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Статті в журналах з теми "Multi-Sectoral models"
Baierla, Gary, Kazuo Nishimura, and Makoto Yano. "The role of capital depreciation in multi-sectoral models." Journal of Economic Behavior & Organization 33, no. 3-4 (January 1998): 467–79. http://dx.doi.org/10.1016/s0167-2681(97)00070-x.
Повний текст джерелаБілоусова, Т. П. "GENERAL ECONOMIC EQUILIBRIUM MODELS." Таврійський науковий вісник. Серія: Економіка, no. 20 (May 31, 2024): 38–42. http://dx.doi.org/10.32782/2708-0366/2024.20.4.
Повний текст джерелаChapa, Joana, and Araceli Ortega. "Identifying the Main Emitters of Carbon Dioxide in Mexico: A Multi-Sectoral Study." Economía 17, no. 2 (April 1, 2017): 135–72. http://dx.doi.org/10.31389/eco.69.
Повний текст джерелаChrismas, Robert (Bob). "Justice on Turtle Island: Continuing the evolution of policing with First Nations, Métis and Inuit Peoples in Canada." Journal of Community Safety and Well-Being 1, no. 2 (August 8, 2016): 44. http://dx.doi.org/10.35502/jcswb.8.
Повний текст джерелаJarosz, Ewa. "Integration of multi-sectoral activities in protecting children from violence – barriers and models of development." Problemy Opiekuńczo-Wychowawcze 597, no. 2 (February 28, 2021): 33–42. http://dx.doi.org/10.5604/01.3001.0014.7827.
Повний текст джерелаGiorgio, Giorgi, and Cesare Zuccotti. "Metzlerian and Generalized Metzlerian Matrices: Some Properties and Economic Applications." Journal of Mathematics Research 7, no. 2 (March 26, 2015): 42. http://dx.doi.org/10.5539/jmr.v7n2p42.
Повний текст джерелаFlorentin, Daniel. "From multi-utility to cross-utilities: The challenges of cross-sectoral entrepreneurial strategies in a German city." Urban Studies 56, no. 11 (November 20, 2018): 2242–60. http://dx.doi.org/10.1177/0042098018798974.
Повний текст джерелаJunne, Tobias, Sonja Simon, Jens Buchgeister, Maximilian Saiger, Manuel Baumann, Martina Haase, Christina Wulf, and Tobias Naegler. "Environmental Sustainability Assessment of Multi-Sectoral Energy Transformation Pathways: Methodological Approach and Case Study for Germany." Sustainability 12, no. 19 (October 6, 2020): 8225. http://dx.doi.org/10.3390/su12198225.
Повний текст джерелаWang, Hui Ting, Shou Wen Ji, and Lin Zhong. "IDEF-Based Procedure Analysis and Restructuring Design of the Online Overseas Purchasing Agent Business." Applied Mechanics and Materials 685 (October 2014): 706–10. http://dx.doi.org/10.4028/www.scientific.net/amm.685.706.
Повний текст джерелаToufique, Kazi Ali. "Bangladesh Experience in Rural Development: The Success and Failure of the Various Models Used." Bangladesh Development Studies XXXXA, no. 1&2 (September 1, 2017): 97–117. http://dx.doi.org/10.57138/tnbw4033.
Повний текст джерелаДисертації з теми "Multi-Sectoral models"
Ross, Andrew G. "Household and skill disaggregation in multi-sectoral models of the Scottish economy." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27879.
Повний текст джерелаPoirier, Côme. "The macroeconomics of sectoral propagation : Three essays in production networks." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLD051.
