SciELO - Scientific Electronic Library Online

 
vol.7 issue1The impact of climate change on food security in vulnerable rural zones in the Peruvian AndesDesign and development of a Hellmann-type semiautomatic pluviograph author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista mexicana de ciencias agrícolas

Print version ISSN 2007-0934

Rev. Mex. Cienc. Agríc vol.7 n.1 Texcoco Jan./Feb. 2016

 

Articles

2010 migration intensity index vs. development variables in Mexico

Eliseo Alfredo Mestre-Haro1 

Silvia Xóchitl Almeraya-Quintero1  § 

Lenin G. Guajardo-Hernández1 

Dora María Sangerman-Jarquín2 

1Colegio de Postgraduados. Carretera México-Texcoco, km 36.5 Montecillo, Estado de México. Tel: (595)9520200. (eliseo.mestre@colpos.mx; glenin@colpos.mx).

2Campo Experimental Valle de México-INIFAP. Carretera Los Reyes-Lechería, km 18.5. A. P. 10. C. P. 56230. Chapingo, Texcoco, Estado de México. Tel: 01 800 088 22 22 Ext. 85353. (sangerman.dora@inifap.gob.mx).


Abstract

Migration is a phenomenon suffered by many countries, among which Mexico is not the exception. This is evident in the more vulnerable zones where inhabitants strive to improve their life conditions and to gain access to better goods and services. The aim of this investigation was to analyze the migration intensity index (MII), marginalization index (MI), human development index (HDI), and rurality index, with the objective of knowing the influence that marginalization has as a factor that prompts people to migrate and leave their municipalities; in this sense, the municipality was used as an observation unit. A cluster analysis was done using the indexes indicated above in 2 411 municipalities in Mexico, defining 15 groups with this tool. The results indicate that: a) 8% of the municipalities with a very high MII have 2.5% of homes with remittance; b) 9% of the municipalities with a low MII considered urban-metropolitan areas represent 60% of homes with remittance; and, c) 82 municipalities with a high MI considered dispersed rural communities have homes that receive remittance. It can be concluded that it is necessary to enforce public policies that allow for the establishment of programs where remittance is capitalized on for the more marginalized municipalities.

Keywords: development; marginalization; migration

Resumen

La migración es un fenómeno que diversos países sufren, México no es la excepción, acentuándose principalmente en zonas más vulnerables, así sus habitantes buscan migrar para mejorar sus condiciones de vida, tratando de acceder a mejores bienes y servicios. El objetivo de esta investigación fue analizar los índices de intensidad migratoria (IIM); índice de marginación (IM); índice de desarrollo humano (IDH); e Índice de ruralidad, con el fin conocer la influencia de la marginación como factor que obligue a las personas a migrar y salir de su municipio, en este sentido se utilizó como unidad de observación el municipio. Se realizó un análisis de conglomerados utilizando los índices señalados en 2 411 municipios de México, con esta herramienta se definieron 15 grupos. Los resultados señalan que: a) 8% de los municipios con IIM muy alto solo tiene 2.5% viviendas que reciben remesas; b) 9% de los municipios con IIM bajo considerados como urbano metropolitano representa 60% viviendas que reciben remesas; c) 82 municipios tienen un IM Alto, considerados como rural disperso y tienen viviendas que reciben remesas. Se concluye que es necesario implementar políticas públicas que permitan establecer programas, donde capitalicen las remesas en los municipios más marginados.

Palabras clave: desarrollo; marginación; migración

Introduction

Migration is a constant, continuous and dynamic phenomenon that has been present throughout history. Human migrations have been important factors in the consolidation of ethnic groups, serving as an expansion instrument for commerce, conquests and dominations (Alba, 2010). At the end of the 19th century, migration was associated with lineal processes that characterized poor countries. People who migrate from one place to another justify their reasons in many different factors and causes that are the consequences of existing situations, both in the zones of origin and in the areas of attraction (Chimanikire, 2005). Social phenomena such as poverty, unemployment and opportunity inequality act together as factors that prompt people to search other places for better life conditions.

The migratory process comprises internal displacements and, in particular, international movements. The distances and frontiers are shortened and reduced due to economic, political and global phenomena; these displacements can have negative or positive effects on the people that migrate to different parts of the world.

