Brazil has become one of the world’s largest grain producers and exporters by increasing productivity as well as expanding its agricultural frontiers in the last decades. Globally, the relevance of the consumer awareness of the need to preserve natural ecosystems is strengthened and consumer has demanded information from suppliers that demonstrate the sustainability of the productive chains. In the Matopiba region, the last agricultural frontier in the Brazilian Cerrado biome, soy producers are being encouraged to adhere to the <i> responsible soy </i> certification standard. This study evaluated three groups of certified soy producers. Field research has shown that farmers have common expectations: legitimacy, risk reduction, land valuation, and promotion of different modalities of access to the certification system.
Brazil is among the world’s largest grain producers. In 2016, the area planted with soybeans reached 33.3 million hectares and produced 96.296 million tons of grains. Since the early 2000s, the average annual variation in soybean area has been 18.4% in the Matopiba region, see
In the early 2000s, environmental organizations began to criticize soy producers for possible risks to the integrity of the Amazon biome as a result of the expansion of soybean crops. As a result, the Soy Moratorium was declared in July 2006, consisting of a commitment on the part of the Brazilian Association of Vegetable Oil Industries (ABIOVE) and the Brazilian Association of Cereal Exporters (ANEC) not to market or finance soybeans produced in areas that were deforested in the Amazon biome [
Considering this context, the aim of the present study was to answer the following questions: What motivation could induce soy producers in agricultural frontier regions to adhere to certified agriculture standards? What barriers could hinder the adherence of soy producers to socio-environmental certification standards? What strategies are being adopted for certification? In this study, three groups of certified soy producers were evaluated. The field research shows that farmers have common expectations: legitimacy, risk reduction, land valuation, and the promotion of different modalities of access to the certification system. This paper presents the results of research conducted on the environmental certification of soybeans. The scenario of soybean expansion on the agricultural frontier of the Cerrado biome was delineated through documentary research and the strategies of the soybean producers were investigated during the fieldwork.
Qualitative research methods were used in the case study on the economic and institutional context of the implementation of the RTRS standard in the Matopiba region. A documental research was first carried out based on the “Brazilian National Interpretation of the RTRS Standard for Responsible Soy Production” document in order to understand its principles and requirements [
Production standards are persuasive mechanisms of international governance, the purpose of which is to achieve collective wellbeing through the coordination or constraint of individual behaviors [
In the last twenty years, private standards have emerged in response to the evolution of the public regulation in the agri-food sector, especially in Europe, as an instrument of market governance in many countries [
The main types of standards are those for risk management and product differentiation. The role of standards (public or private, compulsory or voluntary) is to facilitate the coordination of agri-food value chains at the interface between producers and firms, conveying credibility with regard to the nature of the products and the conditions under which they were produced, processed and transported.
Standards reflect the convergence of changes in consumer demands, regulatory systems and the modus operandi structure of the value chain, with emphasis on the characteristics of accreditation, the information costs of which are typically high [
The following are the attributes of private standards: 1) voluntary nature: there is no legal obligation to comply with them, 2) private sector protagonism: the main functions are carried out by private entities, 3) compliance certified by a private organization: the role of the public sector is limited to the establishment of accreditation systems. Thus, private standards for product differentiation play roles such as coding information, managing interface complexities and reducing transaction costs.
The deliberative capacity of private environmental governance based on multiple stakeholders involves open, inclusive processes based on consensus, thus creating common good through communicative processes that allow the inclusion of a wide variety of stakeholders [
Since the 1990s there was a proliferation of variety and number of voluntary certification standards creates difficulties for producers and costumer to attend an appropriate standard and compliance due multiple standards [
In this process, there has been a general lack of strategies linking different initiatives, which has led to more duplication of efforts, confusion and skepticism on the part of the consumer and raised questions about the legitimacy of these voluntary standards. This has pointed to the need for a broader coordination of efforts and multiple related initiatives, which has been defined by some authors as “meta-governance” [
Bruchem et al. [
This Research have focuses on the RTRS voluntary certification standard which was established with the purpose of facilitating the global dialogue on economically viable, socially equitable and environmentally appropriate soybean production under the coordination of the International Responsible Soy Association, which was established in 2006 with stakeholders (producers, social organizations and companies). The RTRS organization includes 197 members from different countries, such as Argentina, Belgium, Bolivia, Brazil, Denmark, Spain, Finland, Netherlands, France, India, China, Singapore, Norway, Paraguay, Uruguay, United Kingdom, Sweden and Switzerland.
