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Agricultura, sociedad y desarrollo

versión impresa ISSN 1870-5472

agric. soc. desarro vol.14 no.1 Texcoco ene./mar. 2017

 

Articles

Suppliers and destination industries of maize in México

Miguel Á. Ortiz-Rosales1  * 

Orsohe Ramírez-Abarca2 

1 Colegio de Postgraduados. Km. 36.5 Carretera México-Texcoco, Montecillo, México. 56230. (ortizma@colpos.mx).

2 Universidad Autónoma del Estado de México. Km 8.5 carretera Texcoco-Los Reyes la Paz. Av. Jardín Zumpango S/N Fraccionamiento el Tejocote, Estado de México. México. (orsohe@yahoo.com).


Abstract:

The objective of this study was to analyze the offer, the demand and the destination industries of maize, from the perspective of the relationships of purchase and sale established by storehouses in México. Social Network Analysis is carried out, for which Microsoft Excel was used for the construction of matrices, and Ucinet 6 - NetDraw 2.097 for the graphic analysis and representation. Results show that in the supply of maize to storehouses individual producers predominate as suppliers, the main buyers are domestic companies, and the main destinations are the industries of dough and tortilla and of balanced meals.

Key words: grain storehouses; maize commercialization; social networks

Resumen:

El objetivo de este trabajo fue analizar la oferta, la demanda y las industrias de destino del maíz, desde la perspectiva de las relaciones de compra y venta que establecen los almacenes en México. Se procede con Análisis de Redes Sociales (ARS), para lo cual se utiliza Microsoft Excel para la construcción de matrices, y Ucinet 6 - NetDraw 2.097 para el análisis y representación gráfica. Los resultados muestran que en el abasto de maíz a los almacenes predominan los productores individuales como proveedores, los principales compradores son empresas nacionales y los principales destinos son las industrias de la masa y la tortilla y de alimentos balanceados.

Palabras clave: almacenes de granos; comercialización de maíz; redes sociales

Introduction

The preoccupation over food sufficiency for the population dates back to 1798, when Robert Malthus exposed for the first time that while food production increased arithmetically, the population grew exponentially (Malthus, 1978). Currently, guaranteeing that a population has sufficient food is explained with the concept of food security, which combines production, availability, physical and economic access, innocuousness, and cultural preferences (FAO, 2011).

In México, the main source of energy in the diet is maize since it represents 32 % of the energetic content contributed by the rural basic basket and 16 % in the urban sector (CONEVAL, 2014). Maize cultivation covers 47 % of the agricultural surface harvested and 36 % of the value of agricultural production (SIACON, 2012).

The annual per capita consumption of maize in the country is 120.5 kg per year, compared to the global average of 17 kg (FAOSTAT, 2014). This figure explains that in México the population consumes more dishes derived from maize than in any other part of the world, comparing in this aspect only to Guatemala. It has been said that we are “the women and men of maize” (Brambila, 2011).

To the traditional uses of white maize for the human diet, primarily with the elaboration of tortillas, and yellow maize for animal consumption, nowadays a large diversity of products are added that can be obtained when processing maize at the industrial level, implying a diversity of possibilities in the final destination of the grain.

Balanced meals are elaborated from the grain’s protein and fibers; dextrose is used for snacks, bread-making, beverages, serums, lysine, citric acid and antibiotics; ethanol for industrial alcohols, alcoholic beverages and fuels; high-fructose syrup is used as sugar substitute in soft drinks, juices, marmalades, sweets, desserts, wines and sweeteners; oil is used for cooking and in baby food; starch to make bread, atole, children’s food, beer, corrugated cardboard and paper; glucose to make sweets, candies and gum; maltodextrines to make powdered milk, cold meats, powdered chocolate, and powdered foods; as coloring agent it is used in soft drinks, beer, liquors, cold meats and bread-making; and sorbitol is used in toothpaste and confectionary (Secretaría de Economía, 2012). According to the Service of Agrifood and Fishing Information (Servicio de Información Agroalimentaria y Pesquera, SIAP), in 2013 the white maize offer was 23.9 million tons, of which 17 % corresponded to the initial stock; 81 % to national production; and only 2 % to imports.

In terms of destinations, during 2009-2013, in average 49.5 % of the white maize offer is for human consumption; 22.2 % for auto-consumption; 15.9 % surplus; 7.3 % for livestock use; and the remaining 5 % includes waste, exports and seed for sowing.

