Relevant bibliographies by topics / Computable general equilibrium (CGE) model

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Academic literature on the topic 'Computable general equilibrium (CGE) model'

Author: Grafiati
Published: 19 February 2023
Last updated: 20 February 2023

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Journal articles on the topic "Computable general equilibrium (CGE) model"

1

O. Odior, Ernest Simeon, and Sabastine Arinze. "THE CONCEPT OF COMPUTABLE GENERAL EQUILIBRIUM MODELS." International Journal of Research in Commerce and Management Studies 04, no. 02 (2022): 01–18. http://dx.doi.org/10.38193/ijrcms.2022.4201.

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This paper contributes to the existing literature on the general concept on use of the Computable general equilibrium (CGE) models of importance in developing processes. Computable general equilibrium (CGE) models are used widely in policy analysis, especially in developed-country academic settings and also for the purpose of sharing these lessons with potential users in developing countries. The range of issues on which CGE models have had an influence is quite wide, and includes structural adjustment policies, international trade, public finance, agriculture, income distribution, and energy and environmental policy. This paper describes how to build multi sector computable general equilibrium models for policy analysis. The article presents the social accounting matrix (SAM) that provides the conceptual framework linking together different components of the model and furnishes much of the data as well.
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Liu, Jing, Thomas Hertel, and Farzad Taheripour. "Analyzing Future Water Scarcity in Computable General Equilibrium Models." Water Economics and Policy 02, no. 04 (December 2016): 1650006. http://dx.doi.org/10.1142/s2382624x16500065.

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Incorporating water into a computable general equilibrium (CGE) model operating at global scale can be extremely demanding due to the absence of standardized data, the sheer dimensions caused by intersecting river basins with countries, and difficulties to model demand for and supply of water. This has led many authors to introduce water in their CGE modeling framework in different ways and at different spatial and sectoral aggregation levels. Of course, simplifying market for water and sacrificing the geographical realism risk introducing errors caused by inappropriate aggregation. In this paper, we use an elaborate global CGE model to investigate the three most commonly practiced simplifications: (1) tackling global questions in a national level model; (2) collapsing irrigated and rainfed crop production into a single sector; and (3) removing river basin boundaries within a country. In each case, we compare their performance in predicting the impacts of future irrigation scarcity on international trade, crop output, land use change and welfare, relative to the full scale model. As might be expected, the single region model does a good job of matching outcomes for that region, although changes in bilateral trade can entail significant errors. When it comes to the elimination of sub-national river basins and irrigation location, we find that, if the research question has to do with changes in national-scale trade, production and welfare changes, it may be sufficient to ignore the sub-national hydrological boundaries in global economic analysis of water scarcity. However, when decision makers have an interest in the distribution of inputs and outputs within a region, preserving the river basin and sectoral detail in the model brings considerable added value to the analysis.
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Konan, Demise Eby, and Karl Kim. "Transportation and Tourism in Hawaii: Computable General Equilibrium Model." Transportation Research Record: Journal of the Transportation Research Board 1839, no. 1 (January 2003): 142–49. http://dx.doi.org/10.3141/1839-16.

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Using data from the state of Hawaii input-output (I-O) table, the economic impact of the transportation sector in Hawaii was described, modeled, and forecast under a number of alternative scenarios. Transportation is compared with the key economic sectors in the state in output, exports, household consumption, visitor spending, number of employees, and compensation of employees. Next, the overall transportation sector was disaggregated into key activities and functions to present a more complete picture of the important role of transportation in Hawaii. A computable general equilibrium (CGE) model of the economy with a special focus on transportation is developed. Because tourism is the state's leading sector, the effects of both an increase and a decrease in visitor expenditures were modeled. Both measuring the economic importance of transportation in Hawaii and estimating probable consequences of potential economic changes are of interest. The visitor industry dominates Hawaii's economy, with small increases in visitor expenditures contributing significantly to the gross state product. Transportation industries, along with restaurant and accommodation services, account for a disproportionately large share of this growth. Key residential transportation sectors (transit and motor vehicles) contract in response to cost increases generated by a growth in visitor demand. The use of the I-O table and CGE modeling provides a useful analytical and planning tool for evaluating economic scenarios within a region such as Hawaii. The increased availability of both data sets and new modeling techniques offers opportunities to planners, engineers, and transportation policy makers.
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Hossain, Syed Shoyeb, and Huang Delin. "Rice and Wheat Tariff Impact in Bangladesh: CGE Analysis Using Gtap Model." Journal of Agricultural Science 11, no. 10 (July 15, 2019): 63. http://dx.doi.org/10.5539/jas.v11n10p63.

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Computable General Equilibrium (CGE) models are mostly used for agricultural market analysis globally. This paper constructs a Computable General Equilibrium model using Global Trade Analysis Project (GTAP) model followed by the GTAP 9A database. The primary aim of this paper is to analyze the potential impact of tariff increase on Agricultural crop sectors (Rice and Wheat) in Bangladesh and then describes the construction of the database. It also attempts to detect the trend of the tariff change impact on rice and wheat production in Bangladesh and other South Asian countries. Using database reference year 2011, this paper builds a computable general equilibrium model to measure the Tariff impact in Bangladesh. Result of the model suggests that if an import tariff is imposed, it will affect domestic-foreign relative price between Bangladesh and other south Asian countries. Bilateral trade between Bangladesh and South Asia country will decline sharply. Finally, this paper explained the policy scenario, data sources, and processing methods in details.
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Koks, Elco E., Lorenzo Carrera, Olaf Jonkeren, Jeroen C. J. H. Aerts, Trond G. Husby, Mark Thissen, Gabriele Standardi, and Jaroslav Mysiak. "Regional disaster impact analysis: comparing input–output and computable general equilibrium models." Natural Hazards and Earth System Sciences 16, no. 8 (August 16, 2016): 1911–24. http://dx.doi.org/10.5194/nhess-16-1911-2016.

