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Journal articles on the topic 'Computable General Equilibrium (GCE) model'

Author: Grafiati

Published: 10 August 2021

Last updated: 1 February 2022

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1

Ismail, Saba, and Shahid Ahmed. "Economic Effects of Tariff Liberalization of Prospective India-GCC FTA: A Computable General Equilibrium Analysis." Foreign Trade Review 54, no. 3 (2019): 224–52. http://dx.doi.org/10.1177/0015732519854934.

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The trade relations between India and the Gulf Cooperation Council (GCC) countries have been intensified during the last two decades. The GCC has emerged as one of the largest trading partner of India. This article attempts to investigate the result of tariff liberalization on welfare, output, employment and the potential trade flows between India and the GCC region using the GTAP-model. The study reveals that tariff liberalization has positive effects on India and GCC countries, with no or nominal negative effect on the rest of the world. Overall results show that India’s trade relation with GCC countries is increasing continuously, but still there is a lot of untapped potential to bring the welfare gains for both trading partners. Finally, the study concludes that the proposed economic integration in terms of FTA between India and GCC will be mutually beneficial and welfare enhancing, and a case of a win–win situation. JEL Codes: F1, F13, F14, F17

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Roos, Elizabeth L., and Philip D. Adams. "The Economy-Wide Impact of Subsidy Reform: A CGE Analysis." World Trade Review 19, S1 (2020): s18—s38. http://dx.doi.org/10.1017/s1474745620000257.

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AbstractOil prices fell from around $US110 per barrel in 2014 to less than $US50per barrel at the start of 2017. This put enormous pressure on government budgets within the Gulf Cooperation Council (GCC) region. The focus of GCC economic policies quickly shifted to fiscal reform, including the removal of domestic subsidies on energy products. In this paper, we use a dynamic Computable General Equilibrium (CGE) model to investigate the economic impact of the gradual removal of subsidies on refined petroleum and electricity, with specific reference to the Kingdom of Saudi Arabia (KSA).Our study shows that removing subsidies eliminates a large distortion in the economy. This improves the efficiency of resource use, so that even though employment and capital in most years fall relative to baseline levels, real GDP rises. In addition, we show that fully-funded compensation payments offset the increases in energy prices, leaving economic welfare of the Saudi-national population little affected. Removing the energy subsidies leads to an improvement in the net volume of trade, while leading to a mixed outcome for industries.

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KOIKE, Atsushi, Yoshifumi ISHIKAWA, Takayuki UEDA, and Mitsugu KOUNO. "Computable General Equilibrium Model for Urban Area." INFRASTRUCTURE PLANNING REVIEW 20 (2003): 79–85. http://dx.doi.org/10.2208/journalip.20.79.

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Škare, Marinko, and Saša Stjepanovič. "Computable General Equilibrium Model for Croatian Economy." Economic Research-Ekonomska Istraživanja 24, no. 2 (2011): 44–59. http://dx.doi.org/10.1080/1331677x.2011.11517454.

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5

Nechyba, Thomas. "A computable general equilibrium model of intergovernmental aid." Journal of Public Economics 62, no. 3 (1996): 363–97. http://dx.doi.org/10.1016/0047-2727(95)01565-5.

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6

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 (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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Addy, Samuel N. "Note on a computable general equilibrium model for Ghana." Journal of Policy Modeling 23, no. 7 (2001): 821–24. http://dx.doi.org/10.1016/s0161-8938(01)00062-x.

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8

Gesualdo, Maria, James A. Giesecke, Nhi H. Tran, and Francesco Felici. "Building a computable general equilibrium tax model for Italy." Applied Economics 51, no. 56 (2019): 6009–20. http://dx.doi.org/10.1080/00036846.2019.1646875.

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9

Horridge, Mark. "A computable general equilibrium model of urban transport demands." Journal of Policy Modeling 16, no. 4 (1994): 427–57. http://dx.doi.org/10.1016/0161-8938(94)90037-x.

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10

Das, Koushik, and Pinaki Chakraborti. "General Equilibrium Analysis of Strategic Trade: A Computable General Equilibrium Model for India." IIM Kozhikode Society & Management Review 3, no. 2 (2014): 165–81. http://dx.doi.org/10.1177/2277975214542060.

