Search Results (53)

This study employs k-means clustering to analyze local organizations responsible for land improvement in Greece, identifying four distinct groups with consistent geographic patterns but divergent financial and operational characteristics. By integrating unsupervised machine learning with spatial analysis, the research offers a novel perspective on irrigation water pricing and cost recovery. The findings reveal that organizations located on islands, despite high water costs due to limited rainfall and geographic isolation, tend to achieve relatively strong financial performance, indicating the presence of adaptive mechanisms that could inform broader policy strategies. In contrast, organizations managing extensive irrigable land or large volumes of water frequently show poor cost recovery, challenging assumptions about economies of scale and revealing inefficiencies in pricing or governance structures. The spatial coherence of the clusters underscores the importance of geography in shaping institutional outcomes, reaffirming that environmental and locational factors can offer greater explanatory power than algorithmic models alone. This highlights the need for water management policies that move beyond uniform national strategies and instead reflect regional climatic, infrastructural, and economic variability. The study suggests several policy directions, including targeted infrastructure investment, locally calibrated water pricing models, and performance benchmarking based on successful organizational practices. Although grounded in the Greek context, the methodology and insights are transferable to other European and Mediterranean regions facing similar water governance challenges. Recognizing the limitations of the current analysis—including gaps in data consistency and the exclusion of socio-environmental indicators—the study advocates for future research incorporating broader variables and international comparative approaches. Ultimately, it supports a hybrid policy framework that combines data-driven analysis with spatial intelligence to promote sustainability, equity, and financial viability in agricultural water management. Full article

Given the significant shifts in rural labor mobility patterns and their continuous influence on the transformation of the land factor market, it is crucial to understand the relationship between labor factor prices and land factor prices. This understanding is essential to keep land factor prices within a reasonable range. This study establishes a theoretical framework to investigate how migrant workers’ return shapes land price formation mechanisms. Using 2023 micro-level survey data from eight counties in Jiangsu Province, China, this study empirically examines how migrant workers’ return affects land transfer prices and its underlying mechanisms through OLS regression and instrumental variable approaches. The findings show that under the current pattern of labor mobility, the outflow factor alone is no longer sufficient to exert substantial downward pressure on land transfer prices. Instead, the localized return of labor has emerged as a key driver behind the rise in land transfer prices. This upward mechanism is primarily realized through the following pathways. First, factor substitution effect: this effect lowers labor prices and increases the relative marginal output value of land factors. Second, supply–demand effect: migrant workers’ return simultaneously increases land demand and reduces supply, intensifying market shortages and driving up transfer prices. Lastly, the results demonstrate that enhancing the stability of land tenure security or increasing local non-agricultural employment opportunities can mitigate the effect of rising land transfer prices caused by the migrant workers’ return. According to the study’s findings, stabilizing land factor prices depends on full non-agricultural employment for migrant workers. This underscores the significance of policies that encourage employment for returning rural labor. Full article

This study examines Poland’s agricultural land market between 2009 and 2023 through fixed effects and spatial econometric models, highlighting economic and spatial determinants of land prices. Key results show that GDP per capita strongly increases land values (β = +0.699, p < 0.001), while agricultural gross value added (–2.698, p = 0.009), soil quality (–6.241, p < 0.001), and land turnover (–0.395, p < 0.001) are associated with lower prices. Spatial dependence is confirmed (λ = 0.74), revealing strong regional spillovers. The volume of state-owned WRSP land sales declined from 37.4 thousand hectares in 2015 to 3.1 thousand hectares in 2023, while non-market transfers, such as donations, exceeded 49,000 annually. Although these trends support farmland protection and family farms, they also reduce market mobility and hinder generational renewal. The findings call for more flexible, sustainability-oriented land governance that combines ecological performance, regional equity, and improved access for young farmers. Full article