International migration has been the focus of many researchers that address origin theories, displacements, causes and their effects (Wallersteiteirn, 1985; Wallerstein, 1987; Durand, 2002; Taylor, 2002; Arango, 2003; Massey, 2003), as well as the economic impact of remittances (Moctezuma, 2010). Since migration plays an important role in the activities of organizations related to development, it has also been the focus of those entities that are involved in the decision making for the good of society.

International migration is also presented from a capitalist economic model perspective. In the transfer of people from a developing country to a developed nation, the increase in earnings prevails over the search for opportunities and employment for migrants in the cheap labor trade; so these circumstances are accepted in order to improve financial situations (Jacobo, 2010; Yúnez, 2010). Thus, international migration is justified by factors of attraction, migrant networks that import labor, migration policies, as well as the effects of remittances. Therefore, the increase in migration is a reality of the structural changes of the state, which entails social, political and cultural change.

Worldwide, migratory processes comprise an increasing number of migrants in the past few decades. It is estimated that from the world’s population there are around 175 million migrants, 14 million refugees, more than a million people requesting refuge and around 25 million internally displaced people (World Migration Report, 2005).

According to the Consejo Nacional de Población (CONAPO, 2011), this increase is reflected by movements to different developed countries, especially European countries, with the exception of the United States which is the country that attracts the most migrants. In 2010, the number of migrants that the United States received increased to 13% of its total population (Table 1).

Table 1. Total population and migrants regarding the main countries that receive migration, 2005 and 2010. 

País Población total (miles) Inmigrantes (miles) Inmigrantes como porcentaje de la población total Distribución porcentual
2005 2010 2005 2010 2005 2010 2005 2010
Total 6 464 750 6 895 889 190 634 213 944 2.9 3.1 100 100
Subtotal 2 212 499 2 386 623 129 727 143 741 5.9 6 68.1 67.2
EE.UU 298 213 310 384 38 355 42 813 12.9 13.8 20.1 20
Rusia 143 202 142 958 12 080 12 270 8.4 8.6 6.3 5.7
Alemania 82 689 82 302 10 144 10 758 12.3 13.1 5.3 5
Arabia saudita 24 573 27 448 6 361 7 289 25.9 26.6 3.3 3.4
Canadá 32 268 34 017 6 106 7 202 18.9 21.2 3.2 3.4
Francia 60 496 62 787 6 471 6 685 10.7 10.6 3.4 3.1
Gran Bretaña 59 668 62 036 5 408 6 452 9.1 10.4 2.8 3
España 43 064 46 077 4 790 6 378 11.1 13.8 2.5 3
India 1 103 371 1 224 614 5 700 5 436 5 0.4 3 2.5
Ucrania 46 481 45 448 6 833 5 258 14.7 11.6 3.6 2.5
Australia 20 155 22 268 4 097 4 711 20.3 21.2 2.1 2.2
Italia 58 093 60 551 2 519 4 463 4.3 7.4 1.3 2.1
Pakistán 157 935 173 593 3 254 4 234 2.1 2.4 1.7 2
Emiratos Árabes Unidos 4 496 7 512 3 212 3 293 71.4 43.8 1.7 1.5
Kasajastán 14 825 16 026 2 502 3 079 16.9 19.2 1.3 1.4
Jordania 5 703 6 187 2 225 2 973 39 48.1 1.2 1.4
Israel 6 725 7 418 2 661 2 940 39.6 39.6 1.4 1.4
China (Hong Kong) 7 041 7 053 2 999 2 742 42.6 38.9 1.6 1.3
Costa de Marfil 18 154 19 738 2 371 2 407 13.1 12.2 1.2 1.1
Malasia 25 347 28 401 1 639 2 358 6.5 8.3 0.9 1.1
Otros países 3 844 216 4 509 266 60 907 70 203 1.6 1.6 31.9 32.8

Migration is a phenomenon suffered by many countries. In Mexico it is particularly evident in the most vulnerable zones, where inhabitants look for better life conditions. In 2010 according to a survey carried by the United States Census (2011), it was estimated that 31.8 millions of Hispanics of Mexican origin lived in the United States; as such, Mexico is positioned as the country with the largest number of migrants. In 2012, migrants represented almost 2/3 of the Hispanic population (64%) and represented 11% of the total population of the United States (Pew Research Center, 2013).