The responsible soy production standard is structured on five principles and 27 criteria that are required of producers interested in earning RTRS certification in a conventional, organic or genetically modified production process. This production standard has a total of 98 indicators, including requirements to conserve of “High Conservation Value Areas” (HCVA), promote good management practices, ensure fair working conditions and respect claims for land tenure. The need for the protection of HCVA is due to “biological, social, or cultural value of critical significance” [
To facilitate the adherence of producers to the certification standard, RTRS has established a progressive entry level that involves a continuous improvement approach. Thus, a classification of indicators based on three categories (immediate compliance indicators, short-term compliance indicators and medium-term compliance indicators) is used assess the conformity of a producer interested in certification [
Certified soybean businesses are still restricted to a few companies. Globally, there are 0.9 million hectares and 1.7 million tons of certified soybean in 2017/2018 harvest. Brazil has 143 certified producers (71.3% of total production) and Argentina is in second position, with 48 producers (25.2% of production), see
In the first half of the 2000s, soybean plantations reached 22 million hectares in Brazil and 1.8 million hectares in the Matopiba region. In the period between 2000 and 2016, the variation in planted area was +143.2% in Brazil and +321.1% in the Matopiba region, see
Wildlife Fund and Greenpeace) against the expansion of soybean production in Amazonian agricultural frontier regions, with the commitment of Brazilian environmental agency Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA) to intensify state control actions against illegal deforestation. The effectiveness of the Soy Moratorium as an environmental governance tool has limited impact without the strong performance of the national government [
In November 2017, a pool of sixty environmental organizations, including the World Wildlife Fund, Greenpeace and The Nature Conservancy launched a manifesto in London, as a warning voice against the increase in deforestation of the Brazilian Cerrado. The manifesto was entitled “The Future of the Cerrado in the hands of the market: the deforestation and the conversion of native vegetation must stop”. In the period from 2013 to 2015 there was an expansion of agribusiness in the Matopiba region, so that the environmental organizations indicated that the model of the Amazon Soy Moratorium should be replicated and expanded to contain the deforestation of the Cerrado. The following month (December 2017), the RTRS announced its full support for the manifesto, the major plea of which was “urgent measures to ensure that the supply chains for soy and beef do not contribute to deforestation and the conversion of natural areas for agricultural purposes” [
Certified soybean farms in the Matopiba region are organized into three multi-sites. Multi-site certification refers to the process in which a single certificate involves multiple agricultural establishments, all of which are subject to the same administration and control systems [
Three different groups, each one following a specific approach or modality access were identified. The first, FAPCEN multisite, one is formed of multiple stakeholders and leaded by one organization. The second, SLC Agricola multisite, one is a single company managing the own process. The third, Agrex do Brasil multisite, one is formed of multiple farms integrated by their production’s buyer and main supplier that drives the process of certification.
The first modality (exemplified by the multi-site FAPCEN) regards the arrangement of multiple farms with a medium-scale of business operations. These farms seek to reduce the costs of certification by not individualizing environmental commitments. In this modality, an organization is responsible for managing the arrangement, while compliance is ensured by the members of the group in a supportive manner. Information obtained through interviews enabled the inference that this segment of producers exhibits weaknesses in its environmental performance, especially due to the high level of informality in the processes of monitoring and controlling the production of certified soy. In the second modality (exemplified by the multi-site SLC Agricola), the company acquires certification in an individualized way. In this case, the business model includes large-scale enterprises that have specialized sectors (technical assistance, production, storage, transport logistics and commercialization) and codes of conduct are used to monitor operational procedures and sustainability. The third modality (exemplified by Agrex do Brasil) regards an arrangement of multiple farms integrated into a Grain Purchasing Company and supplier of inputs, which has specialized services, such as technical assistance, warehousing, transportation and multimodal logistics.
