Performance Analysis of Vietnamese Provinces’ FDI Attractiveness: An Application of DEA and Malmquist Indexes

Abstract

Vietnam has emerged as a highly promising destination for foreign direct investment (FDI) projects, experiencing a commendable and consistent influx of FDI in recent years. However, this surge is not uniformly distributed across provinces. This study applies the data envelopment analysis (DEA) and Malmquist index measurement to evaluate FDI attractiveness of provinces in Vietnam from 2012 to 2020. Based on DEA, the analysis takes the provinces’ five indicators (Labor Force, Gross Regional Domestic Product, Provincial Competitiveness Index, FDI by capital, and FDI by cases) into account in order to identify provinces ripe for targeted improvement as well as those that can serve as exemplars for others. Next, Malmquist indexes are derived from DEA assessment to observe the evolution of each province during 2012 to 2020, and then decomposed to uncover the cause of performance change. We find that only four provinces are able to achieve perfect efficiency in attracting FDI, including three provinces from South East region: Vung Tau, Binh Duong, Ho Chi Minh, and Ha Tinh. Nevertheless, nearly 80% of the provinces improve their performance. The methodology and findings in this paper can provide significant insights for policymakers to devise mechanisms to attract FDI in their locality.