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"Providing perspectives from a range of experts, including international lawyers, political scientists and practitioners, this book assesses current theory and practice of economic sanctions, discussing current legal and political challenges faced by the international community. It examines both the implementation of sanctions by major powers -the United States, European Union and Japan - as well as assessing the impact of those sanctions through case studies of Russia, Iran, Syria and North Korea. Balancing theoretical analysis of legal considerations with national and regional level empirical analysis, it also includes coverage of sanctions issues by the UN Security Council and the EU, as well as the extraterritorial application of sanctions. A valuable reference for academics and practitioners, Economic Sanctions in International Law and Practice will be useful to those working in the fields of international law, diplomacy, and international political economy"--
Sanctions (International law) --- International sanctions (International law) --- Penalties (International law) --- International law --- Chemical Weapons --- European Union --- Human Rights --- Iran --- Japan --- JCPOA --- North Korea --- OPCW --- Russia --- Syria --- United States
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Les principes des politiques de lutte contre la prolifération américains et soviétiques/russes sont demeurés constants et en symbiose. Cette thématique a été le terreau d’une forme d’entente américano-soviétique surplombant leur réalité bipolaire au vu des enjeux vitaux qu’elle mettait intrinsèquement en péril. Malgré leur convergence de vue quant à la prolifération, la question nucléaire iranienne a été une pierre d’achoppement dans les relations russo-américaines. C’est finalement plusieurs superpositions de convergences qui ont permis une dynamique d’avancée significative entre 2013 et 2015. D’une part, il existe un point de rencontre d’intérêts irano-américains. D’autre part, un second jeu de convergences s’établit en parallèle, celui entre les États-Unis et la Russie. Cette dernière a oscillé au fil des débats, cherchant à sauvegarder les intérêts qu’elle avait en Iran tout en ne rompant jamais totalement avec les partenaires occidentaux. La Russie s’est positionnée en détractrice de l’attitude américaine et de son régime de sanctions qu’elle cherchait à étendre au niveau multilatéral. Moscou utilise le levier iranien pour réaffirmer sa puissance « réémergente » dans un monde en passe d’être multipolaire. Côté américain, nous estimons que le pragmatisme renouvelé, suite à l’arrivée d’Obama à la Maison Blanche, est imputable à la politique plus globale de retrait des États-Unis de la région moyen-orientale en vue de disposer de plus grandes marges de manœuvre sur des terrains devenus davantage pressants, tels que le pivot asiatique. Les deux puissances et parties aux négociations internationales au sein du P5+1 ont donc largement laissé primer leurs intérêts nationaux respectifs pour résoudre le casse-tête iranien qui perdurait depuis douze années.
Iran --- nucléaire --- rapport de force --- intérêts --- réalisme --- Etats-Unis --- Russie --- Accords de Vienne 2015 --- JCPOA --- P5+1 --- Droit, criminologie & sciences politiques > Sciences politiques, administration publique & relations internationales
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Studying and managing regional economic development in the current globalization era demands prompt, reliable, and comparable estimates for a region’s economic performance. Night-time lights (NTL) emitted from residential areas, entertainment places, industrial facilities, etc., and captured by satellites have become an increasingly recognized proxy for on-ground human activities. Compared to traditional indicators supplied by statistical offices, NTLs may have several advantages. First, NTL data are available all over the world, providing researchers and official bodies with the opportunity to obtain estimates even for regions with extremely poor reporting practices. Second, in contrast to non-standardized traditional reporting procedures, the unified NTL data remove the problem of inter-regional comparability. Finally, NTL data are currently globally available on a daily basis, which makes it possible to obtain these estimates promptly. In this book, we provide the reader with the contributions demonstrating the potential and efficiency of using NTL data as a proxy for the performance of regions.
Research & information: general --- population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf's law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement --- population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf's law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement
Choose an application
Studying and managing regional economic development in the current globalization era demands prompt, reliable, and comparable estimates for a region’s economic performance. Night-time lights (NTL) emitted from residential areas, entertainment places, industrial facilities, etc., and captured by satellites have become an increasingly recognized proxy for on-ground human activities. Compared to traditional indicators supplied by statistical offices, NTLs may have several advantages. First, NTL data are available all over the world, providing researchers and official bodies with the opportunity to obtain estimates even for regions with extremely poor reporting practices. Second, in contrast to non-standardized traditional reporting procedures, the unified NTL data remove the problem of inter-regional comparability. Finally, NTL data are currently globally available on a daily basis, which makes it possible to obtain these estimates promptly. In this book, we provide the reader with the contributions demonstrating the potential and efficiency of using NTL data as a proxy for the performance of regions.
Research & information: general --- population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf’s law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- n/a --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement --- Zipf's law
Choose an application
Studying and managing regional economic development in the current globalization era demands prompt, reliable, and comparable estimates for a region’s economic performance. Night-time lights (NTL) emitted from residential areas, entertainment places, industrial facilities, etc., and captured by satellites have become an increasingly recognized proxy for on-ground human activities. Compared to traditional indicators supplied by statistical offices, NTLs may have several advantages. First, NTL data are available all over the world, providing researchers and official bodies with the opportunity to obtain estimates even for regions with extremely poor reporting practices. Second, in contrast to non-standardized traditional reporting procedures, the unified NTL data remove the problem of inter-regional comparability. Finally, NTL data are currently globally available on a daily basis, which makes it possible to obtain these estimates promptly. In this book, we provide the reader with the contributions demonstrating the potential and efficiency of using NTL data as a proxy for the performance of regions.
population reorganization --- population density --- spatiotemporal patterns --- DMSP-OLS --- NPP-VIIRS --- Chongqing --- education inequality --- nighttime light --- urbanization --- sustainable development --- human development --- urban hotspot delineation --- Zipf’s law --- intra-urban scaling --- street nodes --- VIIRS imagery --- kernel density estimation --- Luojia 1-01 satellite --- spatial resolution --- searching radius threshold --- urban built-up area --- attention-augmented CNN --- nightlight --- fine-grained GDP estimation --- daytime satellite imagery --- arbitrary area representation --- Luojia 1-01 --- MNUACI --- urban area --- urban remote sensing --- VIIRS --- DMSP --- GDP --- nighttime lights --- cross-sectional --- time-series --- economic statistics --- n/a --- functional urban areas (FUAs) --- boundaries --- multiple regression modelling --- artificial light-at-night (ALAN) --- optimal threshold --- shadow economy --- Iran --- sanctions --- JCPOA --- economic inequality --- nighttime light emissions --- spatial measurement --- Zipf's law
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