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11

Löfgren, Hans, and Sherman Robinson. "Nonseparable Farm Household Decisions in a Computable General Equilibrium Model." American Journal of Agricultural Economics 81, no. 3 (1999): 663–70. http://dx.doi.org/10.2307/1244031.

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12

MORISUGI, Hisayoshi, Takayuki UEDA, Shinichi MUTO, and Yuichiro KONDO. "Constructing the Computable General Equilibrium Model Focusing the Transport Sector." INFRASTRUCTURE PLANNING REVIEW 13 (1996): 349–60. http://dx.doi.org/10.2208/journalip.13.349.

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13

OKUDA, Taka-aki, and Masashi MORISUGI. "A Computable General Equilibrium Model including Business Communication between Regions." INFRASTRUCTURE PLANNING REVIEW 17 (2000): 169–77. http://dx.doi.org/10.2208/journalip.17.169.

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14

Adams, Philip D., and Peter B. Dixon. "Generating detailed commodity forecasts from a computable general equilibrium model." International Journal of Forecasting 13, no. 2 (1997): 223–36. http://dx.doi.org/10.1016/s0169-2070(96)00713-3.

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15

Gharibnavaz, Mohammad Reza, and Robert Waschik. "A computable general equilibrium model of international sanctions in Iran." World Economy 41, no. 1 (2017): 287–307. http://dx.doi.org/10.1111/twec.12528.

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16

Fox, Tyler, and Don Fullerton. "The irrelevance of detail in and computable general equilibrium model." Economics Letters 36, no. 1 (1991): 67–70. http://dx.doi.org/10.1016/0165-1765(91)90057-r.

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17

Liu, Jing, Thomas Hertel, and Farzad Taheripour. "Analyzing Future Water Scarcity in Computable General Equilibrium Models." Water Economics and Policy 02, no. 04 (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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18

MUTO, Shinichi, and Toshiaki ITO. "CONSTRUCTION OF COMPUTABLE GENERAL EQUILIBRIUM MODEL INCLUDED LOCATION EQUILIBRIUM TO EVALUATE URBAN ENVIRONMENTAL PROJECTS." ENVIRONMENTAL SYSTEMS RESEARCH 33 (2005): 275–84. http://dx.doi.org/10.2208/proer.33.275.

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19

Wang, Jun. "A Computable General Equilibrium Model based Simulation on Water Conservancy Investment." Intelligent Automation and Soft Computing 24, no. 3 (2018): 553–61. http://dx.doi.org/10.31209/2018.100000022.

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20

ISHIKURA, Tomoki, and Yuta KIMURA. "OPEN ECONOMY SPATIAL COMPUTABLE GENERAL EQUILIBRIUM MODEL FEATURING INTERNATIONAL TRANSPORT GATEWAY." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 72, no. 1 (2016): 73–87. http://dx.doi.org/10.2208/jscejipm.72.73.

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21

ISHIGURO, Kazuhiko, Shinya HANAOKA, Hajime INAMURA, and Kiyonori MATSUKI. "Multi-regional Computable General Equilibrium Model for Evaluation of Maritime Policies." INFRASTRUCTURE PLANNING REVIEW 21 (2004): 745–50. http://dx.doi.org/10.2208/journalip.21.745.

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22

MIYAGI, Toshihiko, Kenichi HONBU, and Keisuke INOUE. "Modeling of Trade coefficients in Multi-regional Computable General Equilibrium Model." INFRASTRUCTURE PLANNING REVIEW 15 (1998): 93–100. http://dx.doi.org/10.2208/journalip.15.93.

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23

Higgs, Peter J., B. R. Parmenter, and Russell J. Rimmer. "A Hybrid Top-Down, Bottom-Up Regional Computable General Equilibrium Model." International Regional Science Review 11, no. 3 (1988): 317–28. http://dx.doi.org/10.1177/016001768801100308.

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24

Valenzuela, Ernesto, Thomas W. Hertel, Roman Keeney, and Jeffrey J. Reimer. "Assessing Global Computable General Equilibrium Model Validity Using Agricultural Price Volatility." American Journal of Agricultural Economics 89, no. 2 (2007): 383–97. http://dx.doi.org/10.1111/j.1467-8276.2007.00977.x.

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25

NAUDE, W. A., and P. BRIXEN. "On a Provisional Computable General Equilibrium Model for South Africa*(1)." South African Journal of Economics 61, no. 3 (1993): 219–26. http://dx.doi.org/10.1111/j.1813-6982.1993.tb01217.x.

