Original scientific paper
https://doi.org/10.1080/1331677X.2023.2166555
Effects of ‘social’ environmental stability and entrepreneurial parameters in assessing the relationship among entrepreneurship, green innovation, and strategic orientation: an entrepreneur development of documentary
Fan Bu
Abstract
Sustainable entrepreneurship is essential for solving the issue of
economic and social stability. This paper is about the determinants
of entrepreneurship among green innovation and strategic innovation.
The research studies the communication and R&D variables
that impact entrepreneurship development. The literature shows
that green innovation is vital in developing strategic orientation.
Entrepreneurship must work on R&D to gain economic and social
stability. Entrepreneurship development is a dependent variable,
and communication and R&D are independent variables. This paper
evaluates the performance of Multiple Linear Regression (MLR) and
the Artificial Neural Network Regression (ANN) approach for estimating
entrepreneurship development (ED) in China from 2000 to
2021. For this work, nine independent variables related to entrepreneurial
development were selected, which include CO2 emissions
(CO2), GDP growth (GDP), Total greenhouse gas emissions (GHG),
Computer, communications, and other services (CCS), Nitrous oxide
emissions (NO2), Personal remittances, received (PRR), Research and
development expenditure (R&D), New businesses registered (NBR),
and patents in environment-related technologies (PERT). Data were
gathered from the World Bank (WB) official data bank portal. The
highest correlation (0.85 and 0.71) with ED was observed with
GHG, followed by a strong correlation with R & D. The MLR model
generated 0.78 R2 (error ¼ 0.26) whereas the ANN model produces
0.83 R2 (error ¼ 0.01). The results of the ANN showed that the association
among parameters is strong. Ten input variables and 15 hidden
neurons were used to estimate the dependent variable. The
process took 87 steps, and the optimum result had a Sum of Square
Error of 0.001.The top 5 essential variables are NO, NBR, GHG, R&D,
and CO2. The least essential variables are PPR and CCS, respectively,
with the lowest variable importance (VI) score. This work is unique
in the sense that it covers the research gap with new advanced
techniques (ANN) applied to time series data. We believe the idea
that we developed is a novel approach for social scientists, entrepreneurial
development, social stability, and a sustainable environment.
The findings of this research can benefit entrepreneurs in
many different ways. By understanding the effects of social environmental
stability on their success, entrepreneurs can better tailor
their strategies to ensure they get the best possible results.
Keywords
Entrepreneurship development; social stability; strategic innovation; sustainable environment; research and development
Hrčak ID:
314039
URI
Publication date:
17.5.2023.
Visits: 402 *