Landslides and Cropland Abandonment in China’s Mountainous Areas: Spatial Distribution, Empirical Analysis and Policy Implications

Socio-economic drivers of irrigated paddy land abandonment and agro-ecosystem degradation: Evidence from Japanese agricultural census data

The abandonment of irrigated paddy land has increased in Japan, which can cause a decline in food security and biodiversity. Despite the importance of individual decisions, most studies have only examined regional or community-based determinants of paddy land abandonment. This study aimed to uncover the socio-economic determinants affecting individual landowners' decisions to abandon paddy land, using Japanese agricultural census data (2005, 2010, and 2015) composed of over one million unique paddy landowners. Results showed that low agricultural benefits are a key driver of abandonment, similar to European countries. Conversely, there is a positive correlation between the population of full-time cultivators in a household and paddy land abandonment, which contradicts previous evidence. Although some mosaics of socio-ecological landscapes with high biodiversity formed through long-term human influence (i.e., the Satoyama landscapes) are less-favored agricultural areas, the paddy land in some of these landscapes tends not to be abandoned. These findings support effective policymaking that balances biodiversity conservation and the provision of agroecosystem services in semi-natural landscapes.

Does Institutional Social Insurance Cause the Abandonment of Cultivated Land? Evidence from Rural China

At present, the world's countryside needs to be revitalized urgently, and cultivated land is the critical factor in promoting the countryside's revitalization. The reduction of uncultivated land contributes to the efficient use of rural land resources, contributing to global rural revitalization. This study uses data from 3938 Chinese peasant households conducted in 2014 and the OLS method to investigate the quantitative impact of institutional social insurance on cultivated land abandonment. The empirical results point to the following conclusions: (1) Institutional social insurance will weaken the social insurance function of land, which will lead to the generation of peasant households' cultivated land abandonment. More specifically, for every 1% increase in the level of institutional social insurance of peasant households, the area of cultivated land abandoned increased by 0.002 mu; (2) The influence of institutional social insurance on peasant households' cultivated land abandonment is heterogeneous, that is, endowment insurance can weaken the social insurance function of land more than medical insurance, and households with a higher proportion of pensioners are more likely to abandon cultivated land. This study's conclusions may help understand the relationship between institutional and non-institutional social insurance and provide a reference for the effective use of cultivated land resources in the global rural revitalization.

Analysis of Changes in Landslide Susceptibility according to Land Use over 38 Years in Lixian County, China

Landslides occur frequently in Lixian County, China, and land use has changed significantly in recent decades. We obtained land use data for the years 1980, 2000, and 2018, as well as three landslide susceptibility maps from a Random Forest model. Agricultural land, low coverage grassland, water area, and urban, rural and other construction land were prone to landslides. Landslide susceptibility was low in areas of woodland, moderate and high coverage grassland, bare rock land, desert and tundra. Areas with high landslide susceptibility were mainly located in the catchment of the study region, and a 2.61% decrease in high landslide susceptibility areas over the 38-year period was primarily driven by changes in agricultural and rural land. By contrast, a 1.42% increase in low landslide susceptibility areas over the 38-year period was driven by changes in moderate and high coverage woodland and moderate coverage grassland. There is a need for effective management measures to be implemented because areas with high landslide susceptibility are still present. We also found that human aggregations, or the absence of these, vary in their effects on the areas of Lixian County most susceptible to landslides.

Analysis of the Spatial and Temporal Pattern of Changes in Abandoned Farmland Based on Long Time Series of Remote Sensing Data