Likewise, 11.7 million tons of yellow maize were offered, but in this case 60 % corresponded to imports, 22 % to initial stock and only 18 % to national production. The main destinations of yellow maize are: 54.5 % for livestock use, 19.9 % in the starch industry, 19.4 % represent surplus, and 6.2 % is made up of human consumption, auto-consumption and waste.

Thus, maize is the most important crop in the country from several perspectives; the offer reflects a large number of producers and other social actors who depend on its production, the demand evidences the role of this grain in the country’s food security, and the alternative uses show the possibilities at the industrial level.

However, the importance of maize for our country does not necessarily reflect possibilities of growth and wellbeing for everyone devoted to this crop. Currently it is known that the sufficient production of basic grains is not necessarily the main factor to achieve food security, since the availability for consumption depends to a large degree on commercialization, distribution and alternative uses; however, only the largest companies, dynamic and innovating, and with alliances established, can compete and remain in the market (Rendón and Morales, 2008).

Instead of measuring the efficiency of producers basing it only on their grain production, a strategy to recognize that maize is a crop with which a large amount of products are generated that are sold in many markets would offer better backing to the agrarian and sustenance strategies that producers already practice, with the aim of increasing their utilities per hectare to the maximum level (Keleman and Hellin, 2013).

Within this context, in this study the methodology of social networks is used to analyze the offer and the demand of maize from the perspective of the relationships of purchase and sale that maize storehouses establish in México.

Through social networks it is possible to evaluate the performance of businesses, public offices, organizations and other actors or groups of actors; this allows analyzing not only the producers interviewed, but also those who are related to them. From a network analysis a perspective of the group analyzed is obtained, and of the group of social actors in the environment (Rendón et al., 2007).

The offer available being sufficient to supply the market depends on the grain suppliers to the storehouses; in turn, the buyers of stored maize have in their hands the destination of the grain’s use, which directly influences the supply, the food security and the possibilities for innovation at the industrial level.

Methodology

The information used in this study was provided by the INFOMEX Service of the Federal Government through the public information request number 0833100006413.

The database includes 442 storehouses located in 25 states of the Mexican Republic. The states not included are: Baja California, Baja California Sur, Ciudad de México, Estado de México, Morelos, Quintana Roo and Tabasco; however, suppliers and buyers can be found in these states.

The methodology used was the social network analysis, which refers to a group of individuals who, in groups or individually, are related to others with a specific aim, characterized by the existence of information flows (Velázquez and Aguilar, 2005).

This type of analysis allows representing, in a simplified way, the complexity and the diversity of the relationships between actors, such as: interdependence of the actors, reciprocity of the relationships, central position of an actor, or the existence of strong bonds and weak bonds (Mercanti- Guérin, 2010).

According to Hanneman (2001), the first element to obtain a network is nodes or actors, defined as people or groups of people who revolve around a common objective.

Node or actor: ni (1)

The second element are bonds or relationships, understood as the bonds that there are between two or more nodes. When it is about relationships that the actors say they have with the rest, we speak of out-degrees.

Out-degrees: do(ni) (2)

In turn, when it is about relationships referred to one actor by other actors, we speak of in-degrees.

In-degrees: dI(ni) (3)

The number of lines that join the nodes express the degree of centrality of the actor.

Centrality degree: CD =d(ni) (4)

In particular, a node with a high in-degree is called degree prestige.

Degree prestige: PD(ni)=dI(ni) (5)

The total number of nodes in the network defines the network size.

Network size: ni (6)

Likewise, the percentage of relationships that exist compared to the possible ones is defined as network density.

Network density =d(ni)Max d(ni) (7)

The density varies in function of the relational capacities of actors, of the prevailing socioeconomic environment, of the size of the network, among others (Muñoz et al., 2004).

Therefore, in the network methodology the actors are described through their relationships, not their attributes, and the relationships in of themselves are as fundamental as the actors that are connected through them (Hanneman, 2001). When a database is defined from which the attributes of the actors will be analyzed, a matrix is generally defined in which the lines tend to represent the population of study and the columns each one of the attributes. In the case of the network methodology, in order to express the relationships between actors matrices are defined in which the out-nodes are presented as lines and the in-nodes as columns.

In this study the in-nodes are the main social actors referred by storehouses, whether as suppliers of the maize stored, as buyers of it, or as final destination industries of the grain.

