International Journal of Social Science & Economic Research
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Title:
ECONOMIC ANALYSIS OF STEEL CONSUMPTION IN MEXICO

Authors:
Eugenio Guzman Soria, Maria Teresa de la Garza Carranza, Samuel Rebollar Rebollar, Juvencio Hernandez Martinez

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1Eugenio Guzman Soria, 2Maria Teresa de la Garza Carranza, 3Samuel Rebollar Rebollar, 4 Juvencio Hernandez Martinez
1,2Departamento de Ciencias Economico Administrativas, Instituto Tecnologico de Celaya-Campus II, Av. Garcia Cubas 1200, Esquina Ignacio Borunda, Celaya, Guanajuato, Mexico. 38010.
3Facultad de Medicina Veterinaria y Zootecnia, Centro Universitario UAEM Temascaltepec-Universidad Autonoma del Estado de Mexico, Barrio de Santiago s/n, Temascaltepec, Estado de Mexico, Mexico. 51300.
4Programa de la Licenciatura en Economia, Centro Universitario UAEM Texcoco-Universidad Autonoma del Estado de Mexico, Av. Jardin Zumpango s/n, Fracc. El Tejocote Texcoco, Estado de Mexico, Mexico. 56259.

MLA 8
Soria, Eugenio G., et al. "ECONOMIC ANALYSIS OF STEEL CONSUMPTION IN MEXICO." Int. j. of Social Science and Economic Research, vol. 3, no. 2, Feb. 2018, pp. 630-643, ijsser.org/more2018.php?id=44. Accessed 2018.
APA
Soria, E. G., Carranza, M., Rebollar, S., & Martinez, J. (2018, February). ECONOMIC ANALYSIS OF STEEL CONSUMPTION IN MEXICO. Int. j. of Social Science and Economic Research, 3(2), 630-643. Retrieved from ijsser.org/more2018.php?id=44
Chicago
Soria, Eugenio G., Maria Teresa de la Garza Carranza, Samuel Rebollar Rebollar, and Juvencio Hernandez Martinez. "ECONOMIC ANALYSIS OF STEEL CONSUMPTION IN MEXICO." Int. j. of Social Science and Economic Research 3, no. 2 (February 2018), 630-643. Accessed , 2018. ijsser.org/more2018.php?id=44.