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26

Hong, Chanyoung, Heewon Yang, Wonsik Hwang, and Jeong-Dong Lee. "Validation of an R&D-based computable general equilibrium model." Economic Modelling 42 (October 2014): 454–63. http://dx.doi.org/10.1016/j.econmod.2014.07.014.

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27

Breuss, Fritz, and Jean Tesche. "Hungary in transition: a computable general equilibrium model comparison with Austria." Journal of Policy Modeling 15, no. 5-6 (1993): 581–623. http://dx.doi.org/10.1016/0161-8938(93)90006-c.

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28

Masui, Toshihiko. "Policy evaluations under environmental constraints using a computable general equilibrium model." European Journal of Operational Research 166, no. 3 (2005): 843–55. http://dx.doi.org/10.1016/j.ejor.2004.07.002.

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29

Pa´dua, K. G. O. "Nonisothermal Gravitational Equilibrium Model." SPE Reservoir Evaluation & Engineering 2, no. 02 (1999): 211–17. http://dx.doi.org/10.2118/55972-pa.

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Summary This work presents a new computational model for the non-isothermal gravitational compositional equilibrium. The works of Bedrikovetsky [Mathemathical Theory of Oil and Gas Recovery, Kluwer Academic Publishers, London, (1993)] (gravity and temperature) and of Whitson and Belery ("Compositional Gradients in Petroleum Reservoirs," paper SPE 28000, presented at the 1994 University of Tulsa Centennal Petroleum Engineering Symposium, Tulsa, 29-31 August) (algorithm) are the basis of the mathematical formulation. Published data and previous simplified models validate the computational procedure. A large deep-water field in Campos Basin, Brazil, exemplifies the practical application of the model. The field has an unusual temperature gradient opposite to the Earth's thermal gradient. The results indicate the increase of oil segregation with temperature decrease. The application to field data suggests the reservoir could be partially connected. Fluid composition and property variation are extrapolated to different depths with its respective temperatures. The work is an example of the application of thermodynamic data to the evaluation of reservoir connectivity and fluid properties distribution. Problem Compositional variations along the hydrocarbon column are observed in many reservoirs around the world.1–4 They may affect reservoir/fluid characteristics considerably leading to different field development strategies.5 These variations are caused by many factors, such as gravity, temperature gradient, rock heterogeneity, hydrocarbon genesis and accumulation processes.6 In cases where thermodynamic associated factors (gravity and temperature) are dominant (mixing process in the secondary migration), existing gravitational compositional equilibrium (GCE) models7,8 provide an explanation of most observed variations. However, in some cases8,9 the thermal effect could have the same order of magnitude as the gravity effect. The formulation for calculating compositional variation under the force of gravity for an isothermal system was first given by Gibbs10 $$\mu {ci}(p, Z, T)=\mu {i}(p {{\rm ref}}, Z {{\rm ref}}, T {{\rm ref}}) - m {i}g(h - h {{\rm ref}}),\eqno ({\rm 1})$$ $$\mu {ci}=\delta [nRT\,{\rm ln}(f {i})]/\delta x,\eqno ({\rm 2})$$ $$f {i}=f({\rm EOS}),\eqno ({\rm 3})$$where p =pressure, T=temperature, Z=fluid composition, m=mass, ? c=chemical potential, h=depth, ref=reference, EOS=equation of state, i=component indices, R=real gas constant, n=number of moles, f=fugacity, ln=natural logarithm, x=component concentration, and g=gravitational acceleration. In 1930 Muskat11 provided an exact solution to Eq. (1), assuming a simplified equation of state and ideal mixing. Because of the oversimplified assumptions, the results suggest that gravity has a negligible effect on the compositional variation in reservoir systems. In 1938, Sage and Lacey12 used a more realistic equation of state (EOS), Eq. (3), to evaluate Eq. (2). At that time, the results showed significant composition variations with depth and greater ones for systems close to critical conditions. Schulte13 solved Eq. (1) using a cubic equation of state (3) in 1980. The results showed significant compositional variations. They also suggested a significant effect of the interaction coefficients and the aromatic content of the oil as well as a negligible effect of the EOS type (Peng-Robinson and Soave-Redlich-Kwong) on the final results. A simplified formulation that included gravity and temperature separately was presented by Holt et al.9 in 1983. Example calculations, limited to binary systems, suggest that thermal effects can be of the same magnitude as gravity effects. In 1988, Hirschberg5 discussed the influence of asphaltenes on compositional grading using a simplified two component model (asphaltenes and non-asphaltenes). He concluded, that for oils with oil gravity &lt;35°API, the compositional variations are mainly caused by asphalt segregation and the most important consequences are the large variations in oil viscosity and the possible formation of tar mats. Montel and Gouel7 presented an algorithm in 1985 for solving the GCE problem using an incremental hydrostatic term instead of solving for pressure directly. Field case applications of GCE models were presented by Riemens et al.2 in 1985, and by Creek et al.1 in 1988. They reported some difficulties in matching observed and calculated data but, in the end, it was shown that most compositional variations could be explained by the effect of gravity. Wheaton14 and Lee6 presented GCE models that included capillary forces in 1988 and 1989, respectively. Lee concluded that the effect of capillarity can become appreciable in the neighborhood of 1 ?m pore radius. In 1990, an attempt to combine the effects of gravity and temperature for a system of zero net mass flux was presented by Belery and Silva.15 The multicomponent model was an extension of earlier work by Dougherty and Drickamer16 that was originally developed in 1955 for binary liquid systems. The comparison of calculated and observed data from Ekofisk field in the North Sea is, however, not quantitatively accurate (with or without thermal effect). An extensive discussion and the formal mathematical treatment of compositional grading using irreversible thermodynamics, including gravitational and thermal fields, was presented by Bedrikovetsky17 in 1993. Due to the lack of necessary information on the values of thermal diffusion coefficients, which in general are obtained experimentally only for certain mixtures in narrow ranges of pressure and temperature, simplified models were proposed. In 1994, Hamoodi and Abed3 presented a field case of a giant Middle East reservoir with areal and vertical variations in its composition.