The procedure to express those relationships stemmed from the definition of three principal matrices in the Excel software, which correspond to the relationships between storehouses and suppliers, buyers, and destination industries of the stored grain, where the storehouses are presented as lines and the rest of the actors as columns.

The variables used were: 1) type of supplier (individual producers, groups of producers, national and international companies, and storehouse partners), 2) type of buyer (physical person, groups of producers, national and international companies, exports and storehouse partners); and 3) destinations of the grain (dough and tortilla industry, balanced meal industry, sale to another storehouse, flour industry, transformation in the same enterprise, oil industry).

Each one of these matrices was imported to the Ucinet software, with which the matrices are defined in this software and the density indicator was obtained (density) through the instruction: Network >> Cohesion >> Density >> (new) Density Overall.

Later, each one of the Ucinet matrices was opened with the NetDraw software to represent the relationships graphically, obtain the indicators of in-degree, and out-degree, and to continue with the analysis.

The matrices of relationships were translated into graphic diagrams, where the storehouses were represented with dots, the types of suppliers, buyers or destinations with rhombuses, and the existence of bonds between storehouses and destinations with lines. In all the cases the structural type “spring embedding” was used, with 100 iterations and geodesic distances of 10 points between components.

The graphic representation was based on the degree centrality, which shows the capacity of each member to establish relationships with other actors, thus reflecting their structural importance and dependence on the rest of the actors (Freeman, 1979; Snijders, 1981; Wasserman and Faust, 1994).

In order to have the size of each node in the networks correspond to its degree indicator, the instruction used was NetDraw: Analysis >> Centrality Measures >> Set Node Size by Degree.

With the aim of considering the heterogeneity and diversity of maize stocking centers in this analysis, the typology of maize storehouses in México elaborated by Ortiz et al. (2015) was used.

In this classification it was shown, through multivariate statistical methods, that the maize storage system in México is heterogeneous, given that there is a range from highly technified silos with a great capacity for purchasing to stocking centers that basically have a scale and have the need to store the product on the ground and cover it with tarpaulin to prevent it from being deteriorated in the rainy season.

The variables considered in the elaboration of this typology were the principal construction material and the capacity installed, as well as indicators of equipment to manage the grain, the laboratory, transportation and administrative records (Table 1).

Table 1 Typology of maize storehouses in México. 

Note: the indexes of equipping refer to the average percentage of equipment per storehouse, considering: 1/ scales, bazookas, tractors, sieving machines, conveyor belts, sowing machines, sampling and depth sounding lines, aerating machines, tankards, drying machines and loaders. 2/ moisture determinants, top-loading balance, sieves, socket sounding lines, depth sounding lines, boerner, oven or stove for desiccation and aflatex. 3/ load vehicles, maneuvering courtyards of at least 50 square meters, loading ramps, train spur and port to carry out cabotage. 4/ grain entries and exits, records of payment, purchases, inventories, invoicing, grain mobilization programs, safety records, and specialized computer software for grain management.

Source: authors’ elaboration based on Ortiz et al. (2015).

Thus, once the maize storehouses in México are classified, characterized and located geographically in function of their particularities, the social network analysis allows explaining the origin and destination of the grain stored from the social relationships established with suppliers, buyers and destination industries from the largest and technified storehouses to those whose conditions are more precarious.

Results and Discussion

In this study, three types of relationships are presented: 1) Type of suppliers that supply the maize storehouses in México with grain; 2) Type of buyers who acquire the maize stored; and 3) Destination industries of the grain stored. In every case networks are shown where the social actors mentioned by the storehouses are the ones that they consider principal and are represented with blue rhombuses, whose size is defined in function of the in-degree or level of centrality.

In their turn, the storehouses are represented with circles of five different colors, assigned according to the typology of storehouses carried out by Ortiz et al. (2015), which, as was previously described, reflect differences in infrastructure, capacity and levels of equipment between the different types of storehouses.

The arrows with direction to types of suppliers represent the grain’s purchase and with direction towards the types of buyers or destination industries represent the grain’s sales. Thus, the number of arrows in each network shows the number of relationships established between storehouses and their main suppliers or buyers; at the same time, the number of relationships represents the degree of each type of social actor.

The size of each one of the rhombuses that represent suppliers, buyers and destination industries is obtained in function of the out-degree or in-degree in the network; thus, larger rhombuses mean higher number of relationships and, therefore, higher level of centrality.

