Dynamic sustainability assessment of poverty alleviation in China: evidence from both novel non-convex global two-stage DEA and Malmquist productivity index

Helu Xiao (), Na Wang () and Shanping Wang ()
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Helu Xiao: Hunan Normal University
Na Wang: Hunan Normal University
Shanping Wang: Hunan Normal University

Operational Research, 2023, vol. 23, issue 2, No 5, 40 pages

Abstract: Abstract Performance evaluation of poverty alleviation (PA) is one of the important tools to promote the effective linkage between PA and rural revitalization in China. This paper exposes the internal structure of PA and specifies its input–output process as a two-stage series system consisting of public investment and PA processes. Based on the centralized and decentralized management mechanisms, we propose non-convex global two-stage data envelopment analysis (DEA) models and non-convex global Malmquist productivity indices (GMPIs) to measure the dynamic efficiency of each PA system and its changes. We select 22 provinces (regions) in China as decision making units (DMUs) to illustrate the validity of the proposed models. The results show that: (i) the global PA efficiencies of the overall system (subsystems) are increasing over time, and most of them have already been at a high efficiency in the recent period; (ii) there is a certain inconsistency in the performance development trends of the overall system and subsystems, particularly in terms of the non-convex GMPI, local efficiency change (LEC), and best practice change (BPC).

Keywords: Data envelopment analysis; Two-stage PA system; Non-convex setting; GMPI (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12351-023-00771-z

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