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Warianty tytułu
Języki publikacji
Abstrakty
In this study, first, the influences of technological innovation on energy efficiency were theoretically analyzed. Second, CO2 emission was used as an unexpected output in the evaluation of total factor energy efficiency. On the basis of the data of some provinces, cities, and autonomous regions in China from 2011 to 2022, the regional energy under carbon emission constraints was investigated by constructing an SBM-Undesirable model. This study innovatively divided technological innovation into three dimensions of innovation environment, innovation investment, and innovation market. The effects of technological innovation on energy efficiency were evaluated comprehensively by grey relational analysis. Results show that, in view of energy utilization status, most provinces in China report a low efficiency of energy utilization under carbon emission constraints, presenting obvious spatial and geographic differences. The provincial administration regions in the first and second echelons mainly concentrate in East China, while the provincial administrative regions in the third echelon mainly concentrate in Central, West, and Northeast China. The efficiency of energy utilization declines from East China to Northeast China to Central China and then to West China. Technological innovation has significant influences on energy efficiency, and its indexes are highly related to total factor energy efficiency under carbon constraints.
Czasopismo
Rocznik
Tom
Strony
130--142
Opis fizyczny
Bibliogr. 25 poz., rys.
Twórcy
autor
- Xinyang Agriculture and Forestry University, School of Logistics and E-commerce, No. I North Ring Road, Pinggiao District, Xinyang, China
autor
- Xinyang Agriculture and Forestry University, School of Logistics and E-commerce, No. I North Ring Road, Pinggiao District, Xinyang, China
Bibliografia
- [1] He Y, Rao JW, Fu FF, et al., Analysis on Influencing Factors of Industrial Energy Efficiency in China Based on Cointegration and Error Correction Model, Mathematics in Practice and Theory, 3(11) (2020) 37-47.
- [2] Zhang Y, Wang XJ, Research on Establishing Index System and Evaluating of Enterprise Technology Innovation Capability from the view of Low Carbon, Mathematics in Practice and Theory, 47(6) (2017)92-97.
- [3] Wang LJ, Chen T, Wang YY, Spillover Effects Analysis on Technical Standards at Mesa Level: Based on Interprovincial Panel Data, Science and Technology Management Research, 41(4) (2021)175-182.
- [4] Wu WJ, Wang Y, Zhang FY, Can the carbon trading pilot policy improve regional ecological efficiency, Business Economy, 5(12) (2021)137-141.
- [5] Wang QL, Analysis of the Impact of Economic Growth and Technological Innovation on China's Industrial Pollutant Emissions, Technology and Innovation Management, 8(2) (2020)134-141.
- [6] Xie X, Sun H, Gao J, et al., Spatiotemporal differentiation of coupling and coordination relationship of tourism-urbanization-ecological environment system in Chinas major tourist cities, Sustainability, 13(11) (2021)58-67.
- [7] Hou B, Wang B, Du M, et al., Does the S02 emissions trading scheme encourage green total point productivity? An empirical assessment on China's cities, Environmental Science and Pollution Research, 27(6) (2020)6375-6388.
- [8] Thompson M, Social capital, innovation and economic growth, Journal of Behavioral and Experimental Economics, 73 (2018)46-52.
- [9] Liu C, Zhou Z, Liu Q, et al, Can a low-carbon development path achieve win-win development: evidence from China's low-carbon pilot policy, Mitigation and Adaptation Strategies for Global Change, 25(7) (2020)1199-1219.
- [10] Martin R, Regional economic resilience, hysteresis and recessionary shocks, Journal of Economic Geography, 12(1) (2012)1-32.
- [11] Feng C, Huang JB, Wang M, Analysis of green total-factor productivity in China's regional metal industry: a meta-frontier approach, Resources Policy, 58 (2018)219-229.
- [12] Cheng L, Zhang S, Lou X, et al., The penetration of new generation information technology and sustainable development of regional economy in China-moderation effect of institutional environment, Sustainability, 13(3) (2021)1163.
- [13] Lin B, Xu M, Exploring the green total factor productivity of China's metallurgical industry under carbon tax: a perspective on factor substitution, Journal of Cleaner Production, 233 (2019)1322-1333.
- [14] Liu Z, Song J, Wu H, Impact of financial technology on regional green finance, Computer Systems Science and Engineering, 39(3) (2021)391-401.
- [15] Wang M, Xu M, Ma S, The effect of the spatial heterogeneity of human capital structure on regional green total factor productivity, Structural Change and Economic Dynamics, 59 (2021)427-441.
- [16] Wongsapai W, Daroon S, Estimation of greenhouse gas mitigation potential from carbon intensity and energy data analysis from Thai industrial sector, Energy Reports, 7 (2021)930-936.
- [17] Lin B, Chen Z, Does factor market distortion inhibit the green total point productivity in China, Journal of Cleaner Production, 197 (2018)25-33.
- [18] Liu Z, Lang L, Li L, et al., Evolutionary game analysis on the recycling strategy of household medical device enterprises under government dynamic rewards and punishments, Mathematical Biosciences and Engineering, 18(5) (2021)6434-6451.
- [19] Li G, Gao D, Li Y, Dynamic environmental regulation threshold effect of technical progress on green total factor energy efficiency: evidence from China, Environmental Science and Pollution Research, 29(6) (2022)8804-8815.
- [20] Yang W, Chen X, Xiong Z, et al., A privacy-preserving aggregation scheme based on negative survey for vehicle fuel consumption data, Information Sciences, 570 (2021)526-544.
- [21] Shi X, Li L, Green total factor productivity and its decomposition of Chinese manufacturing based on the MML index: 2003-2015, Journal of Cleaner Production, 222 (2019)998-1008.
- [22] Wang H, Luo Q, Can a colonial legacy explain the pollution haven hypothesis? A city-level panel analysis, Structural Change and Economic Dynamics, 60 (2022)482-495.
- [23] Cheng J, Yi J, Dai S, et al., Can low-carbon city construction facilitate green growth? Evidence from China's pilot low-carbon city initiative, Journal of Cleaner Production, 231 (2019)1158-1170.
- [24] Li Y, Li Q, The application of BIM technology in budget control of port construction cost, Journal of Coastal Research, 103(1) (2020)644-648.
- [25] Gao S, Strategy of improving the industrial and commercial administration ability of port type park, Journal of Coastal Research, 103(1) (2020)663-667.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-90fd63ae-5901-4feb-9b66-b532c39a5f28
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