Maize supply to the storehouses

The network of suppliers shows 442 maize suppliers in México and the grain purchasing relationships are established with five types of suppliers, among which there are those that the storehouses consider principal. These suppliers are classified as: individual producers, groups of producers, national companies, international companies, and partners of the storehouse. These authors represent a network with a size of 447 nodes (Figure 1).

Source: authors’ elaboration based on Borgatti (2002) and Borgatti et al. (2002).

Figure 1 Main maize suppliers to storehouses. 

The network density has a value of 0.50045; that is, the connections represent half of the ones possible, which is explained by an average out-degree of the storehouses of 2.5 actors mentioned.

The in-degree for each type of supplier is the principal analysis attribute in this network, since it defines their level of centrality, so that their dimension is shown in the size of each rhombus. Thus, we can notice that the most important type of supplier, which in the language of networks is defined as degree prestige due to its high level of centrality (Hanneman, 2001), is individual producers, with an in-degree that means 78.3 % of the relationships.

The rest of the actors show very low in-degrees that mean 8.7 % for groups of producers, 7.0 % national companies, 5.3 % partners of the storehouse, and only 0.7 % international companies.

The fact that maize producers are the principal type of supplier for all types of storehouses shows, in principle, the importance of this type of actors in the maize supply to the market. However, since they are not organized or partners of the storehouses, that is, since they are not formed into a legal figure or as groups of producers, they are at a disadvantage, since it is possible even when prices are established in the Chicago stock market they will decrease as a result of the decisions that both intermediaries and large companies make (Castañeda et al., 2014).

As Modrego and Sanclemente (2007) indicate, small-scale producers do not have any possibility of participating in the most dynamic and profitable segments of the network of commercialization, as long as their product does not comply with the conditions of cost, quality and innocuousness demanded by the markets through the central actors of the commercialization network.

This is even clearer among Type C and D storehouses, which lack infrastructure and are prevalent in the state of Chiapas, where practically all individual producers and groups of producers or partners of the storehouse simply do not appear as suppliers.

In contrast, among the storehouses supplied from the grain of partners there are types E and B. The first type of relationship is observed in the states of Puebla, Veracruz, Guerrero, Zacatecas, Durango and Nuevo León, where the producers are grouped and are constituted legally to store their harvests in a small space in terms of capacity and level of equipping.

The second type of relationship, of Type B Storehouses, whose grain enters from partners, is observed in storehouses such as: “Productores Unidos del Valle de Serdán”, in Puebla; “Sociedad Cooperativa de Productores de Maíz del Valle del Nazas”, in Durango; “Sociedad Cooperativa de Consumo Los Fresnillenses”, in Zacatecas; “Centro de Recepción Joaquín Miguel Gutiérrez”, in Chiapas; and “Procesadora de Semilla”, in Chihuahua. In these cases there are stronger organizations that have greater capacity for stocking and the possibility to give added value to the grain, given the level of equipping of the storehouses.

On the other hand, in the network it is observed that in the largest storehouses in terms of infrastructure, capacity and equipping (Type A), the main suppliers are producers and groups of producers, confirming the dependence that producers have on decision making by large companies, which have both the final decision in terms of the added value and the destination that is given to the grain stored. These storehouses are characteristic of the states of Sinaloa and Jalisco; some examples are: Almacenadora Mercader, Bachoco, Cargill and MINSA.

Now, the roster of enterprises mentioned as principal suppliers of the storehouses takes place more frequently in the states of Chiapas, Guerrero and Hidalgo, where companies such as Inagro del Sur, Granera Montes, Gramosa and Asgrow are supplied.

The distances at which each type of supplier is located and the time the maize stays stocked are aspects that allow complementing the network analysis when types of suppliers and storehouses are compared. Figure 2 shows that the largest in the country (Type A) and those in the Southeast, which although lacking infrastructure do store important amounts of grain (Type C), are stocked by suppliers that are located at short distances, regardless of the type of supplier. In the other groups of storehouses the national companies represent the farthest supplier, primarily in those of Type E.

Source: authors’ elaboration with information provided by Servicio Infomex.

Figure 2 Average distance between storehouses and principal suppliers. 