Water resources have become a critical factor limiting agricultural development and ecological health in arid regions. The ecological efficiency of agricultural water use (EEAWU) serves as an indicator of the sustainable utilization of agricultural water resources, taking into account both economic output and environmental impact. This paper, grounded in the social–ecological system (SES) framework, integrates multidimensional variables related to social behavior, economic decision-making, and ecological constraints to construct an analytical system that examines the impact mechanism of farmers’ part-time employment on the EEAWU. Utilizing survey data from 448 farmers in the western Tarim River Basin, and employing the super-efficiency SBM model alongside Tobit regression for empirical analysis, the study reveals the following findings: (1) the degree of farmers’ part-time employment is significantly negatively correlated with EEAWU (β = −0.041, p < 0.05); (2) as the extent of part-time employment increases, farmers adversely affect EEAWU by altering agricultural labor allocation, adjusting crop structures, and inadequately adopting water-saving measures; (3) farm size plays a negative moderating role in the relationship between farmers’ part-time engagement and the EEAWU, where scale expansion can alleviate the EEAWU losses associated with part-time employment through cost-sharing and factor substitution mechanisms. Based on these findings, it is recommended to enhance the land transfer mechanism, promote agricultural social services, implement tiered water pricing and water-saving subsidy policies, optimize crop structures, and strengthen environmental regulations to improve EEAWU in arid regions. Full article

To promote the role of land property rights operation (LPRO) in urbanization and socioeconomic development, an optimization mechanism framework for LPRO is constructed to analyze how different variables related to the transfer, utilization, and supervision links within the LPRO system impact its macro effects. LPRO’s macro effects are promoted by the land price, advanced utilization level, land marketization level, public management land scale, residential land scale, and regulation of the upper and lower limits on the floor area ratio (FAR), with contributions of 38.18%, 22.62%, 4.78%, 3.11%, 2.43%, and 2.11%, respectively, whereas the low-quality land scale, commercial land proportion, change rate of the transfer scale, distance to the city center, and regulation of the upper limit on the FAR contribute negatively, by 6.63%, 3.14%, 2.82%, 2.65%, and 2.16%, respectively. Moreover, the role of the LPRO structure changes over time. The land marketization level has a single-threshold and increasingly positive contribution, the land price exhibits “U”-shaped double-threshold effects transforming from negative roles to positive roles, and the advanced utilization level shows double-threshold decreasing promotion effects. LPRO’s macro effects in central and western China operate similarly but differ from those in eastern China, highlighting the implementation of regionally differentiated guidance mechanisms. The results highlight the new code of “value-driven development” when the “land-driven development” model is weakening. Full article

In 2014, China implemented a policy to limit land supply for new industrial construction in city centers with more than 5 million people to decrease the pollution of urban areas caused by industrialization. We aimed to study whether this land restriction policy (LRP) has been conducive to enhancing urban green total factor productivity (GTFP) with the goal of achieving long-term sustainable urban development. We formulated our hypotheses based on theoretical analysis. We used the difference-in-differences method and the data from prefecture-level cities from 1999 to 2017 for verification. The findings indicate that the LRP has improved the urban GTFP via (1) increasing the allocation efficiency of land transfer; (2) increasing land prices and transforming the industrial structure to tertiary industry; and (3) decreasing newly built firms, investments, patents for inventions, and technological innovation. Consequently, a selected land policy favoring green industry is required to prevent urban deindustrialization and to support the sustainable industrial development of the urban economy throughout the low-carbon transition. Full article

Realizing the multifunctional value of farmland is essential for regulating the pricing of farmland transfers and stabilizing the rural land market. However, in China, the mismatch between supply and demand leads to improper resource allocation, weakens the explicit value of farmland, and causes unreasonable transfer pricing mechanisms that threaten agricultural production and food security. This study develops an analytical framework to examine the relationship between farmland multifunction and transfer pricing from a supply–demand perspective. An evaluation index system is constructed, considering the physical, value, and material quantities. This study uses the matching index method and bivariate spatial autocorrelation to analyze the supply–demand match of farmland multifunction from 2014 to 2021 and its relationship with transfer prices. Additionally, management methods and strategies for dynamic zoning-based pricing under multifunctional matching trade-offs are proposed. The results show that: (1) There is significant heterogeneity in the supply and demand matching degree of different farmland functions in both space and time. The production and ecological functions of farmland are oversupplied, while the living functions are undersupplied. (2) Different spatial autocorrelation relationships exist between the degree of supply and demand matching of farmland functions and farmland transfer prices. Specifically, the supply and demand matching degrees of the production and living functions show a significant negative spatial correlation with farmland transfer prices. In contrast, the ecological function shows a significant positive spatial correlation with farmland transfer prices, which are continuously strengthening over time. (3) Based on the supply and demand matching situation of different farmland functions and the spatial autocorrelation of farmland transfer prices, nine types of regions are delineated for farmland functions. Among them, the surplus-coordinated development areas have the most cities, accounting for about 40%, with a wide distribution range. This study proposes zoning-based pricing instruments and management strategies. This research provides valuable insights for developing countries seeking to alleviate conflicts in multifunctional land use, enhance the sustainable protection of land resources, and improve land resource assessment frameworks. Full article