Повний текст джерелаThe economic production of a country is organised in a complex interweaving of units linked to each other by supplier-buyer links. In particular, sectors, which are groupings of firms sharing a similar production activity, form a network through the goods and services they supply to each other for production. When a sector suffers an economic shock of any kind, it is likely that other sectors to which it is linked will also be affected (increased production costs, adoption of a new technology, etc.): the shock will have spread from one sector to another. Recent episodes of economic disruption such as the Ukrainian conflict or the Covid-19 epidemic have highlighted the vulnerability of economies via their production chains. A telling example is the supply of energy, a commodity that all sectors crucially need in order to produce. Any energy crisis inevitably generates production cost shocks for other sectors.The aim of this thesis is to understand the mechanisms at work when a sectoral shock spreads to other industries. The objectives of this work are therefore threefold: to understand, to model and to recommend. The first chapter estimates the heterogeneity of substitution capacities between sectors using quantity, price and consumption data for the US economy. This model is also used to study the impact of this heterogeneity on the propagation of inter-sector shocks. The second chapter studies the effects of industrial policy in a model where inter-sectoral linkages can change (i.e. supplier-buyer linkages evolve over time). In this paper, theoretical elements on the effect of such industrial policies are given as well as a quantitative study to understand which sectors are the most conducive to state subsidies or high taxes. Finally, the third chapter proposes one of the first models to disaggregate both the production side (sectors) and the final demand side (households) of the economy. This model makes it possible to understand the redistributive effects of sectoral shocks. In other words, it enables us to analyse how a shock originating in a specific sector can affect inequalities for households working in other sectors
Winge, Monica. "Collaboration and Coordination Challenges in Patient-Centered Care : Models and Informaion Services." Doctoral thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-132693.
Повний текст джерелаGiesecke, James Andrew David. "FEDERAL-F : a multi-regional multi-sectoral dynamic model of the Australian economy /." Title page, appendix, contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phg4554.pdf.
Повний текст джерелаNINKA, ENIEL. "Complexity in economics a multi-sectoral model with heterogeneous interacting agents." Doctoral thesis, Università Politecnica delle Marche, 2008. http://hdl.handle.net/11566/242433.
Повний текст джерелаKrause, Michael [Verfasser], Harald von [Akademischer Betreuer] Witzke, Hermann [Akademischer Betreuer] Lotze-Campen, and Rüdiger [Akademischer Betreuer] Schaldach. "Economic potential and sectoral impacts of forest-based climate change mitigation : integrated analysis in a global multi-sectoral land use model / Michael Krause. Gutachter: Harald von Witzke ; Hermann Lotze-Campen ; Rüdiger Schaldach." Berlin : Lebenswissenschaftliche Fakultät, 2015. http://d-nb.info/1072459922/34.
Повний текст джерелаGiesecke, James. "FEDERAL-F : a multi-regional multi-sectoral dynamic model of the Australian economy / by James A.D. Giesecke." 2000. http://hdl.handle.net/2440/19810.
Повний текст джерела2 v. (xviii, 661 p. : ill.([1] col.) ; 30 cm.
Title page, contents and abstract only. The complete thesis in print form is available from the University Library.
Thesis (Ph.D.)--University of Adelaide, School of Economics, 2001
Carvalho, Ariovaldo Lopes de. "A hybrid Input-Output multi-objective model to assess economic-energy-environment trade-offs: an application to Brazil and prospective sugarcane bioethanol technologies." Doctoral thesis, 2016. http://hdl.handle.net/10316/27127.
Повний текст джерелаAs relações entre o consumo de energia, o crescimento econômico e os impactos ambientais são determinantes para o processo de formulação de políticas. A Análise Input-Output (AIO) tem sido usada para estudar inter/intra-relações entre os diferentes setores económicos, bem como estendida para a análise dos sistemas energético e ambiental. Modelos de Programação Linear Multi-objetivo (PLMO) utilizando a estrutura Input-Output (IO) também vêm sendo desenvolvidos para estudar os compromissos (trade-offs) entre os sistemas económico, energético e ambiental. Os modelos IO-PLMO são capazes de captar a complexidade e natureza conflituosa dos problemas do mundo real, permitindo a obtenção de um informação relevante que não seria