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Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
Pao, Hsiao-Tien; Fu, Hsin-Chia; Tseng, Cheng-Lung - In: Energy 40 (2012) 1, pp. 400-409
economy and climate change in rapid growth market such as China. This paper employs the nonlinear grey Bernoulli model (NGBM …. The MAPEs of NGBM−OP for out-of-sample (2004–2009) are ranging from 1.10 to 6.26. The prediction results show that China … environmental quality, the results suggest that China should adopt the dual strategy of increasing energy efficiency, reducing the …
Persistent link: https://www.econbiz.de/10011055306
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Foreign direct investment and energy intensity in China : firm-level evidence
Bu, Maoliang; Li, Shuang; Jiang, Lei - In: Energy economics 80 (2019), pp. 366-376
Persistent link: https://www.econbiz.de/10012173641
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State food security and people's food sovereignty : competing visions of agriculture in China
Gaudreau, Matthew - In: Canadian journal of development studies 40 (2019) 1, pp. 12-28
Persistent link: https://www.econbiz.de/10012176140
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Using network DEA and Grey Prediction Model for big data analysis : an application in the global airline efficiency
Lu, Wen-Min; Kweh, Qian Long; Mohammad Nourani; Wang, … - In: Data-enabled analytics : DEA for big data, (pp. 327-356). 2021
Persistent link: https://www.econbiz.de/10012880224
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Trigonometric grey prediction method for Turkey's electricity consumption prediction
Tuzemen, Adem - In: Interdisciplinary perspectives on operations management …, (pp. 136-154). 2021
Persistent link: https://www.econbiz.de/10012384714
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Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil
Pao, Hsiao-Tien; Tsai, Chung-Ming - In: Energy 36 (2011) 5, pp. 2450-2458
This paper examines the dynamic relationships between pollutant emissions, energy consumption, and the output for Brazil during 1980–2007. The Grey prediction model (GM) is applied to predict three variables during 2008–2013. In the long-run equilibrium emissions appear to be both energy...
Persistent link: https://www.econbiz.de/10010809155
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Research on the reasons for the decline in sales growth of the e-commerce shopping festival amid the COVID-19 pandemic based on Grey prediction model constructed by Python
Liang, Funing; Peng, Minjing - In: Internet finance and digital economy : advances in …, (pp. 515-525). 2024
Persistent link: https://www.econbiz.de/10014534477
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Environmental performance evaluation of electric enterprises during a power crisis : evidence from DEA methods and AI prediction algorithms
Pan, Yinghao; Zhang, Chao-Chao; Lee, Chien-chiang; Lv, … - In: Energy economics 130 (2024), pp. 1-13
Persistent link: https://www.econbiz.de/10014559265
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Using an energy flow chart to analyze Jiangsu Province’s energy balance
Zhang, Ming; Wang, Wenwen - In: Renewable Energy 39 (2012) 1, pp. 307-312
Since the start of economic reform in 1979, Jiangsu Province has become one of the most developed regions in China. To … thermal power and heating efficiencies in 2009 were higher than those of Guangdong and China in 2007. However, its coal … processing and petroleum refineries efficiencies in 2009 were lower than those of Guangdong and China in 2007. (3) Electricity …
Persistent link: https://www.econbiz.de/10010806944
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The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach
Yue, Ting; Long, Ruyin; Chen, Hong; Zhao, Xin - In: Applied Energy 112 (2013) C, pp. 1510-1517
This study aimed to determine the optimal CO2 reduction path for Jiangsu province to achieve the target of 40–45% reduction of CO2 emissions intensity by 2020 based on the 2005 level. Using the IPAT model combined with scenario analysis, we consider four parameters: economic growth, population...
Persistent link: https://www.econbiz.de/10010702606