The Regional Comprehensive Land Price System (RCLPS) in China serves as the compensation standard for land expropriation, as established by the new Land Management Law in 2019. Its primary objectives include safeguarding the legitimate rights and interests of expropriated landowners and promoting social fairness and justice—critical components for achieving Sustainable Development Goal 10. Despite its significance, the existing literature lacks a comprehensive exploration of the RCLPS’s legal connotation and implementation challenges. This study first analyzes the research background and legal connotation of China’s RCLPS. It provides a comprehensive compensation standard for land expropriation, aiming to ensure consistent compensation levels within the same “expropriated districts”. Then, an empirical study examines the practical implementation of the RCLPS in Wuhan City, China. Through a comparative analysis of the 2020 Regional Comprehensive Land Price (RCLP) and state-owned land transfer fees in Wuhan, several deficiencies in the city’s RCLPS are identified. First, the distribution of land value-added benefits lacks reasonableness. Second, the district-level delineation of “expropriated districts” inadequately captures variations in land value. From a sustainable development perspective, specific countermeasures can be proposed, including re-evaluating the allocation of land value-added benefits and incorporating them into the RCLP assessment. Additionally, enhancing the precision in delineating “expropriated districts” within the administrative region is necessary. This study provides valuable guidance for achieving equitable compensation in land expropriation and improving the RCLPS. Full article

For a long time, the decline in agricultural comparative returns and the urban–rural development gap in China have prompted the outflow of rural labor. Land transfer policies, which allow farmers to retain their land contracting rights while transferring their management rights, were instituted to mitigate the impact of labor outflow on land use and agricultural production. In recent years, tourism has contributed to the diversification of the rural economy and has had an essential impact on the urban–rural allocation of elements such as labor. In this paper, we adopt a probit model to investigate the impact of tourism development on rural land transfer-out by using data from the China Family Panel Studies. The results show that the marginal effect of tourism development is significantly negative, indicating that the probability of rural land transfer-out was significantly reduced with tourism development. The results are still valid after a series of robustness tests. A mechanism analysis indicates that tourism development inhibits land transfer by enhancing local vitality, such as increasing the local employment of rural labor and promoting participation in agricultural production. Moreover, from the perspective of rural welfare and asset prices, further research finds that tourism development contributes to poverty alleviation and increases land value. These results suggest that tourism development inhibits land transfer while promoting rural sustainable development, helping to understand the impact of tourism on rural land use and household asset allocation from a more comprehensive perspective. Full article

Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS–metro trips. Then, DBS trip data, metro passenger data, socioeconomic data, and built environment data in Shanghai are used to analyze the spatiotemporal characteristics of integrated trips and the correlations between the integrated trips and the explanatory variables. Next, multicollinearity tests and autocorrelation tests are conducted to select the best explanatory variables. Finally, a geographically and temporally weighted regression (GTWR) model is adopted to examine the determinants of integrated trips over space and time. The results show that the integrated trips account for 16.8% of total DBS trips and that departure-transfer trips are greater than arrival-transfer trips. Moreover, the integrated trips are concentrated in the central area of the city. In terms of impact factors, it is found that GDP, government count, and restaurant count are negatively correlated with the number of integrated trips, while house price, entropy of land use, transfer accessibility index, and metro passenger flow show positive relationships. In addition, the results show that the GTWR model outperforms the OLS model and the GWR model. Full article

This research provides a comprehensive analysis of the spatiotemporal evolution of the regional cropping structure and its influencing factors. Using Landsat satellite images, field surveys, and yearbook data, we developed a planting structure extraction model employing the classification regression tree algorithm to obtain data on the major crop cultivation and structural characteristics of Alar reclamation from 1990 to 2023. A dynamic model and transfer matrix were used to analyze temporal changes, and a centroid migration model was used to study spatial changes in the cropping structure. Nonparametric mutation tests and through-traffic coefficient analysis were utilized to quantify the main driving factors influencing the cropping structure. During the period of 1990–2023, the cotton area in the Alar reclamation region expanded by 722.08 km², while the jujube exhibited an initial increase followed by a decrease in the same period. The primary reasons are linked to the cost of purchase, agricultural mechanization, and crop compatibility. In the Alar reclamation area, cotton, chili, and jujube are the primary cultivated crops. Cotton is mainly grown on the southern side of the Tarim River, while chili cultivation is concentrated on the northern bank of the river. Over the years, there has been a noticeable spatial complementarity in the distribution and density of rice and cotton crops in this region. In the Alar reclamation, the main factors influencing the change in cultivated land area are cotton price, agricultural machinery gross power, and population. Consequently, implementing measures such as providing planting subsidies and other policy incentives to enhance planting income can effectively stimulate farmers’ willingness to engage in planting activities. Full article

