Agricultural Labor Research Articles

THE POETICS OF UTOPIA IN THE WORKS OF A. V. CHAYANOV

The futurological model presented in “My brother Alexei’s Journey to the Land of Peasant Utopia” by A. V. Chayanov (under the name of Iv. Kremnev) is focused on preserving and reviving the traditions of the times past, which are harmoniously integrated into a new way of life. The utopian worldview is very eclectic: along with manual agricultural labor, there are the latest inventions: meteorophores and aircraft, atmospheric precipitation is controlled. Art as a philosophical imperative defines all aspects of society. The leaders of the state, rely on the achievements of eugenics, striving to maximize the realization of each person’s talent, education is based on the principles of harmonious personal development: utopia’s residents not only master a specialty, but must know the history of art, play sports, which should also serve to reveal their abilities. The ideal is formed by both the ancient culture and manor pastime, where a person works in close contact with nature, spending leisure time in literary or musical pursuits. Knowledge of history and art is considered fundamental here: even cooking and entertainment are focused on preserving the memory of the past. Many of the ideas on which utopia is based are Chayanov’s ideas about the proper structure of education, its cultural and art history components, pedagogical and methodological principles, and the formation of a versatile and multifaceted scientist. But in a way, it is also an answer to the disputes of the late 19th — early 20th centuries about the role of man as a theurgist, the limits of his capabilities and power.

A cross-sectional epidemiological study of animal bite victims in district hospital Alwar, Rajasthan, India

Background: Rabies, an invariably fatal viral disease, transmitted to humans through animal bites, mostly dogs. According to WHO, each year, 23000-25000 people die in the SEA region due to rabies. These accounts for approximately 45% human deaths due to rabies worldwide. Objective was to study epidemiological trend of animal bite in Alwar district hospital. Methods: A retrospective, record-based study was conducted in 200 animal bite victims presenting to district hospital Alwar, Rajasthan wherein information on monthly number of animal bite cases was collected from records section of the hospital. Information on annual number of animal bite cases was available from the annual report of the hospital from 2018 onwards, this data was used for studying the monthly variation in animal bite cases. Data were compiled and analyzed using Microsoft Excel. Results: Among 200 victims 76.3% were males, 56.7% belongs to 15-45 years, 61.6% were living in urban area, 31.3% and 21.7% of the victims were agriculture worker and laborers respectively. Among 95.8% victims bitten by dog, 89% of them were stray. 89.4% had category III bite, lower extremity affected in 60.8%, fate of animal was unknown in 78.6% and 46% of the victims were bitten during evening hours. Conclusions: Majority of bites were by stray dogs, unprovoked and category III bites. This indicates the need of large amount of anti-rabies serum or HRIG thereby increasing the cost of management of animal bite cases. There is a need to control stray dog population and immunize pet dogs.

The Study of Environmental Exposure of Mothers and Infants Impacted by Large-Scale Agriculture (SEMILLA): Description of the Aims and Methods of a Community-Based Birth Cohort Study.

Women of childbearing age not only reside in agricultural communities but also form an integral part of the agricultural labor force. Limited research investigates the impact of prenatal fungicide exposure on infant health, specifically ethylenebisdithiocarbamates and their toxic by-product, ethylenethiourea (ETU), particularly in occupational settings. This paper describes the background, aims, protocol, and baseline sample characteristics for the SEMILLA study, which investigates prenatal ETU exposure, neonatal thyroid function, infant growth, and neurobehavioral development in an agricultural region of Ecuador. This cohort study follows pregnant women and their infants up to 18 months of age, incorporating urinary biomarkers and survey data on ETU exposure and infant growth and neurodevelopmental measures. Data collection includes detailed questionnaires, scales, and physical examinations on maternal and infant health and development, as well as environmental factors. Descriptive statistics on key characteristics of the study population at baseline are presented. SEMILLA enrolled 409 participants (72% enrollment rate): 111 agricultural workers (mostly floricultural), 149 non-agricultural workers, and 149 non-workers. Baseline characteristics show comparability between work sector groups, with some economic differences. SEMILLA will provide key evidence on prenatal fungicide exposure and infant development and encompass comprehensive multistage data collection procedures in pregnancy and infancy, focusing on structural and social determinants of health as well as individual-level chemical exposures. The community-based approach has proven essential, even amid challenges like the COVID-19 pandemic. The medium-term objective is to inform sustainable interventions promoting maternal and child health, with a long-term goal to reduce community exposures and improve worker health policies, particularly for women and pregnant workers.

Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms

Promoting low-carbon agriculture is vital for climate action and food security. State farms serve as crucial agricultural production bases in China and are essential in reducing China’s carbon emissions and boosting emission efficiency. This study calculates the carbon emissions of state farms across 29 Chinese provinces using the IPCC method from 2010 to 2022. It also evaluates emission efficiency with the Super-Slack-Based Measure (Super-SBM model) and analyzes influencing factors using the Logarithmic Mean Divisia Index (LMDI) method. The findings suggest that the three largest carbon sources are rice planting, chemical fertilizers, and land tillage. Secondly, agricultural carbon emissions in state farms initially surge, stabilize with fluctuations, and ultimately decline, with higher emissions observed in northern and eastern China. Thirdly, the rise of agricultural carbon emission efficiency is driven primarily by technological progress. Lastly, economic development and industry structure promote agricultural carbon emissions, while production efficiency and labor scale reduce them. To reduce carbon emissions from state farms in China and improve agricultural carbon emission efficiency, the following measures can be taken: (1) Improve agricultural production efficiency and reduce carbon emissions in all links; (2) Optimize the agricultural industrial structure and promote the coordinated development of agriculture; (3) Reduce the agricultural labor scale and promote the specialization, professionalization, and high-quality development of agricultural labor; (4) Accelerate agricultural green technology innovation and guide the green transformation of state farms. This study enriches the theoretical foundation of low-carbon agriculture and develops a framework for assessing carbon emissions in Chinese state farms, offering guidance for future research and policy development in sustainable agriculture.

Efficient occlusion avoidance based on active deep sensing for harvesting robots

With the increasing shortage of agricultural labor, the development of harvesting robots is becoming more and more urgent. Most of them require vision to locate the target, however, occlusion is common in agricultural environment, which restricts the accuracy of visual target recognition, and even leads to failure in serious cases. The active perception method is an effective means, but how to efficiently find the best observation position remains difficult to avoid the waste of time caused by repeated invalid motion. Targeting these problems, an active deep sensing method is proposed for harvesting clustered and single fruits. First, the region of interest of the target is extracted by a segmentation network, and then the occlusion status of it is obtained by image processing methods. Taking the current observation position as the starting point, the camera is moved within a matrix to form confidence and occlusion rate distribution maps. After establishing a series of occlusion rate and confidence matrix datasets, a designed deep network has been trained, which is used to predict the maximum confidence/minimum occlusion rate position after the current occlusion status is estimated. To verify the reliability of the method, laboratory and field experiments were carried out for apples and clustered tomatoes. After 1000 times of verification, results show that the successful pick/recognition rate is increased by 38.7 %, and the average successful recognition time is 5.2 s, which is 63.1 % and 46.4 % faster than that of a fixed movement method and a simple heuristic method.

Despotic dominion and union organizing: Law, property, and the historical geography of class struggle in California agribusiness

This paper examines the role of law, particularly law related to private property, in the historical geography of class struggle. At the center of the analysis is the ‘access rule’, written by the California Agricultural Labor Relations Board in 1975 and struck down by the United States Supreme Court in 2021. Responding to the specific geography of California agribusiness labor relations and the long history of violent repression of workers' organizing rights, the rule allowed union organizers onto growers' property under highly constrained conditions to speak with workers about the merits of unionization. The paper traces the ‘pre-history’ of the rule – the decades of law officers and growers' efforts to deny organizers access to California's rural working class – the working of the rule during its more than forty-five years of existence, and its demise at the hands of the current, conservative supreme court. In doing so, it shows how law not only shapes class composition in particular landscapes but is an essential tool, strategically deployed, by all sides in class struggles.

15 December 1929, “Tying Trees at Robinzon’s”; 16 December 1929, “Unemployed”—A Work Diary (1928–1931) of a Jewish Agricultural Laborer in the Establishment of the Citrus Orchards in Eretz Israel

This article presents a detailed analysis of a unique item from the author’s family archive: the work diary of his grandfather, Mordechai Livnat (Libman). In this diary, Livnat meticulously recorded, between 1928 and 1931, the details of his work as an agricultural laborer in Herzliya—at the time, a small village in the central part of Eretz Israel (aka pre-State Israel)—primarily during the establishment of the new colony’s citrus orchards. The diary documents employment details, employer information, working hours, and wages received. Quantitative and qualitative analyses of the information contained in the diary paint a comprehensive picture that allows us to learn about the lives of Jewish agricultural laborers in Eretz Israel at that time. In particular, the hardships faced by these workers stand out, primarily job insecurity, which manifested mainly in their dependence on the weather and the need to work for multiple employers. This article also sheds light on aspects related to agricultural work before the introduction of technological advancements to the agricultural sector, which was mainly manual then, and its impact on the daily routine of the agricultural laborer. The diary is analyzed using an inductive approach—from the text outwards—in a way that emphasizes the complexity and importance of the connections between the macro and micro in historical research. This way, it is demonstrated how items collected during genealogy research can shed important light on historical knowledge, and not just the other way around.

