Determinants of cropland abandonment at the parcel,household and village levels in mountain areas of China: A multi-level analysis

Cropland abandonment accompanying economic development has been observed worldwide. China has experienced a large amount of land abandonment in recent years. However, the reasons for it are not entirely clear. Although abandonment decisions are made by individual households, the underlying conditions reflect processes operating at multiple levels. Therefore, we aimed to detect the influences on land abandonment at the parcel, household and village levels. We developed and employed a multi-level statistical model using farm household survey data and geographical maps of Wulong County. Our model revealed that of the variance in occurrence of land parcel abandonment, 7% and 13% can be explained at the household and village levels, respectively, while the remnant 80% can be explained at the land parcel features itself. We found that land abandonment is more prone to occur on parcels that are on steep slopes, have poor quality soil, or are remote from the laborers’ residences. Households with less agricultural labor per unit land area showed a high probability of land abandonment. We also found a nonlinear influence of labor age on land abandonment, with households comprising middle-aged laborers having a low land abandonment probability. Parcels in villages with high elevation, far from the county administrative center or with low prevalence of leased land are inclined to abandonment. We also found, surprisingly, that the household proportion of males among its agricultural laborers did not significantly influence the occurrence of land abandonment at the parcel level, probably due to the male agricultural laborers being overwhelmingly old (average age greater than 56 years). To alleviate land abandonment, we suggest improving land tenure and transfer security to ensure stable access to the land rental market, and also improving infrastructure in remote regions.     

农户参与市场化生态补偿意愿及影响因素分析

[目的]与参与政府主导的生态补偿项目不同,农户参与市场化生态补偿有更大的自主性,因此在"建立市场化、多元化生态补偿"背景下,加强农户参与市场化生态补偿意愿的研究具有重要意义。探究农户参与市场化生态补偿的意愿,并识别出影响因素,寻求提高农户市场化生态补偿参与意愿的发力点。[方法]文章基于贵州省仁怀市208户农户问卷调查数据,运用二元Logistic回归从农户个体特征、家庭特征、农业经营特征和农户行为态度四个方面研究农户参与市场化生态补偿意愿及其影响因素。[结果]农户参与市场化生态补偿意愿整体较高,81.25%的农户表示愿意参与市场化生态补偿。家庭务农人数越多、家中有村干部、平地数量越多、坡地数量越少、对坡耕地经济收益越不满意、认为水质下降对作物产量影响越严重、越认同参与生态补偿可获得荣誉感的农户,越愿意参与市场化生态补偿。[结论]增强农户参与市场化生态补偿意愿要从以下三个方面发力:保障和提高农户参与市场化生态补偿后的经济收益;降低农户对土地的依赖程度;增强农户参与市场化生态补偿的荣誉感和参与感。     

How do informal farmland rental markets affect smallholders’ well‐being? Evidence from a matched tenant–landlord survey in Malawi

We estimate the efficiency and equity returns to farmland rental markets in Malawi using a matched tenant–landlord survey of smallholder farm households in four districts. Our sample allows us to more fully observe the landlord side of the rental market, which is almost always missing in previous studies. Our results suggest that land rental markets promote efficiency by facilitating a net transfer of land to more productive farmers. We also find that land rental markets promote equity as conventionally defined in the land markets literature, that is, by transferring land from land‐rich households to land‐poor households, and from labor‐poor to labor‐rich households. However, our study identifies some important challenges for land rental markets in this context. First, we find that tenants in our sample are wealthier than their landlord counterpart on average in all dimensions other than landholding. In addition, most landlords report the motive for renting out their land as either the need for immediate cash, or the lack of labor and/or capital to cultivate the plot that was rented out. These findings align with concerns about potential “stress renting” by poor landlords and suggest the value of defining equity along a broader set of dimensions other than simply equalizing the distribution of farmland and labor.     

