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The Relationship between Green Innovation, Social Entrepreneurship, and Sustainable Development
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The Relationship between Green Innovation, Social Entrepreneurship, and Sustainable Development
The Relationship between Green Innovation, Social Entrepreneurship, and Sustainable Development
Journal Article

The Relationship between Green Innovation, Social Entrepreneurship, and Sustainable Development

2020
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Overview
Economic growth is one of the important objectives of economic policy due to the beneficial effects it has on employment and economic well-being. The work carried out in the last few decades has highlighted the roles that entrepreneurship and innovation play in promoting this objective. However, the environmental deterioration resulting from policies implemented to stimulate growth has led to considerations of other objectives that are more compatible with the defense of the environment, such as sustainable development. Therefore, it is important to determine the factors that stimulate them. This paper considers traditional and social entrepreneurship and innovations and green innovation. The effect of institutions as generators of legal and economic environments on both types of entrepreneurship is contemplated. On the other hand, considering the possibility of “bidirectional causality”, the relationship between both types of entrepreneurship and institutions is also analyzed. This will allow us to design measures aimed at stimulating sustainable development. The objective of this paper is to analyze these relationships through two estimates: first, an analysis of the relationship between both types of entrepreneurship and innovations and sustainable development and second, the relationship between social and traditional entrepreneurship and institutions. In both cases, the path coefficient of each of them is compared with respect to the final objective, which would be useful when designing economic policies. Empirical analysis is carried out, producing an estimation of the structural equation modeling (SEM) model using the partial least squares (PLS) technique in the case of 20 Organization for Economic Co-operation and Development (OECD) countries.