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Abstract. A variety of models have been applied to assess the economic losses of disasters, of which the most common ones are input–output (IO) and computable general equilibrium (CGE) models. In addition, an increasing number of scholars have developed hybrid approaches: one that combines both or either of them in combination with noneconomic methods. While both IO and CGE models are widely used, they are mainly compared on theoretical grounds. Few studies have compared disaster impacts of different model types in a systematic way and for the same geographical area, using similar input data. Such a comparison is valuable from both a scientific and policy perspective as the magnitude and the spatial distribution of the estimated losses are born likely to vary with the chosen modelling approach (IO, CGE, or hybrid). Hence, regional disaster impact loss estimates resulting from a range of models facilitate better decisions and policy making. Therefore, this study analyses the economic consequences for a specific case study, using three regional disaster impact models: two hybrid IO models and a CGE model. The case study concerns two flood scenarios in the Po River basin in Italy. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of 7 between the three models, depending on the type of recovery path. Total economic impact, comprising all Italian regions, is negative in all models though.
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Koks, E. E., L. Carrera, O. Jonkeren, J. C. J. H. Aerts, T. G. Husby, M. Thissen, G. Standardi, and J. Mysiak. "Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models." Natural Hazards and Earth System Sciences Discussions 3, no. 11 (November 24, 2015): 7053–88. http://dx.doi.org/10.5194/nhessd-3-7053-2015.

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Abstract. A large variety of models has been developed to assess the economic losses of disasters, of which the most common ones are Input-Output (IO) and Computable General Equilibrium (CGE) models. In addition, an increasing numbers of scholars has developed hybrid approaches; one that combines both or either of them in combination with non-economic methods. While both IO and CGE models are widely used, they are mainly compared on theoretical grounds. Few studies have compared disaster impacts of different model types in a systematic way and for the same geographical area, using similar input data. Such a comparison is valuable from both a scientific and policy perspective as the magnitude and the spatial distribution of the estimated losses are likely to vary with the chosen modelling approach (IO, CGE, or hybrid). Hence, regional disaster impact loss estimates resulting from a range of models facilitates better decisions and policy making. Therefore, in this study we analyze one specific case study, using three regional models: two hybrid IO models and a regionally calibrated version of a global CGE model. The case study concerns two flood scenarios in the Po-river basin in Italy. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of seven between the three models, depending on the type of recovery path. Total economic impact, comprising all Italian regions, is negative in all models though.
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7

Wang, Shiyu. "Correlation Analysis between Tourism and Economic Growth Based on Computable General Equilibrium Model (CGE)." Journal of Sensors 2022 (June 20, 2022): 1–8. http://dx.doi.org/10.1155/2022/6497125.

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The current tourism industry has the problems of low service efficiency, poor coordinated development, and slow economic growth in terms of service volume and economic growth. This paper is based on computable general equilibrium (CGE) model. Firstly, a CGE data analysis model based on bee colony intensive breakthrough algorithm is established to store and analyze the data in the whole chain of tourism. Then, combined with the comparative analysis of tourism economic data over the years, it is fed back to the CGE model for error analysis. Finally, relevant experiments are designed to analyze the relationship between tourism and economic growth. The correlation degree of local economic growth is analyzed. The results show that, compared with the traditional research method of tourism economic growth based on module data analysis, this CGE model can realize the correlation analysis of the data involved in the process of tourism economic growth and analyze the factors affecting the speed of economic growth, which has the advantages of good reliability and strong pertinence.
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Robson, Edward, and Vinayak V. Dixit. "Constructing a Database for Computable General Equilibrium Modeling of Sydney, Australia, Transport Network." Transportation Research Record: Journal of the Transportation Research Board 2606, no. 1 (January 2017): 54–62. http://dx.doi.org/10.3141/2606-07.

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In the search for benefits to justify transport projects, economic appraisals have increasingly incorporated the valuation of impacts to the wider economy. Computable general equilibrium (CGE) models provide a framework to estimate these impacts by simulating the interactions of urban economies and transport networks. In CGE models, households and firms are represented by microeconomic behavioral functions, and markets adjust according to prices. As markets both inside and outside the transport network are taken into account, a wide variety of measures that can assist in economic appraisals can be extracted. However, urban CGE models are computationally burdensome and require detailed, spatially disaggregate data. This paper discusses the methodology used to develop a database, including an input–output table, for the calibration of an urban CGE model for Sydney, Australia. Official and publicly available data sources were manipulated by using a number of mathematical and statistical techniques to compile a table for 249 regions and 20 sectors across Sydney. Issues, such as determining the appropriate level of aggregation, generating incomplete data, and managing conflicting data, that other input–output table developers may encounter when constructing multiregional tables were addressed in the study. The table entries themselves were mapped and explored, as they provide a useful study of the spatial economy of Sydney. Future work will focus on streamlining the construction of input–output tables and incorporating new data sources.
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Widyastutik, Widyastutik, Suahasil Nazara, Rina Oktaviani, and Djamester Simarmata. "Trade Barrier Elimination, Economics of Scale and Market Competition: Computable General Equilibrium Model." Signifikan: Jurnal Ilmu Ekonomi 6, no. 2 (June 30, 2017): 189–216. http://dx.doi.org/10.15408/sjie.v6i2.5279.

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The ASEAN and its dialogue partner countries agreed to reduce trade barriers in the services sector, one of which is sea transport services. The purpose of this study is to estimate the equivalent tax of non-tariff barriers in the sea transport services. Besides that, this study is going to analyze the economic impacts of the regulatory barriers elimination in the sea transport services of ASEAN and its dialogue partner countries. Using the gravity model, it can be identified that trade barriers of sea transport services sector of ASEAN and dialogue partner countries are still relatively high. Additionally, by adopting IC-IRTS model in Global CGE Model (GTAP), the simulation results show consistent results with the theory of pro-competitive effects. The greater gain from trade is obtained in the CGE model assuming IC-IRTS compared to PC-CRTS. China gains a greater benefit that is indicated by the highest increase in welfare and GDP followed by Japan and AustraliaDOI: 10.15408/sjie.v6i2.5279
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Dixon, Peter B., and Maureen T. Rimmer. "Analysing Convergence with a Multi-Country Computable General Equilibrium Model: PPP versus Mer." Energy & Environment 16, no. 6 (November 2005): 901–21. http://dx.doi.org/10.1260/095830505775221524.