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30

Parewangi, Andi M. Alfian. "DAMPAK KRISIS GLOBAL TERHADAP PEREKONOMIAN DAERAH: APLIKASI MODEL COMPUTABLE GENERAL EQUILIBRIUM DI MALUKU." Buletin Ekonomi Moneter dan Perbankan 11, no. 4 (2009): 323–43. http://dx.doi.org/10.21098/bemp.v11i4.343.

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This paper analyzes the global crisis impact on regional economy in Indonesia. Using the multiregion and multi-sector Computable General Equilibrium model, the result shows the magnitude of the impact depends on each provincial global shock exposure. In general, the capital intensive and the tradable sector face higher activity reduction.A specific simulation is designed for Province Maluku. The result shows that an increase of labour productivity is capable to reduce the global crisis impact and increase the production activity hence the labour participation. However, the increase of the aggregate demand in Province Maluku has put a higher inflation pressure mainly for the commodities supplied from other provinces. This requires a higher effort of the provincial government of Maluku to increase their sectoral capacity utilization.JEL Classification: C68, E27, R13Keywords: Global crisis, regional, Computable General Equilibrium, Maluku.

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31

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 (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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32

MASUI, Toshihiko, Kenichi TSUCHIDA, Yuzuru MATSUOKA, and Tsuneyuki MORITA. "Integration of Computable General Equilibrium Model and End-use Model for Sewage Sludge Management." ENVIRONMENTAL SYSTEMS RESEARCH 29 (2001): 237–44. http://dx.doi.org/10.2208/proer.29.237.

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33

FUJIMORI, Shinichiro, Toshihiko MASUI, and Yuzuru MATSUOKA. "DEVELOPMENT OF COMPUTABLE GENERAL EQUILIBRIUM MODEL INCORPORATING BOTTOM-UP ENERGY DEVICE INFORMATION." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 69, no. 5 (2013): I_227—I_238. http://dx.doi.org/10.2208/jscejer.69.i_227.

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Perera, Subashini, Mahinda Siriwardana, and Stuart Mounter. "Trade Facilitation—Measurement Difficulties in the Computable General Equilibrium Model: A Review." Theoretical Economics Letters 07, no. 02 (2017): 154–63. http://dx.doi.org/10.4236/tel.2017.72013.

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신승진, 김재준, and Dongjoo Park. "Estimation of Steel Production/Consumption Using Multi-regional Computable General Equilibrium Model." Journal of Transport Research 23, no. 3 (2016): 21–41. http://dx.doi.org/10.34143/jtr.2016.23.3.21.

