99 research outputs found
Ăvaluation et rĂ©gulation de lâeffet de serre dâorigine agricole
Nous examinons la contribution du secteur agricole aux Ă©missions de gaz Ă effet de serre ainsi que lâimpact de mesures de rĂ©gulation. Ă partir dâun modĂšle Ă©conomique de lâoffre agricole française Ă fort contenu technique, nous mesurons la contribution des activitĂ©s animales et vĂ©gĂ©tales Ă lâaccumulation de mĂ©thane et de protoxyde dâazote et au stockage du carbone dans le sol et la partie aĂ©rienne des plantes. Nous donnons ensuite un Ă©clairage prospectif sur la rĂ©action Ă court et moyen terme de lâoffre agricole Ă lâapplication de diffĂ©rents schĂ©mas de taxation. Dans un premier temps, nous donnons une apprĂ©ciation de lâimpact dâun schĂ©ma de premier rang et discutons de lâintĂ©rĂȘt dâune incitation au reboisement des terres en jachĂšre. BasĂ©es sur les donnĂ©es techniques disponibles, les taxes et primes reposent directement sur les niveaux dâĂ©missions que lâagence environnementale est supposĂ©e mesurer parfaitement. Dans une optique de second rang fondĂ©e sur la taxation de facteurs observables Ă moindre coĂ»t, nous examinons ensuite lâeffet : (i) dâune taxe sur lâalimentation achetĂ©e et (ii) dâune taxe sur lâanimal. Le principal rĂ©sultat est que lâincitation au reboisement constitue un instrument efficace de rĂ©gulation de lâeffet de serre dâorigine agricole, alors que les schĂ©mas de taxe de second rang sur lâactivitĂ© de production animale apparaissent relativement inefficaces.The aim of this paper is to study the modification of the greenhouse gas concentration in the atmosphere due to agricultural activities, and the impact of the implementation of regulation policy tools. From a supply-side model of the French agriculture, we estimate the contribution of cultivation and animal husbandry in terms of methane and nitrous oxide, taking also into account carbon storage in soils and plants. We then compare the effects of different tax schemes on agricultural supply in the short and mid run. We first focus on first best schemes. In this case, the taxes and subsidies are directly based on net emission levels that are assumed to be perfectly observed by the environmental agency. In this framework, we particularly discuss the opportunity of an incentive scheme proposed to producers in order to reafforest on set-aside land. Then we turn to the case of second best regulation tools based on the taxation of factors which are observable at lower cost, that is to say taxes on market feed and livestock. The incentive to reafforestation appears to be an effective means to regulate agricultural greenhouse gas emissions. It is much more socially acceptable than second best policy tools including taxes on activities derived from livestock
Ăvaluation et rĂ©gulation de lâeffet de serre dâorigine agricole
The aim of this paper is to study the modification of the greenhouse gas concentration in the atmosphere due to agricultural activities, and the impact of the implementation of regulation policy tools. From a supply-side model of the French agriculture, we estimate the contribution of cultivation and animal husbandry in terms of methane and nitrous oxide, taking also into account carbon storage in soils and plants. We then compare the effects of different tax schemes on agricultural supply in the short and mid run. We first focus on first best schemes. In this case, the taxes and subsidies are directly based on net emission levels that are assumed to be perfectly observed by the environmental agency. In this framework, we particularly discuss the opportunity of an incentive scheme proposed to producers in order to reafforest on set-aside land. Then we turn to the case of second best regulation tools based on the taxation of factors which are observable at lower cost, that is to say taxes on market feed and livestock. The incentive to reafforestation appears to be an effective means to regulate agricultural greenhouse gas emissions. It is much more socially acceptable than second best policy tools including taxes on activities derived from livestock. Nous examinons la contribution du secteur agricole aux Ă©missions de gaz Ă effet de serre ainsi que lâimpact de mesures de rĂ©gulation. Ă partir dâun modĂšle Ă©conomique de lâoffre agricole française Ă fort contenu technique, nous mesurons la contribution des activitĂ©s animales et vĂ©gĂ©tales Ă lâaccumulation de mĂ©thane et de protoxyde dâazote et au stockage du carbone dans le sol et la partie aĂ©rienne des plantes. Nous donnons ensuite un Ă©clairage prospectif sur la rĂ©action Ă court et moyen terme de lâoffre agricole Ă lâapplication de diffĂ©rents schĂ©mas de taxation. Dans un premier temps, nous donnons une apprĂ©ciation de lâimpact dâun schĂ©ma de premier rang et discutons de lâintĂ©rĂȘt dâune incitation au reboisement des terres en jachĂšre. BasĂ©es sur les donnĂ©es techniques disponibles, les taxes et primes reposent directement sur les niveaux dâĂ©missions que lâagence environnementale est supposĂ©e mesurer parfaitement. Dans une optique de second rang fondĂ©e sur la taxation de facteurs observables Ă moindre coĂ»t, nous examinons ensuite lâeffet : (i) dâune taxe sur lâalimentation achetĂ©e et (ii) dâune taxe sur lâanimal. Le principal rĂ©sultat est que lâincitation au reboisement constitue un instrument efficace de rĂ©gulation de lâeffet de serre dâorigine agricole, alors que les schĂ©mas de taxe de second rang sur lâactivitĂ© de production animale apparaissent relativement inefficaces.