possível conseguir com uma aplicação separada de ambas as metodologias. Esta combinação de modelos de PLMO e AIO desempenha um papel complementar na compreensão das interações entre os sistemas económicos e energéticos, e os correspondentes impactos ambientais, oferecendo um quadro consistente para avaliar os efeitos de políticas distintas sobre estes sistemas. Um modelo de PLMO baseado em uma estrutura IO híbrida com unidades monetárias e físicas é apresentado nesta tese. Este modelo tem como objetivo avaliar os trade-offs entre objectivos económicos, energéticos, ambientais e sociais no sistema económico brasileiro. Primeiramente, as tabelas IO para o Brasil são reorganizadas para incluir o Balanço Energético Nacional, criando uma estrutura IO híbrida com unidades físicas e monetárias. Este quadro é estendido para avaliar diferentes Gases de Efeito Estufa (GEE), que são então agregados em um único indicador (CO2eq), e o nível de emprego. Duas versões do modelo de PLMO são definidas: uma versão com valores determinísticos e outra em que a programação intervalar é usada para tratar a incerteza em alguns coeficientes do modelo. A versão determinística do modelo tem 443 variáveis (incluindo a produção dos setores e produtos energéticos e várias variáveis econômicas) e um conjunto de 490 restrições (definidoras e limitadoras). As funções objetivo consideradas são a maximização dos níveis do PIB e do emprego, bem como a minimização do consumo de energia e emissões de GEE. Os métodos interativos STEM e o TRIMAP são aplicados para tratar a versão determinística do modelo, permitindo a exploração de soluções de compromisso de acordo com as informações de preferência emitidas pelo decisor. O STEM permitiu um processo de busca de solução interativa através da redução da região admissível baseada na especificação de quantidades de relação para as função objetivo com valores já satisfatórios, fornecendo informações sobre os trade-offs entre os objetivos conflitantes em diferentes regiões da região admissível. O método interativo TRIMAP ofereceu uma pesquisa flexível de soluções através de um ambiente gráfico amigável baseada na visualização das regiões de indiferença associadas a soluções vértices eficientes no diagrama paramétrico, permitindo uma exploração progressiva e seletiva de soluções de compromisso. Ambos os métodos forneceram informações de apoio à decisão relevante para um decisor hipotético, ajudando-o na compreensão dos trade-offs em jogo e na identificação de soluções de compromisso para os modelos de PLMO. A versão intervalar do modelo IO-PLMO híbrido, que inclui 518 restrições e 473 variáveis, é analisada com uma abordagem interativa que envolve a formulação de modelos determinísticos substitutos para o modelo de PLMO intervalar (baseado na minimização do pior desvio possível das funções objetivo intervalar em relação as suas soluções ideais intervalares correspondentes) e de uma fase interativa em que a sinergia entre o algoritmo (prestando informações ao decisor) e o decisor (processando as informações e fornecendo orientações para o processo de cálculo) facilitando um processo de pesquisa com base na proximidade dos valores da solução intervalar em relação à solução intervalar ideal. Perspectivas otimistas e pessimistas foram consideradas a fim de procurar soluções com diferentes alternativas de decisão. Finalmente, os impactos de diferentes processos de cultivo de cana de açúcar e de produção de bioetanol de primeira (1G) e segunda geração (2G) sobre o sistema económico brasileiro e a oferta doméstica de bioetanol em cenários prospetivos foram analisados com a versão determinística do modelo de PLMO. Coeficientes técnicos para diferentes configurações de usinas de bioetanol de produção combinada de 1G + 2G e sistemas de cultivo da cana foram estimados e introduzidos na matriz de coeficientes técnicos. As funções objetivo foram a maximização do PIB e do emprego, e a minimização do consumo de energia e das emissões totais de GEE. A maximização da produção total de bioetanol no país em cada cenário também foi considerado. Soluções não-dominadas foram calculadas através da minimização da distância de Tchebycheff para a solução ideal em cada cenário. A extensão da análise envolvendo todo o sistema económico veio complementar o desenho e a análise baseada em processos potenciais de produção de bioetanol, contribuindo para identificar efeitos indiretos que podem contrabalançar os benefícios. Esta tese fornece modelos, metodologias e conhecimento baseado na avaliação das soluções obtidas com diferentes processos de cálculo, que é essencial para o desenvolvimento de abordagens integradas para a análise prospetiva dos trade-offs económico-energético-ambiental em um país e em um setor específico.
