Relevant bibliographies by topics / Input-output model analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Input-output model analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Input-output model analysis"

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Nakajima, Kenichi, Shinichiro Nakamura, Kazuyo Matsubae-Yokoyama, Yasushi Kondo, and Tetsuya Nagasaka. "Waste Input-Output Material Flow Analysis Model." Material Cycles and Waste Management Research 20, no. 5 (2009): 206–11. http://dx.doi.org/10.3985/mcwmr.20.206.

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West, Guy R. "A Stochastic Analysis of an Input-Output Model." Econometrica 54, no. 2 (March 1986): 363. http://dx.doi.org/10.2307/1913156.

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ten Raa, Thijs, and Mark F. J. Steel. "Revised stochastic analysis of an input-output model." Regional Science and Urban Economics 24, no. 3 (June 1994): 361–71. http://dx.doi.org/10.1016/0166-0462(93)02039-6.

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Holland, D. W., and R. P. Martin. "Output Change in U.S. Agriculture: An Input-Output Analysis." Journal of Agricultural and Applied Economics 25, no. 2 (December 1993): 69–81. http://dx.doi.org/10.1017/s1074070800018976.

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AbstractThis paper analyzes output changes in the U.S. agricultural economy from 1972 to 1977 using a 477-sector input-output framework. The empirical model is based on benchmark input-output data from the U.S. Bureau of Economic Analysis for 1972 and 1977. Output changes were decomposed into components attributable to technical change, domestic final demand change, export demand change and import substitution. A major advantage of the decomposition is its ability to identify the output change in a given sector due to general equilibrium effects in all sectors.
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Gibson, J. S., and Faryar Jabbari. "A digital input/output model for trace-class systems." Journal of Mathematical Analysis and Applications 144, no. 1 (November 1989): 89–108. http://dx.doi.org/10.1016/0022-247x(89)90361-2.

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Jiang, Lei, Shou Zhong Hu, and Xiao Xiao Xu. "Input-Output Analysis of Environmental Protection Industry." Advanced Materials Research 1073-1076 (December 2014): 2700–2703. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2700.

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This paper investigates the run of environmental protection industry input-output model. A new mathematic method is applied to study this kind of singular input-output system. With this new method, we need not convert singular systems into general linear systems. A sufficient stability condition under which an environmental protection industry input-output model is stable is proved. This condition is in the form of linear matrix inequality and can be easily tested by computers.
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LIU, Jing, and Katsuya NAGATA. "SO2 Emission Analysis of China with Input-Output Model." Journal of Environment and Engineering 6, no. 3 (2011): 490–98. http://dx.doi.org/10.1299/jee.6.490.

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Ngaruko, Deus D. "Comparative Analysis of Alternative ODL Delivery Modes using Input-Process-Output Model in ODL Institutions: Evidence From The Open University Of Tanzania." Advances in Social Sciences Research Journal 1, no. 5 (September 30, 2014): 94–106. http://dx.doi.org/10.14738/assrj.15.444.

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Jia, Li, Yangyang Li, and Feng Li. "Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise." Complexity 2019 (November 12, 2019): 1–13. http://dx.doi.org/10.1155/2019/9650254.

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A novel identification algorithm for the correlation analysis-based multiple-input single-output (MISO) neurofuzzy Wiener model with noise is proposed. Firstly, several sets of Gaussian signals are utilized to realize the decoupling between the dynamic linear blocks and the static nonlinear blocks of a MISO Wiener system. Then, the correlation analysis is adopted to identify the parameters of the linear parts, and the problem that the output of static nonlinear block is immeasurable can be solved. As a result, it can circumvent the problem of initialization and convergence of the model parameters encountered by the existing iterative approach used for the identification of the Wiener model. Next, the least-squares algorithm is employed to estimate the consequent parameters of the nonlinear blocks which can avoid the influence of noise. Finally, examples are used to illustrate the performance of the proposed method.
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Ivanter, V. V. "Role of Input-Output Model in Macroeconomic Analysis and Forecasting." Studies on Russian Economic Development 29, no. 6 (November 2018): 581–83. http://dx.doi.org/10.1134/s1075700718060047.

