The Impact of Green Logistics-Based Activities on the Sustainable Monetary Expansion Indicators of Oman

Purpose: The purpose of this study is to examine green logistics activities using a three-axis approach (financial-economic, social and environmental activities) and how these activities affect the sustainable monetary expansion indicators for the Sultanate of Oman. Design/methodology/approach: This study begins by defining elements of green logistics and how this concept has evolved in recent years. This concept is analyzed after surveying previous studies on green logistics. The independent variables of green logistics are threefold: financialeconomic, social and environmental, and are applied to clarify the impact on monetary expansion indicators (broad, narrow and reserve money), which are important indications for determining the economic condition of a country. This study used data published in the annual statistical report by the Central Bank of Oman as representative of the economic condition of the Sultanate of Oman during the period 2008 to 2015. Findings: Two variables within the environmental activities were found to be statistically significant at 1% and 5%: government support to the electricity sector (GSE) and subsidy on soft loans to the private housing sector (SSLPH). Only one variable (transport and communication (TC)) within the financial-economic activities was statistically significant at 1% and 5%, but all variables (community, social and personal (CSP) relations; cultural and religious affairs (CRA); and social security and welfare (SSW)) within the social activities were statistically significant at 1%, 5% and 10%. Finally, a multiple regression test was also performed on all the variables within the green logistics activities and all the monetary expansion indicators, and they were found to be statistically significant at 1% and 5%. The study recommends that attention should be given to financial-economic activities as a quantitative standard that contributes to developing green logistics. This would entail a diagnosis of the priorities and
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