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36

Ricker, Martin. "Limits to economic growth as shown by a computable general equilibrium model." Ecological Economics 21, no. 2 (1997): 141–58. http://dx.doi.org/10.1016/s0921-8009(96)00099-7.

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37

Arndt, Channing, Sherman Robinson, and Finn Tarp. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach." Economic Modelling 19, no. 3 (2002): 375–98. http://dx.doi.org/10.1016/s0264-9993(01)00068-2.

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38

Roson, Roberto, and Kazuhiko Oyamada. "Implementing a computable general equilibrium model with heterogenous firms and endogenous productivity." International Journal of Computational Economics and Econometrics 6, no. 4 (2016): 432. http://dx.doi.org/10.1504/ijcee.2016.079535.

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39

Shkurykhin, Andriy. "Shadow labor market analysis within computable general equilibrium model of Ukrainian economy." Scientific Papers NaUKMA. Economics 1, no. 1 (2016): 172–76. http://dx.doi.org/10.18523/2519-4739112016124822.

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40

Despotakis, Kostas A., and Anthony C. Fisher. "Energy in a regional economy: A computable general equilibrium model for california." Journal of Environmental Economics and Management 15, no. 3 (1988): 313–30. http://dx.doi.org/10.1016/0095-0696(88)90005-8.

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41

Hasegawa, Tomoko, Shinichiro Fujimori, Toshihiko Masui, and Yuzuru Matsuoka. "Introducing detailed land-based mitigation measures into a computable general equilibrium model." Journal of Cleaner Production 114 (February 2016): 233–42. http://dx.doi.org/10.1016/j.jclepro.2015.03.093.

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42

Buckley, Patrick H. "A transportation-oriented interregional computable general equilibrium model of the United States." Annals of Regional Science 26, no. 4 (1992): 331–48. http://dx.doi.org/10.1007/bf01581865.

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MUTO, Shinichi, and Toshiaki ITO. "Construction of Computable General Equilibrium Model Considered Location Equilibrium to Evaluate Environmental Projects on Urban Transport." Chiikigaku Kenkyu (Studies in Regional Science) 36, no. 2 (2006): 503–12. http://dx.doi.org/10.2457/srs.36.503.

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ISHIKURA, Tomoki, and Keiichi SAKAI. "A MULTI-REGION OPEN ECONOMY COMPUTABLE GENERAL EQUILIBRIUM MODEL FOR TRADE GATEWAY CITY." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 68, no. 4 (2012): 305–15. http://dx.doi.org/10.2208/jscejipm.68.305.

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TAKAYAMA, Yuki, Takashi AKAMATSU, and Tomoki ISHIKURA. "DEVELOPMENT OF A SPATIAL COMPUTABLE GENERAL EQUILIBRIUM MODEL BASED ON NEW ECONOMIC GEOGRAPHY." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 70, no. 4 (2014): 245–58. http://dx.doi.org/10.2208/jscejipm.70.245.

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Fernandes Souza, Gustavo, Ana Flávia Machado, and Edson Paulo Domingues. "Economic Impacts of the Vale-Cultura (Culture Voucher): A Computable General Equilibrium Model." Theoretical Economics Letters 09, no. 05 (2019): 1411–33. http://dx.doi.org/10.4236/tel.2019.95091.

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Truong, Truong P., and David A. Hensher. "Linking discrete choice to continuous demand in a spatial computable general equilibrium model." Journal of Choice Modelling 12 (September 2014): 21–46. http://dx.doi.org/10.1016/j.jocm.2014.10.002.

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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 (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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49

Kim, Euijune, Geoffrey J. D. Hewings, and Hidayat Amir. "Economic evaluation of transportation projects: An application of Financial Computable General Equilibrium model." Research in Transportation Economics 61 (March 2017): 44–55. http://dx.doi.org/10.1016/j.retrec.2016.09.002.

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50

Davies, Rob, Jørn Rattsø, and Ragnar Torvik. "Short-Run Consequences of Trade Liberalization: A Computable General Equilibrium Model of Zimbabwe." Journal of Policy Modeling 20, no. 3 (1998): 305–33. http://dx.doi.org/10.1016/s0161-8938(97)00013-6.

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