Observing now the average time of storage of the maize per type of supplier and of storehouse, it is found that precisely in those that are stocked at shorter distances it is where the grain remains stored for longer time (Type A and C). In the case of those of Type B and E, which, as has been seen before, are supplied primarily from national producers and companies, the distances from suppliers are similar, but the storage time is shorter in the smallest and less technified ones (Type E), which can be associated both to the level of equipping for grain management that each type of storehouse has and to the capacity of transformation and added value that those of Type B have, to a higher degree than those of Type E (Figure 3).

Source: authors’ elaboration with information provided by Servicio Infomex.

Figure 3 Average time of storage. 

Until now the network analysis of principal suppliers shows the dependence that storehouses have to be stocked by local producers; however, these also depend on the decisions of the companies since in their majority they are not legally grouped and constituted, thus leaving the productive process chain, the control of the price paid for maize, and the possibility of gaining access to government backing to larger storehouses or to the supplier companies.

If not only the suppliers mentioned as principal are observed now, but rather the total of maize suppliers for each type of storehouse, the weight of individual producers in grain supply to the storehouses is confirmed, since 72.8 % of the latter purchase grain from this type of social actors and the proportion is quite high, regardless of the type of storehouse.

In contrast, the groups of producers and international companies are more representative as suppliers of type A and B storehouses; national companies of type B and C storehouses; and partners of the storehouse of type B and E storehouses (Table 2).

Table 2 Storehouses that are stocked from each type of supplier. 

Source: authors’ elaboration with information provided by Servicio Infomex.

The amount of grain that storehouses acquire from each type of supplier makes the importance of individual producers in grain supply even more evident. In those of Type A, out of 9.5 million tons of purchases per year, 5.7 million come from individual producers; in those of Type B, 1.5 million out of 2.6 million; and in those of Type C, close to 110 thousand out of 170 thousand. In the case of those of Type D, virtually all the grain is acquired from individual producers and only in those of Type E the proportion of grain that is purchased from individual producers decreases due to the importance that the partners have as suppliers (Table 3).

Table 3 Total of maize acquired per type of supplier (tons/year). 

Source: authors’ elaboration with information provided by Servicio Infomex.

The second type of supplier in order of importance, both because of the proportion of storehouses that are stocked from them and because of the amount of grain it represents in the purchases of the storehouses are the groups of producers that, based on the number of relationships, are important primarily in Type A storehouses, although because of the amount of grain sold in each one, are relevant in all of them, except for those of Type D, where, as was mentioned before, only relationships with individual producers are established.

On the other hand, the national companies have greater importance as suppliers of Type B and C storehouses, and the international ones are significant only in those of Type A.

Principal buyers of the stored maize

Once the relationships that storehouses establish to purchase grain have been observed and discussed, the type of maize buyers that these refer as the principal ones, as well as the destinations of the grain stored for each type of storehouse, are analyzed.

First, the network of principal maize buyers from storehouses has a size of 442 nodes, where 436 are storehouses and six are types of buyers, grouped as: individuals, groups of producers, national and international companies, exports and partners of the storehouse. In this case, the storehouses have an average out-degree of 1.7 actors referred, which gives a network density with a value of 0.28937, and indicates that at the time of the grain sale the storehouses identify less principal actors than during their provision (Figure 4).

Source: authors’ elaboration based on Borgatti (2002) and Borgatti et al. (2002).

Figure 4 Principal maize buyers from storehouses. 

In addition to less density, in this network a lower level of centralization stands out than in the type of suppliers, since it shows a structure shared between two types of actors which, due to the in-degree, can be considered degree prestige (Hanneman, 2001); these are: individuals, with 33.6 % of the connections, and national companies, with 52.4 %. The rest of the actors have in-degrees that mean 6.1 % for groups of producers; 3.2 %, partners of the storehouse; and 2.4 %, both international companies and exports.

Observing in the network which are the buyers referred by type of storehouse we find that the national companies represent the only type of buyer in several storehouses of every type, but when it comes to a single type of buyer for Type E storehouses, individuals predominate (Table 4).

Table 4 Grain sales roster per type of storehouse and buyer. 

Source: authors’ elaboration with information provided by Servicio Infomex.

Likewise, in storehouses of Type A, B, C and D, the proportion of relationships established with buyers is mostly with national companies; the exception are those of Type E, which establish a higher proportion of relationships with individuals.

On the other hand, it stands out that the storehouses with lower levels of capacity and equipping (Type D and E) refer that they export grain; however, this explains why in every case these are located in Chiapas and sell the grain on the border between México and Guatemala.