The expected outcomes of these arrangements are market access, risk reduction, rural property valuation, premium pricing, reputation and legitimacy. These access modalities adopted by certified producers in the Matopiba region also include certified soy producers in the central-southern region of the country.
The FAPCEN multi-site group is composed of nine farms: five in the state of Maranhão and four in Piauí. The area covered by the group is 188,074.36 hectares, of which the certified soybean area is 119,423.38 hectares (
It should be noted that this multi-site was not certified under the chain of custody system. Thus, the monitoring of certified production units is more flexible. Its management is the responsibility of FAPCEN, which is responsible for ensuring that the farms fulfill the standards and requirements. There is a program of internal auditing defined in the group management manual, which consists of an initial internal audit on all farms and an annual monitoring audit to ascertain the compliance of the group members. Members of the FAPCEN multi-site demonstrate knowledge of applicable laws, hold the legal rights to use the land and apply appropriate management practices, according to the records consulted. The updated records relating to all the requirements of the standard are controlled by the manager of each farm and should be maintained for at least five years.
The SLC Agricola multi-site group consists of seven farms: two in the state of Maranhão, three farms in Mato Grosso, one in Bahia and one in Goiás. The total area is 267,499.72 hectares, of which 139,695 hectares are planted and 0.4 million tons of soybeans are certified in the RTRS standard with validity up to August, 17, 2021 (
SLC Agricola has a business model based on a modern production system, with a high scale, standardization of production units, state-of-the-art technology and socioenvironmental responsibility. The company is formed by different departments that support the group’s farms and counts on external legal counseling. Using this structure, there was a coordinated action to incorporate practices and adapt procedures in order to give more transparency to the management of the processes [
The Agrex multi-site group is formed by 22 farms: eleven in the state of Maranhão, five in Mato Grosso, four in Bahia and two in Piauí. The total area is 170,398.89 hectares, of which 94,150.76 hectares are planted and production is approximately 0.3 million tons of soybeans certified in the RTRS standard (
The RTRS certification was obtained in the 2012/2013 cycle, making Agrex the pioneer in the region. The certification process required adjustments to the operation to meet requirements, namely, the maintenance of “High Conservation Value Areas”, best practices, soil and water management, fair working conditions, respect for land tenure claims, the motivation of collaborators, strengthening relations with neighboring communities and support from external legal counseling.
Interviews with ten certified and non-certified producers allowed the identification of barriers and facilitators in the scenario of socioenvironmental certification in the Matopiba region.
Analyzing the results shown in
State regulation is perceived by the interviewees as bureaucratic and costly. According to the interviewees: “it’s hard to meet certain legal demands due to the difficulty in formalization, such as the documentation of employees, land,
Actors involved in socio-environmental certification initiatives | Business model | Environmental performance | Outcomes expected |
---|---|---|---|
Multiple stakeholders (e.g., FAPCEN) | . Collective environmental goals . Medium scale of soy cultivation area (under 50,000 ha for farmland associated) | . Weak transparency and traceability . Incomplete documentation | . Legitimacy . Market access . Premium prices . Efficient management of farm . Reduced risk . Valorization of rural property |
Single company (e.g., SLC Agricola) | . High technology of production system . Large scale of soy cultivation area: over 100,000 ha for farmland integrated | . Transparency and traceability . Publication of annual sustainability report . Adoption of codes of conduct and operational guide . Appropriate documentation: soil management plan, pesticide use plan, computation monitoring system, water quality control, fuel consumption monitoring, native vegetation monitoring | . Reputation . Reduced risk . Valorization of property rights . Market share |
Integrated Trader company (e.g., Agrex do Brasil) | . Future market: purchases grain and sells fertilizers, seeds and pesticides . Varied scales of soy cultivation area: less than 5000 ha up to 50,000 ha for farmland integrated . Platform of services: warehouse, transport, trader, specialized technical assistance, multimodal logistics | . Transparency and traceability . Adoption of codes of conduct and operational guide . Appropriate documentation: soil management plan, pesticide use plan, computation monitoring system, water quality control, fuel consumption monitoring, native vegetation monitoring. | . Reputation . Market share . Motivation for workers .International compliance . Purchasing companies seek to access markets and international credit lines |
Source: Interviews during fieldwork.
