| Title |
Attaining sustainable business performance via eco-innovation under ecological regulatory stringency and market turbulence |
| ID_Doc |
78267 |
| Authors |
Larbi-Siaw, O; Hu, XH; Donkor, DO |
| Title |
Attaining sustainable business performance via eco-innovation under ecological regulatory stringency and market turbulence |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.jclepro.2023.136404 |
| Abstract |
The study examines approaches wherein two external factors spur Ghanaian firms to eco-innovate: ecological regulatory stringency and market turbulence. The study's conceptual framework is evaluated using survey data from 513 Ghanaian manufacturing firms using a hybrid Partial Least Square-Structural Equation Model and Arttificial Neural Network technique, which provides support to the proposed hypothesis. Thus, by dividing eco-innovation into product eco-innovation and process eco-innovation, we infer that ecological regulation stringency improves sustainable business performance primarily through process eco-innovation instead of product eco-innovation and market turbulence has a greater impact on sustainable business performance through product eco-innovation as opposed to process ecoinnovation. Our research adds to the literature on eco-innovation and green economy by providing a comprehensive framework for measuring a firm's pursuit of eco-innovation and sustainability in response to government and market pressures. We conclude by providing theoretical, methodological and practical implications. |
| Author Keywords |
Eco-innovation; Sustainable business performance; Ecological regulation stringency; Market turbulence; Artificial neural networks |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000942558600001 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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