Land tenure, population pressure, and deforestation in Haiti: The case of Forêt des Pins Reserve

Haiti, with a forest cover estimated at 3% of all land area, has experienced severe degradation of its natural resources and a significant change in its land cover. While deforestation in Haiti is obviously multifaceted, one issue emerges from previous empirical analysis in explaining deforestation: land tenure. This study focuses on the causes of deforestation in Haiti, particularly in Forêt des Pins Reserve, using the annual average area of cleared forest per household as the dependent variable. Data were collected with the use of a survey instrument administered to 243 farm households in 15 villages inside the Reserve. Tobit Regression results reveal that household size, education of head of the household, land tenure regime, and farm labor are important factors affecting land clearing.     

Policies for sustainable development in the hillside areas of Honduras: a quantitative livelihoods approach

In this article, we use data for 376 households, 1,066 parcels, and 2,143 plots located in 95 villages in the hillside areas in Honduras to generate information needed by decision makers to assess the needs and opportunities for public investments, and design policies that stimulate natural resource conservation. We develop a quantitative livelihood approach, using factor and cluster analysis to group households based on the use of their main assets. This resulted in seven household categories that pursue similar livelihood strategies. We use a multinomial logit model to show that livelihood strategies are determined by comparative advantages as reflected by a combination of biophysical and socioeconomic variables. While 92% of the rural hillsides population in Honduras lives on US$1.00/capita/day or less, households that follow a livelihood strategy based on basic grain farming are the poorest because they often live in isolated areas with relatively poor agro‐ecological and socioeconomic conditions. Opportunities for off‐farm work tend to be limited in these areas and household strategies that combine on‐farm work with off‐farm work earn higher incomes. Per capita incomes can be increased by improving road infrastructure, widening access to land, policies that reduce household size and dependency ratios, and adoption of sustainable land management technologies that restore soil fertility. We used probit models to show that the latter can be promoted by agricultural extension programs and land redistribution. Investments in physical assets should be directed toward households that pursue livelihood strategies based on off‐farm employment or coffee production, while agricultural training programs are best focused on livestock producers.     

The economics of land fragmentation in the north of Vietnam*

Land fragmentation, where a single farm has a number of parcels of land, is a common feature of agriculture in many countries, especially in developing countries. In Vietnam, land fragmentation is common, especially in the north. For the whole country, there are about 75 million parcels of land, an average of seven to eight plots per farm household. Such fragmentation can be seen to have negative and positive benefits for farm households and the community generally. Comparative statics analysis and analysis of survey data have led to the conclusion that small‐sized farms are likely to be more fragmented, and that fragmentation had a negative impact on crop productivity and increased family labour use and other money expenses. Policies which allow the appropriate opportunity cost of labour to be reflected at the farm level may provide appropriate incentives to trigger farm size change and land consolidation. Policies which tip the benefits in favour of fewer and larger plots, such as strong and effective research and development, an active extension system and strong administrative management, may also lead to land consolidation.     

Are preserved farms actively engaged in agriculture and conservation?

This study addresses the question of whether farms enrolled in land preservation programs are actively engaged in agricultural or conservation activities. Data are drawn from an original survey administered to preserved farm owners in the states of New Jersey, Maryland, and Delaware in 2011. “Actively engaged” is defined as investment in conservation projects, buildings, equipment, or irrigation since the land was preserved. Affirmative answers to the survey's investment questions range from a low of 19% for irrigation to a high of 69% for equipment. Special attention was paid to differences between lifestyle farmers and small and large commercial farmers, which are classified using the USDA typology developed in 2000. Regression analysis estimates differences in investment behavior across these groups as well as farm tenure categories, controlling for farm size, program/state location, and demographic variables. Only owners who employ tenants or managers exclusively on their land were found to invest significantly less than the largest professional farmers, and they did so across all four types of investment.This study's findings support preservation goals articulated by legislators and program administrators, because (1) agricultural and land stewardship investments appear to be widespread on preserved farms, partly due to administrators’ preference for larger parcels, (2) there is no evidence that “hobby farmers” are disproportionately attracted to farmland preservation programs – in fact the opposite seems to be true – while those that exist in our sample behave similarly to the largest commercial farmers, (3) although tenant farming is associated in the sample with lower rates of investment, it is less common on preserved farms than on all farms in the three study states. The matter of land tenure, highlighted in this as in other studies, has not yet become a primary focus of either farm-behavioral research or state agricultural policy.     