The study and assessment of the relationships between energy consumption, economic growth and environmental impacts is determinant for the policy making process. Input-Output Analysis (IOA) has been used to study inter/intra-relationships among different sectors in the economic system and extended to account for energy and environmental impacts. Multi-objective Linear Programming (MOLP) models using the Input-Output (IO) framework has also been developed to study economic-energy-environment trade-offs. The IO-MOLP models are able to capture the complexity and conflicting nature of real world problems allowing obtaining insightful information that would not be possible to achieve with a separated application of both methodologies. This combination of multi-objective models with IOA plays a supplementary role in understanding the interactions between the economic and energy systems, and the corresponding impacts on the environment, offering a consistent framework for assessing the effects of distinct policies. A MOLP model based on a hybrid IO framework with monetary and physical units is presented in this thesis. This model aims at assessing the trade-offs between economic, energy, environmental and social objectives in the Brazilian economic system. Firstly, the IO tables for Brazil are reorganized to include the National Energy Balance, creating a hybrid IO framework. This framework is extended to assess different Greenhouse Gas (GHG) emissions, which are then aggregated into a single indicator (CO2eq), and the employment level. Two versions of the MOLP model are defined: a version with deterministic values and another one in which interval programming techniques are used for tackling the uncertainty in some coefficients of the model. The deterministic version of the model has 443 variables (including the total output of sectors and energy commodities and several economic variables) and a set of 490 (defining and bound) constraints. The objective functions considered are the maximization of GDP and employment levels, and the minimization of energy consumption and GHG emissions. The STEM and TRIMAP interactive methods are applied to the deterministic version of the model, allowing the exploration of compromise solutions according to the preference information issued by the decision maker (DM). STEM allows an interactive solution search process through the reduction of the feasible region based on the specification of relaxation quantities for the already satisfactory objective functions, thus providing information about the trade-offs that are at stake between the competing objectives in different regions of the search space. The TRIMAP interactive method offers a flexible search for solutions in a user-friendly graphical environment based on the display of indifference regions associated with vertex efficient solutions on the parametric diagram, allowing a progressive and selective exploration of compromise solutions. Both methods have provided relevant decision support information to a hypothetical DM assisting him/her in understanding the trade-offs at stake and identifying compromise solutions to the MOLP models. The interval version of the hybrid IO-MOLP model, which includes 518 constraints and 473 variables, is analyzed with an interactive approach involving the formulation of surrogate deterministic models for the interval MOLP model (based on the minimization of the worst possible deviation of the interval objective functions to their corresponding interval ideal solutions) and an interactive phase in which a synergy between the algorithm (providing information to the DM) and the DM (processing the information and providing guidelines for the computation process). This approach has allowed a reference point searching process based on the closeness of the values of the interval solution in relation to the ideal interval solution. Optimistic and pessimistic perspectives have been considered in order to search for solutions using different decision alternatives. Finally, impacts of different sugarcane cultivation and first-generation (1G) and second-generation (2G) bioethanol production processes on the Brazilian economic system and domestic bioethanol supply in prospective scenarios are analyzed with the deterministic version of the MOLP model. Technical coefficients for different configurations of combined 1G+2G bioethanol plants and sugarcane cultivation are estimated and introduced into the Brazilian technical coefficient matrix. The objective functions are the maximization of GDP and employment level, and the minimization of total energy consumption and GHG emissions. The maximization of the total bioethanol production in the country in each scenario is also considered. Non-dominated solutions are computed by minimizing a Tchebycheff distance to the ideal solution in each scenario. Extending the analysis to the whole economic system has complemented the process design and process-based analysis of prospective bioethanol production, contributing to identify indirect effects that can counterbalance the benefits. This thesis provides models, methodologies and knowledge based on the assessment of the solutions obtained in the different computation processes that is essential for the development of integrated approaches for prospective analysis of economic-energy-environmental trade-offs in a country and a specific sector.
FCT - SFRH/BD/42960/2008
Song, Taesoo. "An intertemporal multi-sectoral model of the labor force and economic planning for Korea." 1988. http://catalog.hathitrust.org/api/volumes/oclc/23735324.html.
Повний текст джерелаКниги з теми "Multi-Sectoral models"
Goodwin, Richard M. The dynamics of a capitalist economy: A multi-sectoral approach. Cambridge, UK: Polity Press, 1987.
Знайти повний текст джерелаHamilton, Liza, and Melissa Maitin-Shepard, eds. Value Proposition and Innovative Models for Multi-Sectoral Engagement in Global Health. Washington, D.C.: National Academies Press, 2020. http://dx.doi.org/10.17226/25501.
Повний текст джерелаKeizai Shingikai (Japan). Keiryō Iinkai., ed. Multi-sectoral economic models for medium and long term analysis: Summary of the seventh report of the committee for econometric model analysis. [Tokyo]: Econometric Model Analysis Section, Planning Bureau, Economic Planning Agency, Govt. of Japan, 1985.
