Cunico, Eliana; Cirani, Claudia Brito Silva; Lopes, Evandro Luiz; Jabbour, Charbel José Chiapetta

doi:10.1016/j.rausp.2016.09.006

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Sumário

Sustainability • Rev. Adm. (São Paulo) 52 (1) • Jan-Mar 2017 • https://doi.org/10.1016/j.rausp.2016.09.006 copiar

Eco-inovação e cooperação tecnológica em indústrias processadoras de mandioca: modelagem de equações estruturais

Autoria SCIMAGO INSTITUTIONS RANKINGS

Resumo

A geração de riqueza, sustentada pelas atividades produtivas das agroindústrias, leva à produção de resíduos e utiliza os recursos naturais, interferindo no pilar ambiental da sustentabilidade. O objetivo deste estudo é investigar se as empresas processadoras de mandioca geram ecoinovações por meio de cooperação tecnológica e o grau de participação dos agentes nessas interações. O método quantitativo, utilizou-se da Modelagem de Equações Estruturais para análise de dados. Os resultados indicaram uma relação entre a cooperação tecnológica e a geração de ecoinovação. O modelo desenvolvido mostrou a significância entre variáveis e expôs os principais aspectos que promovem a ecoinovação a partir da cooperação. O projeto de cooperação permitiu a redução na queima de combustíveis fósseis, a redução na emissão de gás metano que agrava o efeito estufa, a redução do odor e, finalmente, proporcionou ganhos financeiros para o agronegócio.

Palavras-chave
Modelagem de Equações Estruturais; Agroindústrias; Produção limpa; Cooperação tecnológica

Indicators of independent variables	n = samples	Mean	Standard deviati on	KS test of Kolmogorov– Smirnov	VIF
Low product eco-innovati on rate	33	6.00	3.588	1.127	2.556
Low process eco-innovation rate	33	6.97	3.046	1.160	2.500
High product eco-innovation rate	33	2.15	3.554	2.090	3.130
High process eco-innovation rate	33	2.85	3.751	1.848	3.388
Enterprise or group cooperation	33	8.42	2.851	1.814	1.998
Government cooperation	33	3.97	3.423	1.208	3.771
University cooperation	33	4.00	3.391	0.883	2.929
Client cooperation	33	3.88	3.160	0.874	3.412
Suppliers cooperation	33	6.15	3.318	1.127	3.469
Competitors cooperation	33	2.85	2.863	1.345	1.818
Environmental consult ancy cooperation	33	6.79	3.314	1.429	3.304

Variable	Description of the question
Low product eco-innovation rate	Did the company introduce a new or significantly enhanced product (goods or service) with the aim to minimize environmental impact, BUT THAT ALREADY EXISTED in the domestic market?
Low process eco-innovation rate	Did the company introduce a new or significantly improved PROCESS with the aim to minimize environmental impact, BUT THAT ALREADY EXISTED in the domestic market?
High product eco-innovation rate	Did the company introduce a new or significantly enhanced product (goods or service) with the aim to minimize environmental impact, BUT THAT DID NOT YET EXIST in the domestic market?
High process eco-innovation rate	Did the company introduce a new or significantly improved PROCESS with the aim to minimize environmental impact, BUT THAT DID NOT YET EXIST in the domestic market?

Variable	Description of the question
Enterprise or group cooperation	Did the company itself or another company from the group develop projects internally in the company or even with other companies of the group?
Government cooperation	Did the public sector through government incentives provide innovation generation due to resources and government incentives?
University cooperation	Did partnerships with universities and/or research institutes generate innovation?
Client cooperation	Did suggestions and partnerships with clients or consumers generate innovations?
Suppliers cooperation	Did partnerships with suppliers generate innovations?
Competitors cooperation	Did partnerships with competitors generate innovations?
Environmental consultancy cooperation	Did partnerships with environmental consulting companies generate innovations?

Constructs	Low eco-innovation rate	High eco-innovation rate
Square root	0.330	7.8%
Beta	0.575	28%

Constructs	AVE	Composed reliability	R ²	Cronbach's alpha	Redundancy
Technological cooperation	0.534	0.887		0.853
Low eco-innovation rate	0.888	0.940	0.078	0.873	0.069
High eco-innovation rate	0.834	0.909	0.331	0.802	0.274

Paths	Original loads	Mean loads with 200 repetitions	Standard deviation	Standard error	T test	Significance
Enterprise cooperation → Technological cooperation	0.55	0.52	0.18	0.18	2.98	p < 0.1%
Government cooperation → Technological cooperation	0.82	0.78	0.12	0.12	6.63	p < 0.1%
Client cooperation → Technological cooperation	0.80	0.78	0.11	0.11	7.48	p < 0.1%
University cooperation → Technological cooperation	0.75	0.73	0.15	0.15	5.11	p < 0.1%
Supplier cooperation → Technological cooperation	0.80	0.78	0.13	0.13	6.08	p < 0.1%
Competitor cooperation → Technological cooperation	0.56	0.54	0.15	0.15	3.79	p < 0.1%
Environment consultancy cooperation → Technological cooperation	0.78	0.78	0.10	0.10	7.98	p < 0.1%
Low product eco-innovation rate	0.85	0.83	0.12	0.12	7.17	p < 0.1%
Low process eco-innovation rate	0.85	0.84	0.12	0.12	7.13	p < 0.1%
High product eco-innovation rate	0.67	0.63	0.19	0.19	3.51	p < 0.1%
High process eco-innovation rate	0.69	0.65	0.19	0.19	3.63	p < 0.1%
Technological cooperation → Eco-innovation	0.55	0.61	0.09	0.09	5.96	p < 0.1%

Departamento de Administração da Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo Avenida Professor Luciano Gualberto, 908, sala F184, 05508-900 São Paulo / SP Brasil, Tel./Fax 55 11 3818-4002 - São Paulo - SP - Brazil
E-mail: rausp@usp.br

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[1] * Corresponding author at: Avenida Ministro Cirne Lima, 2565, 85.903-590 Toledo, PR, Brazil. E-mail:eliana.cunico@fasul.edu.br (E. Cunico).