Most recently, according to the latest statistics released by Clarivate Analytics Essential Science Indicators (ESI) in May 2024, Professor Cai Hongbo (corresponding author) published A paper,A new look at the KM-FDI-Energy-Environment nexus in the case of selected Asiannations, was selected as one of the Top 1% highly cited papers in the field of "Economics and Business" by ESI.

According to the statistics of the Web of Science website, based on the high citation threshold of the latest "Economics and business" field, this paper enters the top 1% of the field. So far, this paper has been cited 86 times by SSCI/SCI journals and 114 times by Google Scholar.

ESI is one of the important index tools used to evaluate the international academic level and influence of universities, academic institutions, countries or regions in the world. ESI collects the data of papers in the SCIE and SSCI databases of all universities and research institutions in the world in the past 11 years, determines the threshold for measuring research performance according to the frequency of citation, and excludes the top 1% of research institutions, scientists and research papers in the world, the top 50% of countries/regions in the world and the top 0.1% of hot papers.ESI comprehensively measures national/regional scientific research level, academic reputation of institutions, academic influence of scientists and academic level of journals in 22 professional fields through six indicators: number of papers, citation frequency of papers, citation frequency of all papers, highly cited papers, hot papers and cutting-edge papers.

Rahman, Z. U., Cai Hongbo, & Ahmad, M. (2023). A new look at the remittances-FDI-energy-Environment nexus in the case of selected Asian nations. The Singapore Economic Review, 68(01), 157-175.

Abstract:

This study investigates the association between remittances, FDI, energy use, and CO2 emissions for a sample of the top six Asian nations receiving remittances, namely, China, India, the Philippines, Pakistan, Bangladesh, and Sri Lanka, during the 1982–2014 period. The results of employing an autoregressive distributed lag (ARDL)-bound technique signify that there is a stable long-run association among the stated variables. The empirical findings indicate that CO2 increases significantly with a rise in energy use in all sample nations in both the long and short-runs. Conversely, the association between CO2 emissions and remittances is found to be significantly positive for Sri Lanka, Pakistan, the Philippines, and Bangladesh in the long-run, positive for Pakistan, the Philippines, and Sri Lanka only in the short-term, and non-significant for India and China in both the long and short-runs. Furthermore, the empirical results illustrate that the inflow of FDI significantly increases CO2 emissions in the cases of China, Sri Lanka, and India in both the long and short-runs. While FDI inflow has no significant effect on CO2 emissions for the Philippines and Pakistan, it has a significant negative effect for Bangladesh in both the long and short-runs. Thus, the connection between remittances, FDI, and CO2 emissions varies significantly across the countries considered in our study.

Link：https://doi.org/10.1142/S0217590819500176

Contributed by Scientific Research Office

Edited by Sun Yue

Reviewed by Wei Hao