Now, when the grain buyer is an international company, only the storehouses that are larger and technified (Type A) of the network are observed. This purchase-sale relationship is observed in the states of Jalisco and Sinaloa, where agricultural/livestock, trading and integrating groups sell to Cargill, Maseca or Grains & Ancillary.

The type of buyer that stands out for each type of storehouse allows suggesting that the storehouses with the lowest indicators of infrastructure, capacity and/ or equipping distribute small amounts according to their capacity for storage, so they represent the main distributors to tortilla makers, fodder and local and regional traders, as well as other storehouses with the capacity to transform the grain.

In their turn, the larger and more technified storehouses are the ones in charge of selling maize to national and international companies, with capacity to give added value to the grain, as well as to define the final destination in function of the variables of offer and demand in the market.

These data agree with the distance and the average transport time between storehouses and buyers. More than half of those of Type E, that is, the most frequent at the national level, but with less capacity for storage and levels of equipping, supply buyers that are located at quite short distances, of 17 km in average, whose grain destination is the dough and tortilla industry, that of balanced meals, or selling to other storehouses.

In contrast, 40 % of the largest and more technified storehouses (Type A) sell the grain to regional or interstate buyers, located at an average distance of 793 km. In this case, again these are storehouses located mostly in Sinaloa, and the buyers most often referred are GRUMA, in Nuevo León, Mexico City, Jalisco and Guanajuato; MINSA, in Estado de México and Jalisco; Molinos La Conchita, in Mexico City; and Mister Pollo, S.A. de C.V, in Jalisco (Figure 5).

Source: authors’ elaboration with information provided by Servicio Infomex.

Figure 5 Average distance between storehouses and principal buyers. 

In Type B storehouses, another situation is observed; a third part of the buyers is located at 39 km in average, although in contrast with storehouses of Type E the individuals do not stand out as buyers. In this case, they have as local buyers associations such as Grupo Sonqui, S.P.R. de R.L. in Sonora, and national companies like Nutrigafer S.A. de C.V. y Alimentos Concentrados de Delicias S.A. de C.V., in Chihuahua, and partners of the storehouse Productores Unidos del Valle de Serdán in Puebla.

Likewise, most of the buyers that are located at one to two hours distance from storehouses of Type B are national companies, among which all the grain for described here are found. Some examples are: in the dough and tortilla industry, Productores Maiceros del Valle de Edzna in Campeche, which sell to SUMASA in Yucatán; in the balanced meal industry, Sociedad Cooperativa de Productores de Maíz del Valle de Nazas in Durango, which sell to Ferrogranos, in Coahuila; in the oil industry, Almacenes de Zacatecas, which sell to Almidones Mexicanos in Jalisco; in the sale to another storehouse, Unión de Ejidos de Ahualulco de Mercado Jalisco, which sell to DICONSA in Nayarit. In addition, among states with larger territorial surface, like Chihuahua or Chiapas, the grain sale to partners of the storehouse is also located at one to two hours distance.

In their turn, those of Type C sell mostly to national companies that are located at distances further than two hours; primarily those of Chiapas are found in this case, which sell to GRUMA, located in Ocozautla de Espinoza, in the same state, whether for the dough and tortilla industry or for the flour industry; for this last destination all the storehouses are called Stocking Centers.

In those of Type D, which are also located primarily in Chiapas, but which stock in a more rustic way and lower amounts of grain, Grupo Agropecuario Plan de Ayala and Almacenadora Mercader S.A. de C.V stand out in addition to GRUMA, as well as several individuals mentioned on more than one occasion by different storehouses, in most of the cases, with the final destination of the dough and tortilla industry.

Destination industries of stored maize

Just like in the principal network of maize buyers, the network of destination industries is made up of 442 nodes, of which 436 are storehouses and six are the possible destinations for the grain: dough and tortilla industry, balanced meals industry, sale to another storehouse, flour industry, transformation in the storehouse itself and oil industry.

Because each buyer referred to by storehouses means a destination, the network density is also the same; what differ are the in-degrees. In this case, the main degree prestige is the dough and tortilla industry, which represents 49 % of the relationships referred to by storehouses; in the second place of importance, the industry of balanced meals, referred to in 25 % of the cases (Figure 6).

Source: authors’ elaboration based on Borgatti (2002) and Borgatti et al. (2002).

Figure 6 Main destinations of the maize stored. 

