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1

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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2

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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3

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
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4

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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5

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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6

Pan, Haoran, Pierre Failler, Qianyi Du, et al. "An Inter-Temporal Computable General Equilibrium Model for Fisheries." Sustainability 14, no. 11 (2022): 6444. http://dx.doi.org/10.3390/su14116444.

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Computable general equilibrium models have been a popular tool for policy analysis in recent decades, but rarely applied for fisheries policy and management. This paper presents an inter-temporal computable general equilibrium model with fisheries details. While the model in a full-scale and disaggregate way describes the structure and dynamics of a regional fisheries economy, it further specifies the heterogeneous bottom-up fish producers, such as harvesters, aquaculture and fish-processing firms, and links fisheries with the top–down non-fisheries economic sectors. In addition, the model can
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7

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) m
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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

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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10

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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11

Nesterova, Kristina. "Multiregional Models of General Equilibrium: Framework and Applications." Administrative Consulting, no. 12 (June 7, 2017): 92–101. https://doi.org/10.22394/1726-1139-2017-12-92-101.

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Computable general equilibrium (CGE) modelshelp to assess various aspects of economic policy. Multiregional CGE framework allowsanalyzing challenging issues of trade, tax and environmental policies, such as entering international trade organizations, introduction or reduction of trade barriers, tax reforms, pension reforms or emissions reduction. This paper offers a detailed discussion of the tools for CGE modelling as well as of major multiregional CGE models.
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12

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 pa
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13

Білоусова, Т. П. "GENERAL ECONOMIC EQUILIBRIUM MODELS." Таврійський науковий вісник. Серія: Економіка, no. 20 (May 31, 2024): 38–42. http://dx.doi.org/10.32782/2708-0366/2024.20.4.

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The article examines the possibilities and limitations of empirical models of general economic equilibrium and makes their classification. Computable general equilibrium models are divided into two groups: the first group is based on the equilibrium price model (G. Scarf's approach), the second is based on a multi-sectoral model of economic growth (L. Johansen's approach). Dynamic stochastic general equilibrium models are also divided into two groups: the first group is based on the model of the real business cycle (the approach of F. Kydland and E. Prescott), the second is based on the model
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14

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
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15

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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16

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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17

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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18

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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19

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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20

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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21

Kitetu, Geoffrey Musyoki, Jong-Hwan Ko, and Esambe Sone. "A Korea-Kenya Free Trade Agreement and Its Economic Impact: A Computable General Equilibrium Approach." Korea International Trade Research Institute 19, no. 1 (2023): 1–22. http://dx.doi.org/10.16980/jitc.19.1.202302.1.

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Purpose – This study assesses the impact of a potential Korea-Kenya FTA on the global economy, which includes the US, EU, UK, China, and Japan, using the Global Trade Analysis Project (GTAP) model. Design/Methodology/Approach – The study employs a static global multi-sector CGE model using the GTAP database version 10 with the base year of 2014. For this study, we aggregate the 141 regions and 65 sectors of the GTAP database into 16 regions and 57 sectors. Four policy simulations were implemented based on tariffs and ad valorem equivalents (AVEs) of non-tariff measures (NTMs) estimated by Kite
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22

ZHONG, Shuai, Mitsuru OKIYAMA, and Suminori TOKUNAGA. "Policy Analysis of Water Management Systems in China: Utilizing a Computable General Equilibrium Model on Drought Simulation." Studies in Regional Science 46, no. 2 (2016): 181–97. http://dx.doi.org/10.2457/srs.46.181.

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23

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 aggr
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24

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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25

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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26

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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27

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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28

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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29

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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30

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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31

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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32

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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33

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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34

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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35

Boeters, Stefan, Nicole Gürtzgen, and Reinhold Schnabel. "Reforming Social Welfare in Germany: An Applied General Equilibrium Analysis." German Economic Review 7, no. 4 (2006): 363–88. http://dx.doi.org/10.1111/j.1468-0475.2006.00124.x.

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Abstract In this paper, the effects of social assistance reform proposals are discussed for the case of Germany using a computable general equilibrium model that incorporates a discrete choice model of labour supply. This allows us to identify general equilibrium effects of the reforms on wages and unemployment. The simulation results show that general equilibrium wage reactions mitigate labour supply effects and that unemployment in fact decreases. Wage reactions are thus sufficiently strong to prevent additional labour supply from translating into higher unemployment. The simulations indicat
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36

Agustina, Maulidar, Zia Thahira, Naswatun Zikra, Faizah Amalina, Mohd Afjal, and Ghalieb Mutig Idroes. "General Equilibrium Model Applications in Energy Research: A Bibliometric Analysis." Ekonomikalia Journal of Economics 3, no. 1 (2025): 64–77. https://doi.org/10.60084/eje.v3i1.291.

