Most productive scale size of China's regional R&D value chain: A mixed structure network
Saeed Assani, Jianlin Jiang, Ahmad Assani, Feng Yang

TL;DR
This paper develops new mathematical models to measure the most productive scale size (MPSS) in complex production networks and applies them to evaluate the efficiency of Chinese regional R&D activities, revealing widespread inefficiencies.
Contribution
It introduces novel models for MPSS measurement in mixed-structure networks and applies them to analyze Chinese R&D value chains, providing insights into regional efficiency and improvement strategies.
Findings
Chinese R&D regions have low marketability efficiency.
No regions operate at MPSS, indicating inefficiency.
Resource wastage on production and R&D is a significant issue.
Abstract
This paper offers new mathematical models to measure the most productive scale size (MPSS) of production systems with mixed structure networks (mixed of series and parallel). In the first property, we deal with a general multi-stage network which can be transformed, using dummy processes, into a series of parallel networks. In the second property, we consider a direct network combined with series and parallel structure. In this paper, we propose new models to measure the overall MPSS of the production systems and their internal processes. MPSS decomposition is discussed and examined. As a real-life application, this study measures the efficiency and MPSS of research and development (R&D) activities of Chinese provinces within an R&D value chain network. In the R&D value chain, profitability and marketability stages are connected in series, where the profitability stage is composed of…
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Taxonomy
TopicsGlobal trade and economics · Global Trade and Competitiveness · Economic and Technological Innovation