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In studies of the greenhouse gas implications of convergence by developing countries to the per-capita GNPs of developed countries, considerable discussion has centred on whether purchasing power parity (PPP) or market exchange rates (MER) should be used in measuring per-capita GNPs. We suggest that technology gaps between developing and developed countries should be the starting point for convergence analysis rather than per-capita GNP gaps. We estimate two sets of initial technology gaps, using PPP and MER price assumptions combined with input-output data. In simulating the effects of closing technology gaps (convergence) using a dynamic, multi-country CGE model, we find: the MER/PPP distinction matters. MER-based estimates of initial technology gaps lead to higher estimates of convergence-induced growth in greenhouse-gas-emitting industries in developing countries than do PPP-based estimates. the industry detail in CGE models is valuable. Our simulations show a wide range of convergence-induced changes in output across industries.
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Dissertations / Theses on the topic "Computable general equilibrium (CGE) model"

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Punt, Cecilia. "Modelling multi-product industries in computable general equilibrium (CGE) models." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/79959.

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Thesis (PhD (Agric))--Stellenbosch University, 2013.
ENGLISH ABSTRACT: It is common practice in computable general equilibrium (CGE) models that the output composition of multi-product industries remains constant despite changes in relative prices of products. The results of any scenario will show that products produced by a single industry will still be produced in the same ratio to each other as reflected by the base data. The objective of the study was to develop a CGE model for South Africa in which this assumption of fixed composition of output can be selectively relaxed. In order to allow industries to adjust their output composition in response to changes in relative prices of products a Constant Elasticity of Transformation (CET) function and the related first order condition were incorporated into an existing CGE model. This alternative specification of an output transformation function in the model enables the modeller to allow selected multi-product industries to increase production of products that show greater price increases relative to other products. The first order condition of the CET function determines the optimal combination of products for each industry. With the inclusion of the CET function there is a trade-off between theoretical rigour of the model and realism of the results, therefore an assumption of input-output separability was introduced as a way of recognising that the inclusion of a CET function violates the assumption that prices in the same row of a social accounting matrix (SAM) are equivalent. The model was calibrated with a SAM for South Africa for 2007 that was developed for purposes of this study. Set controls were included in the model to generalise the model in order that it can be calibrated with data from other countries as well. The SAM for South Africa contains provincial level information in the accounts for agriculture, labour and households. The agricultural industries are defined by geographical area, hence these industries are particularly good examples of multi-product industries that respond to relative price changes when determining production levels of individual products. The adjusted CGE model was used to analyse four scenarios focusing on selected issues mentioned in the National Development Plan for South Africa released by the National Planning Commission in 2011. The scenarios relate to increases in fruit exports as a result of global positioning, technical efficiency improvements for the agricultural sector through continued research and development, factor productivity growth in government and selected services sectors resulting from fighting corruption and curbing strikes, and augmenting the supply of skilled labour through an improvement in the quality of education. The results of the adjusted model show the desired effect: producers produce relatively more of the products for which they can get a relatively higher price and vice versa. This holds true regardless of whether the level of industry output increases or decreases. The impact of the model adjustment and the effects of changes in the levels of elasticities and choice of variables to close the model were analysed as part of the sensitivity analyses. The impact of changes in the functional form, elasticities and model closures on results, are different for each scenario.
AFRIKAANSE OPSOMMING: Dit is erkende praktyk in berekenbare algemene ewewigsmodelle dat die verhoudings waarin produkte tot mekaar geproduseer word deur multi-produk industrieë konstant gehou word, ongeag veranderings in relatiewe pryse van produkte. Die resultate van enige senario sal dus aandui dat die produkte wat deur 'n enkele industrie geproduseer word steeds in dieselfde verhouding tot mekaar geproduseer sal word, soos weerspieël in die basis data. Die doel van die studie was om 'n berekenbare algemene ewewigsmodel vir Suid-Afrika te ontwikkel wat die aanname dat die samestelling van elke industrie se uitset onveranderbaar is, selektief kan verslap. Om toe te laat dat industrieë die samestelling van uitset kan aanpas namate die relatiewe pryse van produkte verander, is 'n Konstante Elastisiteit van Transformasie funksie en die gepaardgaande eerste orde voorwaarde in 'n bestaande berekenbare algemene ewewigsmodel ingesluit. Die eerste orde voorwaarde bepaal die optimale verhoudings waarin produkte geproduseer moet word. Met die insluiting van die Konstante Elastisiteit van Transformasie funksie word teoretiese korrektheid van die model ingeboet in ruil vir meer realistiese resultate, dus is die aanname van inset-uitset onafhanklikheid gemaak en daardeur word ook erken dat as gevolg van die insluiting van die Konstante Elastisiteit van Transformasie funksie word daar nie meer voldoen aan die aanname data alle pryse in dieselfde ry van die sosiale rekeninge matriks (SRM) aan mekaar gelyk is nie. Die model is gekalibreer met 'n SRM vir Suid-Afrika vir 2007 wat vir doeleindes van die studie ontwikkel is. Deur die insluiting van kontroles vir versamelings is die model veralgemeen sodat die model ook met data van ander lande gekalibreer kan word. Die SRM vir Suid-Afrika se rekeninge vir landbou, arbeid en huishoudings bevat inligting op provinsiale vlak. Die landbou industrieë is volgens geografiese gebiede afgebaken en is dus besonder goeie voorbeelde van multi-produk industrieë wat reageer op relatiewe prys veranderings wanneer die produksievlakke van afsonderlike produkte bepaal word. Die aangepaste algemene ewewigsmodel is gebruik om vier senarios te ondersoek wat fokus op geselekteerde onderwerpe vervat in die Nasionale Ontwikkelingsplan wat deur die Nasionale Beplanningskommissie van Suid Afrika in 2011 vrygestel is. Die senarios hou verband met 'n styging in vrugte uitvoere as gevolg van globale posisionering, tegniese produktiwiteitsverhogings vir die landbousektor deur volgehoue navorsing en ontwikkeling, verhoging in die produktiwiteit van produksiefaktore van die regering en geselekteerde dienste sektore deur die aanspreek van korrupsie en vermindering in stakings, en die toename in geskoolde arbeid deur 'n verbetering in die kwaliteit van onderwys. Resultate van die aangepaste model toon die gewenste uitwerking: produsente produseer relatief meer van die produkte waarvoor hulle 'n relatiewe hoër prys kan kry, en omgekeerd. Dit geld ongeag of daar 'n verhoging of 'n verlaging in die vlak van die industrie se uitset is. Die impak van die modelaanpassing, die effek van veranderings in die vlakke van elastisiteite en die keuse van veranderlikes om die model te sluit, is geanaliseer as deel van die sensitiwiteitsanalises. Die impak van veranderings in die funksionele vorm, elastisiteite en modelsluiting op resultate, is verskillend vir elke senario.
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Naranpanawa, Athula Kithsiri Bandara, and n/a. "Trade Liberalisation and Poverty in a Computable General Equilibrium (CGE) Model: The Sri Lankan Case." Griffith University. Griffith Business School, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070130.165943.

