Behavioural Determinants of Functionality of Farmer Producer Organisations in Punjab

Small and marginal farming communities of Indian agriculture account for more than 85%of the total farming households. They face the challenges of land fragmentation, high costof inputs and inability to market their produce efficiently. To tackle these challenges, policymakers came up with the model of farmers’ mutual cooperation through Farmer ProducerOrganisations (FPOs). This study conducted in Punjab analyses the behavioural factorsresponsible for functionality of FPOs. A random selection of 150 members from 5 functionaland 5 non-functional FPOs (i.e., 15 respondents from each selected FPO) was made andthe respondents were interviewed personally. The findings revealed that the members(including management) of the functional FPOs had higher risk bearing capacity, greatereconomic motivation and more innovativeness as compared to the respondents from non-functional FPOs. Similarly, respondents from functional FPOs were socially, economicallyand managerially more empowered than the non-functional FPOs. Business skills of themembers, including the managerial members, of functional FPOs were also better ascompared to those from the non-functional FPOs. Regression estimates revealed that thefunctionality, better academic qualification, bigger land holding and joint family systemwere responsible for the higher net annual income of the respondents.

Cultivated Land Fragmentation and Its Influencing Factors Detection: A Case Study in Huaihe River Basin, China

The booming population and accelerating urbanization in the Huaihe River Basin have sped up the land use transformation and the cultivated land fragmentation (CLF), seriously impeded the advancement of agricultural modernization, and threatened regional stability and national food security as well. The analysis of CLF degree and its spatiotemporal distribution characteristics, along with the influencing factors in the Huaihe River Basin, is of great significance for promoting the intensive and efficient utilization of cultivated land resources and maintaining food security. Previous studies lack the measurement and cause analysis of CLF in Huaihe River Basin. To bridge the gap, this study introduces Fragstats4.2 and ArcGIS10.3 to analyze the spatiotemporal characteristics of CLF in county units in the Huaihe River Basin from 2000 to 2018 through the Lorentz curve, entropy method, and spatial auto-correlation method while the causes of the spatiotemporal differentiation of CLF in the basin were explored with the help of a geographic detector. The results show that the spatial distribution of cultivated land in the Huaihe River Basin is relatively balanced, and the Gini coefficients of cultivated land from 2000 to 2018 were 0.105, 0.108, and 0.113, respectively. More than 56% of the counties in the basin have a location entropy greater than 1. the percentage of landscape, area-weighted mean patch area, patch cohesion index, and aggregation index decrease year by year while the patch density and splitting index show an upward trend. The landscape pattern of cultivated land is highly complex, and the overall fragmentation degree is increasing. The county distribution pattern of the CLF degree with random and agglomeration is generally stable. The spatiotemporal differentiation of CLF in the Huaihe River Basin is affected by multiple factors, among which the influences of the normalized difference vegetation index, per capita cultivated land area, and intensity of human activity obviously stronger than other factors, and the contribution rate of the factors reached more than 0.4. The interaction effect among the factors is stronger than that of single factor, with dual-factor enhancement and nonlinear enhancement dominating. The results of this study have important implications for optimizing the agricultural structure in the Huaihe River Basin and alleviating the CLF in important grain production areas.

Quantifying Land Fragmentation Metrics for Cattle Enterprises in Northern Ireland