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Dissertations / Theses on the topic "Input-output model analysis"

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Zbranek, Jaroslav. "Konstrukce a využití časových input-output tabulek v kontextu dynamizovaného input-output modelu." Doctoral thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-191805.

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The aim of the dissertation thesis is to develop a methodology of the compilation of symmetric Time Input-Output tables under the conditions of the Czech Republic. The following aim is to create an input-output model which is based on the compiled symmetric Time Input-Output tables. For the practical applications of this model it is crucial to link the created Input-Output model with the Semi-Dynamic Input-Output model. Semi-Dynamic Input-Output model in the conception of the submitted dissertation thesis takes into account several multiplier effects and presents more comprehensive tool for the use of the Input-Output analyses in this way. The first chapter focuses on the development of the issues linked to the Input-Output tables and analyses on the territory of the Czech Republic and in the world as well. The second chapter which is also theoretical is focused on mapping of different kinds of Input-Output analyses which are done in the world using Physical, Time or Hybrid Input-Output tables. The third chapter is a purely methodological because here it is described the methodology of the compilation of symmetric Time Input-Output tables as well as methodological approach to the various sensitivity analyses. The fourth chapter focuses on the creation Semi-Dynamic Input-Output model and on the formal linking with the Input-Output model based on the Time Input-Output tables. The last fifth chapter is focused analytically. Methods described in the third chapter are applied on the official published data on the Czech economy. The analytical chapter is perceived in the submitted dissertation thesis as a tool for the sensitivity analysis in the sense of validation of the quality of the compiled Time Input-Output tables.
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Lasselle, Sarah. "Sectoral Model of the Cement Industry Using Input-Output Analysis." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for energi- og prosessteknikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22889.

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This study assesses the effect CCS employment on the global warming impact of the European cement industry using Multi-Regional Input-Output Analysis.For the cement sectors of the 28 European countries studied, technology and cohort distributions were established, thermal efficiency fuel input data were collected, and the capacity turnover and evolution of CO2 emissions from cement production of each country were determined. An economic life cycle inventory of CCS implementation for cement was established, and a cradle-to-gate assessment of the cement production with and without CCS implementation was performed using the EXIOBASE multi-regional input-output model for the years 2013, 2030, and 2050.The results of the analysis show that the implementation of CCS in the European cement industry leads to an increase in the emissions embodied in cement demand for Europe as a whole compared to a scenario where CCS is not used. However, the results of global warming impact due to cement demand vary from country. This illustrates the variations in production technologies of different countries and the importance quantifying emissions embodied in trade flows of goods throughout the world economy when calculating environmental impact.
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Tanellari, Eftila. "The Economic Impact of Investment in the Food Processing Industry in US Rural Counties: The Case of Scott County, Virginia." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/42675.

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This thesis examines the economic impact of two alternative canning plant sizes in Scott County, Virginia. The impacts of a community cannery as well as a commercial cannery are analyzed with respect to changes in output, employment, and income. Several uses for the commercial cannery are considered, such as specialization in different product categories. In both cases, an input-output model is used to evaluate the effects of the operation of the cannery in the county. The results indicate that the impact of the commercial cannery is significantly larger than the community cannery. Specialization of the commercial cannery in the Canned Specialties sector has the largest impact with respect to industry output and labor income while specialization in the Sausages and Other Prepared Meats sector has the largest impact with respect to employment.
Master of Science
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Ren, Zhen. "Modular model assembly from finite element models of components." Diss., Connect to online resource - MSU authorized users, 2008.

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Cormia, Carl W. "An economic optimization model for capacity expansion decisions." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/43894.