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Many trade and development economists, policy makers and policy analysts around the world believe that globalisation promotes growth and reduces poverty. There exists a large body of theoretical and empirical literature on how trade liberalisation helps to promote growth and reduce poverty. However, critics of globalisation argue that, in developing countries, integration into the world economy makes the poor poorer and the rich richer. The most common criticism of globalisation is that it increases poverty and inequality. Much of the research related to the link between openness, growth and poverty has been based on cross-country regressions. Dollar and Kraay (2000; 2001), using regression analysis, argue that growth is pro poor. Moreover, their study suggests that growth does not affect distribution and poor as well as rich could benefit from it. Later, they demonstrate that openness to international trade stimulates rapid growth, thus linking trade liberalisation with improvements in wellbeing of the poor. Several other cross-country studies demonstrate a positive relationship between trade openness and economic growth (see for example Dollar, 1992; Sach and Warner, 1995 and Edward, 1998). In contrast, Rodriguez and Rodrik (2001) question the measurements related to trade openness in economic models, and suggest that generalisations cannot be made regarding the relationship between trade openness and growth. Several other studies also criticise the pro poor growth argument based upon the claim of weak econometrics and place more focus on the distributional aspect (see, for example, Rodrik, 2000). Ultimately, openness and growth have therefore become an empirical matter, and so has the relationship between trade and poverty. These weaknesses of cross-country studies have led to a need to provide evidence from case studies. Systematic case studies related to individual countries will at least complement cross-country studies such as that of Dollar and Kraay. As Chen and Ravallion (2004, p.30) argue, 'aggregate inequality or poverty may not change with trade reform even though there are gainers and losers at all levels of living'. They further argue that policy analysis which simply averages across diversities may miss important matters that are critical to the policy debate. In this study, Sri Lanka is used as a case study and a computable general equilibrium (CGE) approach is adopted as an analytical framework. Sri Lanka was selected as an interesting case in point to investigate this linkage for the following reasons: although Sri Lanka was the first country in the South Asian region to liberalise its trade substantially in the late seventies, it still experiences an incidence of poverty of a sizeable proportion that cannot be totally attributed to the long-standing civil conflict. Moreover, trade poverty linkage within the Sri Lankan context has hardly received any attention, while multi-sectoral general equilibrium poverty analysis within the Social Accounting Matrix (SAM) based CGE model has never been attempted. In order to examine the link between globalisation and poverty, a poverty focussed CGE model for the Sri Lankan economy has been developed in this study. As a requirement for the development of such a model, a SAM of the Sri Lankan economy for the year 1995 has been constructed. Moreover, in order to estimate the intra group income distribution in addition to the inter group income distribution, income distribution functional forms for different household groups have been empirically estimated and linked to the CGE model in 'top down' mode: this will compute a wide range of household level poverty and inequality measurements. This is a significant departure from the traditional representative agent hypothesis used to specifying household income distributions. Furthermore, as the general equilibrium framework permits endogenised prices, an attempt was made to endogenise the change in money metric poverty line within the CGE model. Finally, a set of simulation experiments was conducted to identify the impacts of trade liberalisation in manufacturing and agricultural industries on absolute and relative poverty at household level. The results show that, in the short run, trade liberalisation of manufacturing industries increases economic growth and reduces absolute poverty in low-income household groups. However, it is observed that the potential benefits accruing to the rural low-income group are relatively low compared to other two low-income groups. Reduction in the flow of government transfers to households following the loss of tariff revenue may be blamed for this trend. In contrast, long run results indicate that trade liberalisation reduces absolute poverty in substantial proportion in all groups. It further reveals that, in the long run, liberalisation of the manufacturing industries is more pro poor than that of the agricultural industries. Overall simulation results suggest that trade reforms may widen the income gap between the rich and the poor, thus promoting relative poverty. This may warrant active interventions with respect to poverty alleviation activities following trade policy reforms.
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3

Naranpanawa, Athula. "Trade Liberalisation and Poverty in a Computable General Equilibrium (CGE) Model: The Sri Lankan Case." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/366815.

