The Efficiency of China’s Hub Economy and Its Influencing Factors: A Two-Stage Analysis Based on the Super SBM-Malmquist-Tobit Model

IF 1.7 4区工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Complexity Pub Date : 2024-02-07 DOI:10.1155/2024/8317812

Xueru Fan, Guanxin Yao, Yang Yang

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Abstract

Hub economy is a kind of emerging economic form. Developing a hub economy is essential to strengthen domestic and foreign connectivity and build a powerful country in transportation. This paper designs a two-stage analysis framework for the evaluation and impact study of the input-output efficiency of the hub economy based on the super SBM model, Malmquist model, and Tobit model. In the first stage, the Super SBM and Malmquist models are used to measure the static and dynamic efficiency of the hub economy. In the second stage, the Tobit model is used to analyze the factors influencing the efficiency of the hub economy. Among them, the explained variable in the second stage is the measurement result of technical efficiency in the first stage. The empirical results of 30 provinces and cities in China from 2012 to 2021 show that (1) the technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of China’s hub economy are 0.585, 0.740, and 0.820, respectively, which do not reach the effective state; (2) the technical efficiency change index (Effch), technical progress change index (Techch), and total factor productivity change index (Tfpch) of China’s hub economy are 0.994, 0.945, and 0.939, respectively, indicating that the corresponding efficiencies show a downward trend; and (3) industrial structure, innovation, and technology are significantly and positively correlated with the efficiency of the hub economy; policy and enterprises are significantly negatively correlated with the efficiency of the hub economy; and education does not correlate with the efficiency of the hub economy.

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中国枢纽经济的效率及其影响因素：基于超级 SBM-Malmquist-Tobit 模型的两阶段分析

枢纽经济是一种新兴的经济形态。发展枢纽经济对于加强国内外互联互通、建设交通强国至关重要。本文基于超级 SBM 模型、Malmquist 模型和 Tobit 模型，设计了两阶段的分析框架，对枢纽经济的投入产出效率进行评价和影响研究。在第一阶段，超级 SBM 模型和 Malmquist 模型用于衡量枢纽经济的静态和动态效率。第二阶段，利用托比特模型分析影响枢纽经济效率的因素。其中，第二阶段被解释变量为第一阶段技术效率的测度结果。2012-2021年我国30个省市的实证结果表明：（1）我国枢纽经济的技术效率（TE）、纯技术效率（PTE）、规模效率（SE）分别为0.585、0.740、0.820，未达到有效状态；（2）我国枢纽经济的技术效率变化指数（Effch）、技术进步变化指数（Techch）、全要素生产率变化指数（Tfpch）分别为0.994、0.945、0.939，表明相应效率呈下降趋势；（3）产业结构、创新、技术与枢纽经济效率显著正相关，政策、企业与枢纽经济效率显著负相关，教育与枢纽经济效率不相关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Complexity 综合性期刊-数学跨学科应用

CiteScore

5.80

自引率

4.30%

发文量

595

审稿时长

>12 weeks

期刊介绍： Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.