Name of the Farm | Location | Geographic Coordinates | Total area (ha) | Planted area (ha) | Total Production (t) | |
---|---|---|---|---|---|---|
Latitude (S) | Longitude (W) | |||||
Fazenda Sol Nascente | Maranhão | 7˚27'10.44'' | 46˚01'38.45'' | 112.63 | 71.4 | 214.20 |
Fazenda Nova Holanda | Maranhão | 8˚24'56.00'' | 46˚21'81.40'' | 51,565.27 | 34,668.51 | 104,005.53 |
Fazenda Tunísia | Piauí | 7˚26'20.07'' | 44˚20'45.29'' | 12,247.07 | 8353.73 | 25,061.19 |
Fazenda Progresso | Piauí | 7˚30'14.43'' | 44˚12'34.43'' | 27,751.64 | 18,049.93 | 54,149.79 |
Fazenda Serra Vermelha | Maranhão | 6˚53'39.56'' | 45˚19'32.30'' | 22,950.21 | 14,359.43 | 58,586.47 |
Fazenda Santa Luzia | Maranhão | 8˚24'56.00'' | 45˚29'52.77'' | 14,477.00 | 5975.74 | 22,588.29 |
Fazenda Boa Esperança | Piauí | 7˚26'20.07'' | 45˚19'59.30'' | 18,901.29 | 14,115.91 | 55,052.05 |
Fazenda Ribeirão | Piauí | 7˚30'14.43'' | 44˚12'34.43'' | 33,627.09 | 20,029.92 | 66,098.73 |
Fazenda Alice | Maranhão | 7˚37'16.64'' | 45˚41'47.32'' | 6442.16 | 3798.81 | 13,217.04 |
Total | 188,074.36 | 119,423.38 | 398,973.29 |
Source: [
Name of the Farm | Location | Geographic Coordinate | Total area (ha) | Planted area (ha) | Total Production (t) | |
---|---|---|---|---|---|---|
Latitude (S) | Longitude (W) | |||||
Fazenda Parnaíba | Maranhão | 08˚30'50.82'' | 46˚04'40.38'' | 75,394.07 | 35,774.56 | 110,901.14 |
Fazenda Planeste | Maranhão | 08˚33'13.97'' | 46˚51'33.48'' | 55,134.55 | 24,137.14 | 74,825.13 |
Fazenda Planalto | Mato Grosso do Sul | 18˚12'39.71'' | 53˚12'12.42'' | 17,437.32 | 6418.41 | 19,832.89 |
Fazenda Pamplona | Goiás | 16˚13'38.70'' | 47˚37'33.64'' | 17,384.66 | 8259.26 | 25,603.71 |
Fazenda Panorama | Bahia | 13˚24'29.77'' | 46˚05'46.62'' | 34,003.87 | 10,968.99 | 34,003.87 |
Fazenda Paiaguás | Mato Grosso | 14˚04'50.62'' | 57˚27'18.70'' | 44,706.10 | 34,257.10 | 106,171.49 |
Fazenda Planorte | Mato Grosso | 13˚56'10.22'' | 58˚53'39.60'' | 23,439.15 | 19,879.54 | 61,427.78 |
Total | 267,499.72 | 139,695.00 | 432,766.00 |
Source: [
Name of the Farm | Location | Geographic Coordinate | Total area (ha) | Planted area (ha) | Total Production (t) | |
---|---|---|---|---|---|---|
Latitude (S) | Longitude (W) | |||||
Fazenda Chapadão | Maranhão | 46˚39'57,37'' | 08˚40'44,58'' | 4435.72 | 2634.00 | 7577.28 |
Fazenda Sapucaí | Maranhão | 45˚46'48,44'' | 08˚17'31,14” | 3694.37 | 2404.00 | 6202.32 |
Fazenda São Sebastião | Maranhão | 45˚59'05,51'' | 08˚07'56,99” | 3916.76 | 2266.34 | 6255.10 |
Fazenda Certeza | Maranhão | 45˚53'09,74'' | 08˚06'30,77” | 4156.50 | 2473.00 | 6454.53 |
Fazenda Escondido | Maranhão | 45˚55'28,86'' | 07˚57'49,69'' | 4945.30 | 3074.00 | 8299.80 |
Fazenda Angicos | Maranhão | 45˚47’21,32'' | 08˚07'33,88'' | 5680.00 | 2000.00 | 6600.00 |
Fazenda Guaíra | Maranhão | 45˚56’44,18'' | 07˚05'19,76'' | 4784.00 | 2270.00 | 5856.60 |
Fazenda Seis Irmãos | Maranhão | 46˚19'32,99'' | 07˚26'43,02'' | 13,064.77 | 7536.67 | 19,436.38 |
Fazenda Caiuá | Maranhão | 46˚37'08,44'' | 08˚25’48,95'' | 2743.62 | 1517.08 | 5552.51 |
Fazenda Takahashi | Maranhão | 46˚39'57,45'' | 08˚40’43,40” | 5147.71 | 3984.74 | 14,103.36 |
Fazenda Agro Boa Vista | Maranhão | 46˚38'20,70'' | 08˚35'50,41'' | 2446.37 | 2305.63 | 8024.88 |
Fazenda Japurá | Piauí | 45˚34'13,49'' | 08˚43'17,74'' | 7271.64 | 5000.00 | 13,800.00 |
Fazenda Estrela | Piauí | 45˚20’32,96'' | 08˚29'41,23'' | 10,014.00 | 3800.00 | 10,032.00 |