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Many trade and development economists, policy makers and policy analysts around the world believe that globalisation promotes growth and reduces poverty. There exists a large body of theoretical and empirical literature on how trade liberalisation helps to promote growth and reduce poverty. However, critics of globalisation argue that, in developing countries, integration into the world economy makes the poor poorer and the rich richer. The most common criticism of globalisation is that it increases poverty and inequality. Much of the research related to the link between openness, growth and poverty has been based on cross-country regressions. Dollar and Kraay (2000; 2001), using regression analysis, argue that growth is pro poor. Moreover, their study suggests that growth does not affect distribution and poor as well as rich could benefit from it. Later, they demonstrate that openness to international trade stimulates rapid growth, thus linking trade liberalisation with improvements in wellbeing of the poor. Several other cross-country studies demonstrate a positive relationship between trade openness and economic growth (see for example Dollar, 1992; Sach and Warner, 1995 and Edward, 1998). In contrast, Rodriguez and Rodrik (2001) question the measurements related to trade openness in economic models, and suggest that generalisations cannot be made regarding the relationship between trade openness and growth. Several other studies also criticise the pro poor growth argument based upon the claim of weak econometrics and place more focus on the distributional aspect (see, for example, Rodrik, 2000). Ultimately, openness and growth have therefore become an empirical matter, and so has the relationship between trade and poverty. These weaknesses of cross-country studies have led to a need to provide evidence from case studies. Systematic case studies related to individual countries will at least complement cross-country studies such as that of Dollar and Kraay. As Chen and Ravallion (2004, p.30) argue, 'aggregate inequality or poverty may not change with trade reform even though there are gainers and losers at all levels of living'. They further argue that policy analysis which simply averages across diversities may miss important matters that are critical to the policy debate. In this study, Sri Lanka is used as a case study and a computable general equilibrium (CGE) approach is adopted as an analytical framework. Sri Lanka was selected as an interesting case in point to investigate this linkage for the following reasons: although Sri Lanka was the first country in the South Asian region to liberalise its trade substantially in the late seventies, it still experiences an incidence of poverty of a sizeable proportion that cannot be totally attributed to the long-standing civil conflict. Moreover, trade poverty linkage within the Sri Lankan context has hardly received any attention, while multi-sectoral general equilibrium poverty analysis within the Social Accounting Matrix (SAM) based CGE model has never been attempted. In order to examine the link between globalisation and poverty, a poverty focussed CGE model for the Sri Lankan economy has been developed in this study. As a requirement for the development of such a model, a SAM of the Sri Lankan economy for the year 1995 has been constructed. Moreover, in order to estimate the intra group income distribution in addition to the inter group income distribution, income distribution functional forms for different household groups have been empirically estimated and linked to the CGE model in 'top down' mode: this will compute a wide range of household level poverty and inequality measurements. This is a significant departure from the traditional representative agent hypothesis used to specifying household income distributions. Furthermore, as the general equilibrium framework permits endogenised prices, an attempt was made to endogenise the change in money metric poverty line within the CGE model. Finally, a set of simulation experiments was conducted to identify the impacts of trade liberalisation in manufacturing and agricultural industries on absolute and relative poverty at household level. The results show that, in the short run, trade liberalisation of manufacturing industries increases economic growth and reduces absolute poverty in low-income household groups. However, it is observed that the potential benefits accruing to the rural low-income group are relatively low compared to other two low-income groups. Reduction in the flow of government transfers to households following the loss of tariff revenue may be blamed for this trend. In contrast, long run results indicate that trade liberalisation reduces absolute poverty in substantial proportion in all groups. It further reveals that, in the long run, liberalisation of the manufacturing industries is more pro poor than that of the agricultural industries. Overall simulation results suggest that trade reforms may widen the income gap between the rich and the poor, thus promoting relative poverty. This may warrant active interventions with respect to poverty alleviation activities following trade policy reforms.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
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4

Gounder, Neelesh. "Trade Liberalization and Poverty in Fiji: A Computable General Equilibrium - Microsimulation Analysis." Thesis, Griffith University, 2013. http://hdl.handle.net/10072/367969.

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The aim of this thesis is to examine whether trade liberalization, in terms of complete tariff reductions, will contribute to poverty reduction in Fiji. Whilst poverty reduction is the ultimate goal of trade reforms, and if trade liberalization does promote growth, then will the poor benefit from this trade liberalization? Previous studies on trade liberalization on Fiji are based on partial equilibrium as well as general equilibrium analysis. These studies have shown that trade liberalization will have positive impacts on the Fijian economy. Trade liberalization is unlikely to produce equivalent results of its impact on poverty across households and regions. Thus even within a country or geographic regions, households and individuals are likely to be differently impacted. However, none of the existing studies focus on the impact of trade liberalization on poverty at the household level. This, according to my knowledge, is thus the first study using a computable general equilibrium combined with a microsimulation approach for analysing the impact of trade liberalization on poverty in Fiji. This research will therefore further our understanding of the impact of trade liberalization on poverty in a small island developing country. It will also fill the gap in the literature on Fiji which lacks the impact of macroeconomic policies such as the impact of trade liberalization on poverty.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
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Fernando, G. W. J. Sriyantha. "Tourism in Sri Lanka and a Computable General Equilibrium (CGE) Analysis of the Effects of Post-War Tourism Boom." Thesis, Griffith University, 2015. http://hdl.handle.net/10072/366944.

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The main objective of this study is two-fold. First, it aims to undertake a systematic and comprehensive analysis of the performance of the Sri Lankan tourism sector using historical data and policy documents and to present a historical narrative on tourism. Second, it aims to analyse the effects of the post-war tourism boom on the Sri Lankan economy within an economy-wide framework by developing a computable general equilibrium (CGE) model, labelled as SLCGE-Tourism. In the process of achieving the above objectives the study addressed two knowledge gaps related to Sri Lankan tourism as identified in the literature. The first knowledge gap is that there is a lack of systematic historical analysis of Sri Lankan tourism both in terms of policy and data. This study contributes significantly in addressing this knowledge gap by undertaking a number of complementary analyses. Firstly, it undertakes a systematic and comprehensive analysis of post-independence tourism promotion strategies in the economic development process. It shows that Sri Lanka had many post-independence advantages, especially given its strategic location in the Indian Ocean and on the major air and sea routes between Europe and the Far East. However, it missed opportunities due to inward-oriented development policies implemented by successive governments until 1977 and the three decade long civil war and other political violence ending in 2009.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
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Gomo, Charity [Verfasser]. "Government social assistance transfers, income inequality and poverty in South Africa: a Computable General Equilibrium (CGE) - Microsimulation (MS) Model / Charity Gomo." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/1077768036/34.

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Al-Hawwas, Abdullah. "Policy experiments for the Saudi's economy using a Computable General Equilibrium model (CGE) : oil demand and tariff liberalisation effects on the Saudi economy." Thesis, University of Dundee, 2010. https://discovery.dundee.ac.uk/en/studentTheses/5028d3bf-71ed-4788-b032-945fd8b002c9.