Farm fragmentation is the occurrence of numerous and often discontinuous land parcels associated with a single farm. Farm fragmentation is considered to be a defining feature of Northern Ireland’s (NI) agricultural landscape, influencing agricultural efficiency, productivity, and the spread of livestock diseases. Despite this, the full extent of farm fragmentation in cattle farms is not well understood, and little is known of how farm fragmentation either influences, or is influenced by, different animal production types. This study describes and quantifies farm fragmentation metrics for cattle enterprises in NI, presented separately for dairy and non-dairy production types. We find that 35% of farms consist of five or more fragments, with larger farms associated with greater levels of farm fragmentation, fragment dispersal and contact with contiguous farms. Moreover, this was particularly evident in dairy farms, which were over twice the size of farms associated with non-dairy production types, with twice as many individual land parcels and twice as many fragments. We hypothesise that the difference in farm fragmentation and farm size between dairy and non-dairy production types is associated with the recent expansion of dairy farms after the abolition of the milk quota system in 2015, which may have driven the expansion of dairy farms via the acquisition of land. The high levels of land fragmentation, fragment dispersal and contiguous contact observed in NI cattle farms may also have important implications for agricultural productivity and epidemiology alike. Whilst highly connected pastures could facilitate the dissemination of disease, highly fragmented and parcellised land could also hamper productivity via diseconomies of scale, such as preventing the increase of herd sizes or additionally, adding to farm costs by increasing the complexity of herd management.

Performance of community-based water-saving technology under land fragmentation: evidence from groundwater overexploitation in the North China Plain

The current water shortage crisis has necessitated an increased focus on improving the irrigation efficiency in groundwater overdraft areas. Consequently, the Chinese government has supported small farmers in installing community-based water-saving technologies (WSTs) providing high irrigation efficiency. Based on the data collected from 620 households located in the groundwater overdraft area of Hebei, North China Plain, this study conducts a stochastic frontier analysis to measure farmers' irrigation water use efficiency (WUE) and analyzes the impact of land fragmentation and WST types on their WUE. The results show that the average WUE of groundwater irrigation is 0.606. The WUE between community-based and household-based WSTs differs based on the degree of land fragmentation. A high degree of land fragmentation restricts community-based WSTs from efficiently improving farmers' WUE, whereas household-based WSTs perform better and are easier to adopt. For high land fragmentation, the WUE of the community-based WST is 9.12% lower than that of the household-based WST. However, the WUE of the community-based WST is 12.55% higher than that of the household-based WST when the degree of land fragmentation is low. Therefore, the government should pay attention to small farmers' adaptability toward WST and promote community-based WSTs on a low degree of land fragmentation.

Decision tree application for model built-up land fragmentation in urban areas

Land fragmentation can define as the “situation where one area/unit is composed of a large number of parcels that are too small for their rational utilization” [5]. Land fragmentation affects sustainable development through its multiple impacts on environmental, economic, and social costs [13]. Effective land use management and policy decisions are always based on understanding, modeling, and predicting land-use changes in cities [9]. Therefore, the land fragmentation process should systematically investigate to provide a wide-ranging set of land use indicators to support sustainable development [12]. Built-up land fragmentation is the fragmentation or division of the built-up plots or units within the built-up land-use area horizontally. The objective of this study is to frame a Decision Tree (DT) model to identify the non-linear relationships between the Level of Built-up Land Fragmentation (LBLF) and its influencing factors in urban areas. The sub-objective is to quantify the LBLF in the Western Province, Sri Lanka. The study scope limits to LBLF and Decision Tree (DT) non-linear classifier. The study further quantifies the LBLF from 2000 to 2010 in Western Province, Sri Lanka as an initiation to frame the DT model.

Land Use Transitions and Farm Performance in China: A Perspective of Land Fragmentation

Land fragmentation (LF) is widespread worldwide and affects farmers’ decision-making and, thus, farm performance. We used detailed household survey data at the crop level from ten provinces in China to construct four LF indicators and six farm performance indicators. We ran a set of regression models using OLS methods to analyse the relationship between LF and farm performance. The results showed that (1) LF increased the input of production material and labour costs; (2) LF reduced farmers’ purchasing of mechanical services and the efficiency of ploughing; and (3) LF may increase technical efficiency (this result, however, was not sufficiently robust and had no effect on yield). Generally speaking, LF was negatively related to farm performance. To improve farm performance, it is recommended that decision-makers speed up land transfer and land consolidation, stabilise land property rights, establish land-transfer intermediary organisations and promote large-scale production.