中国农户土地租佃行为实证研究

本文利用福建省和黑龙江省的农户调查样本数据，通过建立土地租佃行为的经济计量模型，从微观层面定量分析了影响农户土地租佃行为的各种因素。计量结果表明，农户土地租佃行为受到户主年龄、户主是否接受过专业技术培训、家庭劳动力人数、人均纯收入、非农收入比重、农户是否饲养役畜、交易成本等多方面因素的影响，并随着这些因素的变化而不断变化。     

Modeling farmers' decisions on child labor and schooling in the cocoa sector: a multinomial logit analysis in Côte d'Ivoire

Since 2000, children working in the cocoa sector of Côte d'Ivoire have found themselves in the media spotlight. This situation has assumed particular importance because approximately 40% of the world's cocoa production occurs in Côte d'Ivoire. Concerned parties have since taken great interest in this thorny issue. There is a need to better understand the reality of child labor utilization in this sector. This article investigates child labor issues in the cocoa sector of Côte d'Ivoire in conjunction with schooling status of children. The study is based on a survey done in 2002, over a representative sample of more than 11,000 members of cocoa households. The multinomial logit model is used to capture choice probabilities across work and/or school options. The results reveal that child labor in cocoa farms and nonenrollment in schools are significant. Moreover, many children are involved in potentially dangerous and/or harmful tasks. Data also highlight gender and age dimensions in the participation of children in tasks and the way labor is allocated. Econometric results generally indicate that the gender and age of children, whether or not the child is the biological child of the household head, parents' education, the origin of the farmer, household welfare, household size, the household dependency ratio, the size of other perennial crop farms, the number of sharecroppers working with the household head, and communities' characteristics are all pertinent in explaining the child work/schooling outcome in the cocoa sector of Côte d'Ivoire.     

How has Oregon's land use planning system affected property values?

Oregon's landmark land use planning system has been criticized for imposing large negative effects on landowners’ property values, although evidence to support these claims has been lacking. This paper examines longitudinal data for undeveloped parcels since before adoption of the planning system. The sample includes parcels under different land use regulations, and it compares Oregon to Washington. The results indicate generally that property values have increased at similar rates both inside and outside urban growth boundaries, and across parcels zoned for different uses and across state lines. The results are consistent both with theory and with other studies indicating land use regulations can have positive, neutral or negative effects.     

Effects of payments for ecosystem services programs in China on rural household labor allocation and land use: Identifying complex pathways

Payments for Ecosystem Services (PES) is increasingly used in developing countries to secure the sustainable provision of vital ecosystem services. The largest PES programs in the world are embedded in China’s new forest policies, which aim to expand forest cover for soil and water conservation and improve livelihoods of rural people. The objective of this study is to identify the complex pathways of the impacts of two PES programs , the Conversion of Cropland to Forest Program (CCFP) and the Ecological Welfare Forest Program (EWFP), on household livelihood decisions, and to quantify the direct and indirect impacts along the identified pathways. We fulfill this objective by developing an integrated conceptual framework and applying a Partial Least Squares-Structural Equation Model (PLS-SEM), based on household survey data from Anhui, China. Labor allocation (for on-farm work, local paid work, local business, or out-migration) and land use decisions (i.e., rent in, maintain, rent out, or abandon cropland) for participating households are key to understand PES program effects on livelihoods. Results show that the PES programs have only small direct effects but significant indirect effects via the mediating factor of capital assets. Moreover, group heterogeneity analysis shows that lower-income households do not benefit more than the better-off households from the PES programs, while households with medium wealth increase dependence on agriculture. In addition, household demographics, individual attributes, and geographic settings differ in their impacts on labor allocation and land use decisions. We conclude that CCFP and EWFP would be more efficient in conserving the environment while improving the economic welfare of lower-income households if capital assets were taken into account in the design of compensation schemes.     