References
[1]. Aravena, C. and Hofman, A. (2006). Estimation of steel demand for Latin America. Seminar econometric models-Estimators of steel demand. CEPAL (ONU-Economic Commission for Latin America and the Caribbean). Santiago of Chile, October 27, 2006. Recovered from: http://www.cepal.org/cgibin/getProd.asp?xml=/deype/noticias/noticias/1/27061/P27061.xml&xsl=/deype/tpl/p1f.xsl&bas e=/deype/tpl/top-bottom.xslt (Accessed November 12, 2016).
[2]. CANACERO (Camara Nacional de la Industria del Hierro y del Acero/National Chamber of the Iron and Steel Industry). (2008). Development of a strategic action plan for the steel sector in Mexico. Recovered from: http://www.protlcuem.gob.mx/swb/work/models/economia/Resource/1028/.../Canacero.ppt (Accessed January 22, 2017).
[3]. CANACERO (Camara Nacional de la Industria del Hierro y del Acero/National Chamber of the Iron and Steel Industry). (Several years). National and international prices of steel and its inputs. Steel in numbers. Mexico City. Mexico.
[4]. Coeymans, J. E. (2006). Steel consumption, investment and product in Latin America. An analysis of cointegration and short-term dynamics. Seminar econometric models-Estimators of steel demand. ECLAC (UN-Economic Commission for Latin America and the Caribbean). Santiago de Chile, October 27, 2006. Retrieved from: http://www.cepal.org/cgibin/getProd.asp?xml=/deype/noticias/noticias/1/27061/P27061.xml&xsl=/deype /tpl/p1f.xsl&base=/deype/tpl/top-bottom.xslt (Accessed November 19, 2016).
[5]. Crompton, P. (2015). Explaining variation in Steel consumption in the OECD. Resources Policy, 45: 239-246.
[6]. Gujarati, Damodar N.; Dawn C. Porter. (2009). Econometrics. 5th edition. Mexico: McGraw-Hill Interamerican. Mexico. 921 p.
[7]. Giuliodori, D.; Rodriguez A. (2015). Analysis of the stainless Steel market in the EU, China and US using co-integration and VECM. Resources Policy, 44:12-24.
[8]. INEGI (Instituto Nacional de Estadistica y Geografia/National Institute of Statistic and Geography). (2017a). Economy-Economic sectors-Mining-Mining and metallurgical production. Recovered from: http://www3.inegi.org.mx/sistemas/temas/default.aspx?s=est&c=23824 (Accessed January 20, 2017).
[9]. INEGI (Instituto Nacional de Estadistica y Geografia/National Institute of Statistic and Geography). (2017b). Population, households and homes. Recovered from: http://www3.inegi.org.mx/sistemas/temas/default.aspx?s=est&c=17484 (Accessed February 10, 2017).
[10]. INEGI-BIE (Instituto Nacional de Estadistica y Geografia/National Institute of Statistic and Geography- Banco de Informacion Economica/Economic Information Bank). (2017a). National accounts and international indicators. Recovered from: Recuperado de: http://www.inegi.org.mx/sistemas/bie/ (Accessed February 15, 2017).
[11]. INEGI-BIE (Instituto Nacional de Estadistica y Geografia/National Institute of Statistic and Geography- Banco de Informacion Economica/Economic Information Bank). (2017b). Prices and Inflation. Recovered from: http://www.inegi.org.mx/sistemas/bie/ (Accessed February 17, 2017).
[12]. Labson, B. S. (1997). Changing patterns of trade in the world iron ore and steel market: An econometric analysis. Journal of Policy Modeling, 19(3): 237-251.
[13]. Labson, B. S.; Gooday, P.; Manson, A. (1995). China's Emerging Steel Industry and its Impact on the World Iron Ore and Steel Market. Australian Bureau of Agricultural and Resource Economics [ABARE-Economics]. Research Report 95.4, Canberra, Australia. 57 p.
[14]. Malanichev, A.; Vorobyev, P. (2011). Forecast of global steel prices. Studies on Russian Economic Development, 22: 304-311.
[15]. Priovolos, T. (1987). An econometrics model of the iron ore industry. World Bank Staff Commodity Working Papers. The World Bank. Washington, D.C. 90 p.
[16]. Samuelson, P. A. and Nordhaus, W. D. (2010). Microeconomics with applications to Latin America. 19th edition. McGraw-Hill. Mexico. 403 p.
[17]. SAS Institute Inc. (2002). The SAS System for Windows 9.0. Cary, N.C. USA.
[18]. SE (Secretaria de Economia/ Ministry of Economy). (2012). Monograph of the steel sector of Mexico, 2011. General Directorate of Heavy Industries and High Technology. Directorate of Metalworking Industry. Recovered from: http://www.2006- 2012.economia.gob.mx/files/Monografia_Sector_Acero.pdf (Accessed May 15, 2016).
[19]. Vergara, J. R. (2006). Econometric model estimator of domestic demand to be made in Mexico. Seminar econometric models. Estimators of steel demand. Economic Commission for Latin America and the Caribbean (ECLAC) -Instituto Latinoamericano del Fierro y el Acero (ILAFA). Retrieved from: http://www.cepal.org/cgibin/getProd.asp?xml=/deype/noticias/noticias/1/27061/P27061.xml&xsl=/deype/tpl/p1f.xsl&bas e=/deype/ tpl / top-bottom.xslt (Accessed November 19, 2016).
[20]. Warell, L. (2014). Trends and developments in long-term steel demand - The intensity-of-use hypothesis revisited. Resources Policy, 39: 134-143.
[21]. Wooldridge, J. M. (2009). Introduction to econometrics: A modern approach. 4th edition. CENGAGE Learning. Mexico. 865 p.
[22]. WSA (World Steel Association). (2017). Steel Statistical Yearbook 2017. Recovered from: https://www.worldsteel.org/steel-by-topic/statistics/steel-statistical-yearbook-.html (Accessed December 26, 2017).
[23]. WSA (World Steel Association). (Several years). Steel Statistical Yearbook, 1980-2017. Recovered from: https://www.worldsteel.org/steel-by-topic/statistics/steel-statistical-yearbook.html (Accessed December 25, 2017).
[24]. Xuan, Y.; Yue, Q. (2016). Forecast of steel demand and the availability of depreciated steel scrap in China. Resources, Conservation and Recycling, 109: 1-12.
[25]. Yin, X.; Chen, W. (2013). Trends and development of Steel demand in China: A bottom-up analysis. Resources Policy 38: 407-415.

Abstract:
In 2016, the apparent world consumption of steel was more than 1,630 million tons. World exports of steel were concentrated by China and Japan with 22.8%, Mexico imported 21% of those made by North America; what impacted on the internal dynamics of its steel consumption. To determine the effect of the change in the main factors that explain the consumption of Mexican steel; As well as quantifying the level of impact of the international price of this commodity on the steel wholesale price in Mexico, a model of simultaneous equations was estimated with annual information from 1980 to 2016; integrated by 3 regression equations. The results indicate that in the short term the steel consumption in Mexico responds inelastically (- 0.2354%) before changes of 1% in the own price. The changes in the price of the factors that most affect consumption are the urbanization process, the national income per capita and the price of housing with price-cross elasticities of 0.5518, 0.4720 and 0.3596. The effect of the international price of steel and the cost of transportation in Mexico, affect the wholesale price at a level of 0.0513 and 1.0521%, for each unit percentage change in the first ones.