Epidemiological characteristics of traumatic spinal fractures among the elderly in China

The exploration of traumatic spinal fractures (TSFs) within the senior demographic has not been thoroughly scrutinized, particularly with respect to variations across genders, age groups, seasonal periods, and causative factors. This retrospective analysis aimed to dissect differences in the prevalence and characteristics of TSFs among the elderly, factoring in gender, age, seasonal timing, and causation. A retrospective analysis was conducted on the medical and imaging records of 1,415 patients, all aged 60 years or older, who were diagnosed with TSFs from 2013 to 2019. This study categorized the data by gender, age groups (60–70, 70–80, and 80 years or older), seasons, and the cause of injuries, including road traffic crashes (RTCs), falls from low heights (LHF), falls from high heights (HHF), and injuries incurred during everyday activities and agricultural labor (DFI). Male patients exhibited notably higher incidences of RTCs, high-height falls (HHFs), outdoor incidents, comas post-injury, fractures of the lower limbs (LLFs), pelvic fractures (PFs), rib fractures (RFs), intra-thoracic injuries (ITIs), intra-abdominal injuries (IAIs), cervical fractures, and spinal cord injuries (SCIs). With advancing age, there was a marked decline in occurrences of RTCs, HHFs, outdoor incidents, RFs, craniocerebral injuries (CCIs), ITIs, cervical fractures, and SCIs, while the incidences of DFIs, indoor incidents, and thoracic and lumbar (T + L) fractures notably increased. During autumn, LLF occurrences were significantly reduced, whereas the winter season saw an increase in thoracic fractures. Spring time was associated with a higher frequency of lumbar fractures and noncontiguous spinal fractures (NSFs). Significant distinctions were observed in the age distribution, injury circumstances, associated injuries, and SCIs between high-energy impacts (RTCs and HHFs) and low-energy traumas (LHFs and DFIs). In the elderly demographic, TSFs exhibited discernible distinctions based on gender, age, seasonal variations, and etiological factors, impacting the nature and circumstances of injuries, associated traumas, complications, fracture sites, and the occurrence of SCIs.

Adapting to the Agricultural Labor Market Shaped by Robotization

Agriculture is being transformed through automation and robotics to improve efficiency and reduce production costs. However, this transformation poses risks of job loss, particularly for low-skilled workers, as automation decreases the need for human labor. To adapt, the workforce must acquire new qualifications to collaborate with automated systems or shift to roles that leverage their unique human abilities. In this study, 15 agricultural occupations were methodically mapped in a cognitive/manual versus routine/non-routine two-dimensional space. Subsequently, each occupation’s susceptibility to robotization was assessed based on the readiness level of existing technologies that can automate specific tasks and the relative importance of these tasks in the occupation’s execution. The qualifications required for occupations less impacted by robotization were summarized, detailing the specific knowledge, skills, and work styles required to effectively integrate the emerging technologies. It was deduced that occupations involving primary manual routine tasks exhibited the highest susceptibility rate, whereas occupations with non-routine tasks showed lower susceptibility. To thrive in this evolving landscape, a strategic combination of STEM (science, technology, engineering, and mathematics) skills with essential management, soft skills, and interdisciplinary competences is imperative. Finally, this research stresses the importance of strategic preparation by policymakers and educational systems to cultivate key competencies, including digital literacy, that foster resilience, inclusivity, and sustainability in the sector.