With the rapid increase in the costs of rural labour and the adjustment of planting structures, the phenomenon of farmland abandonment has appeared in China. It is of great significance to promptly and accurately grasp the information on dynamic temporal and spatial changes in abandoned farmland to ensure national food security and the sustainable use of cultivated land. Luquan District in Hebei, China was selected as the research area based on multispectral images from Sentinel-2A, Landsat-7, and Landsat-8 combined with methods of random forest (RF) classification and vegetation index change detection. Rules for the identification of abandoned farmland were also developed, and remote sensing monitoring of the abandonment status of the cultivated land was also carried out in the study area. We also obtained the spatial distribution of abandoned and reclaimed farmland and analysed the frequency of farmland abandonment. The results show that the overall accuracy of the land-use time-series map ranged from 90.20% to 96.92% for the study period of 2010–2020. The average rate of farmland abandonment in the study area was 10.62%, with the lowest rate (5.83%) in 2020 and the highest (14.09%) in 2012. From 2011 to 2020, the maximum farmland abandonment area was 3906.02 hm2, and the minimum area was 1618.74 hm2. The farmland abandonment area showed a trend of first increasing and then decreasing. From 2012 to 2020, the maximum area of reclaimed farmland was 291.49 hm2, and the highest rate of reclamation was 14.26%. The overall reclamation rate was low. The abandonment frequency of most of the abandoned farmland was 1–3 years, covering an area of 8193.73 hm2, which comprised 79% of the total area of abandoned farmland. The frequency of abandonment was inversely proportional to the area of abandoned farmland. Farmland abandonment mainly occurred in hilly areas. We expect that our results can provide case studies for long time series in farmland abandonment research and can provide a reference for studying the driving factors, risk assessment, and policymaking with respect to abandoned farmland.

Does Social Capital Help to Reduce Farmland Abandonment? Evidence from Big Survey Data in Rural China

At a time when COVID-19 is sweeping the world, farmland abandonment is obviously not conducive to solving food security problems. Since the formal institutions of local government in China have not been effective in the reduction of farmland abandonment, this study aims to explore whether informal institutions can help mitigate this problem. Based on big survey data from 8031 farmer households in 27 provinces in mainland China, this study uses an econometric model to investigate the quantitative impact of social capital on farmland abandonment, and to analyze the channels through which that impact manifests itself. The empirical results point to the following conclusions: (i) Social capital, as a key informal institution, can help reduce farmland abandonment. More specifically, after controlling for other variables, for every unit increase in social capital, the proportion of farmland abandonment can be predicted to drop by 7.17 percentage points. (ii) Both off-farm employment and farmland rent are channels for the impact of social capital on farmland abandonment. However, social capital’s effect on increasing farmland abandonment via the promotion of off-farm employment is small when compared with its effect on reducing farmland abandonment via the promotion of farmland rent. This study’s conclusions may help generate new ideas for reducing farmland abandonment. At the same time, the study may provide a sound, empirical basis for policies aimed at reducing the negative impact of COVID-19 on food security while also revitalizing rural areas.

A Scientometrics Review on Farmland Abandonment Research

Using the Web of Science database, 1498 research articles published between 1900 and 2019 on the subject of farmland abandonment were retrieved. With the help of the SciMAT tool, a theme strategic diagram, overlay map and evolution map represented by keywords were constructed, and the strategic coordinate analysis and data flow analysis methods were used to analyze the research themes, evolutionary states and paths of farmland abandonment in different research time periods. The results show the following: (1) Research on farmland abandonment has rapidly grown in the past ten years, the development of studies on farmland abandonment has become more mature, and the research topics and content have tended to solidify; (2) The research topics of studies on farmland abandonment are mostly centered on forests, patterns, landscapes, land use changes, climate change, etc. The research topics have had strong continuity and few new research hotspots; (3) The study of the ecological environment effect of farmland abandonment is the basic research direction in the field of farmland abandonment and will continue to become a research hotspot; (4) Farmland abandonment has become an important part of the research on land use change and ecosystem processes; (5) The driving force of farmland abandonment includes natural, social and economic factors, among which the socioeconomic factors are the most important driving force, and will continue to be a research hotspot. Finally, this study concludes that the research directions on farmland abandonment in future should strengthen the quantitative assessment of environmental effects of farmland abandonment, information extraction and multiscale simulation monitoring, trend prediction and risk assessment.