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This study investigates the scholarly landscape of General Equilibrium (GE) model applications within the field of energy research through a bibliometric lens. Utilizing a dataset of 864 journal articles indexed in Scopus from 1974 to 2022, the research maps publication trends, identifies leading contributors, and uncovers prevailing thematic clusters within the field. The analysis employs VOSviewer to visualize co-authorship networks, as well as institutional and country-level productivity, source relevance, and keyword co-occurrence patterns. Results reveal that China, the United States, and
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37

Maipita, Indra, Wawan Hermawan, and Fitrawaty Fitrawaty. "REDUCING POVERTY THROUGH SUBSIDIES: SIMULATION OF FUEL SUBSIDY DIVERSION TO NON-FOOD CROPS." Buletin Ekonomi Moneter dan Perbankan 14, no. 4 (2012): 369–88. http://dx.doi.org/10.21098/bemp.v14i4.364.

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This paper analyzes the impact of fuel subsidy diversion to Non-Food Crops sector on income levels, using AGEFIS; a Computable General Equilibrium model. Then we proceed to apply the Foster-Greer-Thorbecke (FGT) index to measure the indicators of poverty (head count index, poverty gap index and poverty severity index). The simulation result shows the fuel subsidy diversion to Non-Food Crops sector provides a positive impact on increasing household incomes and poverty reduction. Furthermore, the fuel subsidy diversion to Non-Food Crops sector reduces the poverty of rural household, larger than
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38

Maipita, Indra, Wawan Hermawan, and Fitrawaty Fitrawaty. "REDUCING POVERTY THROUGH SUBSIDIES: SIMULATION OF FUEL SUBSIDY DIVERSION TO NON-FOOD CROPS." Buletin Ekonomi Moneter dan Perbankan 14, no. 4 (2012): 349–66. http://dx.doi.org/10.21098/bemp.v14i4.412.

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This paper analyzes the impact of fuel subsidy diversion to Non-Food Crops sector on income levels, using AGEFIS; a Computable General Equilibrium model. Then we proceed to apply the Foster-Greer-Thorbecke (FGT) index to measure the indicators of poverty (head count index, poverty gap index and poverty severity index). The simulation result shows the fuel subsidy diversion to Non-Food Crops sector provides a positive impact on increasing household incomes and poverty reduction. Furthermore, the fuel subsidy diversion to Non-Food Crops sector reduces the poverty of rural household, larger than
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39

VILLATORO, Hector, Takaaki FURUBAYASHI, and Toshihiko NAKATA. "ICOPE-15-1055 Analysis of the introduction of biofuel from rice in Japan using a computable general equilibrium model." Proceedings of the International Conference on Power Engineering (ICOPE) 2015.12 (2015): _ICOPE—15——_ICOPE—15—. http://dx.doi.org/10.1299/jsmeicope.2015.12._icope-15-_39.

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40

Harrlgan, F., P. G. McGregor, J. K. Swales, and N. Dourmashkin. "Imperfect Competition in Regional Labour Markets: A Computable General Equilibrium Analysis." Environment and Planning A: Economy and Space 24, no. 10 (1992): 1463–81. http://dx.doi.org/10.1068/a241463.

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The system-wide impacts of imperfect competition in the regional labour market are examined by means of a macro-micro simulation model (AMOS) parameterised on Scottish data. A number of theories of the operation of the regional labour market are reviewed and it is indicated how these can be operationalised within AMOS through the adoption of different labour-market closures. Two sets of simulations are performed. The first involves nominal and real wage shocks to the regional economy. In the second, a demand disturbance is introduced under various labour-market closures. The sensitivity of the
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41

Kearney, M., and J. H. Van Heerden. "Zero-rating food in South Africa: A computable general equilibrium analysis." South African Journal of Economic and Management Sciences 7, no. 3 (2004): 521–31. http://dx.doi.org/10.4102/sajems.v7i3.1362.

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Zero-rating food is considered to alleviate poverty of poor households who spend the largest proportion of their income on food. However, this will result in a loss of revenue for government. A Computable General Equilibrium (CGE) model is used to analyze the combined effects on zero-rating food and using alternative revenue sources to compensate for the loss in revenue. To prohibit excessively high increases in the statutory VAT rates of business and financial services, increasing direct taxes or increasing VAT to 16 per cent, is investigated. Increasing direct taxes is the most successful op
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42

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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43

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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44

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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45

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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46

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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47

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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48

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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49

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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50

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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