评价选定的金融指标对孟加拉国外国直接投资的影响:一种非线性建模方法。

Q2 Environmental Science
The Scientific World Journal Pub Date : 2025-04-18 eCollection Date: 2025-01-01 DOI:10.1155/tswj/4406958
Md Sifat Ar Salan, Akher Ali, Ruhul Amin, Afroza Sultana, Mahabuba Naznin, Mohammad Alamgir Kabir, Md Moyazzem Hossain
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引用次数: 0

摘要

背景:外国直接投资(FDI)是资本流动的坚定贡献者,在推动经济发展和成为孟加拉国融资增长的关键途径方面发挥着不可或缺的作用。因此,本研究确定了影响孟加拉国外国直接投资流入的因素。此外,作者还通过比较其他模型的预测效果,探索了更合适的FDI预测模型。方法:本研究基于1973年至2021年期间的二手数据,并从世界银行公开访问的网站收集。采用广义加性模型(GAM)来描述合适样条曲线。采用改进的r平方、贝叶斯信息准则(BIC)和赤池信息准则(AIC)对模型的性能进行评价。结果:研究结果描述了孟加拉国的FDI与主要经济指标之间的显著非线性关系,包括GDP、贸易开放程度、外债、资本形成总额、国民总收入(GNI)和政府汇率、总储备和总自然资源租金。GAM (r2 = 0.987, AIC = 608.03, BIC = 658.28)在预测FDI方面优于多元线性回归和多项式回归,说明GAM在捕捉复杂关系和提高预测精度方面具有优势。结论:FDI与本研究考虑的协变量之间存在非线性关系。作者认为,本研究的结果将有助于采取有效的外国直接投资管理举措和积极主动的经济指标优化,以增强孟加拉国的经济弹性,促进可持续增长。分析表明,外商直接投资及其相关风险因素具有非线性特征。该研究建议使用GAM回归作为预测孟加拉国FDI的可靠方法。作者认为,这些发现可以指导决策者制定战略,以增加外国直接投资流入,刺激经济增长,并确保孟加拉国的可持续经济发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the Impact of Selected Financial Indicators on Foreign Direct Investment in Bangladesh: A Nonlinear Modeling Approach.

Background: Foreign direct investment (FDI) is a steadfast contributor to capital flows and plays an indispensable role in driving economic advancement and emerging as a pivotal avenue for financing growth in Bangladesh. Therefore, this study identifies the factors that influence FDI inflows in Bangladesh. Moreover, the authors explored the more appropriate model for predicting FDI by comparing the efficacy of other models' predictions. Methods: This study is based on secondary data over the period 1973 to 2021 and collected from the publicly accessible website of the World Bank. A generalized additive model (GAM) was implemented for describing the proper splines. The model's performance was assessed using the modified R-squared, the Bayesian information criterion (BIC), and the Akaike information criterion (AIC). Results: Findings depict a significant nonlinear relationship between Bangladesh's FDI and key economic indicators, including GDP, trade openness, external debt, gross capital formation, gross national income (GNI) and government rates of exchange, total reserves, and total natural resource rent. It is also observed that the GAM (R 2 = 0.987, AIC = 608.03, and BIC = 658.28) outperforms multiple linear regressions and polynomial regression in predicting FDI, emphasizing the superiority of GAM in capturing complex relationships and improving predictive accuracy. Conclusion: A nonlinear relationship is observed between FDI along with the covariates considered in this study. The authors believed that this study's findings would assist in taking efficient initiatives for FDI management and proactive economic indicator optimization to empower Bangladesh's economic resilience and foster sustainable growth. The analysis revealed that FDI and its related risk factors follow a nonlinear pattern. The study recommends using the GAM regression as a reliable method for predicting FDI in Bangladesh. The authors suggest that the findings can guide policymakers in developing strategies to increase FDI inflows, stimulate economic growth, and ensure sustainable economic development in Bangladesh.

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来源期刊
The Scientific World Journal
The Scientific World Journal 综合性期刊-综合性期刊
CiteScore
5.60
自引率
0.00%
发文量
170
审稿时长
3.7 months
期刊介绍: The Scientific World Journal is a peer-reviewed, Open Access journal that publishes original research, reviews, and clinical studies covering a wide range of subjects in science, technology, and medicine. The journal is divided into 81 subject areas.
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