Measurement and Difference Analysis of Total Factor Productivity of Strategic Emerging Enterprises in China

Abstract

Improving the total factor productivity of strategic emerging enterprises is of great significance for promoting the optimization and upgrading of the industrial structure and achieving high-quality economic development. Based on the data of 2,760 strategic emerging enterprises of China a-share listed companies from 2014 to 2016, this study uses Levinsohn and Pertrin(LP) method to measure the total factor productivity of China's strategic emerging enterprises, and analyzes regional differences in total factor productivity of strategic emerging enterprises. The results showed that during the sample study period, the total factor productivity of China's strategic emerging enterprises decreases first and then increases. From the perspective of different regions, the total factor productivity of strategic emerging enterprises in the four regions showed a "stepwise distribution", the total factor productivity of strategic emerging enterprises in the East, Central and Western regions showed a downward trend, and the total factor productivity of strategic emerging enterprises in the central region showed a downward trend and then an upward trend. From the perspective of regional heterogeneity, Beijing, Shanghai, Guangdong, Shandong, Jiangsu and other provinces have higher total factor productivity of strategic emerging enterprises. However, the total factor productivity of strategic emerging enterprises in Xinjiang, Gansu, Guangxi, Yunnan, Shaanxi and other provinces and cities is low. In order to promote the total factor productivity of strategic emerging enterprises, we can increase R&D investment, link financing constraint and pay attention to regional development differences.

Does the Digital Economy Promote Domestic Non-Tradable Sectors?: Evidence from China

“…The DE improves production Catalyzing new technology revolution [23] Wu & Yu, (2022) Supervision measures for enterprises [24] Sun et al, (2020) Accelerating rural economic development [25] Couture et al, (2021) Lifting enterprise total factor productivity [26] Hua et al First, the digitalization trend motivates the firms with a new tech revolution and advanced productivities. Vigorously developing the DE, as represented by artificial intelligence, big data, 5G technology and cloud computing, is the major priority of economic development competition in all economies [34].…”

“…Facing to the new round of the technological and industrial revolution [23], application of big data and information technology could further improve supervision measures for enterprises [24], compensating for the deficiency of traditional economic indicators [35] and promoting rural economic development through e-commerce [25], which further narrows the gap in regional economies. From the microeconomic perspective, the digital transformation has significantly improved enterprise total factor productivity [26].…”

“…Although the economic coverage of digital research has covered a wide range of disciplines and social fields, the empirical evidence on how to improve the domestic non-tradable economy is too limited for the DE. The previous literature discussed various perspectives of the mechanism of the issue, such as the impact of the DE on the environment and sustainable development [60,61,72], the impact of the DE on the efficiency of international trade and the types of import and export products [73,74], the digital transformation of enterprises and upgrading of the industrial structure [26,49], and the impact of digitalization on the flow of labor and capital [75][76][77].…”