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A Study on the Evolution of Labor Self-Organizations and the Design of Governmental Mechanism from A Complex Network Perspective

A Study on the Evolution of Labor Self-Organizations and the Design of Governmental Mechanism from A Complex Network Perspective
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摘要 Self-organization theory informs an analysis on the evolution of labor self-organizations (LSOs), but lacks technical analysis on the evolution of their organizational structures. Fortunately, complex network technology offers a new approach to analyzing these structures. Built on an extension of the Barabási-Albert (BA) model, we can simulate the evolution of LSOs by analyzing indicators including the clustering coefficient, degree distribution (DD) and average path length (APL) of workers, thereby demonstrating the evolving patterns of LSOs. Accordingly, governmental mechanism designs based on such patterns may not only stimulate energy growth and functional realization of LSOs, but also reduce the social percussions of abrupt evolutions. A comparative analysis of the evolutionary trajectories of LSOs in China and the U.S. finds that the U.S. government’s mechanism designs for protecting capitalism not only prevented the effective gathering of workers, but also prolonged the history of industrial conflicts. Such mechanism designs also led to the early dispersion and decline of LSOs and hindered the evolution of the working class. In contrast, the Chinese government established a socialist system that allowed workers to become the underlying force of socialist productivity. This design reduced labor strife while accelerating the evolution of workers towards higher stages. Self-organization theory informs an analysis on the evolution of labor self-organizations(LSOs), but lacks technical analysis on the evolution of their organizational structures. Fortunately, complex network technology offers a new approach to analyzing these structures. Built on an extension of the Barabási-Albert(BA) model, we can simulate the evolution of LSOs by analyzing indicators including the clustering coefficient, degree distribution(DD) and average path length(APL) of workers, thereby demonstrating the evolving patterns of LSOs. Accordingly, governmental mechanism designs based on such patterns may not only stimulate energy growth and functional realization of LSOs, but also reduce the social percussions of abrupt evolutions. A comparative analysis of the evolutionary trajectories of LSOs in China and the U.S. finds that the U.S. government’s mechanism designs for protecting capitalism not only prevented the effective gathering of workers, but also prolonged the history of industrial conflicts. Such mechanism designs also led to the early dispersion and decline of LSOs and hindered the evolution of the working class. In contrast, the Chinese government established a socialist system that allowed workers to become the underlying force of socialist productivity. This design reduced labor strife while accelerating the evolution of workers towards higher stages.
机构地区 School of Economics
出处 《Contemporary Social Sciences》 2019年第4期143-155,共13页 当代社会科学(英文)
基金 a deliverable of the “Research on the Accounting of ‘Trade in Value-added’ in Chinese Services Sector and its Place in the Global Value Chain,” a project funded by the National Social Science Foundation of China(15BGJ036) “The Impacts of Economic Globalization on Entrepreneurship in China—Theoretical Research and Empirical Analysis,” a youth project funded by the National Natural Science Foundation of China(NSFC)(71603142) “Research on Approaches to Labor-Management Cooperation with Chinese Characteristics—A Labor Relations Evolutionary Perspective,” a Ministry of Education humanities and social sciences research youth project(16YJC790115) “Research on the Evolution of Labor Relations with Chinese Characteristics Since the 18th CPC National Congress,” a Shandong planned social sciences research project(16CZLJ05) “Research on the Evolution Mechanisms and Paths of the Marxist Labor System from a Complex Network Perspective,” a project funded by the China Postdoctoral Science Foundation(CPSF)(2017M612180) “Research on Mechanism Design of the Spatial Structure of Labor-Management Cooperation with Chinese Characteristics,” a Qingdao postdoctoral applied research project
关键词 Complex networks (CNs) SELF-ORGANIZATION EVOLUTION mechanism DESIGN Complex networks(CNs) self-organization evolution mechanism design
分类号 C [社会学]
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