Differences in the Disaster-Preparedness Behaviors of the General Public and Professionals: Evidence from Sichuan Province, China

Sichuan Province in China is one of the world’s most earthquake-stricken areas. Wenchuan and Lushan Counties in Sichuan and other earthquake-stricken areas contain rural settlements subject to geological disasters and poverty. However, there is little research on the characteristics of disaster-preparedness behavior and whether these differ between professionals and the general public in rural settlements with high earthquake risk and poverty. Using survey data from 327 farmers in rural settlements affected by major earthquakes in Wenchuan and Lushan Counties, independent-sample t-tests and chi-squared tests were used to test for differences in the disaster-preparedness behaviors of professionals and the general public. The results show that (1) there were significant differences in emergency-disaster preparedness, knowledge and skills preparedness and overall disaster-prevention preparedness, and (2) there was no significant difference in physical disaster-prevention preparation. Based on these results, the study suggests policy directions for regional poverty alleviation, disaster prevention and reduction and disaster management.

Land Registration, Adjustment Experience, and Agricultural Machinery Adoption: Empirical Analysis from Rural China

Land property security and advanced factor inputs play critical roles in agricultural modernization in developing countries. However, there are unclear relationships between land property security and advanced factor inputs. This study aims to clarify these relationships from the perspective of the differentiation of the realization process of land property security. From the perspective of property rights theory and endowment effects, data from 2934 farming households in rural China are used to determine the quantitative impacts of land registration and adjustment experience on the adoption of agricultural machinery. The results are as follows: (i) Land registration does not affect the adoption of agricultural machinery. (ii) Adjustment experience has a negative impact on the adoption of agricultural machinery. (iii) The interaction of land registration and adjustment experience has a positive impact on the adoption of agricultural machinery. This study provides some policy references with which developing countries can achieve agricultural modernization and revitalize the countryside by improving property rights security.

Rural-Urban Migration and its Effect on Land Transfer in Rural China

Labor force rural-urban migration will lead to changes to the land use patterns of farmers. Using the survey data on dynamic migration of the Chinese labor force in 2014, iv-probit and iv-tobit models were used to analyze the impact of labor migration on the land transfer of farmers. The results show that: (1) Off-farm employment would significantly impact land transfer of farmers and the results are robust. With every 10% increase in the proportion of off-farm employment of farmers, the average probability of rent-in land of farmers decreases by 1.55%, and the average transfer in land area of farmers decreased by 1.04%. Similarly, with every 10% increase in the proportion of off-farm employment of farmers, the average probability of rent-out land of farmers increases by 4.77%, and the average transfer out land area of farmers increases by 3.98%. (2) Part-time employment also has a significant impact on land transfer of farmers, but the impact of part-time employment on land transfer in is not robust. Specifically, with every 10% increase in part-farm employment, the average probability of rent-out land of farmers increases by 7.64%, and the average transfer out land area of farmers increases by 6.85%.

Relationships between Land Management Scale and Livelihood Strategy Selection of Rural Households in China from the Perspective of Family Life Cycle

Rural households are micro-organizational systems that are composed of different family members. Against a background of fragmented land patterns and massive labor migration in China, it is of great significance for the sustainable development of regional economies to explore the optimal selection of livelihood strategies by rural households. Using a survey containing data from 8031 rural households from 27 provinces in China, this study analyzed the characteristics and spatial distribution trends of the land management scale, family life cycle, and livelihood strategy selection of rural households, and constructed Tobit econometric models to explore the correlations among these factors. The results show: (1) Rural households’ land management scale was primarily small-scale and, as it expanded, the proportion of the total cash income coming from agricultural activities increased. A relative majority of rural households were in the middle period of the family life cycle, and relatively few rural households were in the starting and empty nest periods. The proportion of the total cash income of rural households coming from agricultural pursuits while in the stable and the empty nest periods was relatively large, reaching 40.51% and 38.92%, respectively. In most provinces sampled, rural households’ livelihood strategies were non-agriculturally based, and the land management scale was mainly less than 0.67 ha. (2) Rural households’ land management scale positively correlated with their livelihood strategy selection. When other conditions remained unchanged, with every 1 ha increase in land management scale, the proportion of agricultural cash income in total family cash income increased, on average, by 3.7%. In comparison with rural households in the empty nest period, the proportions of agricultural cash income in the total family cash income of rural households in other family life cycles were relatively small. Specifically, for rural households in the starting, rearing, burden, stable, and maintenance periods, the proportion of agricultural cash income in the total family cash income decreased, on average, by 6.8%, 6.7%, 9.2%, 3.5%, and 16.3%, respectively.