In this regard, the context that justifies these migratory flows can be seen since the end of the 19th century until present day. Four moments that characterize the migration phenomenon can be identified in Latin America: the first is linked to transoceanic migrations; the second to internal migrations between 1930 and 1940; the third to cross-border migration, consequence of economic, political and social conflicts; and the fourth as a product of globalization (Aruj, 2008). The last two stages characterize the situation that forces the flow of migrants from Mexico to the United States.

The United States ranks in first place as host of migrants and its history is marked by constant flows in regards to the migratory movement of Mexicans. This case is quite particular as there has been no other migration flow that has lasted more than one hundred years and with such a large quantity as the one coming from Mexico. This phenomenon can be identified by three factors: history, massiveness and vicinity (Durand, 2000).

The origin of Mexican migration to the United States can be defined in several stages. Durand (2003) classifies them in five periods during the 20th century, with a duration of approximately 22 years. The “attachment” stage (1900-1922); “deportation” stage (1921-1939), “bracero” stage (1942- 1964); “undocumented” stage (1965-1986); and the “Los Rodinos” stage, the last phase initiating in 1987. This author states that these processes are due to a pendulum movement marked by North American migration policy in accordance to political and social context.

Within this context, the objective of this study was to know the impact that migration has on the life quality and well-being of migrants in the municipalities of origin. It was asked if the social and economic problems of the people force them to migrate and cross the northern border in search of better life conditions.

Methodology

In order to verify the hypothesis, a cluster analysis was done using four variables: a) migration intensity index (MII), the index published by the Consejo Nacional de Población (CONAPO, 2010) was used as summarized in Table 2; b) marginalization index, which lists the shortcomings of the population (CONAPO, 2010) as summarized in Table 3; c) human development index, with health, education and income variables which measure the combination of abilities and freedom of the people to choose between alternative living standards, as calculated by the United Nations Development Programme (UNDP, 2010) and summarized in Table 4; and, d) rural level according to the Organización para la Cooperación y Desarrollo Económico (OCDE, 2005) as summarized in Table 5.

Table 2. Stratification of the Migration Intensity Index to the United States at a municipal level, 2010. 

Grado de intensidad migratoria Núm. entidades municipales Límites de intervalo para el IIM
Inferior Superior
Total 2 456
Nulo 11 [-1.16443 , -1.16443]
Muy bajo 603 [-1.16079 , -0.78825]
Bajo 719 [-0.78825 , -0.16734]
Medio 514 [-0.16734 , 0.57774]
Alto 431 [0.57774 , 1.69537]
Muy alto 178 [1.69537 , 5.04825]

Table 3. Stratification of the Marginalization Index at a municipal level, 2010. 

Grado de marginación Núm. entidades municipales Límites del IM
Inferior Superior
Muy bajo 262 [-2.34181 , -1.24863]
Bajo 401 [-1.24863 , -0.70217]
Medio 944 [-0.70217 , 0.39277]
Alto 408 [0.39277 , 0.93846]
Muy alto 441 [0.93846 , 4.36321]

Table 4. Stratification of the Human Development Index at a municipal level, 2010. 

Grado de desarrollo humano Límites de IDH
Inferior Superior
Bajo [0.361848 - 0.590096]
Medio [0.590097 - 0.644855]
Alto [0.644856 - 0.696213]
Muy alto [0.696214 - 0.917404]

Table 5. Rural index, 2005. 

Tipo de ruralidad Grado de ruralidad
Rural disperso 1
Rural semiurbano 2
Urbano intermedio 3
Urbano metropolitano 4

The information of each variable was considered for 2 411 municipalities of the Mexican Republic. The study analysis unit was the municipality in order to understand migration on a territory level.

With the aforementioned variables, the multivariate cluster technique was used as it allows to perform several measurements on the municipalities in order to characterize the territorial development, and with this to also analyze the relation that the municipalities have with migration.

The cluster analysis technique was done in order to search certain characteristics and behavior patterns regarding migration. 2 411 municipalities were grouped in clusters or similar groups, for each municipality, the two variables were included. According to Rencher (2002), the matrix of information is represented by:

Y=Y'1Y'2...Y'n=Y1    Y2    Yp

Where: 'i y is a row (observation vector of each municipality) with i= 1, 2… 2411; and ( ) ' j y is a column of variables with j= migration intensity, marginalization, human development with education, health, income variables and rural level.