Fazenda Alvorada | Bahia | 46˚15'03,41'' | 12˚25'19,45'' | 10,417.00 | 6437.00 | 21,628.32 |
Fazenda Tamarana | Bahia | 45˚41'44,48'' | 13˚36'38,72'' | 7652.00 | 4328.00 | 11,166,24 |
Fazenda Guarani | Bahia | 46˚11'39,60'' | 12˚54'8,75'' | 9139.00 | 5429.50 | 18,243.12 |
Fazenda Orquídeas | Bahia | 46˚14'36,82'' | 11˚50'35,09'' | 8455.00 | 6740.00 | 21,837.60 |
Fazenda Lagoa Encantada | Mato Grosso | 54˚15'51,08'' | 15˚16'01,99'' | 4401.18 | 3972.00 | 13,822.56 |
Fazenda Caroline | Mato Grosso | 54˚08'55,36'' | 15˚09'22,34'' | 5649.79 | 2670.70 | 9131.40 |
Fazenda Garça Branca | Mato Grosso | 54˚30'34,60'' | 15˚12'44,60'' | 5250.18 | 1800.00 | 6048.00 |
Fazenda Jataí | Mato Grosso | 52˚19'39,37'' | 11˚20'08,25'' | 38,750.60 | 18,008.10 | 60,507.22 |
Fazenda Dallas | Mato Grosso | 52˚21'57,92'' | 11˚31'50,07'' | 8383.38 | 3500.00 | 12,180.00 |
Total | 170,398.89 | 94,150.76 | 292,759.22 |
Source: [
RESULTS FROM THE SURVEY APPLIED IN THE INTERVIEWS |
---|
Principle: Compliance with environmental legislation and best practices Barriers: Proof of legal compliance of farms is hampered by the informality of most operations, the producers have a perception of the state inoperability in the environmental regulation considering it onerous, farms need to bear high compliance costs in order to qualify for the socio-environmental certification process. Facilitators: most interviewees recognize environmental legislation: the Forest Code, environmental licensing rules, the Phytosanitary Legislation and the Legislation on the use of agrochemicals, contracting legal advice to ensure legal compliance of farms, service of reverse logistics, adequacy of properties through investment in infrastructure, and legal compliance |
Principle: Responsible working conditions Barriers: Outsourced workers ? high turnover, qualification/training costs, control of the supply of individual safety equipment by outsourced companies. Facilitators: Compliance with labor legislation, collective bargaining agreements with the consent of a working class representative (FETAEMA - Union of agricultural workers of the state of Maranhão). |
Principle: Community Relations Barriers: Low regularity in communication between farms and local communities in the surrounding area, Facilitators: Lack of conflict between certified farms and local communities, hiring of workers in the region to carry out farm activities, development of programs for the benefit of surrounding communities, such as: child education, family health, community gardens, training in agricultural practices (“field days”), disposal of equipment to prepare and harvest community agricultural fields, sharing equipment for the maintenance of bridges and roads. |
Principle: Agricultural Best Practices Barriers: Incomplete documentation of the application of pesticides, interviewee’s claim “the size of the property makes it difficult to implement the application plan according to the agronomic prescription and control by order of service - SAP system (packaging according to legislation)”, biological control of pests practiced by a few enterprises (allegations of “high operating cost” and “lack of trained personnel to carry out integrated pest management”), and the use of transgenic seeds is a widespread practice in the prevention of new diseases. Facilitators: agricultural management based on the use of no-till systems, mapping of soil types for soil quality and erosion control, application of preservation practices (terrace, crop rotation and recovery of degraded soils), and replacement of native vegetation when recommended by the environmental license. |