Constructing disposable farmworkers: Interrogating narrative and legal contours of the US racial capitalist state

In this paper, I draw on feminist narrative analysis to reconsider the exceptional character of agriculture under the law and its embodied consequences for contemporary agricultural guestworkers in Georgia, USA. Through engaged participant observation alongside farmworker advocates and archival research of legal texts, I consider the interplay between the law and everyday narratives in (re)constructing the racialized agricultural labor system. I interrogate a century of immigration laws, labor laws, and foreign labor schemes and examine how systems of selective inclusion play out on the ground. My analysis is informed by a theoretical framework that asserts that the US racial capitalist state developed in tandem with conceptions linking territory, whiteness, and the virtues of agriculture. Merging literatures on racial capitalism and the racial state, political geographies of immigration, and agricultural exceptionalism, this paper advances an understanding of the importance of interrogating the farm labor system to illuminate key mechanisms of exclusion characteristic of the US racial capitalist state. I argue that the state's construction of “disposable” farmworkers exposes the extent to which the racial capitalist state acts to discipline labor and uphold racialized hierarchies of “American” identity.

Article Review: Relationship between Toxoplasmosis and other Diseases

Water provision is sensitive to climate change, and agricultural production and food supply are sensitive to water availability. Water scarcity affects food security and agricultural economic development through changes in agricultural production and changes in the composition of produced goods. Recent droughts also led to a decrease in the volume of water allocated to agriculture, which led to a decrease in total agricultural production and exports, and this has subsequent impacts on food security and economic development. The research aimed to measure the impact of water scarcity on agricultural economic development for the period 1990-2022. The research included three behavioral equations with three endogenous variables: the cultivated area, the value of agricultural output, and the value of gross domestic product, and four exogenous variables: the amount of available water, agricultural labor, and the value of agricultural investments and the income of other sectors, the studied model is called the sequential model, which was estimated using the Recursive method, using the ordinary least squares (OLS) method. The results indicated that increasing the amount of available water will lead to an increase in the cultivated areas by 141,129.2 dunums, and that increasing one thousand dunums of the cultivated area will increase agricultural output by 0.00821, and that agricultural labor is inversely proportional to agricultural output. It became clear that if the income of the rest of the sectors increased by one unit, the domestic product would increase by 0.1873. Water scarcity will reduce cultivated areas, which in turn will decrease agricultural output, causing the value of agricultural output to decrease and its contribution to the gross domestic product to decrease. In turn, it will have serious repercussions on agricultural economic development. Therefore, the research recommends the necessity of integrated water management and improving the efficiency of its use, as well as the application of modern technologies in agriculture, such as sprinkler irrigation, hydroponics, and redrawing crop compositions to ensure maximizing the net return per unit of water.

The Effect of Dutch Disease VS New Paradigm of Tourism Development (Case Study of Changes in Bali's Economic Structure)

This article aims to explain the possible effects of Dutch Disease (DD) on tourism development in Bali, and how the new paradigm of tourism development can counter the DD effect. As is known, the development of this sector has brought tourism to become a leading sector for Bali's economic growth. However, this condition in the long term is a sign that Bali is starting to experience a significant DD effect, where growth in key sectors hampers growth in other sectors and may even slow down the overall growth rate of the regional economy. Using descriptive analysis techniques, this article utilizes data sharing data on agricultural sector growth and labor profile by sector in the Province of Bali, in describing how the possible effects of the Dutch disease on the Bali economy occurred.

How can information and communication technologies influence farmers’ agricultural income and labor productivity? Micro evidence from China

ABSTRACT Based on a panel data from the National Rural Fixed Point Survey of China, this study explored the effects of information and communication technologies (ICTs) on agricultural income and labour productivity of Chinese farmers using fixed effects models and two-stage least square estimations. The results indicate that the deployment of mobile 3 G led to a reduction in both farmers’ agricultural income and agricultural net income by CNY 560.64 and 331.2, respectively, because ICTs prompted farmers to engage in off-farm employment, thereby allocating less time and input to farming activities. Village access to Internet and 3 G increased farmers’ labour productivity, measured by agricultural net income per day, with increments of CNY 2.09 and 11.15, respectively. ICTs also decreased farmers’ grain production, production cost, fertilizer use, and increased grain productivity. Furthermore, ICTs exhibited a spill-over effect, with non-users in Internet-connected villages demonstrating higher labour productivity compared to those in villages without Internet access. These results imply that agricultural labour productivity can be enhanced by employing ICTs for China and countries with small-scale farms. Nonetheless, greater attention should be paid to the potential trade-offs between the income growth facilitated by ICTs in rural out-migration and the decline in agricultural income and grain production.