For the realization of this work, Ward’s Hierarchical Method was used. This method is an algorithm that allows finding good groups within the data. In this case, the municipalities are the object of analysis and were analyzed using the software package Statistical Analysis System (SAS).

Ward’s technique is a cluster type; in each step, an observation or cluster of observations was fused with another cluster. It starts with n groups (individual municipalities) and is finalized with a simple cluster that contains the set of complete data or groups of municipalities.

With the agglomerative process, the close groups are fused together, using a similarity or dissimilarity measure between the groups. For this, the incremental sum of squares method (Ward’s technique) was used, which uses the quadratic distances of intra-conglomerates and between groups.

Results and discussions

Migration distribution: main results

Based on the MII, MI, and HDI variables of the 2 411 municipalities in Mexico, 15 groups (Table 6) were formed, obtained through the cluster analysis. It can be observed that 11 groups (1,2,3,4,5,6,7,8,9,10,11) comprise 77% of the municipalities and they are characterized for having medium, high and very high marginalization (Figure 1). More than half of the municipalities of the country have different types of shortcomings. In regards to the MII, 7 groups (1, 2, 3, 4, 5, 8, 9, 11) comprise the municipalities with a medium and high migration index, which represents 54% of the total municipalities with movement and displacement outside their zones of origin. Therefore, if Mexico is the main country that sends migrants to the United States, the largest quantity corresponds to the municipalities that comprise these groups (Figure 2).

Table 6. Groups obtained from the cluster analysis. 

Grupos Municipios IIM2010 IM IDH Ruralidad
1 251 0.03 -0.49 0.67 2
2 113 0.29 0.42 0.61 1
3 281 -0.25 0.21 0.64 2
4 157 1.91 -0.33 0.65 2
5 132 -0.06 1.41 0.52 1
6 180 -0.56 -1.47 0.77 3
7 327 -0.31 -0.9 0.71 2
8 428 -0.04 0.43 0.61 2
9 177 0.09 -0.42 0.67 3
10 179 -0.44 1.48 0.55 1
11 44 2.11 0.79 0.58 1
12 42 -0.26 1.44 0.49 1
13 37 -0.73 -1.68 0.79 4
14 51 -0.59 0.29 0.65 3
15 12 -0.69 -1.29 0.74 4
Total 2411

Figure 1. Municipalities with medium, high and very high poverty (77%). 

Figure 2. Municipalities with IIM medium and high (54%). 

According to the OCDE, 60% of Mexico’s municipalities are considered semi-urban rural level, which are concentrated in five groups. The municipalities with a disperse rural index are clustered in five groups as well, and represent 21% of the total number of municipalities. In contrast, the municipalities that are characterized for having an index considered urban metropolitan represent 2% of the total number of municipalities. The rest correspond to the index considered urban intermediate.

There is a relation of the groups in regards to their indexes; when the groups have a very low MI, their MIII is also low and their human development is therefore high. Another characteristic of the groups is that they have a rural urban index, which could indicate that when the municipalities have the necessary infrastructure and allow the access of goods and services, they prevent a large percentage of people from leaving their zones of origin.

In this sense, group 8, which comprises 17.7% of the municipalities, has a MI mean of (-.04) m and the majority of the group belongs to the state of Puebla, with a lower presence in the states of Oaxaca, Yucatán and Michoacán. Group 7 agglomerates a total of 327 municipalities and this group has a MII value of (-.31); they have a low migration level as well as an MI value of (-0.90). The municipalities that comprise this group are mainly in the states of Chihuahua, Jalisco, State of Mexico, Sonora, Veracruz and Yucatán.

On the other hand, groups 6, 13 and 15 are comprised of 229 municipalities; they are characterized by the fact that they send out less migrants and have a low MI and a very high development. In these three groups, the 16 delegations of Mexico City are found as well as municipalities from the states of Sonora and Nuevo León who have similar characteristics.

According to CONAPO (2010), Mexico has been the main country that receives remittances in Latin America. This is primarily due to their characteristics and proximity. In contrast with this information, it can be observed that the two groups that send more migrants (groups 4 and 11 as seen in Figure 3) are not necessarily the ones that receive the most remittances (Table 7).

Figure 3. Groups with high IIM. 

