. Complementarity existed between self‐service and outsourced service in farmers' straw‐returning adoption decision, and the effect was more pronounced among smaller‐scale farmers. There was significant substitutability between self‐service and outsourced service in degree of adoption among larger‐scale farmers. Transfer and integration of rural land, increasing agricultural machinery purchase subsidy, upgrading farmers' self‐service capability, and promoting development of socialized agricultural machinery services should be implemented to promote crop straw returning. EconLit Citations: Q01, Q16.