Forecasting green financial innovation and its implications for financial performance in Ethiopian Financial Institutions: Evidence from ARIMA and ARDL model

IF 1
Goshu Desalegn, A. Tangl
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引用次数: 7

Abstract

Green innovation is the creation of new and competitive products, services, processes, procedures and systems designed to use natural resources at a minimum level and to provide better quality of life on behalf of all that respects sustainability of the nature and of the future generations. The study objective was to examine the relationship between green innovation and financial performance. The study used an explanatory research design and a quantitative research approach to achieve the study's objective. Secondary time series data collected quarterly during the study period (2014–2020) was utilized to run the regression model. Autoregressive moving average (ARIMA) was used to forecast the growing level of green financial innovation transactions, and autoregressive distributed lag model (ARDL) was used to examine the effect of green financial innovation transactions on financial performance. According to forecasted results, on average green financial innovation transaction is expected to grow by 11 percent each quarter, and its impact on financial performance is found positive and significant in the short run. However, the long-run estimation of ARDL shows the positive and insignificant effect of green financial innovation on financial performance. Based on the study's findings, we recommend that the banking sector focuses on adopting green financial innovations to improve financial performance by taking into account both the short-run and long-run benefits of the products. At the same time, we suggest that the sector focus on those green financial innovations which have the lowest adoption and development costs compared to others since the long-run effect affects the overall financial performance of the sector. The main contribution of this study is to provide future indication on the relationship between the two variables in order to provide proper decision making in a bid to make green innovation investment.
预测绿色金融创新及其对埃塞俄比亚金融机构财务绩效的影响:来自ARIMA和ARDL模型的证据
绿色创新是创造新的和有竞争力的产品、服务、过程、程序和系统,旨在以最低的水平使用自然资源,并代表所有人尊重自然的可持续性和子孙后代提供更好的生活质量。研究的目的是检验绿色创新与财务绩效之间的关系。本研究采用解释性研究设计和定量研究方法来实现研究目标。利用研究期间(2014-2020年)每季度收集的二次时间序列数据运行回归模型。采用自回归移动平均(ARIMA)预测绿色金融创新交易的增长水平,采用自回归分布滞后模型(ARDL)检验绿色金融创新交易对财务绩效的影响。根据预测结果,绿色金融创新交易预计每季度平均增长11%,其对财务绩效的影响在短期内是积极和显著的。然而,对ARDL的长期估计表明,绿色金融创新对财务绩效的影响为正且不显著。根据研究结果,我们建议银行业重点采用绿色金融创新,同时考虑产品的短期和长期效益,以提高财务绩效。与此同时,我们建议该行业将重点放在那些采用和开发成本最低的绿色金融创新上,因为其长期效应会影响该行业的整体财务绩效。本研究的主要贡献在于对这两个变量之间的关系提供未来的指示,以便为绿色创新投资提供适当的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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