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A model is developed to identify the optimal capital expansion decisions for producers of s consumable products. The model features an optional selection of corporate level in a product tree hierarchy and a choice of several optimizing objective functions. The model assumes that intermediate product demand is directly dependent on demand for consumable products. Intermediate product demands are derived from demand for consumable products using a product tree similar to a bill of materials. Restrictions exist on the productive capacity of all products in the product tree, and interdependences exist between producers of the various products. Likewise, the availability of labor limits production capacities for all products in the product tree. The capital available for the capacity expansions can either be capital equity or corporate debt. The model identities the expansion strategy which optimizes the chosen economic objective function. A case study is analyzed with linear programming software to determine the optimal expansion strategy for a tire manufacturer given a hypothetical market demand for automobiles.
Master of Science
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Feng, Kuishuang. "Spatial analysis of environmental issues : applications and extensions of the environmental input-output model." Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/12746/.

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The majority of environmental input-output studies focus on a single region or country. Linking environmental input-output models to the space can provide a better understanding on the spatial relationships of consumption and production activities and associated environmental issues. This PhD thesis employs the environmental input-output techniques using geo-demographic data bases to explore spatio-environmental issues in the developed country, UK, and the developing country, China. In this thesis, four case studies (Chapters 3, 4, 5 & 6) were carried out on natural resources extraction and environmental pollution using water consumption and CO2 emissions as environmental issues. Chapter 3 assessed the UK production and consumption water footprints and found that the UK consumption water footprint was more than three times bigger than its production water footprints. About half of the UK consumption water footprints were imported from Non-OECD countries, many of which were water scarce. Chapter 4 focused on regional virtual water flows and water footprints in the Yellow River Basin (YRB), China. The results show that the production and consumption activities outside of the basin also contributed to the water stress in the YRB, particularly the water scarce lower reach. Chapter 5 applied input-output structural decomposition analysis (10 SDA) to identify the key driving forces for China's regional CO2 emissions 2002-2007 and found that increases of final consumption such as urban household consumption, capital investment and export were the key driving forces for most of China's regions. Chapter 6 assessed the distributional effects of climate change taxation for the UK. The results showed that both CO2 and GHG taxes tended to be regressive, while a GHG tax led to a more equal distribution of the tax burden across income and lifestyle groups. This research concluded that linking environmental input-output models to space could present the spatial relationships of different regions in terms of environmental issues and build up consumption based spatio- environmental inventory. Policy implications from the four case studies have also been discussed.
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Alzgool, Mais. "Design and analysis of a novel multi-input multi-output high voltage DC transformer model." Thesis, University of the West of England, Bristol, 2019. http://eprints.uwe.ac.uk/37653/.

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A novel Multi-Input Multi-Output (MIMO) step-up DC transformer for applications in high voltage renewable energy sources is designed and presented. This design topology can provide a high step-up conversion gain without using an internal AC transformer, to supply different DC output voltage levels from integration of various input power sources. MIMO DC transformers provide flexibility in terms of choice and availability of the power source, reduction in the number of power lines used to transfer power to pre-specified locations as well as enhancement in system reliability. The comprehensive operating principle, theoretical analysis and design criteria of the proposed MIMO step-up DC transformer have been discussed. The proposed DC transformer has the advantages of simple configuration, fewer components, high conversion gain and high efficiency. The relations between the inputs and outputs are expressed mathematically in terms of passive components and the duty cycle of power switches. Also discussed is the sizing of the employed inductors and the capacitors for a particular application. The derived input and output expressions for ideal and non-ideal DC transformer are solved numerically and the results are validated against those obtained through MATLAB-SIMULINK simulation. Tentative analysis of the numerical and simulation results shows a close correlation.
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McNamara, Kevin T. "A theoretical model for education production and an empirical test of the relative importance of school and nonschool inputs." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/53629.