Analyzing the behavioural mechanism of farmland abandonment in the hilly mountainous areas in China from the perspective of farming household diversity

Revealing the mechanism under the occurrence of farmland abandonment from the perspective of farming household diversity is conducive to proposing well-directed farmland protection policies. With a thorough consideration and study of cases in some hilly mountainous areas in China, this paper uses behaviour decision models of farming households to systematically understand and analyse the behavioural mechanism leading to farmland abandonment by different types of farming households, including aged households, stable part-time households, unstable part-time households and pure households. The mechanism is empirically analysed with a logistic regression model by household survey data collected from Jiangxi and Guizhou, 2 Chinese provinces, and the results observed as follows: (1) age is a key determinant of farmland abandonment of aged households, and as the age of farm labourers increases by one year, the probability of farmland abandonment increases by 8.5 %; (2) off-farm labourers is a key determinant of farmland abandonment of stable part-time households, and for each additional number of off-farm labourers, the abandonment probability increases by 41.4 %; (3) plot features such as land quality, irrigation and distance to home, are the main determinants affecting farmland abandonment of pure households; and (4) high possibility for unstable part-time households not to abandon farmland. A series of policy measures targeted for diverse farming households are therefore finally proposed to alleviate the farmland abandonment in hilly mountainous areas and other areas with similar problems.     

基于零膨胀模型的农户借贷行为影响因素分析——以山东省8119家农户数据为例

采用大样本数据可使得对我国农户借贷行为的分析更加稳健。截至目前,对山东省223个行政村8119户的抽样调查数据规模在相关研究中最大,为适应相关数据结构特征,利用零膨胀负二项模型进行数据分析,发现注重自身积累的传统投资观念、具有较高学历水平两个因素会对农户借贷行为产生显著性影响,而正规金融体系却未对其产生显著性影响。在此基础上,进一步提出了发展农村金融业的政策建议。     

Household-level effects of China's Sloping Land Conversion Program under price and policy shifts

This study examined how agricultural households involved in China's Sloping Land Conversion Program (SLCP) could respond to expected changes in environmental and livestock policies and changing commodity prices. We calibrated a farm household model using 2009 survey data collected in northeast Gansu Province, China, and examined the responses of four different household groups. Household groups were distinguished based on the resources they possessed for either cropping, livestock husbandry or off-farm employment. We also calculated the opportunity cost of converting sloping land from grain crop production to perennial grass production and included the net value of the replacement crop in these calculations. Our model simulations indicated that subsistence-oriented households were most likely to participate in the SLCP, and that SLCP payment reductions could have large negative income effects for this group. Reductions in SLCP payments increased income inequality among households in the study area. Migration- and cropping-oriented households have fewer incentives to participate in the SLCP. With rising commodity prices, SLCP payments need to rise to avoid that subsistence-oriented households reconvert their land from perennial grasses to annual grain crops. Local government policies related to livestock production are being devised in Gansu as a method to lift incomes, and these policies could also have positive environmental benefits by increasing grass production on sloping land. The introduction of these livestock promotion policies had modest income effects but did not alter the area grown with grasses under the SLCP.     

Rural household incomes and land grabbing in Cambodia

This paper empirically quantifies environmentally augmented rural household incomes in Cambodia and analyzes how economic land concessions (ELCs) affect such incomes. Data is derived from a structured survey of 600 randomly selected households in 15 villages in three study sites in Cambodia, where local livelihoods are highly reliant on access to land and natural resources, supported by qualitative data from focus group discussions. Gini coefficient decomposition, multiple regression models, and propensity score matching (PSM) models were employed to analyze the composition of income portfolios, determinants of major income sources, and the impacts of land grabbing on incomes. Results documented high reliance on environmental income (32–35% of total household income) and farm income (51–53%) across income quartiles; demonstrated the variation in product composition across quartiles and the contribution of each major product to income inequality; and identified the main household characteristics influencing absolute and relative incomes. ELCs were found to consistently have negative impacts on household total income, environmental income, size of available cultivable land and livestock holdings, and increasing the distance to forests. The total household annual income subjects to ELCs were estimated to decrease by 15–19%. While providing some employment opportunities, we find no evidence of positive income effects of ELCs on households in the areas where ELCs are located.     