In turn, the sale to other storehouses is also an important node, for it means 11.9 % of the relationships; the flour industry, which contemplates maize flour used to elaborate tortillas and other traditional foods, such as tamales, represents 7.4 %; the grain transformation inside the storehouse itself, 5.9 %; and the oil industry, 0.8 %.

Now, taking into consideration the destination industry and the type of buyer jointly, both in the dough and tortilla industry and in that of balanced meals, the main connections are between storehouses and individuals or national companies.

However, the Type A, B and C storehouses, which are the ones that have the best indicators of capacity and equipping, supply primarily national companies; and those of Type E are the main suppliers of grain for individuals, among which there are mainly tortilla makers.

It’s important to say that among national companies that purchase maize to destine it to the dough and tortilla industry, GRUMA concentrates 41 % of the mentions, whether with the name of MASECA or CONALSA. Others that stand out, although not with the same level of centralization, are: DICONSA (6 %), MINSA (5 %) and SIACOMEX (4 %).

In the flour industry the sale is centralized also in national companies and again GRUMA represents 41 % of those referred, whether with the name MASECA or CONALSA. Another 26 % corresponds to MINSA and 11 % to Almacenadora Mercader S.A. de C.V, highlighting that in this destination the Type E storehouses have low participation.

GRUMA’s strategy that Chauvet and González (2001) describe stands out, when they indicate that the leadership of this company is based on their vertical integration from maize stocking, its transformation into flour, the manufacture of machinery for the tortilla industry, tortilla production and the massive delivery up to the last detail.

However, when it comes to selling grain for the elaboration of balanced meals, although there are also individuals and national companies as principal buyers, there is lower level of centralization, both because of the type of social actor who appears in grain purchasing and because of the type of storehouse.

A degree prestige in this case is the Grupo Agropecuario Plan de Ayala, which represents 17 % of the mentions of national companies, but in every case they correspond solely to storehouses in the state of Chiapas. Other buyers who destine grain to the elaboration of balanced meals mentioned on several occasions are Cargill, Alimentos Balanceados Chihuahua, ALCODESA, Nutrigrafer, S.A. de C.V. and Mister Pollo, S.A. de C.V.

In the sale to another storehouse, the buyers are primarily national or international companies when the sale comes from the storehouses with better characteristics and to individuals when the grain comes from storehouses of Type D and E. Some of the buyers in this grain destination are Cargill, Diconsa, SIACOMEX and Agroproductores del Estado de Veracruz, S.A. de C.V.

Similarly, the oil industry as final destination of the grain is observed only when the buyers are national companies and the storehouses of Type A or B. In this case, half of the mentions correspond to the company Almidones Mexicanos.

Finally, when the destination of the maize is grain transformation inside the storehouse those of Type E sell mostly to individuals and those of Type B to national companies. Examples of these buyers are Unión Agrícola Regional de Productores de Maíz (UNIPRO), Bachoco, CPI Ingredientes, and Nuestro Campo S.C.

Conclusions

Individual producers are social actors who are determinant in maize supplying to storehouses in México, for they represent the highest number of relationships established with suppliers. However, a large number of producers is required to equate the amount of maize that a single company sells to the storehouses, which, in addition to the absence of a legal figure, places them at a disadvantage in situations like dependence on intermediaries, price paid for the grain at the time of entry to the storehouse, or financial access and government backing.

The storage time, according to the type of supplier and storehouse, shows that the most frequent storehouses in the country (Type E) are the ones that lack equipment to maintain or transform the grain, which makes difficult the possibility of having a maize reserve during periods of scarcity.

At the time of the maize exit from the storehouses, it stands out that the smallest (Type D and E) distribute smaller amounts, according to their capacity for storage, and at quite short distances, so they represent the main distributors to tortilla makers, fodder and local and regional traders, as well as to other storehouses with the capacity for grain transformation.

In their turn, the largest (Type A and B) are those in charge of selling the stored maize to national and international companies located at distances that suggest inter-state exchanges, with the capacity to give added value to the grain and define the final destination, in function of the variables of offer and demand in the market.

The dough and tortilla, and flour industries, which are the ones that influence most directly on food security, are highly centralized, for GRUMA is mentioned four out of 10 times as the main buyer from storehouses, whether with the name of MASECA or CONALSA, situation that marks a high dependence on the decisions of a single company, both for suppliers of the grain and for storehouses and other buyers.

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Received: August 2014; Accepted: May 2016

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