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This thesis aims to provide a comprehensive analysis using a Computable General Equilibrium (CGE) Model for the economy of Saudi Arabia and of the possible effects of some policy measures. It further explains the mechanisms through which they affect different economic agents. Using a static CGE Model, we show the possible micro and macroeconomic effects of an exogenous shock of world oil demand and the possibility of adapting a trade liberalisation regime in Saudi Arabia. Specifically, this study comprises of two main experiments each with a number of simulations. The first experiment examines the effects of an increase in world oil demand on the Saudi economy. Due to the significant effects of closure rules on the results, this experiment implements two simulations based on an alternative closure rules, the first in which saving is flexible and investment remains fixed, the second in which investmentis flexible and saving remain fixed. The second experiment investigates the impact of tariff elimination on the Saudi economy. As a result of dropping the import tax, government revenue declines. Based on that the experiment includes three simulations:(i) Examines the effects of tariff elimination without revenue neutral policies, (ii) examines the effects of tariff elimination combined with revenue neutral policy (sales tax) and (iii) examines the effects of tariff elimination combined with income tax.Sensitivity analysis has been done to test the robustness of the model. Household welfare effects have also been measured across households using an Equivalent Variation measure (EV). The study concludes that the third simulation (iii) in the second experiment is preferred in case compensation tariff drop but the first simulation (i) in second experiment is better and use oil revenue for compensation instead.
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Hubic, Amela. "A financial CGE model for Luxembourg." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209083.

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Luxembourg is one of the most successful financial centers in the world. Initially associated with international syndicated loans, euro-bonds and euro-currency markets, Luxembourg has developed as a center for private banking and is currently the second largest center for the domiciliation of investment funds in the world after the US - with a portfolio equivalent to about sixty times the country’s GDP -, and the first captive reinsurance market in the European Union. As in many other financial centers, the interbank market plays an important role. This partly reflects intra-group operations of foreign banks using their Luxembourg branches and subsidiaries to adjust their liquidity position. More generally, Luxembourg has attracted foreign banks seeking to benefit from its favorable regulatory framework, political stability, language skills of the local workforce and the agglomeration of specialized skills in accounting and legal services.

The importance of the financial sector in Luxembourg implies that a computable general equilibrium (CGE) model with explicit modeling of the financial sector is indispensable in order to properly take into account the interaction between the financial and the real sector in the economy and the interconnectedness between different financial institutional sectors (e.g. commercial banks and investment funds). Explicit modeling of the financial sector also allows for an analysis of how the economy might respond to financial shocks.

This dissertation contributes to the literature by developing two analytical tools:

1.\
Doctorat en Sciences économiques et de gestion
info:eu-repo/semantics/nonPublished

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Look, Wesley Allen. "The economics of US greenhouse gas emissions reduction policy : assessing distributional effects across households and the 50 United States using a recursive dynamic computable general equilibrium (CGE) model." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79205.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 60-62).
The political economy of US climate policy has revolved around state- and district- level distributional economics, and to a lesser extent household-level distribution questions. Many politicians and analysts have suggested that state- and district-level climate policy costs (and their distribution) are a function of local carbon intensity and commensurate electricity price sensitivity. However, other studies have suggested that what is most important in determining costs is the means by which revenues from a price on carbon are allocated. This is one of the first studies to analyze these questions simultaneously across all 50 United States, household income classes and a timeframe that reflects most recent policy proposals (2015 - 2050). I use a recursive dynamic computable general equilibrium (CGE) model to estimate the economic effects of a US "cap-and-dividend" policy, by simulating the implementation of the Carbon Limits and Energy for America's Renewal (CLEAR) Act, a bill proposed by Senators Cantwell (D-WA) and Collins (R-ME) in 2009. I find that while carbon intensity and electricity prices are indeed important in determining compliance costs in some states, they are only part of the story. My results suggest that revenue allocation mechanisms and new investment trends related to the switch to low-carbon infrastructure are more influential than incumbent carbon intensity or electricity price impacts in determining the distribution of state-level policy costs. These findings suggest that the current debate in the United States legislature over climate policy, and the constellation of both supporters and dissenters, is based upon an incomplete set of assumptions that must be revisited. Finally, please note that this study does not claim to comprehensively model the CLEAR Act,. nor does it incorporate a number of important data and assumptions, including: the latest data on natural gas resources and prices, the price effects on coal of EPA greenhouse gas and mercury regulations, the most recent trends in renewable energy pricing.
by Wesley Allen Look.
S.M.
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Pham, Tien Duc, and n/a. "A new approach to regional modelling: an Integrated Regional Equation System (IRES)." Griffith University. School of International Business and Asian Studies, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20041022.083520.

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This thesis develops a new structure that explicitly combines two CGE models, a national and a regional, in an integrated structure that gives the thesis model the name IRES, in short for the Integrated Regional Equation System. The typical features of the integrated structure are the adding-up conditions and the two-way linkages between the national and the regional modules facilitated by the interface shifters. The adding-up conditions ensure the two modules produce consistent results and updated databases. The inclusion of the interface shifters on the one hand plays a role in ensuring compatibility of results of the two modules, i.e. no distortion occurs because technical or taste changes are transferred across modules. On the other hand, the interface shifters assist the operation of IRES in different modes: the model can be used as a top-down model, a bottom-up model or an integrated model where national and regional shocks can be introduced at the same time. Hence, IRES has more flexibility in its application than a regional model or a national model alone, as IRES can make use of availability of data at any levels in the economy. IRES has a new labour market in which regional migration is no longer the only factor that settles the labour market as in the original setting of the MMRF model. Regional unemployment and regional participation rates are modelled to response to changes in regional employment growth using elasticities estimated econometrically in this thesis. IRES implements historical patterns of regional migration so that results of regional migration are consistent with observed patterns. Altogether, regional migration, regional unemployment and participation rates determine the equilibrium of the labour market. IRES adopts new approaches to modelling margin demands and indirect taxes. These new approaches are very effective in reducing the size of IRES but they do not compromise the use of the model. These approaches are readily applicable to any other regional CGE models.
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Books on the topic "Computable general equilibrium (CGE) model"

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Robinson, Sherman. The USDA/ERS computable general equilibrium (CGE) model of the United States. Washington, DC (1301 New York Ave., N.W., Washington, DC 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, Agriculture and Rural Economy Division, 1990.

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Huan jing CGE mo xing ji ying yong. Beijing: Ke xue chu ban she, 2011.

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Koronczi, Karol. Impacts of Slovak trade policy for European integration: A dynamic Computable General Equilibrium (CGE) approach. Bratislava: Merkury, 2004.

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Falokun, Gabriel O. Foreign trade policy, exchange rate regimes and economic development in Nigeria: A computable general equilibrium (CGE) analysis. Ibadan: Nigerian Institute of Social and Economic Research (NISER), 2006.

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Ji yu CGE de ji shu bian hua mo ni ji qi zai qi hou zheng ce fen xi zhong de ying yong: Technological change simulation and its application in climate change policy analysis based on a CGE model. Beijing: Zhongguo huan jing ke xue chu ban she, 2011.

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Purnawan, M. Edhie. Dampak perdagangan bebas dan pemanasan global pada produksi pertanian dan ekonomi global: Aplikasi model computable general equilibrium (CGE) : laporan penelitian hibah bersaing VI/2 perguruan tinggi. [Yogyakarta]: Lembaga Penelitian, Universitas Gadjah Mada, 1999.

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Buehrer, Timothy. A computable general equilibrium model of Nepal. Manila, Philippines: Asian Development Bank, 1993.

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Nechyba, Thomas J. A computable general equilibrium model of intergovernmental aid. Cambridge, MA: National Bureau of Economic Research, 1996.

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Condon, Timothy. Implementing a computable general equilibrium model on GAMS: The Cameroon model. [Washington, DC]: Development Research Department, World Bank, 1987.

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Denny, Kevin. A computable general equilibrium model of the Irish economy: Technical appendix. Dublin: University College Dublin (Department of Economics: Centre for Economic Research), 1995.

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Book chapters on the topic "Computable general equilibrium (CGE) model"

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Hosoe, Nobuhiro, Kenji Gasawa, and Hideo Hashimoto. "The Simple CGE Model." In Textbook of Computable General Equilibrium Modelling, 13–22. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230281653_2.

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Hosoe, Nobuhiro, Kenji Gasawa, and Hideo Hashimoto. "The Standard CGE Model." In Textbook of Computable General Equilibrium Modelling, 87–121. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230281653_6.

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Scandizzo, Pasquale Lucio, Raffaello Cervigni, and Cataldo Ferrarese. "A CGE Model for Mauritius Ocean Economy." In The New Generation of Computable General Equilibrium Models, 173–203. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58533-8_8.

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Scandizzo, Pasquale Lucio, Maria Rita Pierleoni, and Daniele Cufari. "A CGE Model for Productivity and Investment in Kenya." In The New Generation of Computable General Equilibrium Models, 119–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58533-8_6.

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Pal, Barun Deb, Vijay P. Ojha, Sanjib Pohit, and Joyashree Roy. "An Environmental Computable General Equilibrium (CGE) Model for India." In India Studies in Business and Economics, 73–93. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1943-9_6.

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Bosello, Francesco, and Gabriele Standardi. "A Sub-national CGE Model for the European Mediterranean Countries." In The New Generation of Computable General Equilibrium Models, 279–308. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58533-8_11.

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Severini, Francesca, Rosita Pretaroli, and Claudio Socci. "Green and Blue Dividends and Environmental Tax Reform: Dynamic CGE Model." In The New Generation of Computable General Equilibrium Models, 249–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58533-8_10.

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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.

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AbstractSocioeconomic studies on adaptation based on bottom-up approaches have been focusing mainly on local impacts of weather-related variations, thereby neglecting potential remote impacts. There is little knowledge about challenges that relate to the global and long-term character of climate change. By contrast, impact assessment studies using top-down approaches, such as multi-region, multi-sector computable general equilibrium (CGE) models, provide a consistent framework to capture potential remote impacts, which occur through cross-sectoral and cross-regional interactions. Here we present main findings of our economic impact assessments of climate change and adaption modelling. Furthermore, we discuss the challenges for incorporating adaptation measures and policies into macroeconomic models.
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Takeda, Shiro. "The Competitiveness Issue of the Japanese Economy Under Carbon Pricing: A Computable General Equilibrium Analysis of 2050." In Economics, Law, and Institutions in Asia Pacific, 181–96. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6964-7_10.

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Abstract Using a computable general equilibrium (CGE) model, this paper investigates the impact of carbon regulations on the Japanese economy. We use an 11-sector, 15-region global dynamic CGE model with a time span from 2011 to 2050. We assume that Japan (along with other developed regions) reduces CO2 emissions by 80% by 2050 and analyze the impact on the Japanese economy. In particular, we consider multiple scenarios of CO2 reduction rates in less developed regions and analyze how changes in CO2 reduction in these regions affect Japan. In addition, we also consider multiple scenarios of the use of a border adjustment policy and analyze its impact. Our simulation results are summarized as follows. First, an 80% CO2 reduction in Japan generates large negative impacts on the Japanese economy in terms of both the macroeconomy and individual sectors. Second, changes in the reduction rates in less developed regions have only a small impact on Japan. Third, the use of border adjustment in Japan has a small impact on the GDP and welfare of Japan overall but a large impact on output in the energy intensive sectors. When future climate change policies in Japan are discussed, much attention is usually paid to climate policy in less developed regions. However, the second result of our analysis suggests that climate change policy in less developed regions has only a small impact on Japan. In addition, the third result indicates that the effectiveness of border adjustment is limited.
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Blake, Adam. "Computable general equilibrium model." In Encyclopedia of Tourism, 176–77. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_349.

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Conference papers on the topic "Computable general equilibrium (CGE) model"

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Huang, Yu-Hui. "Linking GIS and Computable General Equilibrium Model for Studying Resource Supply." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.716.

