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Statistical Measurement and Assessment System Construction of New Quality Productivity under the Background of Digital Economy

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DOI: 10.23977/infse.2025.060208 | Downloads: 4 | Views: 168

Author(s)

Song Bingmei 1

Affiliation(s)

1 Shandong Mengyin County Bureau of Statistics, Linyi, Shandong, 276200, China

Corresponding Author

Song Bingmei

ABSTRACT

With the rapid development of digital economy, new quality productivity (NQP) has become a key force to promote economic growth. This article focuses on the statistical measurement and assessment system construction of NQP under the background of digital economy. Through theoretical analysis, this article expounds the theoretical basis of digital economy and NQP, and makes it clear that the statistical measurement of NQP should follow the principles of scientificity and comprehensiveness, and construct a theoretical framework from multiple dimensions such as innovation ability and production efficiency. Based on this, we further select specific indicators such as R&D investment ratio and total labor productivity from four dimensions: innovation-driven, production efficiency, industrial synergy and digital support, and use AHP to determine the weight of each indicator and build an assessment system. The research results provide a scientific theoretical framework and assessment method for accurately measuring the level of NQP, and help the government, enterprises and other subjects to deeply understand the development of NQP. This provides a strong basis for formulating relevant policies and strategic decisions, and is of great significance for promoting the development of new quality productive forces in the digital economy era.

KEYWORDS

Digital Economy; New Quality Productivity; Statistical Measure; Assessment System; Analytic Hierarchy Process

CITE THIS PAPER

Song Bingmei, Statistical Measurement and Assessment System Construction of New Quality Productivity under the Background of Digital Economy. Information Systems and Economics (2025) Vol. 6: 59-64. DOI: http://dx.doi.org/10.23977/infse.2025.060208.

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