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The importance of public education in rural development has received increasing attention by local and state policy makers as competition for new industry has intensified throughout rural America. Uncertainty about the relationships of public and private inputs to education output, however, presents problems to state and local officials and parents interested in improving the quality and quantity of the public education system. This research examines the education process in a production function framework to identify the relationships of education inputs to education output. A theoretical model that combines public l and household decision making into an education production process is used as the basis for the empirical model that is developed. The estimated model includes input measures for school, family, volunteer and student inputs to education production and is estimated with cross·sectional data for Virginia counties. The expenditure measure used in the model is specified as a polynomial lag. The model also is specified as a joint-product production process. The results of the analysis provide evidence of the importance of expenditures in education production and indicate that the impact of changes in expenditures occurs over time. The number of and educational levels of teachers also is associated with education output. Household and student inputs also are associated with education output. Volunteer input measures are not statistically significant in the estimated equations, a reflection of the difficulty of specifying and measuring specific volunteer inputs into the education production process. The empirical results do not support a joint production hypothesis between outputs as measured by achievement test scores and the school continuation rate.
Ph. D.
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Papageorgiou, Asterios. "A physical accounting model for monitoring material flows in urban areas with application to the Stockholm Royal Seaport district." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231160.

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There is a plethora of methods and tools that can be used for the assessment of Urban Metabolism. Nevertheless, there is no standardized method for accounting of material flows within and across the boundaries of urban systems. This thesis aims to provide a physical accounting model for monitoring material flows in urban areas that could potentially become the basis for the development of a standardized accounting method in the long term. The model is based on a Physical Input Output Table framework and builds upon the strengths of existing accounting methods but at the same time it demonstrates new features that can address their limitations. The functions of the model were explored and evaluated through its application to an urban neighbourhood in the Stockholm Royal Seaport. Bottom-up data were used for the application of the model in the case study. The application of the model provided a preliminary description of the material flows in the neighbourhood and most importantly provided information that underpinned the assessment of the strengths and limitations of the model. It was deduced, that on the one hand the model can describe successfully the physical interactions between the urban socioeconomic system and the environment or other socioeconomic systems and at the same it has the potentials to illustrate the intersectoral flows within the boundaries of the system. In addition, it can be used to structure available data on material flows and promote the study of an urban system with a life cycle perspective. On the other hand, the process of compiling the tables of the model can be considered as complex and moreover the data requirements for the compilation of the tables are significant. Especially, the compilation of the tables of the model with bottom-up data may require a laborious data collection and analysis process, which however may not address all data gaps. Thus, the combination of bottom-up data with top-down data is recommended. Moreover, it is recommended the development of integrated databases for data collection and management at the municipal level and the fostering of collaboration between stakeholders within the municipalities to facilitate dissemination of data and information.
Mer än hälften av den globala befolkningen bor numera i urbana områden och denna andel uppskattas öka under de kommande årtiondena. Urbana system förbrukar fysiska resurser och genererar stora mängder av rester vilket innebär påfrestningar på miljön samt hindrar en hållbar utveckling. Således kan förståelse av Urban Metabolism (UM) stödja insatserna för att effektivisera resursförbrukningen och avfallshanteringen. I detta sammanhang har en stor mängd av metoder och verktyg utvecklats och tillämpats i UM-studier, såsom Materialflödeanalys (Material Flow Analysis - MFA) och Input-output Analys (Input Output - IOA) baserat på fysiska input-output tabeller (Input Output Tables – PIOTs). Ändå saknas en standardiserad metod för redovisning av materialflöden inom och över gränserna av urbana system. I samband med detta examensarbete utvecklades en fysisk räkenskapsmodell för övervakning av materialflöden i urbana områden. Denna modell kan potentiellt bli grunden för en enhetlig metod för beräkning av materialflöden i urbana system. Modellen utvecklades i en stegvis process och baserades på litteraturgranskning. Grunden för modellen är ett omfattande PIOT ramverk som kan användas för registrering av materialflöden i urbana system. PIOT ramverket är annorlunda än de typiska PIOT-systemen. Det ger en tydligare avgränsning av systemgränserna, det visar tydligt ursprung och destination för materialflöden, och dessutom kan det erbjuda ett livscykelperspektiv på materialflödena. Modellen består av en uppsättning identiska PIOT. Varje deltabell innehåller materialflöden som tillhör i en specifik klass, medan huvudtabellen aggregerar materialet som strömmar för alla material från deltabellerna. Därigenom kan modellen avbilda materialflödena i ett aggregat-perspektiv och samtidigt ge fysiska räkenskaper för specifika materialtyper. Modellen användes i en nybyggd stadsdel i Norra Djurgårdsstaden (NDS), för att utforska och bedöma dess funktioner. För att kartlägga och kvantifiera flödena i stadsdelen genomfördes en MFA baserad på “bottom-up-data”. Insamlingen och analysen av data var emellertid en besvärlig process och dessutom kunde flera materialflöden inte kvantifieras på grund av databrister. Därför kunde modellens tabeller inte fyllas fullständigt och ett flödesdiagram skapades med både kvantitativa och kvalitativa flöden. Trots att det fanns databrister lyckades tillämpningen av modellen att avbilda UM i det avgränsade urbana systemet på ett adekvat sätt. Det visade tydligt att nästan 96% av de materiella insatserna är ackumulerade i lager. Dessutom fastställde modellen kvalitativt den fysiska växelverkan mellan det urbana systemet och den naturliga miljön, det nationella socioekonomiska och det globala socioekonomiska systemet. Emellertid var det inte möjligt att bedöma modellens fullständiga potential eftersom det inte var möjligt att upprätta intersektorala kopplingar. Dessutom beräknades indirekta flöden av flera importerade material baserat på koefficienterna för materialintensitet. Detta tillvägagångssätt kan erbjuda insikt om de uppströms påfrestningar som orsakas av materialproduktionen. Dock finns det endast koefficienter för specifika material. Därför kan de inte användas för att uppskatta de indirekta flödena för varje materialinflöde. Dock framhöll deras partiella tillämpning att indirekta flödena var 38% högre än direktflödena, vilket indikerar att påfrestningar som utövas till miljön på grund av produktion av importerade material är betydande. Tillämpningen av modellen möjliggjorde en bedömning av både styrkor och svagheter hos modellen. Å ena sidan kan modellen fastställa fysiska interaktioner mellan det urbana socioekonomiska systemet och naturmiljön, det nationella socioekonomiska systemet och det globala socioekonomiska systemet. Dessutom har det potential att beskriva intersektorala flöden inom gränserna för det urbana systemet och det kan erbjuda insikt om materialinflödenas ursprung och materialutflödenas destination. En annan styrka i modellen är att den erbjuder livscykelperspektiv genom att ta hänsyn till indirekta flöden av importerade material. Å andra sidan demonstrerades att sammanställningenav modellens tabeller kräver en stor mängd data, speciellt när data erhålls med ett ”bottom-up” tillvägagångssätt. Ändå är bottom-up data inte alltid tillgängliga för urbana områden. En annan svaghet är att sammanställningenav tabellerna i modellen med bottom-up-data kräver en mödosam process för datainsamling och analys. Dessutom kräver analysen av data många antaganden som ökar osäkerheten i resultaten. Ovanstående svagheter i modellen kan hindra tillämpningen av modellen för räkenskap av materialflöden på urbana områden. Således rekommenderas kombinationen av bottom-up-data med top-down data för tillämpning av modellen. Dessutom föreslås utvecklingen av integrerade databaser för datainsamling om materialflöden i urbana områden.
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Hašková, Barbara. "Assessment of the Effects of Sanctions on trade between the EU and Russia." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201905.