The fourth industrial revolution and the agri-food labour market: a systematic literature review

Purpose The fourth industrial revolution (4IR) technological development has undeniably brought major challenges to the agricultural labour market, hampering the adoption of smart technologies in the sector. This study aims to explore a series of literature on the 4IR aspects surrounding agri-food research. In particular, this study will evaluate the challenges faced by the agri-food labour market in response to the emergence of 4IR and propose solutions to strengthen the agri-food sector in response to 4IR. Design/methodology/approach The preferred reporting items for systematic reviews and meta-analyses methodology was used to systematically screen, review and synthesize the literature on 4IR surrounding agri-food research. Findings While applying 4IR technologies spells opportunities for productivity growth and food security, the results revealed that these advanced technological innovations also create challenges to the agri-food sector labour market. Some identified challenges are financial constraints, lack of “Industry 4.0” knowledge and skills, lack of awareness and interest and inadequate government support. Correspondingly, to smoothen the transition to 4IR workplaces, the proposed solutions include offering relevant education and training, gaining access to government support and engaging in collaborative public-private partnerships. Originality/value Given the limited understanding of how technological applications can affect the agri-food sector, this study offers a more nuanced understanding of the gaps related to 4IR within the agri-food sector. By assessing the labour market challenges and addressing solutions for the adoption of digital technologies in agriculture, this study presents valuable insights into how relevant stakeholders in the agri-food sector should embrace Agriculture 4.0.

The impact of labor force aging on agricultural total factor productivity of farmers in China: implications for food sustainability

IntroductionThe rapid aging of the labor force has serious implications for socioeconomic development and poses challenges to food sustainability. Existing studies have focused on the impact of labor force aging on land productivity, but little attention has been paid to the comprehensive capacity of agricultural production, namely the total factor productivity of agriculture.MethodsWe estimate the impact of labor force aging on total factor productivity in agriculture using data from 170,506 sample farm households from the National Fixed Point Survey data from 2003 to 2020. We estimate the results using a panel fixed effects approach and mitigate the endogeneity problem using an instrumental variables approach to ensure the robustness of the estimates.Results and discussionThe results show that labor force aging has an adverse effect on the agricultural total factor productivity of farm households and remains robust after addressing endogeneity and substituting explanatory variables. The aging effect shows significant heterogeneity across different food functional areas with different types of farm households. The negative impact of labor force aging on total factor productivity in agriculture is mainly concentrated in the main grain-production and grain-producing and marketing-balanced areas. We also find that the negative impact of labor force aging is more significant among large-scale farmers. The mechanism analysis finds that the aging of the labor force adversely affects the agricultural total factor productivity by inhibiting technological progress and reducing the efficiency of agricultural resource allocation. These insights, when considered in the light of global trends towards agricultural labor aging, suggest that policy interventions aimed at promoting technological adoption, enhancing resource allocation efficiency, and supporting the transitioning of older farmers may hold promise for maintaining food sustainability and addressing the challenges posed by an aging agricultural workforce in numerous developing nations.

Determinants and inequities in healthy working life expectancy in China.

Many countries are raising the pension age to mitigate the challenges of population aging, but such a solution may ignore the disparities in health and working conditions across populations. Using large-scale longitudinal data from China, this study provides estimates of healthy working life expectancy (HWLE), defined as the average number of years expected to be spent healthy and in work from age 50 years, and highlights substantial inequities in HWLE by gender, socioeconomic status and geographical region. The HWLE from age 50 years was, on average, 6.87 (95% confidence interval: 6.70 to 7.04) years in China. Hypertension was the leading chronic condition for people working unhealthily (5.67 years for men and 4.85 years for women), and arthritis contributed the largest differences in unhealthy working years across people by occupation (agricultural laborer versus enterprise employee, 3.28 years). Moreover, adopting healthy lifestyles was associated with gains in HWLE (2.13 years for men and 1.61 years for women). Our findings suggest that increasing the pension age through a 'one-size-fits-all' approach may not effectively meet the goal of extending working lives. Inclusive initiatives aimed at targeted populations to promote health or work conditions and to facilitate the pension system will be essential to improve HWLE by reducing inequities.

Population, Land, and the Development of the Commodity Economy: Evidence from Qing Dynasty China

Population growth exacerbates the pressure on land carrying capacity, affecting the sustainability of agricultural production, and also impacts non-agricultural industries. This paper utilizes grain price data from southern China during the Qing Dynasty (1776–1910) to examine the impact of population and land pressure on the development of the commodity economy under the “involution” of smallholder agriculture. This study finds that under conditions of stagnant technological advancement and limited natural resources, population growth during the Qing Dynasty created significant “Malthusian” population pressure. This pressure on land first resulted in the over-concentration of agricultural labor and saturation of the farming population. Surplus labor, unable to be absorbed by agriculture, shifted to non-agricultural sectors, engaging in the transportation and trade of grain. The pressure on land carrying capacity facilitated the cultivation and processing of cash crops, and product trade was supported by efficient waterway transportation. These activities generated commercial profits that alleviated survival pressures and promoted the prosperity of the commodity economy. However, this prosperity did not accompany significant productivity improvements; instead, it was a product of “involution” agriculture under high population density pressures.