Table 7. Migration and remittances. 

Grupos Municipios IIM 2010 Viviendas con remesas
6 180 -0.56 7 120 171
13 37 -0.73 6 825 746
15 12 -0.69 3 473 243
9 177 0.09 2 622 496
7 327 -0.31 1 674 634
14 51 -0.59 1 469 774
8 428 -0.04 1 381 477
3 281 -0.25 1 296 515
1 251 0.03 1 212 721
4 157 1.91 615 189
10 179 -0.44 590 521
5 132 -0.06 103 000
12 42 -0.26 100 264
11 44 2.11 77 311
2 113 0.29 63 547
Total 2411 28 626 609

Therefore, within these two groups, it can be observed that the municipalities in the states of Oaxaca and Zacatecas are the ones that send more migrants; however, in regards to remittances, they are positioned in the sixth and tenth places of states that receive the most money (CONAPO, 2013). These groups are also characterized by a medium and high MI; however, they still have shortcomings. In this regard, Arroyo (2003) states that smaller municipalities with high migration lack the necessary infrastructure, and the money sent from abroad does not directly help the receiving community as they have to pay for products and services from other cities and regions.

Furthermore, groups 6 and 13 (Figure 4) comprise 9% of the total number of municipalities and are characterized for having the lowest MII of all the groups, receiving the most remittances from the total number of groups analyzed. The municipalities of Jalisco, State of Mexico and Mexico City concentrate a great number of homes that receive remittances.

Figure 4. Groups that receive the most remittances. 

In the state of Jalisco, Guadalajara is the municipality with more homes that receive remittances on a national level and it has a medium MII. Nationally, it ranks in third place in regards to the entities that receive remittances (CONAPO, 2013). On the other hand, Mexico City has a very low MII and according to the Bank of Mexico (2014), it generated $1 393 1524 millions of dollars in familiar remittances. For the second trimester of 2014, it has accumulated $437 8609 millions of dollars, surpassing Oaxaca who has the most municipalities that send migrants.

Meanwhile, the State of Mexico has a medium MII and it can be observed that there are six municipalities in group 13 with a considerable number of homes that receive remittances; Naucalpan, Tlalnepantla, Atizapán de Zaragoza, Tultitlan and Nicolás Romero are the municipalities considered urban which receive the most remittances in the entire state. This further confirms that several small municipalities with very high migration do not directly help the receiving community as they do not have the necessary infrastructure.

Even if these municipalities have a low MII, the context and the conditions in which they live could prompt their inhabitants to migrate in order to fight these conditions. As indicated by Aruj (2008), the decisions of the people to migrate can be understood by looking at factors such as the lack of work alternatives and insecurity in their financial future, as well as the fact that they cannot meet basic needs.

Conclusions

The migration effect is related to the marginalization suffered by thousands of people that by not having the capacities and opportunities tend to move to other zones where their necessities are met. Thus, the migration phenomenon has an important role in decision making, both for the individuals in search of a better life as for the entities that procure better living conditions.

Mexico being the country that sends the most migrants to the United States throughout a history of more than 100 years should regard migration not as a social phenomenon, but as one with several consequences. It is therefore important that the entities of the state take notice of the migration phenomenon and try to reduce it, making decisions based on the factors that prevent the exclusion of people from goods and services and generating the means to strengthen their acquisition capabilities.

It is important that the state’s institutions prioritize those municipalities that form the groups with a high MI and a medium or low MII. Even if there is no tendency to migrate, they have the factors that prompt the movement of people and that promote the idea of migration as a solution to the marginalization conditions under which they live. The institutions should take care of the 353 municipalities that comprise these groups and that belong primarily to the states of Oaxaca, Chiapas and Veracruz.

