Contracting in the Biofuel Sector

Du, Xiaoxue; Khanna, Madhu; Lu, Liang; Yang, Xi; Zilberman, David

doi:10.1007/978-1-4939-6906-7_16

Cited by 4 publications

(6 citation statements)

References 38 publications

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“…In golf tourism, it is likely that tourists' social norms affect their behavioral intentions (Song et al, 2017). These norms could measure the impacts of the social environment on individual behavior, and perceived behavioral controls can further explain individuals' belief in their ability and future behavior (Du et al, 2015(Du et al, , 2016(Du et al, , 2017. This study has considered golfers' characteristics (e.g., golf-playing frequency and experience) but not their motivations.…”

Section: Implications For the Industrymentioning

confidence: 99%

Modeling Golfers’ Revisit Intention: An Application of the Theory of Reasoned Action

Song

Chen

Zeng

et al. 2021

Journal of Hospitality & Tourism Research

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Based on the theory of reasoned action, this study examines the factors that affect the revisit intention of Chinese golfers. It focuses on the mediating effects of place attachment on the golfers’ perception of golf-course employee attitudes and destination distinctiveness. To test the conceptual model, a survey of 494 Chinese golfers was conducted using factor analyses and structural equation modeling. The article further applied a bootstrapping method to test the mediating effects of place attachment. The results indicate that the revisit intention was influenced by the golfers’ perceptions of employee attitudes, destination distinctiveness, and place attachment. It was also found that place attachment mediated these relationships. Finally, the theoretical contributions and industrial implications were discussed.

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Section: Implications For the Industrymentioning

confidence: 99%

Modeling Golfers’ Revisit Intention: An Application of the Theory of Reasoned Action

Song

Chen

Zeng

et al. 2021

Journal of Hospitality & Tourism Research

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“…We foresee future research in this area that not only use Big Data more intensively but also expand the scope of research into topics for which the analysis tools described in this review have not been used, such as agricultural contracts (Du et al, 2015(Du et al, , 2017, the evolution of nutrition (Fan et al, 2020), environmental economics (Li et al, 2020), production forecasts (Zhang et al, 2020a), the economics of supply chain (Min et al, 2020;Reardon et al, 2019), rural household welfare (Rao, 2019;Su et al, 2020), technology adoption (Hurley et al, 2014;Tejeda et al, 2020), sustainability (Engida et al, 2020) and risk analysis (Aderajew et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

How agricultural economists are using big data: a review

Guang

Hatzenbuehler

2022

CAER

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PurposeThe purpose of this paper is to describe the main ways in which large amounts of information have been integrated to provide new measures of food consumption and agricultural production, and new methods for gathering and analyzing internet-based data.Design/methodology/approachThis study reviews some of the recent developments and applications of big data, which is becoming increasingly popular in agricultural economics research. In particular, this study focuses on applications of new types of data such as text and graphics in consumers' online reviews emerging from e-commerce transactions and Normalized Difference Vegetation Index (NDVI) data as well as other producer data that are gaining popularity in precision agriculture. This study then reviews data gathering techniques such as web scraping and data analytics tools such as textual analysis and machine learning.FindingsThis study provides a comprehensive review of applications of big data in agricultural economics and discusses some potential future uses of big data.Originality/valueThis study documents some new types of data that are being utilized in agricultural economics, sources and methods to gather and store such data, existing applications of these new types of data and techniques to analyze these new data.

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“…Desta forma, as estruturas de governança podem vir a dependerem da estrutura fundiária onde a biorrefinaria está instalada, consequentemente influenciará a preferência de riscos do fornecedor e da biorrefinaria, qualidade da terra em relação aos índices de biomassa celulósica, a interferência dos preços e demanda para a escolha de produção, perfil do fornecedor e de outras restrições, como por exemplo: riscos imensuráveis, restrições de mercado, legislação de produção, incertezas desse segmento, custos de transação, incentivos governamentais. Esses fatores favorecendo, possivelmente, a escolha da estrutura de governança da integração vertical, na qual a biorrefinaria utiliza bagaço e palha para etanol de segunda geração (E2G) (DU, et al, 2017;HOSSISO;LAPORTE;RIPPLINGER, 2017;CICOGNA;ZILBERMAN, 2017;RODRIGUEZ;MANOCHIO;MORAES, 2018;GAVA, et al, 2019).…”

Section: Abm -Agentunclassified

“…Para compreensão inicial, as estruturas de governança no setor da agricultura são, em suma, diferenciadas a partir do domínio da terra, tomada de decisão produtiva e processo utilizado de produção, como afirmam Allen e Lueck (2002) e Du, et. al.…”

Section: Contratos No Setor Agrícolaunclassified

Estrutura de governança

Cetimia Mariotti Ruiz

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From the increase in demand for renewable energy sources disseminated by the debate linked to the need for sustainable development of nations, justified by the fact that more and more non-renewable energy sources are in a state of scarcity, in addition to the environmental problems of greenhouse gas emissions. pollutants and economic problems of the need for nations to reduce their dependence on energy. The development of renewable energy alternatives at technical and organizational levels is essential to achieve the sustainable objectives determined by international agreements. In the specific case of Brazil, the production of biofuels derived from sugarcane is already a reality, however, it is noted that the production of sugarcane in Brazil has grown both in the advancement of the area and in productivity, but there are limits to the growth of your production. Thus, sugarcane biomass can be better used, from bagasse and straw, for the production of second generation ethanol (2G) and other products, by a biorefinery. However, the development of a biorefinery faces the challenges posed by industrial construction, spatial heterogeneity in the production and composition of biomass, the cost of coordinating the supply chain and the regulatory environment. The objective of the study is to explore the mechanisms that lead biorefineries to select a specific type of governance structure for the supply of lignocellulosic biomass, using the Principal Agent Based Model method. Starting with the understanding of the evolution of the Brazilian regulatory / institutional environment for ethanol, exploration of the concepts and agents involved in the production of second generation ethanol and the understanding of supply contracts already practiced in the sugar-energy sector. The development of the study is based on the premises of the main agent-based model to understand rules of behavior between biorefinery and suppliers. The results from the Conceptual Framework of the model of interaction between suppliers and biorefineries show that the institutional environment of first generation ethanol in Brazil influences the organization of the biomass supply chain, as the main pricing parameter is institutionally established between suppliers and producers. Thus, for the production of second generation ethanol, the verticalized governance structure would be the priority strategy for minimizing risks in the search for return on investment. Therefore, stakeholders tend to define the optimized level of verticalization according to the supply of raw material produced on their own land, necessary to reach the threshold of equilibrium for investment. In addition to this threshold, the raw material originates from leased land, and then from third-party suppliers, such as shareholders and independent producers, and the search for raw material in the spot market is an exception.

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Contracting in the Biofuel Sector

Cited by 4 publications

References 38 publications

Modeling Golfers’ Revisit Intention: An Application of the Theory of Reasoned Action

Modeling Golfers’ Revisit Intention: An Application of the Theory of Reasoned Action

How agricultural economists are using big data: a review

Estrutura de governança

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