Land Use Policy最新文献

{"title":"The relationship between tourism activity, natural amenities, and second-home development: Insights for Land use planning","authors":"Marta Meleddu ,&nbsp;Dimitri Paolini ,&nbsp;Sandra Valeria Posadas Etcheverry","doi":"10.1016/j.landusepol.2025.107602","DOIUrl":"10.1016/j.landusepol.2025.107602","url":null,"abstract":"<div><div>Second-home development in regions with rich natural amenities can both enhance economic opportunities and pose environmental challenges, making sustainable planning crucial. These properties are closely tied to the preservation and well-being of their natural surroundings, and balanced development is essential for sustainable land use and economic growth in these areas. However, limited research has examined the direct interaction between second-home development, natural amenities, and their combined economic impacts. This study addresses this gap by examining the long-term causal relationship between second-homes and the expansion of natural amenities tourism. Monthly trends were analysed using expenditure data from foreign tourists in Italy from 2002 to 2019, employing univariate analysis of the structural models and multivariate Vector Error Correction Model (VECM) to examine the causality between second-home and natural amenities tourist expenditures. The findings reveal a causal link between second-homes expansion and the growth of natural amenities tourism, underscoring the importance of strategic spatial planning for sustainable growth in regions heavily dependent on second-home tourism.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"156 ","pages":"Article 107602"},"PeriodicalIF":6.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agrivoltaics increases public acceptance of solar energy production on agricultural land","authors":"Hendrik Hilmar Zeddies ,&nbsp;Martin Parlasca ,&nbsp;Matin Qaim","doi":"10.1016/j.landusepol.2025.107604","DOIUrl":"10.1016/j.landusepol.2025.107604","url":null,"abstract":"<div><div>Competition for land is a key challenge for decarbonized energy transitions. Open-space solar energy farms are gaining in importance but have large land requirements and displace agricultural production. Agrivoltaics offers a compromise, integrating solar panels into existing farming operations. However, adoption of Agrivoltaics remains limited, as it has lower energy output per hectare and higher installation costs than open-space solar. Here, we compare public attitudes towards Agrivoltaics and open-space solar in Germany, using experimental data from a nationally-representative sample. Participants were shown three images of a landscape that differed in terms of land use, namely an agricultural field without solar, an Agrivoltaics system, and an open-space solar system, together with some technical information. While both solar systems have perceived negative impacts on landscape attractiveness, the impacts are less negative for Agrivoltaics. In comparison to their regular electricity bill, 44 % of the participants expressed their willingness to pay more for electricity from Agrivoltaics, compared to 29 % for electricity from open-space solar. We also find a higher monetary willingness to pay for Agrivoltaics. These results hold across different agricultural systems, implying that Agrivoltaics could play an important role for socially-acceptable energy transitions. More widespread Agrivoltaics adoption may depend on targeted policy support.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"156 ","pages":"Article 107604"},"PeriodicalIF":6.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The geography of property rights: Land concentration, irrigation access and rural poverty under climate change in Chile","authors":"Eduardo Villavicencio-Pinto","doi":"10.1016/j.landusepol.2025.107578","DOIUrl":"10.1016/j.landusepol.2025.107578","url":null,"abstract":"<div><div>Property regimes influence territorial development through institutional frameworks that determine land access and resource distribution. This research examines the relationship between land concentration and rural poverty in Chile, where the property regime enables unrestricted accumulation. The investigation employs quantitative methods to analyze data from 253 municipalities, integrating Agricultural Census information, poverty measurements, and irrigation access indicators. Results indicate that land concentration increases poverty probability in municipalities with limited irrigation access, suggesting that property regimes generate differentiated territorial vulnerabilities through resource allocation mechanisms. The evidence demonstrates how institutional frameworks shape adaptation capacities unequally across territories, particularly relevant given climate projections indicating precipitation scarcity and warming trends for Chile. This research contributes to understanding how property rights systems influence territorial responses to environmental pressures, informing debates about institutional arrangements for land governance and climate adaptation. The findings suggest that effective territorial planning requires examining how property regimes mediate access to productive resources.