Biased data revisions: Unintended consequences of China's energy-saving mandates
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DOI: 10.1016/j.chieco.2016.08.004
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- Zhang, Ping & Shi, XunPeng & Sun, YongPing & Cui, Jingbo & Shao, Shuai, 2019. "Have China's provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data," Energy Policy, Elsevier, vol. 128(C), pages 276-283.
- Ma, Ben & Liu, Min, 2022. "Improved statistical consistency: The effect of data revisions on the energy use gap between China and its provinces," China Economic Review, Elsevier, vol. 73(C).
- Michael Meiser & Ingo Zinnikus, 2024. "A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities," Energies, MDPI, vol. 17(9), pages 1-29, April.
- Nan Wu & Cunkuan Bao & Weichun Ma, 2023. "Consistency between Environmental Performance and Public Satisfaction and Their Planning Intervention Strategies: A Policy Text Analysis of Urban Environmental Planning," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
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Keywords
Energy-saving mandates; Unintended consequences; Biased benchmark revision; Checks and balances; China;All these keywords.
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