Abstract

Remittances inflow plays a significant role in promoting the economic welfare of a country; it has a multidimensional effect on the economy and links with the carbon emissions. This study examines the possible asymmetric transmissions from remittances to carbon dioxide emissions (CO2) in China using time series data from 1980 to 2014. The Non-linear NARDL method is employed to check the longrun asymmetric relationship between remittances inflow and carbon emissions. The findings show that a positive shock in remittances causes an increase in CO2 emissions, while a negative shock in remittances causes a decrease in CO2 emissions. The results support the existence of an asymmetric cointegrating relationship between remittances and CO2 emissions in both short run and the long run. The NARDL dynamic multiplier graph assumes that positive remittances shocks are highe compared to the negative remittances shocks. It suggests that policymakers in China should consider remittances as a policy instrument especially designing strategies and policies related to sustainable environmental quality in the long run.

Details

Title
Does the inflow of remittances cause environmental degradation? Empirical evidence from China
Author
Ahmad, Manzoor 1   VIAFID ORCID Logo  ; Zahoor Ul Haq 2 ; Khan, Zeeshan 3   VIAFID ORCID Logo  ; Shoukat Iqbal Khattak 4   VIAFID ORCID Logo  ; Zia Ur Rahman 5 ; Khan, Shehzad 6 

 School of Economics, Department of Industrial Economics, Nanjing University, China;; Department of Economics, Abdul Wali Khan University Mardan, Pakistan; 
 Pakhtunkhwa Economic Policy Research Institute (PEPRI), Abdul Wali Khan University Mardan, Pakistan; 
 School of Economics & Management, Tsinghua University, China; 
 School of Business Administration, Jimei University, China; 
 Research School for Southeast Asian Studies, Xiamen University, China; 
 Institute of Business Studies & Leadership (IBL), Abdul Wali Khan University Mardan, Pakistan 
End page
2121
Publication year
2019
Publication date
Dec 2019
Publisher
Taylor & Francis Ltd.
ISSN
1331677X
e-ISSN
18489664
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2371512823
Copyright
© 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.