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"156 ","pages":"Article 107578"},"PeriodicalIF":6.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of deep learning algorithms to model agricultural drought towards sustainable land management in Namibia's Omusati region","authors":"Selma Ndeshimona Iilonga ,&nbsp;Oluibukun Gbenga Ajayi","doi":"10.1016/j.landusepol.2025.107593","DOIUrl":"10.1016/j.landusepol.2025.107593","url":null,"abstract":"<div><div>Namibia's Omusati region, a semiarid agroecological zone, faces intensifying agricultural droughts driven by climate change, erratic rainfall, and land degradation. With 70 % of its population dependent on rain-fed subsistence farming, these droughts threaten food security, livelihoods, and ecological stability, highlighting the need for predictive tools to support sustainable land management. This study employs deep learning models to analyse remote sensing data from Moderate Resolution Imaging Spectroradiometer (MODIS), Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), and Global Land Data Assimilation System (GLDAS) data to predict drought drivers, such as the normalized difference vegetation index (NDVI), evapotranspiration, land surface temperature, rainfall, soil moisture, and leaf area index. Trend analysis revealed a drought index increase from 0.3 (2003–2015) to over 0.7 by 2022, with tree cover decreasing to 0.08 % by 2023 and bare ground expanding, indicating severe ecological degradation. Projections indicate an 8 % increase in drought probability by 2024, endangering 81 % of farmland. Convolutional neural networks (CNNs), long short-term memory networks (LSTMs), identify the NDVI and land surface temperature as key predictors, whereas Convolutional LSTM (ConvLSTM) provides spatial insight into high-risk zones, although with lower accuracy. These findings can guide targeted strategies for adopting drought-resistant crops, water-efficient irrigation, and soil conservation in vulnerable areas. We recommend integrating AI-driven drought forecasts into Namibia’s climate and land policies through real-time monitoring, community-led adaptation and interagency coordination to increase on-ground resilience.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"156 ","pages":"Article 107593"},"PeriodicalIF":6.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable management strategy to preserve Green Infrastructure Heritage. The traditional landscape of olive trees in the city of Ancona, Italy","authors":"Monica Pantaloni ,&nbsp;Matteo Zucchini ,&nbsp;Giovanni Zenobi ,&nbsp;Enrico Maria Lodolini ,&nbsp;Giovanni Marinelli ,&nbsp;Alberto Minelli ,&nbsp;Davide Neri","doi":"10.1016/j.landusepol.2025.107603","DOIUrl":"10.1016/j.landusepol.2025.107603","url":null,"abstract":"<div><div>Over the past century, urbanization has progressively led to the fragmentation and degradation of open spaces, including traditional landscapes such as olive orchards. The preservation of olive heritage in urban and peri-urban contexts is essential for biodiversity conservation, climate regulation, and cultural identity. However, despite their ecological and historical significance, ancient olive groves are increasingly neglected due to urban expansion, the gradual loss of natural and agricultural resources, financial constraints, and the absence of targeted planning policies. To counteract this trend, integrated strategies that combine planning procedures with participatory management approaches and active citizen engagement are necessary. This study investigates a holistic approach to olive tree preservation through the case study of Ancona, where a participatory management framework was tested within the existing urban planning system. By integrating territorial assessment, planning tool analysis, and socio-economic strategies, the study proposes a scalable three-step methodology aimed at safeguarding landscape heritage while fostering social inclusion and economic sustainability. The results underscore that active citizen involvement and multi-stakeholder collaboration are critical factors for ensuring the long-term viability of preservation programs. Furthermore, the study highlights the necessity of policy innovation and the implementation of financial mechanisms, such as agri-environmental agreements and heritage conservation incentives, to enhance the economic sustainability of these initiatives. Ultimately, this research contributes to the broader discourse on integrating green infrastructure and cultural landscape preservation into urban and regional planning, offering a replicable model for strengthening the resilience of olive heritage in urbanized contexts.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"156 ","pages":"Article 107603"},"PeriodicalIF":6.