Power of Agricultural Credit in Farmland Abandonment: Evidence from Rural China

Labor, land, and funds are keys to revitalizing rural areas around the world. Previous studies have focused on the impacts of funds on agricultural production, but placed little emphasis on its role in agricultural land-use transformation. Thus, this study explores the quantitative relationship between agricultural credit and farmland abandonment from the perspective of rural revitalization. Using data on 8031 households from 27 provinces obtained from China’s Labor Force Dynamics Survey (CLDS), this study uses a Tobit model to examine the quantitative impacts of informal and formal agricultural credit on farmland abandonment. The results indicate that: (1) Access to agricultural credit helps to reduce farmland abandonment. (2) Compared with formal agricultural credit (provided by institutions), informal agricultural credit (provided by family and friends) is more significant in reducing farmland abandonment. Thus, this study enhances our understanding of the relationship between agricultural credit and farmland use. It will also prompt policymakers to improve rural financial markets in order to reduce the misallocation of farmland resources, thereby improving food security and rural economies.

The Impact of Rural Labor Migration on Elderly Health from the Perspective of Gender Structure: A Case Study in Western China

Aging and rural labor migration have become two major demographic features in China. Using data of 400 rural households in Sichuan, China in 2015, this study constructs an ordered probit model containing instrumental variables to analyze the effect of rural labor migration on the health of the elderly in the family, from the perspective of the gender structure of migrant labor. The results indicate that the overall impact of labor migration on the elderly’s health is positive, and labor migration in the family has different effects on the health of the elderly by gender. Specifically, the results indicate the following: (1) the joint migration of both male and female labor or the migration of only male labor in a household can have a positive impact; (2) if only female labor migrates, the impact is negative; and (3) although the effect is negative, the migration of only female labor has a more prominent impact on the elderly’s self-rated health, whereas the migration of only male labor has a more significant effect on the elderly’s activities of daily living. Our findings suggest that the differential influence of labor migration by gender on rural elderly health should be considered to ensure the welfare of the elderly.

Status of Farmland Abandonment and Its Determinants in the Transboundary Gandaki River Basin

Farmland abandonment is a common phenomenon worldwide, including in the Gandaki River Basin (GRB) in the central Himalayas. This study examined the status of farmland abandonment, along with its trends and determinants, based primarily on interviews with 639 households in different physiographic regions: Mountain, Hill, Tarai and Gangetic Plain (GP). Binary logistic regression was used to examine the contributions of various factors of farmland abandonment. The results indicate that nearly 48%, 15%, 4%, and 16% of total farmland (khet and bari) in the Mountain, Hill, Tarai and GP regions, respectively, has been abandoned. Such differences in the proportion of farmland abandonment among the regions are mainly due to variations in biophysical conditions, agricultural productivity, access to infrastructure facilities, off-farm employment opportunities, and the occurrence of natural hazards. The major determinants for farmland abandonment were also found to vary within the region. Distance from market centers to residence, reduction in the labor force as a result of migration, and household head age were found to be significant factors in farmland abandonment in the Mountain region. Similarly, in the Hill region, eight significant factors were identified: distance from market centers to residence, distance from residence to farmland, lack of irrigation facilities (p = 0.004), reduction in labor force (p = 0.000), household head occupation, lack of training for household head and size of bari land. Household head occupation and household head age were found to play significant roles for farmland abandonment in the Tarai region. In the GP region, distance to market centers and lack of irrigation facilities had positive relationships with farmland abandonment. It is suggested that specific policies addressing the differences in physiographic region, such as horticulture and agroforestry for the Mountain and Hill regions and crop diversification and the adaptation of drought tolerant species with improvement in irrigation systems for the GP region, need to be formulated and implemented in order to utilize the abandoned farmland and have environmental, economic, and sustainable benefits.

