Opportunities for value chain research in sugar industries

Higgins, Andrew; Thorburn, Peter J.; Archer, Ainsley; Jakku, Emma

doi:10.1016/j.agsy.2007.02.011

Cited by 80 publications

(76 citation statements)

References 33 publications

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“…Sin embargo, Renouf et al (2013) establecieron que, si bien la productividad creciente cañera es un requisito para proyectos de diversificación, deben considerarse los efectos derivados del uso de tierra adicional, agua, semilla cañera, agroquímicos y la maquinaria agrícola e industrial y los potenciales efectos de eutrofización, acidificación y contaminantes del aire y la ecotoxicidad por el uso de herbicidas y plaguicidas. El resto de factores: ciclo resoca, diversificación del ingreso cañero, tamaño de la unidad productiva y tenencia ejidal se relacionan, de acuerdo con Higgins et al (2007);Pérez (2007) y Windle y Rolfe (2003), como efectos a nivel micro en la potencial diversificación, y tienen que ver con las condiciones sociales, econó-micas y aun culturales de los productores y su comunidad, características físicas de la unidad productiva, insumos utilizados, fuentes de ingresos no agrícolas, infraestructura, acceso a servicios, como educación, capacitación, extensión y asistencia técnica, así como los atributos específicos del proyecto de diversificación en proceso o potencial a desarrollar en su mejor condición agroecológica y socioeconómica.…”

Section: Resultsunclassified

“…However, Renouf et al (2013) established that although increasing cane productivity is a requisite for diversification projects, the effects derived from the use of additional land, water, cane seed, agrichemicals and agricultural and industrial machinery should be taken into account, as well as the potential effects by eutrophication, acidification and air contaminants, and ecotoxicity from the use of herbicides and insecticides. The other factors, harvest cycle, diversification of the cane income, size of the productive unit and ejido ownership, are related, according to Higgins et al (2007);Pérez (2007) and Windle and Rolfe (2003), as effects at the micro level in the potential diversification, and they have to do with social, economic and even cultural conditions of the producers and their communities, the physical characteristics of the productive unit, the Cuadro 8. Índice de Diversificación de municipios cañeros y capacidad para diversificar su producción base (1=Alta capacidad, 0=nula, Media nacional 0.634).…”

Section: Resultsmentioning

confidence: 99%

“…That is, the sugar agroindustry at the regional and local levels need to identify the potential, through the valuation of resources and capacities, that it has or that it has access to (size and type of farm and producers, geographical location, improved commercial varieties, access to credit and irrigation, technology for extraction, experience in diversified production, etc.). When considering these factors and their specific weight in the diversifying process, local and regional scenarios could be imagined to maximize the production factors available, such as capital, labor, land and technology, to exploit its resources, experience and synergies with a positive impact on current and future profitability and economic viability, with the creation of new jobs in the rural sector and the companies, conserving non-renewable resources, and environmental as a result of mitigating greenhouse effect gases (GEGs), on the value chain of the sugar agroindustry based on experiences in other countries, as reported by Renouf et al (2013); Renouf (2011);Solomon (2011);Birch, (2007); Higgins et al, (2007), Roebeling et al, (2006) and Mirkov et al (2006).…”

Section: Materiales Y Métodosmentioning

confidence: 99%

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Índice de diversificación de la agroindustria azucarera en México

Aguilar‐Rivera

2014

ASYD

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ResumenEl objetivo del presente trabajo fue determinar un índice de diversificación de las zonas de abasto cañero y de las fábricas de azúcar de México mediante la metodología multi-criterio de Proceso Analítico Jerárquico (PAJ), en un ambiente de Sistemas de Información Geográfica. Al incorporar criterios o factores tecnológicos y socioeconómicos relacionados con el balance material y energético de las fabricas de azúcar y derivados, y de productividad de los campos cañeros, fue posible determinar, mediante la resolución de la matriz de Saaty, que el rendimiento de campo y el acceso a riego y crédito, y el rendimiento de fábrica, número de bienes producidos y calidad de materia prima directamente en los ingenios y en municipios cañeros determinan 76 % y 78 %, respectivamente, de la capacidad de diversificación de la agroindustria azucarera.Palabras clave: diversificación productiva, PAJ, zona de abasto cañero. IntRoduccIónE n este artículo se empleó el análisis o evaluación multi-criterio (EMC) de Jerarquías Analíticas como marco metodológico para la construcción de un índice de diversificación o indicador compuesto, en un contexto en que la reconversión de la agroindustria azucarera es el resultado de una secuencia de decisiones por diversos actores y su implementación como estrategia local de supervivencia o competitividad, debe llevarse a cabo analizando a priori el peso específico y la interacción entre criterios o factores tecnológicos, ambientales y socioeconómicos que condicionan su implementación.La evaluación multi-criterio se basa en indicadores económicos y ambientales, así como en la teoría de la AbstRActThe objective of this study was to determine a diversification index of the sugar cane supply zones and of sugar factories in México, through the Analytic Hierarchy Process (AHP) multi-criteria methodology, in an environment of Geographic Information Systems. When incorporating technological and socioeconomic criteria or factors related to the material and energetic balance of the sugar and byproduct factories, and of productivity from the sugar cane fields, it was possible to determine through the resolution of the Saaty matrix, that the field yield and access to irrigation and credit, and the factory yield, number of goods produced and quality of the raw materials directly from the sugar factories and the sugarproducing municipalities determine 76 % and 78 % of the diversification capital of the sugar agroindustry, respectively.