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling Brazil's approach: Policy and governance gaps for social innovation in forest and landscape restoration","authors":"Aurelio Padovezi ,&nbsp;Alice Ludvig ,&nbsp;Gerhard Weiss ,&nbsp;Robin L. Chazdon ,&nbsp;Todora Rogelja ,&nbsp;Cristina Adams ,&nbsp;Laura Secco","doi":"10.1016/j.landusepol.2025.107583","DOIUrl":"10.1016/j.landusepol.2025.107583","url":null,"abstract":"<div><div>Social Innovative - Forest and Landscape Restoration (SI-FLR) describes a process in which social innovation (SI) drives forest and landscape restoration (FLR), improving local livelihoods and delivering nature's contributions to people. This paper reveals policy gaps hindering SI-FLR approach in Brazil and offers recommendations to leverage its advancement, incorporating insights from the Brazilian context and international best practices and experiences. Brazilian policy documents in force in 2022 were analysed through the lens of five conceptual bridges of the SI-FLR framework. Applying a deductive approach and text-mining techniques, 91 SI-FLR-enabling policy instruments were identified, and the governance structures ruling them were mapped. Four major gaps emerged: (1) a lack of political will for the environmental agenda; (2) poor political coordination, resulting from the fragmentation of the mapped governance structures; (3) a missing landscape governance approach, reflecting the disconnection between these structures, restoration activities and value chains associated; and (4) a citizen science gap in innovation policy, highlighting the insufficiency of instruments promoting collaboration between public research and innovation institutions and local communities to address local social challenges. We conclude with two strategic recommendations: (1) structuring a National Landscape Restoration Governance System dedicated to improving policy coordination and landscape governance and (2) developing a regulatory instrument bringing citizen science to the research and innovation policy, increasing collaborative partnerships, innovation policy instruments and encouraging socioecological innovators. These recommendations represent a first step towards leveraging SI in the Brazilian FLR effort and may inspire other countries to expand the role of social innovators in developing nature-based solutions.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"155 ","pages":"Article 107583"},"PeriodicalIF":6.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143933368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does the three rights separation of rural homestead (TRSRH) impact farmers’ sense of gain: Evidence from typical pilot areas for rural homestead reform in China","authors":"Zhaolin Wang ,&nbsp;Yingying Wang ,&nbsp;Guohua Bi","doi":"10.1016/j.landusepol.2025.107591","DOIUrl":"10.1016/j.landusepol.2025.107591","url":null,"abstract":"<div><div>The three rights separation of rural homestead (TRSRH) in China represents a pivotal policy innovation aimed at facilitating the transfer of rural homesteads and fostering their efficient utilization. Here, we developed a conceptual framework and combined empirical investigation from China’s 10 pilot areas for rural homestead reform, using the Coupling Coordination Degree Model (CCDM) and Propensity Score Matching-Difference in Differences (PSM-DID) to examine how the implementation of the TRSRH impacts the farmers’ senses of gain. Our findings uncover that: i) The TRSRH significantly improves farmers’ senses of gain and the Coupling Coordination Degree (CCD) of their senses of gain, this conclusion is still valid after a variety of robustness tests. ii) The impacts of the TRSRH on farmers’ multidimensional senses of gain exhibit significant differences. The policy has the strongest influence on their sense of economic gain and social security gain, followed by sense of social relationship gain, while its impact on their sense of production and life gain was comparatively weak. iii) The impacts of the TRSRH on the farmers’ sense of gain varies across locations. The most significant effects are observed in outer suburbs villages, while the impacts are weaker in suburban and remote villages. Additionally, the TRSRH might lead to farmers’ non-comprehensive development and exacerbate rural development imbalance across different locational villages. The findings can provide valuable insights for the formulation of the rural homestead reform policies in China.