The effects of internet use on the cultivation of non-timber forest products

Cultivating Non-Timber Forest Products (NTFPs) serves as a crucial means to increase the income of impoverished households in remote areas, while also providing an important avenue towards achieving equitable economic development and environmental preservation. This paper explores the impact of the internet use on households' NTFPs cultivation practices. Based on the available dataset of 641 valid questionnaire responses collected through field research conducted by the research team, this study employs an in-depth analysis utilizing endogenous transformation models. Furthermore, the study recognizes the importance of considering heterogeneity among different user groups and purposes. The results indicate that households who use the internet with the proportion of NTFPs in their forest land being 8.863 % higher than others. Households who use the internet for sales having a proportion of NTFPs in their forest land that is 12.083 % higher than that of non-internet-using households, while households who use it for production only has a 6.971 % increase. Further analysis reveals that internet use increases households' social capital levels, thereby promoting NTFP cultivation, which is attributable to the rise of special e-commerce models such as WeChat business. Furthermore, the use of the internet to some extent reduces the supply of agricultural labor.

Research on the Interaction Mechanism between Land System Reform and Rural Population Flow: Europe (Taking Spain as an Example) and China

This paper examines the interaction between land policies and rural labor migration in China and Europe, highlighting how land reforms guide labor mobility and their impacts on land and social structures. In China, the Household Contract Responsibility System and land transfer policies have facilitated agricultural scale expansion and the urbanization of the rural labor force. Homestead reforms have further enhanced farmers’ asset liquidity. In Europe, using Spain as a case study, EU agricultural policies have spurred agricultural modernization, economic diversification, and intensive land use. These advancements benefitted from a mature land transfer market and increased non-agricultural employment opportunities. Both China and Europe face challenges of population aging and rural depopulation, necessitating improvements in land use efficiency, the balance of the scale, and the protection of farmers’ rights and interests. Europe addresses labor shortages through technology, mechanization, and cooperatives, while China employs land trusteeship, transfer platforms, and the “three rights separation” system to combat land abandonment and labor shortages. Future research should strengthen comparative studies between China and Europe, quantify interactive relationships, consider the impact of transnational labor mobility under globalization, explore policy innovations, and foster international cooperation to address demographic changes and agricultural labor shortages. Additionally, promoting sustainable land use and farmers’ rights, equalizing urban–rural public services, enhancing education and training, and improving the social security system are crucial for integrated urban–rural development.

Cropland abandonment in mountainous China: Patterns and determinants at multiple scales and policy implications

Understanding the formation and causes of cropland abandonment is crucial for developing effective strategies to mitigate this process. However, studies on cropland abandonment often look at one spatial scale, although the relationship between abandonment and evaluated factors may change depending on the specific scale, which limits our understanding of the process of cropland abandonment. Taking mountainous Southern Sichuan of China as an example, we utilized satellite-derived cropland abandonment maps to assess the evolving patterns of cropland abandonment from 2003 to 2018 across various scales. We then carried out a multi-scale (parcel, local and regional) assessment of the relationships between selected 17 variables representing natural, location and socioeconomic conditions and cropland abandonment. Results showed, the cropland abandonment rate increased from 2 % in 2003 to 15 % by 2018, and cropland abandonment always showed a higher concentration in the central part of the study area. At different scales, a combination of factors, which determined cropland abandonment, differed. We also found the distance to the nearest county center was scale-dependent factor and statistically significant factor of cropland abandonment only at the local scale. Among the factors with large contributions, topography mattered at all three scales; cropland per capita, aging and agricultural labor per unit of cropland mattered at the parcel and regional scales. Cropland fragmentation, air temperature and distance to the nearest settlement mattered at the local scale; the distance to the nearest water system, the distance to nearest county center and agricultural mechanization mattered at the regional scale. This multi-scale assessment framework embodied with multi-variable and multi-temporal could provide a new perspective to reveal the complex nonlinear relationship between the determinants and cropland abandonment, and further help to predict future cropland abandonment hotspots and identify relevant land-use policies.