This study analyzes seven bioeconomy sectors with the aim of establishing the leading contributing sectors to gross domestic product (GDP), and also determines the future relationship between bioeconomy and the national economy in Japan. We use data from World Input–Output Database (WIOD), International Renewable Energy Agency (IRENA), and the World Bank Group for this analysis. First, we use principal component analysis (PCA) techniques to identify the bioeconomy sectors that contribute significantly to the national economy. We find through the PCA that all the bioeconomy sectors that we analyzed contribute almost uniformly and significantly to the national economy. We also find forestry and wood sectors to be the most significant contributing bioeconomy sectors. We use the autoregressive distributed lag (ARDL) bounds test to prove the existence of short-run and long-run relationships between bioeconomy and gross domestic product (GDP). We finally use the vector error correction Granger causality model to establish a bicausality between bioeconomy and GDP in the long-run, but not in the short-run.

The global energy transformation is moving forward slowly, along with the continent of Africa. Although the momentum developed thus far is encouraging, there is an increasing need for transformative solutions to lessen climate change and its effects on the continent. In this article, we analyze the connection between green growth, entrepreneurship, and their effects on sustainable development in South Africa using the Quintuple Helix Innovation Model (QHIM). Hence, the purpose of the study is to foster the need for entrepreneurship and green growth for sustainable development. The quintuple helix model’s (QHIM) theoretical premise that the natural environment of society and the economy are the two fundamental factors behind innovation and the understanding that a knowledge economy requires sustainable growth are mainly supported by our findings. We accomplish this study by determining which entrepreneurial and green growth dimensions should be prioritized, respectively. Using ordinary least squares (OLS) and generalized linear model (GLM) we examine the association. We measured green growth with two main indicators which are environmental resource productivity and natural capital. Entrepreneurship was measured using entrepreneurial activity and entrepreneurial attitudes. Our findings revealed that more attention needs to be geared towards natural capital and entrepreneurial activity in South Africa. Decision-makers and the government will utilize the study’s findings as a guide for the zealous implementation of stated policies; recommendations are also highlighted in this study.

There is a growing recognition in South Africa that social enterprises can and do create the most jobs because it focuses on solving social problems and establishing economic sustainability. This article was based on a conceptual analysis aimed at assessing the development of social entrepreneurship in South Africa, as well as its prevalence and influence. We analyzed why social entrepreneurship has grown in importance and popularity in South Africa, as well as its relevance, and whether it has come to stay in South Africa. We also highlighted that the most common sources of finance for most South African social entrepreneurs are sales of goods and services, government grants, membership fees, and corporate social investment. This paper further highlighted some challenges faced by social entrepreneurs such as grant funding, which is the second major source of funding for these enterprises as well as a lack of proper buildings and equipment.