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"155 ","pages":"Article 107591"},"PeriodicalIF":6.0,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial-temporal evolution and coupling coordination of land use functions across China by fusing multiple-source heterogeneous data","authors":"Fangxin Chen ,&nbsp;Yurui Li ,&nbsp;Yansui Liu","doi":"10.1016/j.landusepol.2025.107590","DOIUrl":"10.1016/j.landusepol.2025.107590","url":null,"abstract":"<div><div>Recognizing the coupling coordination of land use functions (LUFs) at the national scale is strategically important for effective land use management. This study developed a theoretical analytical framework and established an evaluation system for LUFs was using multiple-source heterogeneous data. Additionally, the spatial-temporal evolution and coupling coordination of LUFs across China from 2001 to 2020 were analyzed using time-series variation methods and coupling coordination degree (CCD) model. The findings revealed the production function (PF) consistently increased over the past 20 years, while the living function (LF) and ecological function (EF) showed a slight decline followed by a recovery. Cities in central and western China have expanded into high-quality farmland, yet economic development remains insufficient, and PF is declining. In remote southern rural areas, PF has fallen due to farmland abandonment, while the PF gap between plains and mountainous areas continuously widens. Population decline led to a reduction in demand for education and medical services, resulting in a decline in LF. Additionally, the CCD of LUFs in China significantly increased, with 79.4 % of areas showing positive trends, mainly exponential and linear growth. Negative trends primarily exhibited a logarithmic weakening pattern. Improvements in LUFs coupling coordination were delayed, while deterioration occurred earlier at interprovincial borders. PF was the leading factor driving changes in LUFs coupling coordination. This study not only provides data processing methods for identifying LUFs but also offers new insights into the dynamics of LUFs coupling coordination.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"155 ","pages":"Article 107590"},"PeriodicalIF":6.0,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Connecting land tenure to climate change","authors":"Uchendu Eugene Chigbu","doi":"10.1016/j.landusepol.2025.107587","DOIUrl":"10.1016/j.landusepol.2025.107587","url":null,"abstract":"<div><div>Despite its pivotal role in shaping global climate change policies, the United Nations Framework Convention on Climate Change (UNFCCC) has not entirely put land tenure at the centre of its climate change efforts. We used this scientific viewpoint to situate climate change as an inter-, intra-, trans-, cross-, multi-disciplinary and multi-sectoral subject. We methodologically framed our argument on a positionality statement that used desktop and Artificial intelligence investigations to show that no UNFCCC decisions or resolutions have explicitly focused on land tenure. On this basis, we sought to establish the connection between land tenure and climate change to encourage the UNFCCC and other stakeholders engaged in the climate change discourse to make land tenure a Centrepoint of the climate change effort. To argue that land tenure and climate change are related, we illustrated the role and importance of land tenure in climate change. Finally, we concluded that since land tenure and climate change are connected, the success of climate actions depends on land tenure.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"155 ","pages":"Article 107587"},"PeriodicalIF":6.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unequal partnerships: Asymmetrical effects of urban economic linkages on land-use efficiency in 284 cities, China","authors":"Shuyu Zhang ,&nbsp;Fei Wei ,&nbsp;Yanji Zhang ,&nbsp;Yayu Li ,&nbsp;Lingjia Zhu ,&nbsp;Huagui Guo","doi":"10.1016/j.landusepol.2025.107585","DOIUrl":"10.1016/j.landusepol.2025.107585","url":null,"abstract":"<div><div>As urbanization progresses, efficient land resource management is essential for sustainable urban development. While existing studies emphasize the positive impact of urban economic linkages (UEL) on urban land-use efficiency (ULUE), they often assume equal partnerships, overlooking the asymmetric nature of UEL. This study uses a modified gravity model and super-efficiency SBM model to explore the impact of unequal economic linkages within the UEL network on ULUE across 284 Chinese cities from 2002 to 2021. The findings reveal that ULUE increased until 2017 but declined thereafter. Cities in the southeastern coastal regions show higher ULUE, while those in the northeast exhibit lower efficiency. The Tobit model analysis indicates that cities with greater dominance in the UEL network tend to have higher ULUE, while those more dependent on external economies experience lower ULUE. Robustness checks confirm the stability of these results across different model specifications. The study underscores the importance of fostering more balanced economic linkages and advocates for policy reforms aimed at enhancing urban economic integration to improve ULUE across cities.</div></div>","PeriodicalId":17933,"journal":{"name":"Land Use Policy","volume":"155 ","pages":"Article 107585"},"PeriodicalIF":6.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}