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This thesis concerns about the effectiveness of sanctions imposed between Russia and the EU in 2014. Firstly are conducted theoretical foundations of sanctions and their imposition from the EU as well as Russian contra-sanctions. Secondly, the analysis is based on the gravity model in trade in log-linear form and further develop out-of-sample estimations about trade potentials. Although trade potentials did not proved the expected decrease in exports from EU to Russia, the Input-Output analysis of impacts on exports of food products did so. Results yielded calculated impacts on GDP of various countries due to food embargo that are more or less comparable with the actual evolution of GDP and trade flows. Thirdly, the indirect effects of sanctions of third country effect and re-exports are observed from trade patterns. There has been recorded increased exports of food related products from the EU towards members of Euroasian Customs Union as well as increased imports from these countries to Russia. Finally, the results points out decreased economic activity of Russia due to depreciation of domestic currency, capital flight, decline in oil prices and also sanctions adding up to the problems the economy deals with. The economic impacts of sanctions are present in both parties. However, from the political view sanctions did not proved to be effective so far. Russian intervention in Ukraine territory is continuing.
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Books on the topic "Input-output model analysis"

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(Japan), Ajia Keizai Kenkyūjo. Multi-regional input-output model for China 2000. Chiba-shi, Japan: Institute of Developing Economies, Japan External Trade Organization, 2003.