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Section: Resultsunclassified

Section: Resultsmentioning

confidence: 99%

Section: Materiales Y Métodosmentioning

confidence: 99%

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Índice de diversificación de la agroindustria azucarera en México

Aguilar‐Rivera

2014

ASYD

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“…The goal of these activities is to offer the customer a level of value that exceeds the cost of the activities, thereby resulting in a profit margin. The primary value chain activities are (Rieple and Singh, 2010): The value chain analysis has been implemented in various agro-product sectors such as organic cotton, sugar or wine industry (Higgins et al, 2007;Ponte and Ewert, 2009;Rieple and Singh, 2010). Different activities in value chain of Indian organic cotton were analyzed to realize where and how value is added in each stage of production.…”

Section: Value Chain Analysismentioning

confidence: 99%

Application of Value Chain Management to Longan Industry

Sopadang¹,

Tippayawong²,

Chaowarut³

2012

American Journal of Agricultural and Biological Sciences

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Longan plays an important role as an economic fruit of Thailand because of its volume and size in markets, both domestic and aboard. It was generally known that serious problems were encountered in current longan production and sale, especially the increased production cost. To understand the overall situation clearly, longan's supply chain was evaluated using the Supply Chain Operations Reference (SCOR) model and value chain analysis. In-depth interviews were conducted with 73 supply chain members, covering farmers, middlemen, process operators, transporters and exporters, located in Chiang Mai, Lamphun and Bangkok. Performance of the longan supply chain members were evaluated based on four categories, namely, inbound logistics, operations, outbound logistics and supporting activities. It was found that the exporters had the highest score in every aspect of performance criteria whereas the farmers had the lowest score, especially in the outbound logistics part. The findings also showed that the major problem of this supply chain was due to oversupply of longan. It was therefore recommended that the members in the supply chain should have to manage and control the quantity of longan, so that demand and supply are balanced as well as to add value to the longan products by increasing information share between members. Marketing campaign is also important to boost longan demand. By implementing operational best practice to each supply chain member, 25% reduction in waste may be achieved.

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“…Como descrito por Higgins et al (2007), para que soluções relacionadas à CS sejam adotadas nas CS de açúcar, é necessário que todos os elos sejam beneficiados. As empresas focais, por possuírem maior poder de mercado, tem incentivos para manter todos os benefícios para si.…”

Section: Dificuldades De Implementação Relacionadas a Csunclassified

Sistema de rastreabilidade para granéis sólidos agrícolas: o caso do açúcar.

Silva¹

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Food contamination events in the past decades have resulted in an increase of the agroindustrial supply chain consumers' traceability demands. Some of these demands became product import regulations. Traceability is related to product monitoring throughout the supply chain, allowing for the identification of critical quality control points. Currently, the supply chains of bulk agricultural products exported by Brazil have serious traceability problems: lot mixing; product theft; increase in the demand for information related to quality, origin, and processes; difficulty in identifying specific lots in the case of recalls; and lack of automatic and real time systems. The main objective of this research was to develop a traceability model for these chains which allowed for real-time data gathering and information access by its links. The methodology used was divided into four stages: systematic literature review, information gathering, traceability model development, and theoretical simulation model development. The aspects analyzed were related to cost, impact of regulating bodies, implementation bottlenecks, and criteria to be used to adapt the model to other chains. Due to its importance, the sugar supply chain was used as a case study. An analysis of the technologies available led to the choice of radiofrequency identification, because it facilitates monitoring product movement, besides wireless sensor networks, which will monitor the environmental variables in the product surroundings. If anomalies in relation to pre-established limits are detected, an alert signal will be sent to the agents in charge, allowing them to make decisions.The main contributions of this research are: the traceability model developed and the factors that have to be considered during its implementation, and the conceptual simulation model developed to estimate its impacts in terms of cost, time, and error frequency, in comparison to the current situation.

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Opportunities for value chain research in sugar industries

Cited by 80 publications

References 33 publications

Índice de diversificación de la agroindustria azucarera en México

Índice de diversificación de la agroindustria azucarera en México

Application of Value Chain Management to Longan Industry

Sistema de rastreabilidade para granéis sólidos agrícolas: o caso do açúcar.

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