Literatura citada

Alba, F.; Castillo, M. Á. y Verduzco, G. 2010. Los grandes problemas de México. Migraciones internacionales. 1a Edición. México, D. F. Colegio de México. 578 p. [ Links ]

Albarrán, M. L.; Jacobo, M. and Brito, R. 2010. La migración: una institución enseñanza e investigación en psicología http://redalyc.org/articulo.oa?id=29213133011. [ Links ]

Arango, J. 2003. La explicación teórica de las migraciones: luz y sombra migración y desarrollo. http://www.redalyc.org/articulo.oa?id=66000102. [ Links ]

Aruj, R. S. 2008. Causas, consecuencias, efectos e impacto de las migraciones en Latinoamérica Papeles de Población. http://www.redalyc.org/articulo.oa?id=11205505). [ Links ]

Arroyo, A. J. and Corvera, V. I. 2003 Actividad económica, migración a Estados Unidos y remesas en el occidente de México. http://www.redalyc.org/pdf/151/15102102.pdf). [ Links ]

Banco de México. 2014. Remesas familiares. http://www.banxico.org.mx/sieinternet/consultardirectoriointernetaction.do?accion=consultarcuadro&idcuadro=ce81&sector=1&locale=es). [ Links ]

Canales, A. 2004. Las remesas de los migrantes: ¿fondos para el ahorro o el ingreso salariales? In: Zarate, G. (Coord.). Remesas de los mexicanos y centros americanos en Estados Unidos. Perspectivas, México. Miguel Ángel Porrúa (Ed.). 142-172 pp. [ Links ]

Chimanikire, D. P. 2005. African migration: causes, consequences and future prospects and policy options. Paper presented at WIDER. United Nations University. Conference on, poverty, international migration, and Asylum. Helsinki, Finland. 6-8 pp. [ Links ]

CONAPO (Consejo Nacional de Población). 2011. Nuevas estimaciones de las series sobre migración internacional. http://www.conapo.gob.mx/es/CONAPO/Migracion_Mundial. [ Links ]

CONAPO (Consejo Nacional de Población). 2010. Índices de intensidad migratoria México-Estados Unidos. http://www.conapo.gob.mx/swb/conapo/indices_de_intensidad_migratoria_mexico-estados_unidos_2010 ). [ Links ]

CONAPO (Consejo Nacional de Población). 2010. Índices de marginación por intensidad federativa y municipios 2010. http://www.conapo.gob.mx/es/CONAPO/Indices_de_marginacion_2010_por_entidad_federativa_y_municipio). [ Links ]

Durand, J. 2000. Tres premisas para entender y explicar la migración México- Estados Unidos relaciones. Estudios de historia y sociedad. http://www.redalyc.org/articulo.oa?id=13708302). [ Links ]

Durand, J. and Douglas, S. M. 2003. Clandestinos migración México-Estados Unidos en los albores del siglo XXI. Colección América Latina y el Nuevo Orden Mundial. México. Miguel Ángel Porrúa (Ed). 11-60 pp. [ Links ]

Moctezuma, M. 2005. La cultura migrante y el simbolismo de las remesas. Reflexiones a partir de la experiencia de Zacatecas. In: Delgado, R. y Knerr, B. (Comps.) contribuciones al análisis de la migración internacional y el desarrollo regional en México. Miguel Ángel Porrúa, México. 96 p. [ Links ]

OIM (Organización Internacional para las Migraciones). 2005. World migration report. http://www.cestim.it/argomenti/33altri_paesi/world_migration_report_oim/wmr_2005.pdf). [ Links ]

PNUD (Programa de las Naciones Unidas para el Desarrollo). 2010. Índice de Desarrollo Humano Municipal en México: Nueva metodología. http://www.undp.org.mx/spip.php?page=area_interior&id_rubrique=123&id_parent=119. [ Links ]

Pew Research Center. 2013. Ademographic portrait of Mexican- origin hispanics in the United States, (http://www.pewhispanic.org/2013/05/01/a-demographic-portrait-of-mexican-origin-hispanics-in-the-united-states/). [ Links ]

Rencher, A. C. 2002. Methods of multivariate analysis. 2nd. Ed. Reino Unido. Brigham Young University. 68 p. [ Links ]

U. S. 2010. Census Bureau. The hispanic population. http://www.census.gov/prod/cen2010/briefs/c2010br-04.pdf. [ Links ]

Wallerstein, I. 1987. World-system analysis. In A. Giddens and J. Turner (eds) Social Theory Today. Standford: Standford University Press. 309- 324 pp. [ Links ]

Yúnez, N. A. y Mora-Rivera, J. J. 2010. Emigración rural internacional y desarrollo, los grandes problemas de México. Migraciones internacionales 1a (Ed.). Colegio de México. México D. F. 135-164 pp. [ Links ]

Received: July 2015; Accepted: January 2016

Creative Commons License Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons