{"type": "FeatureCollection", "features": [{"id": "10.1016/j.foodres.2024.114342", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:05Z", "type": "Journal Article", "created": "2024-04-23", "title": "Microplastics in seafood: Consumer preferences and valuation for mitigation technologies", "description": "Abstract         <p>Microplastics, an emerging pollutant, have garnered widespread attention due to potential repercussions on human health and the environment. Given the critical role of seafood in food security, growing concerns about microplastics might be detrimental to meeting future global food demand. This study employs a discrete choice experiment to investigate Chilean consumers' preferences for technology aimed at mitigating microplastic levels in mussels. Using a between-subjects design with information treatments, we examined the impact of informing consumers about potential human health and environmental effects linked to microplastics pollution on their valuation for the technology. We found that the information treatments increased consumers\uffe2\uff80\uff99 willingness to pay for them. Specifically, consumers\uffe2\uff80\uff99 willingness to pay for mussels with a 90% depuration efficiency certification is around US$ 4. The provision of health impact information increased the price premium by 56%, while the provision of environmental information increased it by 21%. Furthermore, combined health and environmental information significantly increased the probability of non-purchasing behavior by 22.8% and the risk perception of microplastics for human health by 5.8%. These results emphasize the critical role of information in shaping consumer preferences and provide evidence for validating investment in research and development related to microplastic pollution mitigation measures.</p", "keywords": ["Male", "11 Ciudades y comunidades sostenibles", "Economics", "Strategy and Management", "Microplastics", "Social Sciences", "Choice Behavior", "01 natural sciences", "Microplastics pollution", "Natural resource economics", "11. Sustainability", "11 Sustainable Cities and Communities", "Microeconomics", "Willingness to pay", "Business", "Chile", "Environmental resource management", "Marketing", "2. Zero hunger", "12 Producci\u00f3n y consumo responsable", "Ecology", "Middle Aged", "Microplastic Pollution in Marine and Terrestrial Environments", "Pollution", "Management", "3. Good health", "Economics", " Econometrics and Finance", "Mitigation technology", "Environmental health", "14 Vida submarina", "Physical Sciences", "Medicine", "Female", "Information treatment", "12 Responsible Consumption and Production", "Adult", "06 Clean Water and Sanitation", "Economics and Econometrics", "Certification", "06 Agua limpia y saneamiento", "330", "Environmental economics", "Discrete Choice Models in Economics and Health Care", "Food Contamination", "Business", " Management and Accounting", "12. Responsible consumption", "FOS: Economics and business", "Young Adult", "Humans", "Animals", "Conceptualizing the Circular Economy and Sustainable Supply Chains", "14. Life underwater", "Discrete Choice Experiment", "Biology", "0105 earth and related environmental sciences", "9. Industry and infrastructure", "Human health", "Valuation (finance)", "Consumer Behavior", "14 Life Below Water", "Purchasing", "Bivalvia", "Seafood", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Water Pollutants", " Chemical", "Finance"]}, "links": [{"href": "https://doi.org/10.1016/j.foodres.2024.114342"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Food%20Research%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foodres.2024.114342", "name": "item", "description": "10.1016/j.foodres.2024.114342", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foodres.2024.114342"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.1016/j.forpol.2013.06.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:13Z", "type": "Journal Article", "created": "2013-07-11", "title": "Investing In Energy Forestry Under Uncertainty", "description": "Abstract   Farmer's decisions to invest in renewable energy sources can contribute to lower greenhouse gas and mitigate climate change. However, it remains unclear how associated high sunk establishment costs, long-term commitment, highly uncertain net returns, and policy induced incentives could drive farmer's decision to afforest agricultural land. A real option model is used to theoretically frame the decision to switch from agriculture to energy forestry. Optimal investment timing is modeled and the functioning of government subsidies offered to speed up the switch to energy forestry is analyzed. The empirical analysis examines the establishment of new short-rotation coppice willow stands in Central East Sweden. It is shown that in the presence of volatile agricultural profits and high establishment costs, subsidies are needed to accelerate investment. We then examine the case of the municipality of Enkoping and show that the combination of governmental subsidies for energy forestry with compensation for sewage sludge treatment provides an effective stimulus to investment in new willow stands which also has environmental benefits.", "keywords": ["0106 biological sciences", "Economics and Econometric", "Monitoring", "Policy and Law", "Sociology and Political Science", "05 social sciences", "Forestry", "15. Life on land", "01 natural sciences", "7. Clean energy", "Short-rotation willow coppice", "Management", "12. Responsible consumption", "Bioenergy policy", "13. Climate action", "0502 economics and business", "Investment analysi", "Real option", "Bioenergy policy; Investment analysis; Real options; Short-rotation willow coppice; Forestry; Economics and Econometrics; Management; Monitoring; Policy and Law; Sociology and Political Science"]}, "links": [{"href": "https://doi.org/10.1016/j.forpol.2013.06.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Policy%20and%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.forpol.2013.06.001", "name": "item", "description": "10.1016/j.forpol.2013.06.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.forpol.2013.06.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-09-01T00:00:00Z"}}, {"id": "10.1016/j.forpol.2021.102504", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:13Z", "type": "Journal Article", "created": "2021-05-18", "title": "Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon", "description": "Open AccessLa protecci\u00f3n de los bosques en tierras de propiedad privada es una piedra angular del marco de la pol\u00edtica ambiental brasile\u00f1a. La legislaci\u00f3n brasile\u00f1a exige que todas las fincas del pa\u00eds mantengan y protejan las \u00e1reas forestales conocidas como Reservas Legales. Dado que las Reservas Legales tienen importantes implicaciones para la protecci\u00f3n de los bosques y la producci\u00f3n agr\u00edcola, es clave que entendamos las percepciones de los propietarios de tierras hacia las Reservas Legales. Aplicamos la metodolog\u00eda Q para identificar diferentes perspectivas de los propietarios medianos y grandes sobre las Reservas Legales y su relaci\u00f3n con la intensificaci\u00f3n agr\u00edcola en el municipio de Paragominas, en la Amazon\u00eda oriental. Realizamos 31 entrevistas en las que los propietarios ordenaron 36 declaraciones en una matriz de distribuci\u00f3n casi normal. Se identificaron tres grupos de propietarios de tierras: 1) los entusiastas de la planificaci\u00f3n del uso de la tierra (n = 16) estaban interesados en iniciativas de zonificaci\u00f3n para explorar dise\u00f1os de paisajes alternativos y legislaci\u00f3n que puedan ofrecer mejores resultados de conservaci\u00f3n y producci\u00f3n; 2) los partidarios de la agricultura basada en agroqu\u00edmicos (n = 7) ten\u00edan los puntos de vista m\u00e1s cr\u00edticos contra las Reservas Legales y percib\u00edan sus costos como m\u00e1s altos que los posibles beneficios ambientales y de calidad de vida; 3) los respondedores del mercado complacientes con las pol\u00edticas (n = 4) no mostraron inter\u00e9s en las reformas de las Reservas Legales y fueron el grupo m\u00e1s impulsado por el mercado. Si bien Paragominas ha logrado \u00e9xitos notables en detener la deforestaci\u00f3n a gran escala a trav\u00e9s de un pacto social de 'Municipio Verde', abordar la persistente degradaci\u00f3n y fragmentaci\u00f3n de los bosques en la regi\u00f3n sigue siendo una prioridad clave. Las iniciativas de gobernanza local que tienen en cuenta las percepciones de m\u00faltiples partes interesadas sobre la protecci\u00f3n de los bosques pueden fomentar el di\u00e1logo y el entendimiento mutuo para conservar y restaurar eficazmente las Reservas Legales. Los conocimientos sobre las percepciones de los grandes terratenientes sobre las Reservas Legales pueden informar dichos procesos de gobernanza para conciliar la protecci\u00f3n forestal y la intensificaci\u00f3n agr\u00edcola sostenible en Paragominas.", "keywords": ["Amazonas (Brasil)", "Economics", "FOS: Political science", "SAO-FELIX", "Social Sciences", "NEEDS", "01 natural sciences", "Agricultural and Biological Sciences", "Reservas Forestales", "Natural resource economics", "conservation des for\u00eats", "FRONTIER", "Stakeholder", "11. Sustainability", "Business", "Environmental resource management", "intensification", "Political science", "Legal Reserve", "Environmental planning", "2. Zero hunger", "Global and Planetary Change", "Forest Reserves", "Corporate governance", "Geography", "Ecology", "[SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture", " economy and politics", "Forest protection", "Life Sciences", "Agriculture", "Amazonas (Brazil)", "04 agricultural and veterinary sciences", "Brazilian Amazon", "LAND CONFLICT", "STATE", "Land Tenure and Property Rights in Agriculture", "Management", "Programming language", "Economics", " Econometrics and Finance", "Archaeology", "Physical Sciences", "d\u00e9boisement", "Biodiversity Conservation", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "Forest Protection", "Forest conservation", "Economics and Econometrics", "propri\u00e9taire foncier", "Conservaci\u00f3n de la Diversidad Biol\u00f3gica", "Amazon rainforest", "Legislation", "Discrete Choice Models in Economics and Health Care", "Soil Science", "FOS: Law", "12. Responsible consumption", "Farmer perceptions", "SYSTEMS", "politique de l'environnement", "Agroforestry", "Biology", "Legal Pluralism", "0105 earth and related environmental sciences", "Protecci\u00f3n Forestal", "Agricultural intensification", "15. Life on land", "Computer science", "Q methodology", "Deforestation (computer science)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "r\u00e9serve foresti\u00e8re", "r\u00e9serve naturelle", "0401 agriculture", " forestry", " and fisheries", "d\u00e9gradation des for\u00eats", "BIODIVERSITY", "DEFORESTATION", "Drivers and Impacts of Tropical Deforestation", "Law", "Finance"]}, "links": [{"href": "https://doi.org/10.1016/j.forpol.2021.102504"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Policy%20and%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.forpol.2021.102504", "name": "item", "description": "10.1016/j.forpol.2021.102504", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.forpol.2021.102504"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "10.1016/j.jclepro.2020.125466", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:25Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.jclepro.2020.125466"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jclepro.2020.125466", "name": "item", "description": "10.1016/j.jclepro.2020.125466", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jclepro.2020.125466"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1111/j.1530-9290.2012.00540.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:50Z", "type": "Journal Article", "created": "2012-11-22", "title": "Integrated Economic Equilibrium And Life Cycle Assessment Modeling For Policy-Based Consequential Lca", "description": "Summary<p>Consequential life cycle assessment (CLCA) has emerged as a tool for estimating environmental impacts of changes in product systems that go beyond physical relationships accounted for in attributional LCA (ALCA). This study builds on recent efforts to use more complex economic models for policy\uffe2\uff80\uff90based CLCA. A partial market equilibrium (PME) model, called the U.S. Forest Products Module (USFPM), is combined with LCA to analyze an energy demand scenario in which wood use increases 400 million cubic meters in the United States for ethanol production. Several types of indirect economic and environmental impacts are identified and estimated using USFPM\uffe2\uff80\uff90LCA. A key finding is that if wood use for biofuels increases to high levels and mill residue is used for biofuels and replaced by natural gas for heat and power in forest products mills, then the increased greenhouse gas emissions from natural gas could offset reductions obtained by substituting biofuels for gasoline. Such high levels of biofuel demand, however, appear to have relatively low environmental impacts across related forest product sectors.</p>", "keywords": ["690", "Industrial ecology", "2300 Environmental Science", "Energy demand", "Consequential life cycle assessment (CLCA)", "2002 Economics and Econometrics", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "12. Responsible consumption", "Biofuel", "Partial equilibrium modeling", "13. Climate action", "3300 Social Sciences", "0202 electrical engineering", " electronic engineering", " information engineering", "Forest economics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1530-9290.2012.00540.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Industrial%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1530-9290.2012.00540.x", "name": "item", "description": "10.1111/j.1530-9290.2012.00540.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1530-9290.2012.00540.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-21T00:00:00Z"}}, {"id": "10.60692/9nxrv-e7y75", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:55Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/10.60692/9nxrv-e7y75"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/9nxrv-e7y75", "name": "item", "description": "10.60692/9nxrv-e7y75", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/9nxrv-e7y75"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "20.500.12123/10635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:04Z", "type": "Journal Article", "created": "2021-05-18", "title": "Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon", "description": "Open AccessLa protecci\u00f3n de los bosques en tierras de propiedad privada es una piedra angular del marco de la pol\u00edtica ambiental brasile\u00f1a. La legislaci\u00f3n brasile\u00f1a exige que todas las fincas del pa\u00eds mantengan y protejan las \u00e1reas forestales conocidas como Reservas Legales. Dado que las Reservas Legales tienen importantes implicaciones para la protecci\u00f3n de los bosques y la producci\u00f3n agr\u00edcola, es clave que entendamos las percepciones de los propietarios de tierras hacia las Reservas Legales. Aplicamos la metodolog\u00eda Q para identificar diferentes perspectivas de los propietarios medianos y grandes sobre las Reservas Legales y su relaci\u00f3n con la intensificaci\u00f3n agr\u00edcola en el municipio de Paragominas, en la Amazon\u00eda oriental. Realizamos 31 entrevistas en las que los propietarios ordenaron 36 declaraciones en una matriz de distribuci\u00f3n casi normal. Se identificaron tres grupos de propietarios de tierras: 1) los entusiastas de la planificaci\u00f3n del uso de la tierra (n = 16) estaban interesados en iniciativas de zonificaci\u00f3n para explorar dise\u00f1os de paisajes alternativos y legislaci\u00f3n que puedan ofrecer mejores resultados de conservaci\u00f3n y producci\u00f3n; 2) los partidarios de la agricultura basada en agroqu\u00edmicos (n = 7) ten\u00edan los puntos de vista m\u00e1s cr\u00edticos contra las Reservas Legales y percib\u00edan sus costos como m\u00e1s altos que los posibles beneficios ambientales y de calidad de vida; 3) los respondedores del mercado complacientes con las pol\u00edticas (n = 4) no mostraron inter\u00e9s en las reformas de las Reservas Legales y fueron el grupo m\u00e1s impulsado por el mercado. Si bien Paragominas ha logrado \u00e9xitos notables en detener la deforestaci\u00f3n a gran escala a trav\u00e9s de un pacto social de 'Municipio Verde', abordar la persistente degradaci\u00f3n y fragmentaci\u00f3n de los bosques en la regi\u00f3n sigue siendo una prioridad clave. Las iniciativas de gobernanza local que tienen en cuenta las percepciones de m\u00faltiples partes interesadas sobre la protecci\u00f3n de los bosques pueden fomentar el di\u00e1logo y el entendimiento mutuo para conservar y restaurar eficazmente las Reservas Legales. Los conocimientos sobre las percepciones de los grandes terratenientes sobre las Reservas Legales pueden informar dichos procesos de gobernanza para conciliar la protecci\u00f3n forestal y la intensificaci\u00f3n agr\u00edcola sostenible en Paragominas.", "keywords": ["Amazonas (Brasil)", "Economics", "FOS: Political science", "SAO-FELIX", "http://aims.fao.org/aos/agrovoc/c_16141", "Social Sciences", "NEEDS", "01 natural sciences", "Agricultural and Biological Sciences", "Reservas Forestales", "Natural resource economics", "conservation des for\u00eats", "FRONTIER", "K01 - Foresterie - Consid\u00e9rations g\u00e9n\u00e9rales", "Stakeholder", "11. Sustainability", "Business", "Environmental resource management", "intensification", "Political science", "Legal Reserve", "Environmental planning", "2. Zero hunger", "Global and Planetary Change", "Forest Reserves", "Corporate governance", "Geography", "Ecology", "[SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture", " economy and politics", "Forest protection", "Life Sciences", "Agriculture", "Amazonas (Brazil)", "04 agricultural and veterinary sciences", "Brazilian Amazon", "LAND CONFLICT", "STATE", "Land Tenure and Property Rights in Agriculture", "Management", "Programming language", "E11 - \u00c9conomie et politique fonci\u00e8res", "Economics", " Econometrics and Finance", "Archaeology", "http://aims.fao.org/aos/agrovoc/c_4184", "Physical Sciences", "d\u00e9boisement", "Biodiversity Conservation", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "Forest Protection", "Forest conservation", "Economics and Econometrics", "propri\u00e9taire foncier", "Conservaci\u00f3n de la Diversidad Biol\u00f3gica", "Amazon rainforest", "Legislation", "Discrete Choice Models in Economics and Health Care", "Soil Science", "http://aims.fao.org/aos/agrovoc/c_15590", "FOS: Law", "http://aims.fao.org/aos/agrovoc/c_331593", "12. Responsible consumption", "Farmer perceptions", "SYSTEMS", "politique de l'environnement", "http://aims.fao.org/aos/agrovoc/c_1374158672853", "K70 - D\u00e9g\u00e2ts caus\u00e9s aux for\u00eats et leur protection", "Agroforestry", "http://aims.fao.org/aos/agrovoc/c_2597", "Biology", "Legal Pluralism", "0105 earth and related environmental sciences", "Protecci\u00f3n Forestal", "http://aims.fao.org/aos/agrovoc/c_28136", "Agricultural intensification", "15. Life on land", "Computer science", "Q methodology", "Deforestation (computer science)", "13. Climate action", "http://aims.fao.org/aos/agrovoc/c_33485", "FOS: Biological sciences", "Environmental Science", "r\u00e9serve foresti\u00e8re", "r\u00e9serve naturelle", "0401 agriculture", " forestry", " and fisheries", "d\u00e9gradation des for\u00eats", "BIODIVERSITY", "DEFORESTATION", "Drivers and Impacts of Tropical Deforestation", "Law", "Finance"]}, "links": [{"href": "https://doi.org/20.500.12123/10635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Policy%20and%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12123/10635", "name": "item", "description": "20.500.12123/10635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12123/10635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "3111070593", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:42Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. 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Given the critical role of seafood in food security, growing concerns about microplastics might be detrimental to meeting future global food demand. This study employs a discrete choice experiment to investigate Chilean consumers' preferences for technology aimed at mitigating microplastic levels in mussels. Using a between-subjects design with information treatments, we examined the impact of informing consumers about potential human health and environmental effects linked to microplastics pollution on their valuation for the technology. We found that the information treatments increased consumers\uffe2\uff80\uff99 willingness to pay for them. Specifically, consumers\uffe2\uff80\uff99 willingness to pay for mussels with a 90% depuration efficiency certification is around US$ 4. The provision of health impact information increased the price premium by 56%, while the provision of environmental information increased it by 21%. Furthermore, combined health and environmental information significantly increased the probability of non-purchasing behavior by 22.8% and the risk perception of microplastics for human health by 5.8%. These results emphasize the critical role of information in shaping consumer preferences and provide evidence for validating investment in research and development related to microplastic pollution mitigation measures.</p", "keywords": ["Male", "11 Ciudades y comunidades sostenibles", "Economics", "Strategy and Management", "Microplastics", "Social Sciences", "Choice Behavior", "01 natural sciences", "Microplastics pollution", "Natural resource economics", "11. Sustainability", "11 Sustainable Cities and Communities", "Microeconomics", "Willingness to pay", "Business", "Chile", "Environmental resource management", "Marketing", "2. Zero hunger", "12 Producci\u00f3n y consumo responsable", "Ecology", "Middle Aged", "Microplastic Pollution in Marine and Terrestrial Environments", "Pollution", "Management", "3. Good health", "Economics", " Econometrics and Finance", "Mitigation technology", "Environmental health", "14 Vida submarina", "Physical Sciences", "Medicine", "Female", "Information treatment", "12 Responsible Consumption and Production", "Adult", "06 Clean Water and Sanitation", "Economics and Econometrics", "Certification", "06 Agua limpia y saneamiento", "330", "Environmental economics", "Discrete Choice Models in Economics and Health Care", "Food Contamination", "Business", " Management and Accounting", "12. Responsible consumption", "FOS: Economics and business", "Young Adult", "Humans", "Animals", "Conceptualizing the Circular Economy and Sustainable Supply Chains", "14. Life underwater", "Discrete Choice Experiment", "Biology", "0105 earth and related environmental sciences", "9. 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