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Lipiński, Czesław. A two-level network model of input-output flows. Łódź: Wydawn. Uniwersytetu Łódzkiego, 1991.

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Guo jia xin xi zhong xin (China). Zhongguo qu yu jian tou ru chan chu biao: Multi-regional input-output model for China. Beijing: She hui ke xue wen xian chu ban she, 2005.

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The Nigerian economy: A macroeconometric and input-output model. New York: Praeger, 1990.

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Johnson, Richard L. The economy of Southwest Colorado.: A statistical compendium and interindustry model. [Fort Collins, Colo.]: Colorado State University, Agricultural Experiment Station Cooperative Extension Dept. of Agricultural and Resource Economics, 1997.

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Canada, Canada Agriculture. Agriculture Canada's input-output model: Part 1 : disaggregation of the agriculture sector. Ottawa: Policy Branch, Agriculture Canada, 1987.

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K, Saxena K. Regional input-output model for small scale industries: A case study of Rajasthan. Udaipur: Himanshu Publications, 1987.

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Ajakaiye, David Olusanya Ishola. Model-based estimates of sectoral intermediate demands for Nigeria, 1974-77. Ibadan: Nigerian Institute of Social and Economic Research (NISER), 1989.

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Zwinkels, W. Onderwijs en arbeidsmarkt in een input-output model: Analyse van de werkgelegenheid naar opleiding in de periode 1985-2010. ʼs-Gravenhage: Wetenschappelijke Raad voor het Regeringsbeleid, 1991.

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Rendleman, C. Matthew. Estimation of aggregate U.S. demands for fertilizer, pesticides, and other inputs: A model for policy analysis. Washington, DC: U.S. Dept. of Agriculture, Economic Research Service, 1993.

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Book chapters on the topic "Input-output model analysis"

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Szyld, Daniel B., Leonardo Moledo, and Beatriz Sauber. "Positive solutions for the Leontief dynamic input—output model." In Input-Output Analysis, 91–97. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2607-3_6.

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Panek, Emil. "Consumption turnpike in a non-linear model of the input—output type." In Input-Output Analysis, 253–59. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2607-3_16.

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Lanza, Alessandro, and Giorgio Rampa. "A model for assessing the growth opportunities of EEC countries when interdependence is not ruled out." In Input-Output Analysis, 367–90. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2607-3_21.

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Mohamed, Siti Rosiah, Nazirah Ramli, and Ainun Hafizah Mohd. "Extended Non-controllable Variable Input-Output Oriented Model in DEA Analysis." In Proceedings of the International Conference on Science, Technology and Social Sciences (ICSTSS) 2012, 561–67. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-287-077-3_67.

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Wen, Fengan. "Retracted: A Mathematical Model for Higher Education Input–Output Efficiency Analysis." In Lecture Notes in Electrical Engineering, 679–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35440-3_87.

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Wen, Fengan. "Erratum to: A Mathematical Model for Higher Education Input–Output Efficiency Analysis." In Lecture Notes in Electrical Engineering, E1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35440-3_98.

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Luptácik, M., and I. Schmoranz. "An Extension of a Static Input-Output Model for Demographic-Economic Analysis." In Demographic Change and Economic Development, 253–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83789-0_14.

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Alcuri, Luigi, Giuseppe Barbera, and Giuseppe D’Acquisto. "Service Curve Estimation by Measurement: An Input Output Analysis of a Softswitch Model." In Quality of Service in Multiservice IP Networks, 49–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30573-6_4.

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Okuyama, Yasuhide, Geoffrey J. D. Hewings, and Michael Sonis. "Measuring Economic Impacts of Disasters: Interregional Input-Output Analysis Using Sequential Interindustry Model." In Modeling Spatial and Economic Impacts of Disasters, 77–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24787-6_5.