Source: Interviews during fieldwork.
lease agreements, etc.”, “There are too many laws”, “It is very complex to follow the changes in the laws”, “It’s very expensive to maintain employees or outsourced companies only to keep up with changes in the laws”, “There are no qualified human resources or companies in the region that can provide adequate support in monitoring the laws.” Some interviewees complained about the high cost of environmental impact studies and expressed dissatisfaction with the state environmental agency: “Bureaucracy that makes environmental licensing difficult”, “There is a lack of information from the environmental agency.”
Regarding the adoption of good agricultural practices, most interviewees adopt practices based on no-tillage systems, perform soil sampling for evaluation of fertility and recommendation for fertilization, control soil quality and erosion, and replace native vegetation when required by the environmental license. However, integrated pest management is not yet a widespread practice due to the operational difficulty (monitoring and controlling introduced invasive species or new pests) in performing this practice adequately. Another issue the interviewees mention regards the low availability of skilled labor to carry out the management operations and the use of herbicides, fungicides and insecticides for the control of Helicoverpa armigera and Anthonomus grandis (boll weevil) on cotton. However, farms promote training to minimize this demand for skilled labor. The scale of the operation can be a restrictive factor for the adoption of some of these practices due to the associated operational costs. A study by Nassar et al. [
Regarding the risk control of environmental contamination, the interviewees stated that they are constantly measuring the quantity of water used and that they carry out evaluation and quality control processes for surface and groundwater. The interviewees stated that they have a prevention plan to avoid the drift of agrochemicals to neighboring areas and monitor climatic conditions (wind direction, humidity, rainfall, etc.), time of application (night), range of vegetation, application of land-based defensive equipment. However, no interviewee presented information on the procedures and/or methods employed. According to auditing reports, the lack of control regarding the risks of environmental contamination also applies to certified producers: “There is no evidence of appropriate scale monitoring to demonstrate that the practices are effective in minimizing diffuse and localized impacts on the quality of surface and groundwater due to chemical residues, fertilizers, erosion or other sources, and to encourage the recharging of aquifers” [
This study elucidates characteristics of the socio-environmental certification initiatives of the soybean chain in the Matopiba region of Brazil, which are guided by common motivations of the stakeholders: grain farms seek legitimacy, risk reduction and the valorization of their properties, and purchasing companies seek access to markets and international credit lines. Scale (size of the operation) is one of the factors that conform to the modalities or strategies of access to the soy environmental certification system. The fieldwork enabled the identification of three different strategies.