Знайти повний текст джерелаOwuor, J. O. Food and nutrition surveillance and planning in Kilifi District, Kenya: A model for district based multi-sectoral policy formulation and planning. Nairobi: Ministry of Planning and National Development, 1995.
Знайти повний текст джерелаAlekseev, Petr, Vladislav Antropov, Valeriy Barabanov, Mihail Bich, Mihail Zharikov, Lyubov' Krylova, Aleksey Kuznecov, et al. The multi-currency standard and the global financial market. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1871448.
Повний текст джерелаDynamics of a Capitalist Economy: A Multi-Sectoral Approach. Taylor & Francis Group, 2019.
Знайти повний текст джерелаPunzo, Lionello F., and Richard M. Goodwin. The Dynamics of a Capitalist Economy: A Multi-Sectoral Approach. Westview Pr (Short Disc), 1987.
Знайти повний текст джерелаHealth, Board on Global, National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Melissa Maitin-Shepard, and Forum on Public?Private Partnerships for Global Health and Safety. Value Proposition and Innovative Models for Multi-Sectoral Engagement in Global Health: Proceedings of a Workshop. National Academies Press, 2020.
Знайти повний текст джерелаHealth, Board on Global, National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Melissa Maitin-Shepard, and Forum on Public?Private Partnerships for Global Health and Safety. Value Proposition and Innovative Models for Multi-Sectoral Engagement in Global Health: Proceedings of a Workshop. National Academies Press, 2020.
Знайти повний текст джерелаHealth, Board on Global, National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Forum on Public-Private Partnerships for Global Health and Safety, Melissa Maitin-Shepard, and Liza Hamilton. Value Proposition and Innovative Models for Multi-Sectoral Engagement in Global Health: Proceedings of a Workshop. National Academies Press, 2020.
Знайти повний текст джерелаЧастини книг з теми "Multi-Sectoral models"
Aaheim, Asbjørn, Anton Orlov, and Jana Sillmann. "Cross-Sectoral Challenges for Adaptation Modelling." In Springer Climate, 11–18. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_2.
Повний текст джерелаTesche, Jean. "A Multi-Sectoral Model for Estimating VAT Revenues in Hungary." In Tax Modelling for Economies in Transition, 119–32. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-14109-8_8.
Повний текст джерелаKristianssen, Ann-Catrin, and Ragnar Andersson. "What Is a Vision Zero Policy? Lessons from a Multi-sectoral Perspective." In The Vision Zero Handbook, 151–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76505-7_4.
Повний текст джерелаKristianssen, Ann-Catrin, and Ragnar Andersson. "What Is a Vision Zero Policy? Lessons from a Multi-sectoral Perspective." In The Vision Zero Handbook, 1–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_4-1.
Повний текст джерелаHigashikura, Syota, Tetsuo Tezuka, Hideaki Fujii, and Takayuki Takeshita. "Economic Measures for Evaluating CO2 Emission Reduction in Japan by Using the Integrated Model of Multi-sectoral Macroeconomy and Energy." In Zero-Carbon Energy Kyoto 2011, 61–68. Tokyo: Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54067-0_6.
Повний текст джерелаGualandi, Guido, and D. Williams-Gualandi. "Transformative Change Through Ecological Consumption and Production of Ancient Wheat Varieties in Tuscany, Italy." In Fostering Transformative Change for Sustainability in the Context of Socio-Ecological Production Landscapes and Seascapes (SEPLS), 95–114. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6761-6_6.
Повний текст джерелаGrammalidis, Nikos, and Athina Grammatikopoulou. "Smart Participatory Methodologies for Sustainable Cultural Tourism in Rural Areas." In Strategic Innovative Marketing and Tourism, 313–21. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51038-0_35.
Повний текст джерелаFørsund, Finn R., and Eilev S. Jansen. "The Interplay Between Sectoral Models Based on Micro Data and Models for the National Economy." In Production, Multi-Sectoral Growth and Planning - Essays in Memory of Leif Johansen, 109–25. Elsevier, 1985. http://dx.doi.org/10.1016/b978-0-444-87838-0.50011-4.
Повний текст джерелаTan, Farrell, and Pauline Tan. "Venture Philanthropy and Its Applications in Impact Entrepreneurship and Systems Change and Private-Public Collaboration." In Advances in Business Strategy and Competitive Advantage, 313–46. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-4338-8.ch012.
