Author(s)

Yan Wang ¹, Zhengyin Wang ¹, Youyu Dai ¹, Hui Sun ¹

Affiliation(s)

¹ International Business School, Shandong Jiaotong University, Weihai, Shandong, China

Corresponding Author

Zhengyin Wang

ABSTRACT

Based on the new requirements of the current digital age for statistical indicator systems and the shortcomings of existing indicator systems in evaluating new quality productivity, this study collected and standardized economic data, used Critic weighting method to calculate the objective weights of each indicator, and adjusted them through expert scoring method to integrate expert experience and judgment, used weighted sum method to calculate the comprehensive score of Shandong region, constructed a comprehensive evaluation model, and constructed a statistical index system for new quality productivity in Shandong Province. The research results indicate that the correlation coefficients between the proportion of high-tech industries and GDP growth rate under the new indicator system are higher than those under the old indicator system, demonstrating higher sensitivity and accuracy. In addition, the new indicator system has shown better guidance effect in policy guidance impact assessment. In 2010, the industrial added value of Shandong Province reached 45.68 billion yuan under the new indicator system, far higher than the 20.7 billion yuan under the old indicator system. The introduction of the new indicator system provides a more accurate basis for policy formulation and resource allocation, which helps promote high-quality economic development in Shandong Province.

KEYWORDS

New Quality Productivity, Statistical Indicator System, Proportion of High-Tech Industries, Industrial Added Value

CITE THIS PAPER

Yan Wang, Zhengyin Wang, Youyu Dai, Hui Sun, Design of Statistical Index System for New Quality Productivity in Shandong Province. Industrial Engineering and Innovation Management (2024) Vol. 7: 89-97. DOI: http://dx.doi.org/10.23977/ieim.2024.070314.

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