The first strategy involves initiatives based on multi-farm and medium-scale operations that focus on reducing the costs of certification and the nonindividualization of environmental commitments. Businesses that have chosen this strategy generally exhibit a high degree of informality in the control of operations as well as a lack of transparency and traceability of production processes, diffuse commitments/responsibilities and weak sustainability.
The second strategy (based on governance arrangements) has been subjected to standardized business models and high technology based operations. Such operations are more competitive, use cutting-edge technologies, seek the recovery of their lands and use computational platforms for the control and monitoring of the production process. These companies annually publish a sustainability report, adopt control codes that regulate most of the operational procedures and, consequently, offer better protection and traceability of their operations.
The third strategy refers to an arrangement of multiple farms integrated with a company or groups of companies with different scales of operations. The leading organization arranges specialized services, such as technical assistance, warehousing, transportation and multimodal logistics.
Barriers were also identified in this work. The main barriers are related to the costs on the process of identify and apply requirements to the practices and implementing controls, human resources and scale of the operation, and are presented on
The analysis of the present results enabled a better understanding of the socio-environmental certification of soybean production in the Matopiba region as well as the proposal of an initial framework identifying strategies and some related trends. However, it is necessary to deepen the characterization of this framework, scenarios, indicated trends, relationships, costs, difficulties and alternatives for producers. Mapping and understanding these scenarios, dynamics and constraints are essential to the identification of barriers regarding the role of the public sector in facilitating this process and coming up with models and strategies that can facilitate the socio-environmental certification process and thus increase the number of certified producers in the Matopiba region as well as other regions of Brazil.
The authors are grateful to FAPEMA for funding this research.
The authors declare no conflicts of interest regarding the publication of this paper.
de Freitas, A.C.R. and Buosi, T. (2018) Context and Challenges Regarding the Environmental Certification of Soy Production in the Matopiba Region of Brazil. American Journal of Industrial and Business Management, 8, 2086-2101. https://doi.org/10.4236/ajibm.2018.810138
Year | Production (ton) | Participation on Brazilian production (%) | |||
---|---|---|---|---|---|
Brazil | Matopiba region | Gerais de Balsas region | Matopiba region | Gerais de Balsas region | |
1990 | 19,897,804 | 260,638 | 3003 | 1.31 | 0.02 |
1991 | 14,937,806 | 460,797 | 7207 | 3.08 | 0.05 |
1992 | 19,214,705 | 516,003 | 13,893 | 2.69 | 0.07 |
1993 | 22,590,978 | 709,252 | 46,780 | 3.14 | 0.21 |
1994 | 24,931,832 | 1,082,015 | 81,199 | 4.34 | 0.33 |