Повний текст джерелаSaito, Mitsuo, and Ichiro Tokutsu. "An International Comparison of the Multisectoral “Production Structure of the United Stat s, West Germany, and Japan." In International Productivity and Competitiveness, 177–202. Oxford University PressNew York, NY, 1992. http://dx.doi.org/10.1093/oso/9780195065152.003.0008.
Повний текст джерелаТези доповідей конференцій з теми "Multi-Sectoral models"
Thelen, Michael, Guntram Pressmair, Markus Lassnig, and Veronika Hornung-Prähauser. "Electric Vehicles as Flexibility Assets: Unlocking Ecosystem Collaborations: Leveraging Value Creation Partnerships for Mutually-beneficial Exchanges." In New Business Models 2023. Maastricht University Press, 2023. http://dx.doi.org/10.26481/mup.2302.18.
Повний текст джерела"Constructing a multi-sectoral SFC model including the energy sector." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.kaczynski.
Повний текст джерелаFilimonenko, Irina. "A MULTI-SECTORAL MODEL OF ECONOMIC DEVELOPMENT OF A RESOURCE REGION." In 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/15/s05.002.
Повний текст джерелаFrings, Sandra, Holger Kett, and Jürgen Falkner. "Enhancing a Capability Maturity Model for the Smartification of Products by a Generic Approach and a Third Dimension." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002907.
Повний текст джерелаSantos, Thauan, Luan Santos, Tharcisio Fontainha, Carlos Eduardo Infante, Carol Grangeia, Annyeli Nascimento, Marco Cordon, Giovanna Tosto, and Marcelo Ivo. "Diving Into Subsea Decommissioning: the Challenge of an Economic Approach Beyond Costs Model." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-128152.
Повний текст джерелаWu, Hong, Xiangzheng Deng, Jinyan Zhan, Feng Wu, and Xing Li. "Developing a Multi-Sectoral Dynamic Applied General Equilibrium Model to Simulate the Emission Reduction of Nitrogen and Phosphorus at a Catchment Extent." In 2009 2nd International Conference on Biomedical Engineering and Informatics. IEEE, 2009. http://dx.doi.org/10.1109/bmei.2009.5305360.
Повний текст джерелаC, Timanoi, Mwanja M, and Arasio A. "Utilization of one health ‘Kimormor’ Multi-Sectoral Outreaches for enhanced Nutrition Interventions in Migratory Pastoral Communities of Turkana County, Kenya." In 3rd International Nutrition and Dietetics Scientific Conference. KENYA NUTRITIONISTS AND DIETICIANS INSTITUTE, 2023. http://dx.doi.org/10.57039/jnd-conf-abt-2023-f.s.s.d-03.
Повний текст джерелаBeuk Kovačević, Nevena. "Consequences of economic transition on demographic processes in the Baranja region in the Republic of Croatia." In Population in Post-Yugoslav Countries: (Dis)Similarities and Perspectives. Institute of Social Sciences, 2024. http://dx.doi.org/10.59954/ppycdsp2024.48.
Повний текст джерелаCieślik, Ewa. "THE CENTRAL AND EASTERN EUROPEAN ECONOMIES IN THE ERA OF INDUSTRY 4.0 AND CHINESE DIGITAL SILK ROAD." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2022. http://dx.doi.org/10.47063/ebtsf.2022.0018.
Повний текст джерелаЗвіти організацій з теми "Multi-Sectoral models"
Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, December 2021. http://dx.doi.org/10.53328/uxuo4751.
Повний текст джерелаHeresi, Rodrigo, and Daniela Villacreces Villacis. From Macroeconomic Stability to Welfare: Optimizing Fiscal Rules in Commodity-Dependent Economies. Inter-American Development Bank, May 2023. http://dx.doi.org/10.18235/0004918.
Повний текст джерелаIanchovichina, Elena. GTAP-DD: A Model for Analyzing Trade Reforms in the Presence of Duty Drawbacks. GTAP Technical Paper, March 2004. http://dx.doi.org/10.21642/gtap.tp21.
Повний текст джерелаExploring the potential for private pharmacies to provide family planning services in Senegal. Population Council, 2018. http://dx.doi.org/10.31899/sbsr2018.1013.
Повний текст джерела