Urbanization,the energy ladder and forest transitions in India's emerging economy

Urbanization is currently a major force in tropical land use transitions as economic activities aggregate in urban centers, particularly in Asia. This paper examines relationships among urbanization, household energy source, and forest cover at the state level in India using available census, survey, and remote sensing analysis from the 1990s and 2000s. Central questions include (1) how rapidly are urban and rural households switching from traditional to modern fuel sources; and (2) what are the consequences of changing household energy sources for fuelwood demand and forest cover. Country-wide, 30 and 78% of urban and rural households respectively used fuelwood for cooking in 1993. In urban households, the percentage decreased to 22% by 2005 with a shift towards liquefied petroleum gas (LPG). The shift occurred across almost all income classes. In rural areas, the use of LPG increased fourfold but 75% of households still rely on fuelwood. Despite the decline in percentage households using traditional fuels, fuelwood demand continued to increase from 1993 to 2005 at a national scale due to an increasing total number of households. However, 25% of states and union territories experienced declines in rural fuelwood demand and over 70% declines in urban fuelwood demand. Forest cover has remained steady or increased slightly over the time period, reaffirming the conclusion that fuelwood demand may lead to local degradation but not large-scale deforestation. At the state level, increases in percent forest cover between 2000 and 2004 are positively associated with percent of total households that are urban (corresponding to fewer percentage households using wood) but not related to changes in fuelwood demand. Plantations are a primary cause of increases in forest area, where benefits to ecosystem services such as biodiversity and hydrologic function are controversial. Results suggest that households will continue to climb the energy ladder with future urbanization, resulting in substantial development benefits and reduced exposure to indoor air pollution. Implications of reduced fuelwood demand for forest cover are less certain but the limited data suggest that urbanization will promote a transition to increasing forest cover in the Indian context.     

Understanding rural household behavior: Beyond Boserup and Becker

New data and new methods have provided many new insights into rural households in the past 50 years. We analyze what we have learned from household models since Boserup and Becker, using this to frame more recent findings about household behavior from three types of studies: observational studies, experimental games, and impact evaluations. More sex-disaggregated data, as well as data that are collected at smaller units, such as agricultural plots, have allowed us to better understand agricultural productivity, risk sharing, and spousal cooperation. However, the focus on bargaining within households has often led us to ignore the cooperation that occurs within households. Many resources are owned and managed jointly by household members and many decisions are made jointly, although not all parties necessarily have equal voice in these decisions. Research demonstrating that households often do not reach efficient outcomes suggests that we still have much to learn about rural household behavior. Understanding both individual roles within households and the levels of cooperation, including joint decision making and ownership of resources, is essential to analysis of households, especially in rural areas where households engage in both production and consumption.     

Determinants of households’ resistance against land acquisition for mining: Experiences at Talcher coalfields in India

In the context of people's protests against land acquisition for mining in the Indian state of Odisha, the present paper attempts to identify the underlying household level factors. The paper uses primary data collected from the Talcher coalfield region of the state and estimates limited dependent variable models. It is found that the households belonging to the scheduled tribe category or having larger per capita income or with greater access to basic amenities are more inclined to give up their land for mining. However, such inclination is lower when they have more land or better education or are concerned about deforestation and pollution. As regards the amount, the paper finds that households with higher per capita income or larger per capita asset base or greater access to basic amenities desire to give up more land. On the other hand, willingness to give up land is less either when households possess more land holding or when there is a larger male workforce in the family.