1995 | 25,682,637 | 1,291,956 | 99,119 | 5.03 | 0.39 |
1996 | 23,166,874 | 874,049 | 97,667 | 3.77 | 0.42 |
1997 | 26,392,636 | 1,320,900 | 169,957 | 5.00 | 0.64 |
1998 | 31,307,440 | 1,651,387 | 220,565 | 5.27 | 0.70 |
1999 | 30,987,476 | 1,755,116 | 289,214 | 5.66 | 0.93 |
2000 | 32,820,826 | 2,208,221 | 319,688 | 6.73 | 0.97 |
2001 | 37,907,259 | 2,215,224 | 347,598 | 5.84 | 0.92 |
2002 | 42,107,618 | 2,361,061 | 396,956 | 5.61 | 0.94 |
2003 | 51,919,440 | 2,901,441 | 447,393 | 5.59 | 0.86 |
2004 | 49,549,941 | 4,309,803 | 583,387 | 8.70 | 1.18 |
2005 | 51,182,074 | 4,863,654 | 642,103 | 9.50 | 1.25 |
2006 | 52,464,640 | 4,209,519 | 565,194 | 8.02 | 1.08 |
2007 | 57,857,172 | 4,639,706 | 717,140 | 8.02 | 1.24 |
2008 | 59,833,105 | 5,723,866 | 751,564 | 9.57 | 1.26 |
2009 | 57,345,382 | 5,293,391 | 733,055 | 9.23 | 1.28 |
2010 | 68,756,343 | 6,295,111 | 814,585 | 9.16 | 1.18 |
2011 | 74,815,447 | 7,421,472 | 926,971 | 9.92 | 1.24 |
2012 | 65,848,857 | 7,372,474 | 986,166 | 11.20 | 1.50 |
2013 | 81,724,477 | 6,826,109 | 890,572 | 8.35 | 1.09 |
2014 | 86,760,520 | 8,664,902 | 1,091,044 | 9.99 | 1.26 |
2015 | 97,464,936 | 10,804,229 | 1,192,245 | 11.09 | 1.22 |
2016 | 96,296,714 | 7,066,662 | 562,029 | 7.34 | 0.58 |
Source: [
Year | Planted area of soy (ha) | Annual percentage variation on planted area (%) | ||||
---|---|---|---|---|---|---|
Brazil | Matopiba region | Gerais de Balsas region | Brazil | Matopiba region | Gerais de Balsas region | |
1999 | 13,069,793 | 825,389 | 117,767 | |||
2000 | 13,693,677 | 904,995 | 126,370 | 4.77 | 9.64 | 7.31 |
2001 | 13,988,351 | 1,048,263 | 150,312 | 2.15 | 15.83 | 18.95 |
---|---|---|---|---|---|---|
2002 | 16,376,035 | 1,232,485 | 168,677 | 17.07 | 17.57 | 12.22 |
2003 | 18,527,544 | 1,394,913 | 187,101 | 13.14 | 13.18 | 10.92 |
2004 | 21,601,340 | 1,574,420 | 216,774 | 16.59 | 12.87 | 15.86 |
2005 | 23,426,756 | 1,795,921 | 238,552 | 8.45 | 14.07 | 10.05 |
2006 | 22,082,666 | 1,817,113 | 239,050 | −5.74 | 1.18 | 0.21 |
2007 | 20,571,393 | 1,759,430 | 239,050 | −6.84 | −3.17 | 0.00 |
2008 | 21,252,721 | 1,909,612 | 250,525 | 3.31 | 8.54 | 4.80 |
2009 | 21,761,782 | 1,953,154 | 239,679 | 2.40 | 2.28 | −4.33 |
2010 | 23,339,094 | 2,208,973 | 291,505 | 7.25 | 13.10 | 21.62 |
2011 | 24,032,410 | 2,355,529 | 308,997 | 2.97 | 6.63 | 6.00 |
2012 | 25,090,559 | 2,529,124 | 315,603 | 4.40 | 7.37 | 2.14 |
2013 | 27,948,605 | 2,863,919 | 316,407 | 11.39 | 13.24 | 0.25 |
2014 | 30,308,231 | 3,300,064 | 399,894 | 8.44 | 15.23 | 26.39 |
2015 | 32,206,387 | 3,700,009 | 431,976 | 6.26 | 12.12 | 8.02 |
2016 | 33,309,865 | 3,729,161 | 427,996 | 3.43 | 0.79 | −0.92 |
Source: [
Country | Production (1000 t) | Participation on production worldwide (%) | ||
---|---|---|---|---|
Brazil | 1739.83 | 66.25 | ||
Matopiba region | 809.77 | 30.83 | ||
Maranhão | 478.70 | 18.23 | ||
Bahia | 106.88 | 4.07 | ||
Piaui | 224.19 | 8.54 | ||
Mato Grosso | 842.62 | 32.08 | ||
Goiás | 55.73 | 2.12 | ||
Mato Grosso do Sul | 19.83 | 0.76 | ||
Minas Gerais | 11.87 | 0.45 | ||
Argentina | 662.45 | 25.22 | ||
Paraguai | 64.12 | 2.44 | ||
China | 62.93 | 2.40 | ||
India | 54.27 | 2.07 | ||
Canadá | 30.15 | 1.15 | ||
USA | 8.19 | 0.31 | ||
Uruguai | 4.34 | 0.17 | ||
TOTAL | 2626 | 100 |
Source: [