چکیده
مقدمه
مروری بر مطالعات پیشین
مشخصات مدل، داده ها، و تجربی
روش شناسی
نتایج و بحث
نتیجه گیری و پیامدهای سیاسی
منابع
Abstract
Introduction
Literature review
Model specification, data, and empirical
methodology
Results and discussion
Conclusion and policy implication
References
چکیده
این مطالعه به بررسی تاثیر جریان حواله ورودی و سرمایه گذاری مستقیم خارجی بر ردپای اکولوژیکی در ده کشور برتر دریافت کننده حواله در حضور رشد اقتصادی و انرژی های تجدیدپذیر و غیر قابل تجدید در چارچوب فرضیه منحنی کوزنتس زیست محیطی (EKC) در طول دوره زمانی می پردازد. 1990-2018 با استفاده از برآوردگرهای اصلاح شده به طور مداوم به روز شده (CUP-FM) و به طور مداوم به روز شده با تعصب تصحیح شده (CUP-BC). نتایج نشان میدهد که جریان وجوه ورودی، سرمایهگذاری مستقیم خارجی و استفاده از انرژیهای تجدیدناپذیر تأثیر مثبتی بر ردپای اکولوژیکی دارد در حالی که استفاده از انرژیهای تجدیدپذیر تأثیر منفی بر ردپای اکولوژیکی دارد. این مطالعه همچنین از فرضیه پناهگاه آلودگی و فرضیه EKC U شکل معکوس پشتیبانی می کند. نقطه عطف به دست آمده از رگرسیون بلندمدت تقریباً 1368.65 دلار خارج از دوره نمونه بود. علاوه بر این، نتایج برای تجزیه و تحلیل های مختلف استحکامی که ما برای بازرسی قابلیت اطمینان یافته های اصلی خود اجرا کرده ایم، قوی هستند. در نهایت، این مطالعه پیامدهای سیاست مهمی را با توجه به کشورهای برتر دریافت کننده حواله ارائه می کند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
This study examines the impact of remittance inflow and foreign direct investment on ecological footprint in top ten remittance-receiving counties in the presence of economic growth and renewable and non-renewable energy under the framework of environmental Kuznets curve (EKC) hypothesis over the period of 1990-2018 by employing the continuously updated fully modified (CUP-FM) and the continuously updated bias-corrected (CUP-BC) estimators. The results show that remittance inflow, foreign direct investment, and non-renewable energy utilization affect the ecological footprint positively while renewable energy utilization negatively impacts on ecological footprint. This study also supports the pollution haven hypothesis and inverted U-shaped EKC hypothesis. The turning point obtained from long-run regression was found to be approximately $1368.65 outside of the sample period. Besides, the results are robust to various robustness analyses that we have executed for inspection of the reliability of our main findings. Finally, this study presents important policy implications with respect to the top remittance-receiving countries.
Introduction
Today rethinking environmental regulation remains at the forefront of academic debate and social media. Already, many researchers and scientists have warned that if the level of pollution continued, this might attract physical risk, reduce productivity, and prolong economic growth. Meanwhile, the International Panel on Climate Change (IPCC) has made a serious effort to promote environmental sustainability by strengthening regulations that will reduce carbon dioxide (CO2) emissions (IPCC 2019). Despite the commitment of the IPCC, the optimal reduction in carbon emissions is far from being achieved. What is unclear is whether the success of the IPCC in ensuring compliance has led to the increase in carbon emissions or perhaps, the major carbon-emitting nation failed to promote environmental quality. In the existing literature, many scholars such as Ozturk (2017), Yang et al. (2020), Lv and Li (2021), Shen et al. (2021), (Jahanger et al. 2021a), Safi et al. (2021), Ozturk and Al-Mulali (2015), Ozturk et al. (2021), Ozturk and Acaravci (2010), and Farhani and Ozturk (2015) have used CO2 emission as an indicator of environmental quality. However, CO2 emissions as a proxy of environmental degradation do not cautiously affect the resources, i.e., gas, oil, forest, soil, and fishing (Usman and Jahanger 2021). In this situation, ecological footprint (EFP) is broadly known as a more inclusive proxy of environmental decay (Yang et al. 2021a, b, c; Usman et al. 2020a, b, c; AlMulali and Ozturk 2015).
Conclusion and policy implication
This study examines the relationship between globalization, economic growth, renewable and non-renewable energy utilization, foreign direct investment, and ecological footprint for the top remittance-receiving countries using panel data from 1990 to 2018. This study applies second-generation techniques to test the associations among the concern variables. We apply four cross-sectional dependence (CSD) techniques to investigate the CSD among the said variables. From a stationarity point of view, this study using CIPS approach of panel unit root tests and Westerlund’s (2007) panel ECM applied to check the long-run equilibrium among the variables. The long-run cointegration relationship was investigated through the continuously updated fully modified (CUP-FM) and continuously updated bias-corrected (CUP-BC) method. For country-wise long relationship explored through FMOLS approach, Dumitrescu-Hurlin panel causality test applies to verify the casual association among the said variables.