Sector trends of total factor productivity: where is the growth potential? DOI Creative Commons
Ekaterina Kadochnikova, Н. Г. Багаутдинова,

Sokhibmalik Khomidov

et al.

Russian Journal of Economics and Law, Journal Year: 2024, Volume and Issue: 18(4), P. 876 - 897

Published: Dec. 16, 2024

Objective: to identify industry trends in aggregate factor productivity, labor productivity and capital economic sectors. The hypotheses are: there is a continuing slowdown the Russian economy sectors; gap various complexes of industries. Methods: Cobb–Douglas production function, multiple regression, Domar aggregation, Gini coefficient, graphical visualization. Results: study revealed more efficient use resources contrast capital, latter being accumulated everywhere. highest increase was noted financial insurance activities, manufacturing industries, professional, scientific technical activities. There cyclical dynamics its most stable growth positive cumulative technological shift marked from 2017 until 2021. They are observed investment (financial activities), agriculture.A decrease total found mining industry, transportation storage, hotels catering, construction, education, healthcare. Scientific novelty: it consists change context sectors 2011 Practical significance: results can be used for policy stimulating internal sources growth, improve sectoral recommendations innovation policy.

Language: Английский

The welfare performance of low-carbon city practice: An innovative tool for assessing urban sustainable development DOI
Xiaoyun Du,

Chenyang Ma,

Guangyu Cheng

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 158, P. 103348 - 103348

Published: Feb. 28, 2025

Language: Английский

Citations

3

New Mechanisms for Increasing Agricultural Total Factor Productivity: Analysis of the Regional Effects of the Digital Economy DOI
Yuanhong Hu,

Jing Liu,

Shuyu Zhang

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 766 - 785

Published: Sept. 1, 2024

Language: Английский

Citations

15

Can carbon-saving technological advancement promote the clean transformation of industrial structure? Evidence from China DOI
Yuanye Zhang, Azhong Ye, Tiantian Li

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144683 - 144683

Published: Jan. 1, 2025

Language: Английский

Citations

1

From digitalization to green transformation: empirical evidence from RCEP’s industrial sectors DOI Creative Commons
Lu Wan, X. Steven Wan, Yanqi Fang

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 3, 2025

Language: Английский

Citations

1

Abundance of natural resources, government scale and green economic growth: An empirical study on urban resource curse DOI
Wen Guo, Bo Yang,

Jiong Ji

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 87, P. 104303 - 104303

Published: Nov. 2, 2023

Language: Английский

Citations

16

The spatial correlation network structure and its formation mechanism of urban high-quality economic development: a comparative analysis from the Yangtze River Economic Belt and the Yellow River Basin in China DOI
Tiantian Li, Azhong Ye, Yuanye Zhang

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(16), P. 23728 - 23746

Published: March 1, 2024

Language: Английский

Citations

4

The impact of manufacturing agglomeration on green development performance: Evidence from the Yangtze River Economic Belt in China DOI
Jie Zheng, Bingbing Yuan,

Jinlong Wu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 471, P. 143407 - 143407

Published: Sept. 1, 2024

Language: Английский

Citations

4

Exploring the impact of digital transformation on productivity: the role of artificial intelligence technology, green technology, and energy technology DOI Creative Commons
Fang Qu, Qian Tang, Chunmei Li

et al.

Technological and Economic Development of Economy, Journal Year: 2025, Volume and Issue: 0(0), P. 1 - 32

Published: Feb. 12, 2025

The aim of this paper is to explore the technological innovation mechanism by which digital transformation (DT) influences total factor productivity (TFP). We take Chinese listed firms from 2007 2020 as research samples, and con- tribute above goals based on fixed-effect models, instrumental variables, mediation effect, moderating effect models. It has been found that (1) while DT contributes positively productivity, enhancement TFP in current primarily attributed artificial intelligence (AI) technology rather than other techno- logical innovation. (2) From an innovation-directed perspective, impact may be offset forms innovation, such green energy technology. Specifically, non-AI direction not align with implications DT. (3) Intellectual property protection impedes constrains deployment AI Conversely, business strategic radicalism corporate intangible asset have yielded favorable outcomes. This study only verifies channel for enhancing mainly stems technology, but also implies might exert a negative technologies. First published online 12 February 2025

Language: Английский

Citations

0

Determinants of sustainability performance of manufacturing companies using two-stage data envelopment analysis DOI
Kristina Šutienė, Clara B. Vaz,

Raminta Vaitiekuniene

et al.

Environmental and Ecological Statistics, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Language: Английский

Citations

0

How to achieve net-zero carbon emission? Evidence from energy-biased technical change DOI
Long Ling, Lu Hu, Xing Zhao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136642 - 136642

Published: May 1, 2025

Language: Английский

Citations

0