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. 2022 Dec 12;30(12):33992–34008. doi: 10.1007/s11356-022-24607-z

Table 1.

Review of past literature

S. No Authors Countries/region Data and methods Objectives/contributions Results/conclusions
1 Deng et al. (2022) BRICS

1991–2019

NARDL-PMG, FMOLS, DOLS

Studied the effect of REM on renewable energy usage (REC) and ecological sustainability (CO2) LR: FDI↑ CO2↑, LR: REM + ↑ REC↑, REM-↑ REC↑, LR: REM-↑ CO2
2 Zhang et al. (2022) Top 10 remittance-receiving countries

1990–2018

CUP-FM, CUP-BC

EKC hypothesis: evaluated the influence of REM and FDI on the ecological footprint (EFP) with economic growth and renewable (REC) and non-renewable energy (NRENV) REM↑ EFP↑, FDI↑ EFP↑, NRENV↑ EFP↑, REC↑ EFP↓. The turning point calculated using long-run regression was $1369
3 Jafri et al. (2022) China

1981–2019

ARDL, NARDL

The study examined the asymmetric effect of FDI and REM on CO2 LR and SR: REM + ↑ CO2↓, REM-↑ CO2↓, FDI + ↑ CO2↑, FDI-↑ CO2↑, ΔFDI +  > ΔFDI-
4 Mohsin et al. (2022) European and Central Asian countries

1971–2016

ARDL

Determined the relationship between sustainable environment (CO2), EC, REM, GDP, and FDI LR: GDP↑ CO2↓, SR: GDP↑ CO2↑, GDP → CO2, CO2 → EC, CO2 → FDI
5 Khan et al. (2020d) BRICS

1986–2016

CCEMG and FM-LS

Researched the possible link between REM, FDI, GDP, energy use (EC), and CO2 REM↑CO2↑, FDI↑CO2↑. The study is supporting the pollution haven hypothesis. The energy consumption promotes the energy-led emanation phenomenon. REM ↔ CO2
6 Rani et al. (2022) SAARC

1990–2020

FMOLS, DOLS, FE-OLS

Studied the causal linkage between energy consumption (EC), financial development (FD), and CO2 emissions using remittances (REM) as a GDP instrument REM↑CO2↑, FD↑CO2↑, EC↑CO2↑, GDP↑CO2
7 Itoo & Ali (2022) India

1980–2018

ARDL, FMOLS, DOLS, CCR

Examined the impact of NREC, remittances and GDP on CO2 REM↑ CO2↑. The study is not supporting EKC hypothesis
8 Islam (2022) Top eight remittance-receiving countries

1980–2018

GLS, PMG, D-H panel causality

The study investigated the environmental effect of remittances LR: REM + ↑ CO2↓, REM-↑ CO2↓, most of the variables have a bidirectional causality
9 Zafar et al. (2022) Top 22 remittance-receiving countries

1986–2017

CUP-FM, CUP-BC, GQR

The study estimated the dynamic linkage between remittances, renewable energy consumption, economic growth, and CO2 REM↑ CO2
10 Mahalik et al. (2021) India

1978–2014

ARDL

The relative impact of remittances and overall aid and energy aid on CO2 is examined REM↑CO2↓, FDI↑CO2
11 Ahmad et al. (2022) Pakistan

1980–2018

ARDL, NARDL

The study investigated whether REM has a symmetric or asymmetric impact on CO2 emissions LR and SR: REM + ↑ CO2↑, REM-↑ CO2↑, ΔREM +  > ΔREM-
12 Neog & Yadava (2020) India

1980–2014

ARDL, NARDL

The study determines the asymmetric relationship between CO2, REM, and FD LR: REM + ↑ CO2↑, REM-↑ CO2
13 Yang et al. (2020) 97 countries

1990–2016

GMM

The study analyzed the influence of REM, EC, FD, urbanization, trade (T), globalization (KOF index), and GDP on CO2 REM↑ CO2↑, EC↑ CO2↑, KOF↑ CO2↓. The study is suggesting strict market regulations and monitoring for environmentally friendly production technologies and renewable energy sources
14 Rehman et al. (2019) Top six Asian remittance-receiving countries

1982–2014

ARDL

Investigated the relationship among REM, FDI, EC, and CO2 LR and SR: EC↑ CO2↑, LR: REM↑ CO2↑ (Sri Lanka, Pakistan, Philippines, Bangladesh), LR: FDI↑ CO2↑ (China, India, and Sri Lanka). The relationship between international capital flows and CO2 differs across countries
15 Ahmad et al. (2019) China

1980–2014

ARDL, NARDL

The study determined the environmental effect of remittances LR: REM + ↑ CO2↑, REM-↑ CO2
16 Sharma et al. (2019) Nepal

1971–2013

ARDL

The study investigated the impact of remittances and economic growth on CO2 REM↑CO2↓, GDP↑CO2