Biofuel Policies in the Presence of Environmental Externalities Preliminary Version (Please do not quote)
Abstract The objective of this paper is to compare, in a general equilibrium setting with three goods, the relative efficiency of biofuel subsidy and biofuel mandate policies with the laissez-faire solution. The outcomes of these institutional arrangements are also compared to that of the optimal solution. This analysis takes into account several environmental externalities such as those associated with the production of biofuels. Our numerical results, applied to the biodiesel policy of France in 2006, show that both policies decrease the utility of the representative consumer compared to the laissez-faire solution. The biofuel subsidy policy also increases overall emissions
FAPRI 2001 U.S. and World Agricultural Outlook
The Food and Agricultural Policy Research Institute (FAPRI) prepares a preliminary agricultural outlook on world agricultural production, consumption, and trade every fall. This is followed by an outside review, re-evaluation of projections, and completion of the final baseline. The FAPRI 2001 U.S. and World Agricultural Outlook presents these final projections for domestic and world agricultural markets
FAPRI 2002 World Agricultural Outlook
The FAPRI 2002 World Agricultural Outlook presents final projections of FAPRIâs agricultural outlook on world agricultural production, consumption, and trade. FAPRI projections assume average weather patterns worldwide, existing policy, policy commitments under current trade agreements, and recent policy changes such as the accession of China and Taiwan to the WTO. FAPRI projections do not include conjectures on potential policy changes. The major macroeconomic drivers of the 2002 FAPRI baseline are the deepening crisis in Argentina, the U.S. dollarâs continuing strength relative to most other currencies, and the progressive recovery of economic activities in most OECD countries over the next two years
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10â20 meter), revisit frequency (five days) and coverage (global). In this context, the European Space Agency launched in 2014 the âSentinelÂ2 for Agricultureâ project, which aims to prepare the exploitation of Sentinel-2 data for agriculture monitoring through the development of open source processing chains for relevant products. The project generated an unprecedented data set, made of âSentinel-2 likeâ time series and in situ data acquired in 2013 over 12 globally distributed sites. Earth Observation time series were mostly built on the SPOT4 (Take 5) data set, which was specifically designed to simulate Sentinel-2. They also included Landsat 8 and RapidEye imagery as complementary data sources. Images were pre-processed to Level 2A and the quality of the resulting time series was assessed. In situ data about cropland, crop type and biophysical variables were shared by site managers, most of them belonging to the âJoint Experiment for Crop Assessment and Monitoringâ network. This data set allowed testing and comparing across sites the methodologies that will be at the core of the future âSentinelÂ2 for Agricultureâ system.Instituto de Clima y AguaFil: Bontemps, Sophie. UniversitĂ© Catholique de Louvain. Earth and Life Institute; BĂ©lgicaFil: Arias, Marcela. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Cara, Cosmin. CS Romania S.A.; RumaniaFil: Dedieu, GĂ©rard. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Guzzonato, Eric. CS SystĂšmes dâInformation; FranciaFil: Hagolle, Olivier. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Inglada, Jordi. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Matton, Nicolas. UniversitĂ© Catholique de Louvain. Earth and Life Institute; BĂ©lgicaFil: Morin, David. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Popescu, Ramona. CS Romania S.A.; RumaniaFil: Rabaute, Thierry. CS SystĂšmes dâInformation; FranciaFil: Savinaud, Mickael. CS SystĂšmes dâInformation; FranciaFil: Sepulcre, Guadalupe. UniversitĂ© Catholique de Louvain. Earth and Life Institute; BĂ©lgicaFil: Valero, Silvia. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Ahmad, Ijaz. Pakistan Space and Upper Atmosphere Research Commission. Space Applications Research Complex. National Agriculture Information Center Directorate; PakistĂĄnFil: BĂ©guĂ©, AgnĂšs. Centre de CoopĂ©ration Internationale en Recherche Agronomique pour le DĂ©velopperment; FranciaFil: Wu, Bingfang. Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth; RepĂșblica de ChinaFil: De Abelleyra, Diego. Instituto Nacional de TecnologĂa Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Diarra, Alhousseine. UniversitĂ© Cadi Ayyad. FacultĂ© des Sciences Semlalia; MarruecosFil: Dupuy, StĂ©phane. Centre de CoopĂ©ration Internationale en Recherche Agronomique pour le DĂ©velopperment; FranciaFil: French, Andrew. United States Department of Agriculture. Agricultural Research Service. Arid Land Agricultural Research Center; ArgentinaFil: Akhtar, Ibrar ul Hassan. Pakistan Space and Upper Atmosphere Research Commission. Space Applications Research Complex. National Agriculture Information Center Directorate; PakistĂĄnFil: Kussul, Nataliia. National Academy of Sciences of Ukraine. Space Research Institute and State Space Agency of Ukraine; UcraniaFil: Lebourgeois, Valentine. Centre de CoopĂ©ration Internationale en Recherche Agronomique pour le DĂ©velopperment; FranciaFil: Le Page, Michel. UniversitĂ© Cadi Ayyad. FacultĂ© des Sciences Semlalia. Laboratoire Mixte International TREMA; Marruecos. Universite de Toulose - Le Mirail. Centre dâEtudes Spatiales de la BIOsphĂšre; FranciaFil: Newby, Terrence. Agricultural Research Council; SudĂĄfricaFil: Savin, Igor. V.V. Dokuchaev Soil Science Institute; RusiaFil: VerĂłn, Santiago RamĂłn. Instituto Nacional de TecnologĂa Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Koetz, Benjamin. European Space Agency. European Space Research Institute; ItaliaFil: Defourny, Pierre. UniversitĂ© Catholique de Louvain. Earth and Life Institute; BĂ©lgic
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