A global Malmquist-Luenberger productivity index

Abstract: Purpose The study aims to address the mechanism of the resource curse and achieve Sustainable Development Goals (SDGs) by exploring the connections between the abundance of natural resources (ANR), institutional quality (IQ) and green total factors of productivity (GTFOP) in the context of Islamic economies. Design/methodology/approach The study uses ordinary least squares, feasible generalized least squares and IV-GMM econometric models to uncover the proposed connectedness among 9 Islamic economies from 2017 to 2023. Moreover, the study examines the asymmetric linkages and moderating influence of green Islamic finance (GIF). Findings The study finds (a) ANR hinders the growth of GTFOP and verifies the resource curse hypothesis; (b) ANR has more depressive impacts on GTFOP in regions with higher GTFOP; (c) strong IQ enhances the systems of resource management with proper extraction and consumption of natural resources, hence IQ promotes GTFOP, especially in upper quantiles; (d) the replaced variables support the findings of benchmark regression; and (e) green Islamic finance reduces the inhibitory impacts of ANR on GTFOP while enhancing the favourable effects of IQ on GTFOP. Originality/value Finally, the study outcomes provide favourable suggestions for governments and policymakers.

TL;DR: This study assesses green development efficiency in three city clusters in China's Yangtze River Economic Belt, employing the Super-SBM model and Thiel index, revealing a two-stage fluctuating upward trend with regional disparities narrowing, driven by technological advancements and economic development.

TL;DR: This study examines the impact of ecological protection on high-quality forestry development in China using provincial panel data from 2010-2021, finding a significant positive correlation and a mediating effect of environmental regulation and urbanization level.

TL;DR: Wang et al. as discussed by the authors integrated carbon emissions into the urban land use efficiency evaluation index system, measured low-carbon urban land usage efficiency using a non-radial directional distance function and analyzed its spatial and temporal evolution and its influencing factors using a combination of a kernel density estimation method and a Tobit model.

TL;DR: In this article, the authors analyzed productivity growth in seventeen OECD countries over the period 1979-88 and found that U.S. productivity growth is slightly higher than average, all of which is due to technical change.

TL;DR: In this article, a nonparametric programming method (activity analysis) is used to compute the Malmquist productivity indexes, which are decomposed into two component measures, namely, technical change and efficiency change.

TL;DR: In this paper, a directional distance function is used as a component in a new productivity index that readily models joint production of goods and bads, credits firms for reductions in bads and increases in goods, and does not require shadow prices of bad outputs.

TL;DR: A directional distance function is introduced and used as a component in a new productivity index that readily models joint production of goods and bads, credits firms for reductions in bads and increases in goods, and does not require shadow prices of bad outputs.