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Qing, Honghong, and Zishan Xu. "Capacity-Constrained Production-Inventory System Model based on Input–Output Analysis and Laplace Transforms." In Proceedings of the 9th International Symposium on Linear Drives for Industry Applications, Volume 4, 49–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40640-9_7.

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Conference papers on the topic "Input-output model analysis"

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Ozolina, Velga, and Astra Auzina-Emsina. "Macroeconometric Input-Output Model For Transport Sector Analysis." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0082.

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Abstract:
Effective government transport policy can be based only on realistic data, sophisticated and detailed transport sector analysis, and productive modelling. The aim of the paper is to demonstrate the main elements used to develop a relatively small macro-economic input-output model with the emphasis on transport for one European Union (EU) country. Transport sector faces similar problems in various countries linked with emissions, transport flows, road accidents and other issues hence appropriate modelling tool should be selected. The model presented in this article consists of econometric and input-output relations. The research analyses and examines three scenarios and stresses the importance of the transport investment not only for development of the transport sector, but also for the economic development in general. The scenarios imply zero, 9 million and 6.7 million additional investment in transport sector eligible to the EU funding. As the result of additional investment, GDP recovers faster leading to 0.3-1.7%points faster growth rates as compared to the base scenario with no additional investment leading to faster cohesion with the average EU level, as well as higher number and turnover of passengers in the public and commercial transport, while the number of passenger cars is lower. The model can also be applied to study regional development, if it is possible to distinguish, which regions will benefit from the investment, as well as influence on fuel consumption and CO2 emissions, if the investments are targeted to specific means of transport.
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Rui, Chen, and Zhao Xiuheng. "Input-Output Analysis Model and Prediction on Uncertain Economic System." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.785.

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Tao, Du. "Energy and Environmental Efficiency Input-output Model and Its Analysis." In 2010 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2010. http://dx.doi.org/10.1109/appeec.2010.5449119.

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Tan, C. S., P. S. Tan, S. S. G. Lee, and M. T. Pham. "An Inoperability Input-Output Model (IIM) for disruption propagation analysis." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962400.

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Thongvanh, Chanthavong. "An Intelligent Investment Efficiency Analysis Method Using the Input Output Model." In 2016 International Conference on Robots & Intelligent System (ICRIS). IEEE, 2016. http://dx.doi.org/10.1109/icris.2016.20.

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Lei Jiang, Jian-An Fang, and Wu-Neng Zhou. "Stability analysis of economic discrete-time singular dynamic input-output model." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4620631.

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Hongwei Zhang, Shuiying Ma, Xuehua Zhang, and Yuan Wang. "Analysis of Tianjin virtual water trade based on input-output model." In 2010 International Conference on System Science and Engineering (ICSSE). IEEE, 2010. http://dx.doi.org/10.1109/icsse.2010.5551796.

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Li, Tian-yi, and Gang Fang. "Research on the Development of Chinese Cultural and Creative Industries Based on Input-Output Analysis." In 2019 International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2019. http://dx.doi.org/10.1109/icemme49371.2019.00029.

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Fabusuyi, Tayo, and Juergen Pfeffer. "Applying an hybrid Input-Output Model and Network Analysis to Regional Economies." In 2018 IEEE International Smart Cities Conference (ISC2). IEEE, 2018. http://dx.doi.org/10.1109/isc2.2018.8656698.

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Wei, Yongda, Zongwei Luo, and Edward C. Wong. "Supply Chain Carbon Impact Analysis: A SCOR Based Input-Output Model Approach." In 2010 IEEE 7th International Conference on e-Business Engineering (ICEBE). IEEE, 2010. http://dx.doi.org/10.1109/icebe.2010.56.

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Reports on the topic "Input-output model analysis"

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Allison, T. The stability of input structures in a supply-driven input-output model: A regional analysis. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10158759.

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Dutta, Soumya, Jonathan Lee Woodring, and James Paul Ahrens. Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1392895.

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