| Title | An Empirical Study on the Spatial Effect of Cultural Industry Innovation Efficiency |
|---|---|
| ID_Doc | 31984 |
| Authors | Guo, HX; Zeng, G |
| Title | An Empirical Study on the Spatial Effect of Cultural Industry Innovation Efficiency |
| Year | 2024 |
| Published | Polish Journal Of Environmental Studies, 33, 3 |
| Abstract | In order to cope with severe environmental crises such as pollution and climate, the Chinese government has put forward the strategic goal of "double carbon" and vigorously developed green emerging industries such as cultural industry. Based on the super efficiency model and the input oriented Malmquist index model, this paper comprehensively measures the innovation efficiency of cultural industry, and selects the panel data of the Yangtze River economic belt from 2015 to 2021 for empirical analysis. In addition, the spatial econometric model is introduced to explore the driving factors affecting the innovation efficiency of cultural industry from the perspective of time and space. The results show that: (1) the overall innovation efficiency of the cultural industry in the Yangtze River economic belt is high, but there is significant spatial heterogeneity. (2) The average Malmquist index of the innovation efficiency of the cultural industry in the Yangtze River economic belt is 1.123, which reflects the continuous improvement of the level of industrial innovation. Environmental factors such as sulfur dioxide emissions in waste gas, investment in industrial pollution control, and per capita GDP have a significant impact on the innovation efficiency of cultural industry in the Yangtze River economic belt. Finally, the paper puts forward policy suggestions to promote the high-quality development of cultural industry from the perspective of technology, policy and environment. |
| https://www.pjoes.com/pdf-175593-106680?filename=An Empirical Study on the.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
30546
|
Yao, MC; Duan, JJ; Wang, QS Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt(2022)International Journal Of Environmental Research And Public Health, 19, 11 | |
| 35817
|
Cai, SK; Hu, BX; Guo, M Research on spatial-temporal heterogeneity of driving factors of green innovation efficiency in Yangtze River Delta urban agglomeration-empirical test based on the Geographically Weighted Regression model(2024) | |
| 30669
|
Yao, MC; Li, ZQ; Wang, YF Features of Industrial Green Technology Innovation in the Yangtze River Economic Belt of China Based on Spatial Correlation Network(2023)Sustainability, 15, 7 | |
| 30789
|
Yao, MC; Zhang, RJ; Dong, HZ Analysis of the Spatiotemporal Convergence Effect and Influencing Factors of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt in China(2024) | |
| 35312
|
Xu, XG; Zhou, YF Efficiency Evaluation of Green Innovation in Chinese Eight Comprehensive Economic Areas Based on Three-stage Malmquist Index(2021)Polish Journal Of Environmental Studies, 30, 3 | |
| 35122
|
Zeng, JY; Skare, M; Lafont, J The co-integration identification of green innovation efficiency in Yangtze River Delta region(2021) | |
| 35578
|
Wu, F; Fu, XP; Zhang, T; Wu, D; Sindakis, S Examining Whether Government Environmental Regulation Promotes Green Innovation Efficiency-Evidence from China's Yangtze River Economic Belt(2022)Sustainability, 14, 3 | |
| 35723
|
Long, RY; Guo, HY; Zheng, DT; Chang, RH; Na, SY RETRACTED: Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model (Retracted Article)(2020) | |
| 30407
|
Wu, MR Measurement and spatial statistical analysis of green science and technology innovation efficiency among Chinese Provinces(2021)Environmental And Ecological Statistics, 28, 2 | |
| 35455
|
Liu, PZ; Zhang, LY; Tarbert, H; Yan, ZY Analysis on Spatio-Temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency-From the Perspective of Innovation Value Chain(2022)Sustainability, 14, 1 |