Labor Wage Statistics Reform: Methodological Innovations, Institutional Challenges, and Policy Implications
DOI:
https://doi.org/10.53469/ijomsr.2026.09(02).07Keywords:
Public Institution, Labor Wage Statistics, Reform MeasuresAbstract
Against the backdrop of the continuous advancement of China’s market economy system, the internal personnel management framework of public institutions has undergone significant transformation. In this context, labor wage statistics constitute a fundamental component of the personnel management system within public institutions, the quality of which exerts a direct and substantial influence on overall organizational efficiency. Accordingly, this study conducts an in-depth analysis of the current state and reform strategies related to labor wage statistics in public institutions, aiming to provide practical insights for the improvement of relevant practices. Meanwhile, amid the ongoing integration of economic and cultural systems, the scope of the martial arts cultural industry has expanded considerably. The inter-sectoral linkages and quality determinants within this industry are increasingly shaped by the external ecosystem, evolving in tandem with industrial transformations. This external ecosystem encompasses the flows of talent, knowledge, capital, information, and material resources, and can be conceptualized across four interconnected levels. Chief among these is the talent system, which serves as a critical factor underpinning the sustainable development of the martial arts cultural industry.
References
Du DEjun. Discussion on labor wage statistics under the New Normal [J]. Finance and Economics, 2017(06):124-125.
Qi PENG. Research on statistical sampling survey method of labor wage in "below scale" unit [J]. Statistical Science & Practice, 2021(01):57-62.
Shao Shujing. Using big data to promote the innovative development of labor and wage statistics [J]. Modern Economic Information, 2019(24):97.
Deng Yali, Qi Ming. Enterprise financial management innovation from the perspective of "Internet
+" industrial integration[J]. Finance and Accounting Newsletter, 2017, (05): 60‐63.
Analysis report on important data of private economic development and private investment from January to June 2016[J]. Economic Research Reference, 2016(46): 42‐85.
Sun Jin‐ting, Li Ying, Tian Si‐jie, Zhang Lin‐yue. Optimization of Chinese power enterprises R&D staff incentive mechanism[J]. Ecological Economy, 2017, 13(01): 59‐68.
Yu Guixue, Zhou Jingkun. On the incentive mechanism of R&D personnel in high‐tech enterprises[J]. Journal of Changsha Railway University (Social Science Edition), 2003, (Z1): 98‐101.
Yang Dafeng. The impact of different equity incentive strategies on private enterprise R&D investment——An empirical study based on the small and medium‐sized listed companies in Shenzhen Stock Exchange[J]. Financial Theory and Practice, 2015, (01): 86‐89.
Yu Zhong. Construction of incentive mechanism for R&D personnel in software enterprises[J]. Journal of Fujian Agriculture and Forestry University (Philosophy and Social Sciences Edition), 2005(03): 56‐59.
Liu Hong, Hu Baomin, Yang Lin. Research on the relationship between R&D personnel's professional orientation, professional satisfaction and motivation demand[J]. Science and Science and Technology Management, 2007, (09): 184‐188+193.
Huang Jianbai, Zhang Yanjun. The operating mechanism of team incentive compensation and its application in enterprise R&D personnel incentives[J]. Mining and Metallurgical Engineering, 2002, (01): 107‐109+114.
Fan Ling, Ding Bin, Zhang Tongjian. An Empirical Study on the Correlation of Goal Incentives, Organizational Learning and Organizational Creativity——Based on the Data Test of R&D Teams in Chinese Management Context[J]. Leadership Science, 2015, (14) : 50‐54.
Zhang Yunsheng, Zeng Deming, Zhang Lifei, Lucy Yang Lu. R&D team governance and R&D performance[J]. Journal of Technology Management in China, 2007, 2(1).
Chao‐ying Tang, Li‐bin Liang. Growth Needs, Compensation Design, Intrinsic Motivation and R&D Creativity[M]. Springer Berlin Heidelberg: 2013‐06‐15.
Li Weidong, Liu Hong. An Empirical Study on Incentives for Knowledge Sharing Intention of R&D Personnel in Different Team Types[J]. Chinese Journal of Management, 2011, 8(11): 1638‐1645.
Wang Yongqiang, Zhu Fangwei, Jiang Bing. Research on the Incentives for Transformation of Tacit Technical Knowledge of R&D Staff in Technology Introduction[J]. Journal of Dalian University of Technology (Social Science Edition), 2011, 32(01): 31‐35.
Hu Xinping, Hu Mingqing, Deng Tengteng. Research on R&D Team Knowledge Sharing Incentive Mechanism Based on Fairness Preference[J]. Business Research, 2013, (10): 82‐87.