This study is the first to perform a focalized analysis on city development, sustainable urban planning, and the negative impact of slum area disamenity on property valuation in suburban and posh areas of the Islamabad region, Pakistan. Slums exist in almost every country in the world. However, in the process of urbanization and city development, researchers have focused merely on the crumbled infrastructure, crimes, and other social problems associated with slums. Studies have covered the adverse effects of these factors on property value, although this unmatched study is the first to examine the negative impact of slum proximity on the valuation of properties in the surrounding areas and on the rental value of houses located in Islamabad. The survey method is applied to obtain feedback from inhabitants, and the study incorporated the hedonic price model to assess rental values within a range of one kilometer from selected slum areas. The findings revealed that slum neighborhoods negatively impact sustainable house rental values, as compared with the rental values of houses located far away. Rents became higher as the distance from the slums increased. The results showed that having slums in the vicinity caused a decline of almost 10% in rent. However, the rental value of a similar house unit, located 500 meters away, was found to be almost 10% higher. In the semi-log model, house rental values increased by approximately 12.40% at a distance of one kilometer from slums, and vice versa. This study will use residents’ feedback to help government officials and policymakers to resolve slum issues, which is essential for maintaining sustainable development and adequate city planning. This study sample’s findings are not generalizable to all slums, as the results are specific to this region.

The purpose of this article is to explore the influence of new agricultural business entities on farmers’ employment decision and provide reference for improving policies related to new agricultural business entities and farmers’ employment. This paper constructs a theoretical analysis framework of “new agricultural business entities—land transfer and purchase of agricultural socialized services—farmers’ employment decision”, and then empirically tests the impact of new agricultural business entities on farmers’ employment decision by combining the analysis methods of the benchmark regression, propensity score matching and mediation effects. The research shows that: (1) New agricultural business entities are beneficial for promoting farmers’ employment decision. (2) Renting out land and the purchase of agricultural socialized services have a positive and partially mediating effect between the new agricultural business entities and farmers’ employment decision, and the mediating effects of the two paths account for 7.12% and 6.25% of the total effects, respectively. (3) In addition to key variables, personal characteristics of decision-making, family characteristics and production and management characteristics are also key factors that affect farmers’ employment decision. (4) The new agricultural business entities increase the probability of farmers’ employment (with legal contract) and entrepreneurship, and reduce the idle labor force in rural areas. Finally, this study proposes some policy recommendations including establishing a perfect farmland transfer market, developing rural industry properly and improving agricultural socialized service systems.

Farmland transfer is a crucial aspect of modernizing China’s agriculture, which has a significant impact on farmers’ income distribution. With rapid urbanization, farmers’ livelihood has changed significantly, and the income effects of farmland transfer will differ among heterogeneous farmers. Based on the China Family Panel Studies (CFPS) data, this study examines the impact of farmland transfer on farmers’ income growth and income disparity, as well as the income differences in farmland transfer among farmers with different types of livelihood capital. An endogenous switching regression model and unconditional quantile treatment effects are used to correct the selection bias and farmer heterogeneity. The results show that (1) farmland transfer increases farmers’ income. Specifically, farmland transfer-in increases farmers’ income by 21.15%, while transfer-out increases it by 43.33%. (2) The impact of farmland transfer on farmers’ income has a “Matthew effect” and will widen the income gap between farmers. (3) Moreover, farmland transfer exhibits diverse income effects on heterogeneous farmers with livelihood capital. Capital-rich farmers experience the largest income-growth effect from farmland transfer-in, while capital-balanced farmers experience the largest income-growth effect from farmland transfer-out. The policy implications are to further improve the farmland transfer market and enable low-income farmers to participate by improving their qualifications and abilities.

With the development of the internet in China, information asymmetry in traditional agriculture production has been alleviated, and the information on modern agricultural technologies and production factor mobility has been widely disseminated, significantly impacting the country’s grain productivity and output. The pertinence and effectiveness of food security system arrangement can be ensured by revealing the influence of the internet on grain production. Based on the panel data of 30 provincial administrative regions in China from 1997 to 2018, a mediation model and a moderation model were used to evaluate the effect of internet development on grain output and constraints. The results showed that grain output could be promoted as internet penetration directly increases, and can also be boosted by enhancing technology usage and promoting operation scale expansion through the internet. However, the positive effect of this cycle could be inhibited by rural population aging, as there are many barriers faced by the elderly using information and communication technology (ICT). Strengthening agricultural technology utilization and promoting large-scale operation can encourage the development of rural internet, consequently improving the national food security guarantee capacity. It is equally important to simplify internet usage to alleviate the adverse impact of population aging on grain output. This study contributes to three sections of literature on (i) the factors influencing grain output, (ii) the mediating effects of the information transmission function of the internet, (iii) and the potential impact of aging in the information era. Exploring agricultural growth from an innovative perspective of the internet can provide a reference for ensuring food security and agricultural informatization.

In developing countries, supply chains are rapidly transforming. However, smallholder farmers, in particular, have experienced mixed impacts in inclusion and exclusion from modern supply chains (MSC). Therefore, by taking Pakistan’s mandarin industry as a case, this study aims to analyze the farmers’ efficiency and inclusiveness in modern supply chains and compare them across the farm size categories, i.e., small, medium, and large. For that purpose, cross-sectional data from 300 farmers were collected to test the posit objectives. The empirical investigation was made using the endogenous treatment effect model and the propensity score matching approach. Findings show that large farmers prefer to participate in MSC, driven by contractors, processors or exporters. Conversely, the smallholders are more inclined to participate in the traditional supply chains (TSCs), driven by village vendors, local retailers/consumers, middlemen, and traditional fruit and vegetable markets. The results also revealed a positive connection between efficiency and farmers’ inclusion in the MSC. Orchard size, education, off-farm income, and extension services positively impact profitability. In terms of an increase in farmers’ profitability, the efficiency improvement can benefit the resource-poor smallholders who make up 74% of the total farmers in the sample. Therefore, these results are noteworthy for devising policy actions to facilitate smallholder inclusion in the modern agri-food supply chains to alleviate rural poverty and ensure farmers’ wellbeing.

It is crucial to pay close attention to the ecological security in land consolidation and utilization of coastal tidal areas and make an appropriate zoning scheme to meet the characteristics of its particular landscape. Landscape security patterns can identify the patterns that are crucial to the health and security of landscape ecological processes by analyzing and simulation them. This article applies the theory of landscape security pattern to land consolidation zoning in a coastal tidal area, Dafeng District, Yancheng, Jiangsu Province. The main landscape processes in land consolidation are explored in land consolidation in the area by literature review and field investigation, corresponding single landscape ecological security patterns are constructed using spatial analysis functions in ArcGIS 10.3, and land consolidation zones are determined according to the comprehensive landscape security pattern. The results show that: (1) The processes of water-soil conservation, water source protection, biodiversity conservation, local culture protection, and recreation are the main landscape processes. The security patterns generated by key points and resistance elements could affect land consolidation; (2) The comprehensive landscape security pattern is composed of the multi-landscape security patterns, which are classified into three levels of high, medium, and low. The areas of the levels account for 20.12%, 46.23% and 33.65% of Dafeng District, respectively; (3) The specific suggestions of ecological protection and ecological restoration in land consolidation are put forward for land consolidation zones with different levels of landscape security patterns. These results suggest that zoning based on landscape security patterns can provide guidance for land consolidation and regulation in coastal tidal areas.