China initiated a new collective forest tenure reform (CFTR) in 2003, which transferred the use rights of collective forest land and the ownership of collective trees to farmers. To assess the impact of the CFTR on timber production and to understand its underlying mechanisms, this study first conducted a theoretical analysis on how CFTR affects the production of commercial and non-commercial timber, leading to the provided hypotheses. Then, based on a panel dataset for 28 provinces from 1998 to 2018, a Time-varying Difference-in-Differences model was employed for empirical analysis. The results show that the CFTR led to an increase of 24.18% in commercial timber production and 34.37% in non-commercial timber production. The CFTR boosted the production of both types of timber initially, but the incremental effects were weakened over time. The incremental effects of the CFTR on commercial timber production was larger in regions with more collective forests. After the CFTR, the proportion of economic forest land in total forest land increased, contributing to a short-term rise in commercial timber production. In regions with higher timber market prices, reforms have a greater effect on increasing timber production, implying that farmers are more sensitive in their response to market values. Full article

The land factor in China still has many distortions which are the key constraints to economic development. The government intervention in land prices is the root cause of distortions in land factor. So, how to achieve the optimization land utilize through policy guidance is one of the most important issues. Using China’s city panel data from 2010 to 2020, this study assesses the economic impacts of the inter-provincial transfer of construction land indicators by synthetic difference-in-differences method and estimates the growth effect and equilibrium development effect of the policy, respectively. The results show that first, the differentiation of the land policy will give more land indicators to the backward regions, so that the local governments can obtain more land concession opportunities; thus, a more obvious “land finance” is formed and local economic growth is promoted; second, the differentiation of the land policy fails to promote the balanced development between regions, further expanding the development differences between regions. The findings of this study not only provide countermeasure suggestions for the area in China but can also be applied to many developing countries, especially those which are rapidly developing, to help the development of poor regions through targeted fiscal transfer policies. Full article

Few studies have analyzed the mixed effects of city size and land factors at the macro level on migrant socio-economic integration. On the basis of survey data on migrants in the Pearl River Delta Metropolitan Region (PRDMR), this study developed a system of multidimensional indicators for analyzing the degree of migrant socio-economic integration and factors influencing it. This study demonstrated the following: (1) The overall degree of socio-economic integration of migrants in the PRDMR was low. Factors including city size, hometown landholding, year of birth, education level, gender, and migratory duration exerted effects of varying extents on the degree of the socio-economic integration of migrants. (2) Better job positions were offered and infrastructure was more developed in first-tier cities, so the degree of migrant economic integration was higher, and the sense of identity was stronger in first-tier cities. Given the low housing prices in second-tier cities, migrants therein were more likely to buy a house and achieve family integration, and the degree of their social integration was stronger. (3) In terms of source landholding factors, the degree of socio-economic integration was relatively low among the migrants who owned arable land and homesteads, and who were born outside Guangdong Province. The study tries to measure the socio-economic integration of immigrants more comprehensively and provide reference for the implementation of differentiated socio-economic integration policies and land transfer policies in the immigration and emigration areas. Full article

In this paper, the allocation of charging station (CS) is optimized to alleviate the “range anxiety” of electric vehicle (EV) drivers by reducing the time of medium-to-long distance travel, which is raised due to the potential en-route charging. The problem is defined to explicitly consider the spatial differences in urban land price. Although many works take spatial land price into consideration, few of them notice what the gap of spatial land price bring to the charging system. Our objective function is the expected traveling time under an optimized distribution of urban EV flows, and models of spatial network and CSs allocation are then established. Based on Tabu Search algorithm (TSA), a fixed budget charging resources planning algorithm (FBCRPA) is proposed. The proposed method is compared with methods based on betweeness centrality, and results show that our method can find more effective allocation strategy. It is found that users’ traveling time would decrease with increase in difference in land price. Meanwhile, budget would transfer from central region to other regions and carrying capacity of charging system would improve in the above situation. This paper also finds that increase in budget is beneficial to a reduction in drivers’ time, but the improvement is limited. Full article