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Li, Li, and Dai Shiliang. "The Impact of Energy Efficiency Gains on Output with Computable General Equilibrium Model." In 2009 International Conference on Energy and Environment Technology. IEEE, 2009. http://dx.doi.org/10.1109/iceet.2009.111.

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Xie, Jie. "Determinant Factors of RMB Real Exchange Rate - Based on Computable General Equilibrium Model Analysis." In 2010 2nd International Conference on E-business and Information System Security (EBISS). IEEE, 2010. http://dx.doi.org/10.1109/ebiss.2010.5473719.

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Xie Jie. "Greenhouse effects on the world agriculture—based on computable general equilibrium model analysis." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536266.

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Ashimov, Abdykappar A., Bakhyt T. Sultanov, Yuriy V. Borovskiy, Nikolay Y. Borovskiy, Rakhman A. Alshanov, and Askar A. Ashimov. "Parametrical Regulation of Economic Growth on the Basis of Non-Autonomous Computable General Equilibrium Model." In Applied Simulation and Modelling. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.776-032.

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Ashimov, Abdykappar A., Bahyt T. Sultanov, Yuriy V. Borovskiy, Simon Ya Serovajsky, Nikolay Yu Borovskiy, Askar A. Ashimov, and Bakytzhan A. Aisakova. "Parametrical Regulation of Economic Growth based on One Computable General Equilibrium Model Taking into Account Noise Effects." In Applied Simulation and Modelling. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.715-014.

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Ashimov, Abdykappar A., Bahyt T. Sultanov, Zheksenbek M. Adilov, Yuriy V. Borovskiy, and Dauren K. Suissenbayev. "Parametrical Regulation of Economic Growth Based on the Stochastic Computable Model of General Equilibrium with Knowledge Sector." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5999370.

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Giritli, Nuru, and Sevin Uğural. "Impact of Decrease in Supply of Land for Domestic use in North Cyprus: Computerized General Equilibrium (CGE) Model Approach." In International Conference on Eurasian Economies. Eurasian Economists Association, 2012. http://dx.doi.org/10.36880/c03.00569.

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Cyprus Island has been divided into two parts since 1974. In April 2003 crossing the Green Line across the borders became possible and both parts of the Island benefited from this; firstly due to resulted domestic tourism in both sides and secondly from new employment opportunities mainly for Turkish Cypriots in South. Besides that, positive expectations over the Cyprus problem accelerated the expenditures in both sides. In the North, demand for land and new dwellings increased, pushing prices upward. Demand for land and a new property by foreigners is busted in recent years. The UK, Israel, Russia and some other countries started to buy land in the North Cyprus by securing resources to their businessmen especially in the areas of Komi Kepir, Kalogrea, Akanthou, Karpass, Risokarpaso, Yialousa and Livera. Such increase in demand by foreigners decreased the supply of land to domestic use. This has many implications on North Cyprus economy which is very small with limited resources in production. In this study, 4- factor, 13-industry a single country general equilibrium model is used to investigate the changes in income, employment, prices, output and inputs required for production resulted from this supply shock. Results show that, under fixed capital and flexible labor market, 10% reduction in land supply increased the value of land by 108.8%, income increased by 2.04 % and prices of skilled labor and capital increased by 1.028% and 1.020% respectively and due to the reduction of land supply, output decreased by 1.53%.
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Kunimitsu, Y. "Asset management of public facilities in an era of climate change: application of the dynamic computable general equilibrium model." In SUSTAINABLE DEVELOPMENT AND PLANNING 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/sdp110461.

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Reports on the topic "Computable general equilibrium (CGE) model"

1

Nechyba, Thomas. A Computable General Equilibrium Model of Intergovernmental Aid. Cambridge, MA: National Bureau of Economic Research, January 1996. http://dx.doi.org/10.3386/w5420.

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Helgeson, Jennifer, Juan Fung, Cheyney O'Fallon, David Webb, and Harvey Cutler. A computable general equilibrium model of cedar rapids. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2029.

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Edwards, Brian Keith, and Riccardo Boero. Computable general equilibrium model fiscal year 2014 capability development report. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1248100.

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Edwards, Brian Keith, Michael Kelly Rivera, and Riccardo Boero. Computable general equilibrium model fiscal year 2013 capability development report. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1253549.

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Edwards, Brian Keith, Michael K. Rivera, and Riccardo Boero. Computable General Equilibrium Model Fiscal Year 2013 Capability Development Report - April 2014. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1258348.

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Soummane, Salaheddine, and Frédéric Ghersi. Projecting Saudi Sectoral Electricity Demand in 2030 Using a Computable General Equilibrium Model. King Abdullah Petroleum Studies and Research Center, September 2021. http://dx.doi.org/10.30573/ks--2021-dp12.

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Projecting future demand for electricity is central to power sector planning, as these projections inform capacity investment requirements and related infrastructure expansions. Electricity is not currently economically storable in large volumes. Thus, the underlying drivers of electricity demand and potential market shifts must be carefully considered to minimize power system costs.
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Gentile, Elisabetta, Gen Li, and Mahinthan Joseph Mariasingham. Assessing the Impact of the United States–People’s Republic of China Trade Dispute Using a Multiregional Computable General Equilibrium Model. Asian Development Bank, September 2020. http://dx.doi.org/10.22617/wps200258-2.

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Park, Cyn-Young, Peter A. Petri, and Michael G. Plummer. Economic Implications of the Regional Comprehensive Economic Partnership for Asia and the Pacific. Asian Development Bank, October 2021. http://dx.doi.org/10.22617/wps210371-2.

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The Regional Comprehensive Economic Partnership (RCEP) presents strong potential to mold regional trade and investment patterns well into the future and to influence the direction of global economic cooperation at a challenging time. This paper evaluates the RCEP’s impact on global and regional incomes, trade, economic structure, factor returns, and employment using a computable general equilibrium model. The results suggest that the RCEP agreement could generate sizable global income gains. Together with the Comprehensive and Progressive Agreement on Trans-Pacific Partnership, the RCEP will also strengthen the region’s manufacturing supply chains, raising productivity and increasing wages and employment.
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