Household Health and Cropland Abandonment in Rural China: Theoretical Mechanism and Empirical Evidence

Prior studies have fully explored the impacts of rural labor migration on land use forms. In contrast to prior studies, this study focuses on the health status of rural households and its quantitative impacts on cropland abandonment (CA). More specifically, under the guidance of the theoretical mechanism of "household health affects CA by labor supply", this study employs survey data from 8031 households collected in 27 Chinese provinces in 2014 to explore the quantitative impacts of household health on CA. The results are as follows. (1) The higher the level of household health is, the less CA there is. (2) Compared with males, the impact of female health status on CA is more obvious. Thus, the relationship between household health and CA matters, not only because it may help to theoretically enhance the understanding of the importance of health in peasant households, but also because it may help to practically provide references for effective policies of CA from the perspective of rural medical services.

Spatial Distribution and Simulation of Cropland Abandonment in Wushan County, Chongqing, China

Cropland abandonment (CRA) is an extreme case of cropland marginalization. With the continuous development of global industrialization and urbanization, the phenomenon of CRA gradually spreads from developed countries such as eastern and western European countries and the United States to developing countries such as China, especially in regions with poor geographical conditions such as mountainous areas. However, research on CRA in developing countries is sparse, and adequate identification methods and spatial distribution information are lacking in China, impeding the comprehensive understanding of the status quo of CRA as well as the formulation of related policies and measures. Therefore, taking Wushan County in Chongqing as an example, we developed a CRA extraction method to identify cropland. Landsat 8 OLI_TIRS remote sensing images were adopted in the extraction. Subsequently, Google Earth images were used to verify the extraction results, and the extraction accuracy of abandoned cropland plaques reached 89.33%. The CRA rate in Wushan between 2011 and 2016 was 28.71%, and abandoned cropland was highly scattered across the region. In areas above 800 m and with slopes of more than 15°, large areas were abandoned. However, an increasing irrigation radius resulted in higher labor costs and, ultimately, larger abandoned areas. Using the Conversion of Land Use and its Effects-Small (CLUE-S) model, the CRA status under different scenarios was simulated, and under the scenario of economic development, the CRA rate in the next 20 years was as low as 28.84%, while under the scenario of natural growth, the rate reached 33.54%. When the model used the scenario of ecological protection, the cropland area in Wushan County decreased significantly, and the CRA rate reached 42.11%.

Labor migration and farmland abandonment in rural China: Empirical results and policy implications

Farmland abandonment is a universal socio-economic phenomenon in various countries in the world. However, there is a lack of the large-sample empirical research on rural households' farmland abandonment in China, and few studies have explored the quantitative influences of labor migration on rural households' farmland abandonment. This study uses the survey data of 8031 rural households from 27 provinces (cities) in China. It analyzes the spatial distribution characteristics of labor migration and farmland abandonment on the basis of provinces (cities). Moreover, it constructs the iv-probit models and the iv-tobit models to quantitatively explore the influences of off-farm employment and part-time employment on rural households' farmland abandonment. The results show that: Labor migration and farmland abandonment in various provinces (cities) of China present the trend of spatial area agglomeration. The regional differences of off-farm laborers are significant, whereas the regional differences of part-time laborers are relatively small; Labor migration would promote rural households' farmland abandonment. When other conditions remain unchanged, with every 10% increase in off-farm employment and part-time employment, the average probability of rural households' farmland abandonment increases by 4% and 5%, respectively, and the average farmland area that rural household abandons increases by 3% and 5%, respectively. This study can enhance the understanding of the relationship between labor migration and rural households' farmland abandonment in China, so as to provide reference for the rational allocation of labor resources and the formulation of the policies related to ensuring food security.