Productivity in the Bank: A Meta-Regression Analysis DOI Creative Commons
Neylan Kaya

Verimlilik dergisi, Journal Year: 2024, Volume and Issue: 58(4), P. 639 - 650

Published: Oct. 28, 2024

Purpose: This study aims at examining studies employing the Malmquist Productivity Index (MPI) in calculating banks’ productivity. It also seeks to determine factors affecting total factor productivity change of banks through meta-regression analysis. Methodology: On December, 2023, relevant works were systematically reviewed using Web Science (WoS), Scopus, and Google Scholar. The literature review employed a comprehensive search involving all files with keywords such as ‘‘productivity” “bank’’. research process adhered PRISMA guidelines. Findings: Key features 35 incorporated analysis are presented. samples 65.71% Asian countries. bank 45.71% was calculated DEA-MPI method. under consideration sourced from diverse populations. These share key similarities terms subject methodology. Random Effects Model used test heterogeneity across studies. common effect size is 19.361 (z= 4.23, 95% CI: [10.384, 28.338]). Inter-study determined Cochran Q I^2 index (I^2= % 100, df=32.000, Q=141163533.762, p

Language: Английский

Digital economy and fiscal decentralization: Drivers of green innovation in China DOI Creative Commons
Zijun Liu, Bingjie Liu,

Hang Luo

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33870 - e33870

Published: June 29, 2024

The impact of government behavior under a fiscal decentralization system on the interplay between digital economy and both quality efficiency green innovation poses an intriguing question. To address this, present study employs two-way fixed-effects models, instrumental variables, spatial econometric techniques, using data from 30 provinces cities in China spanning 2004 to 2019. findings reveal that advancement significantly enhances innovation. In context China's decentralization, local governments frequently employ "race top" strategy, amplifying economy's beneficial This effect is particularly pronounced economically prosperous regions prioritize environmental assessments. Additionally, identifies demonstration effect, indicating bolsters influence adjacent regions. Consequently, policy recommendations include deepening economy, advocating for increased autonomy governments, refining performance appraisal systems officials, establishing well-calibrated transfer mechanism. Further, leveraging positive correlations among can foster competitive yet collaborative landscape

Language: Английский

Citations

4
Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China DOI Open Access

Lina Peng,

Juan Liang,

Kexin Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3455 - 3455

Published: April 20, 2024

Green and low-carbon use of urban land (GLUUL) high-quality economic development (HED) are two closely linked mutually reinforcing systems, their coordinated is great theoretical practical significance to the realization green sustainable development. Based on analysis, this paper used data from 2005 2020 measure GLUUL efficiency HED level coupling coordination degree (CCD) successively 282 cities in China, then analyzed in-depth main factors affecting CCD its spatial–temporal heterogeneity using GTWR model. This study found that (1) levels increasing with different trends, unbalanced. High-value systems show a staggered distribution pattern. (2) The was dominated by primary intermediate types, overall became increasingly coordinated, “intermediate coordination—advanced development” type having highest representation. (3) There gradual convergence spatial differences, showing an pattern “high northwest southeast, low central area”. (4) influence direction distinguishing. positive impact industrial structure upgrading (Isu) obviously greater than other factors, which has strongest effect corridor along Yangtze River Beijing–Tianjin–Hebei region. findings can offer insightful recommendations for promoting China similar developing countries regions.

Language: Английский

Citations

2
Spatiotemporal evolution and driving factors of urban green technology innovation efficiency in the Chengdu-Chongqing Economic Circle of China DOI Creative Commons
Shicheng Deng, Yuming Wu

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: Aug. 16, 2023

Introduction Green technology innovation efficiency (GTIE) growth is an essential route to protect the urban ecological environment in Chengdu-Chongqing Economic Circle (CCEC). However, measurement and spatial driving factors of GTIE are still puzzled. Methods This study constructs indicator system including inputs, desired outputs, undesired evaluates CCEC using super-efficiency slacks-based measure (S-SBM). Then, exploratory data analysis (ESDA) method applied analyze geographical distribution correlation characteristics GTIE, a econometric model used influencing from perspective spillover. Results The results suggest that: (1) From 2006 2020, has obviously increased, its prominent unbalanced feature. (2) mainly presents significant positive correlation, manifested "high-efficiency type" "low-efficiency regional agglomeration patterns, "core-edge" structure centering on Chengdu Chongqing tends be stable. (3) development (ED), government support (GS), environmental regulation (ER) can promote GTIE. negative spillover effects external opening (EO) ER significant, they have neighboring cities. (4) Spatial heterogeneity shows that with different levels significantly different, effect more high-efficiency Discussion showing trend, but it needs narrow gap between Firstly, cities improve by improving ED, strengthening GS, enhancing ER. Secondly, need pay attention EO process Finally, types develop differentiated green strategies based their own conditions.

Language: Английский

Citations

2
Explaining the changes in the green technology innovation efficiency of construction enterprises DOI Creative Commons
Xingwei Li, Xiang Liu

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 25, 2024

Based on the objective of global carbon emission reduction, green technology innovation efficiencies construction enterprises (GTIE–CE) have attracted attention in various countries and regions worldwide. However, researchers not yet assessed GTIE–CE from perspectives asymmetric theory, resource orchestration theory eco-innovation theory. To reveal changes GTIE–CE, an index system is constructed to measure this efficiency based In addition, study uses spatial variance function PVAR model evolution mechanism with respect market, government dimensions. The main conclusions are as follows. (1) Regional heterogeneity present China, appearance high spreads Yangtze River Delta Pearl surrounding areas. (2) market dimension positively affects enterprises, but effect delayed. (3) significantly promotes improvement This provides integrated theoretical perspective that reveals helps broaden research field addition insights China further promote transformation these enterprises.

Language: Английский

Citations

0
Productivity in the Bank: A Meta-Regression Analysis DOI Creative Commons
Neylan Kaya

Verimlilik dergisi, Journal Year: 2024, Volume and Issue: 58(4), P. 639 - 650

Published: Oct. 28, 2024

Purpose: This study aims at examining studies employing the Malmquist Productivity Index (MPI) in calculating banks’ productivity. It also seeks to determine factors affecting total factor productivity change of banks through meta-regression analysis. Methodology: On December, 2023, relevant works were systematically reviewed using Web Science (WoS), Scopus, and Google Scholar. The literature review employed a comprehensive search involving all files with keywords such as ‘‘productivity” “bank’’. research process adhered PRISMA guidelines. Findings: Key features 35 incorporated analysis are presented. samples 65.71% Asian countries. bank 45.71% was calculated DEA-MPI method. under consideration sourced from diverse populations. These share key similarities terms subject methodology. Random Effects Model used test heterogeneity across studies. common effect size is 19.361 (z= 4.23, 95% CI: [10.384, 28.338]). Inter-study determined Cochran Q I^2 index (I^2= % 100, df=32.000, Q=141163533.762, p

Language: Английский

Citations

0