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Effects of scenario-based carbon pricing policies on China's dual climate change mitigation goals: Does policy design matter?
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作者 Jian Chai Xuejun zhang +1 位作者 xiaokong zhang Yabo Wang 《Journal of Management Science and Engineering》 CSCD 2023年第2期167-175,共9页
Although the carbon pricing policy is a critical driving factor that will help China achieve economic growth,energy transition,and dual climate change mitigation goals,the kind of carbon pricing policy that will compl... Although the carbon pricing policy is a critical driving factor that will help China achieve economic growth,energy transition,and dual climate change mitigation goals,the kind of carbon pricing policy that will complement the country's current development situation remains controversial.We apply the World Induced Technical Change Hybrid(WITCH)model to explore the heterogeneity and synergy of different carbon pricing policies,and the results indicate that it will be challenging to achieve carbon neutrality before 2060.The study find that the combined policy-a mix of carbon tax and carbon market policies--has the optimal emission reduction effect but comes with the highest economic cost,proving to be unsuitable in the long run.The carbon tax policy is an important transitional means to assist in emission reduction,which can serve as an important supplement to carbon market policy and be phased out after the market mechanism matures. 展开更多
关键词 China's dual climate change mitigation goals Carbon pricing policy Carbon emission GDP losses
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The Impact of New Monetary Policy Instruments on the Bond Market
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作者 Jian CHAI Yue PAN +1 位作者 xiaokong zhang Lingyue TIAN 《Journal of Systems Science and Information》 CSCD 2023年第3期277-296,共20页
Establishing a modern central banking system in China necessitates the deployment of a novel suite of monetary policy instruments and unencumbering of the channels through which these policies are transmitted.A critic... Establishing a modern central banking system in China necessitates the deployment of a novel suite of monetary policy instruments and unencumbering of the channels through which these policies are transmitted.A critical aspect of evaluating the soundness and efficacy of monetary policy is to examine its capacity for tempering non-stationary volatility in the bond market.We use a synthetic difference in differences model(SynthDid),which draws upon panel data from eight countries spanning October 2011 to June 2022 period,to accurately determine the efficiency of the transmission of these monetary policy instruments.The Medium-term Lending Facility(MLF)can mitigate fluctuations in both medium-and long-term bond markets.Implementing a unified lending cycle of one year and expanding MLF collateral enhance the transmission efficiency of the newly established monetary policy instruments to the bond market.Additionally,the utilization of the Standing Lending Facility(SLF)substantially reduces the risk associated with short-and medium-term bond markets.Nevertheless,the efficacy of monetary policy transmission via different instruments varies in different periods. 展开更多
关键词 new monetary policy bond market synthetic difference in differences medium-term lending facility standing lending facility
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感知价值、认知过程和行为意向:MOOC学习行为的构型分析 被引量:31
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作者 张宝建 张晓空 +1 位作者 裴博 孙国强 《中国远程教育》 CSSCI 北大核心 2019年第9期72-82,93,共12页
本研究旨在对"互联网+"教育背景下慕课(MOOC)学习行为的影响因素进行分析,以便为吸引更多的学习者、提高学习体验、改善学习效果提供对策建议。基于计划行为理论(TBP)与技术接受模型(TAM),本研究构建了感知价值、认知过程和... 本研究旨在对"互联网+"教育背景下慕课(MOOC)学习行为的影响因素进行分析,以便为吸引更多的学习者、提高学习体验、改善学习效果提供对策建议。基于计划行为理论(TBP)与技术接受模型(TAM),本研究构建了感知价值、认知过程和行为意向的关系模型,进而从学习需要和学习期待两方面考察学习动机的形成机理。采用质性比较分析(QCA)方法对变量间的交互作用进行分析,研究提升学习动机的路径构型,并进一步明确关键要素。研究发现,学习行为的形成存在六条构型路径,验证了学习行为形成的殊途同归现象,其中主观规范、知觉行为控制、自我管理和学习资源作为关键要素对MOOC学习动机的产生具有积极作用。本研究结论对于强化MOOC学习者学习动机以及MOOC平台的构建与优化具有重要现实意义。 展开更多
关键词 MOOC 感知价值 认知过程 行为意向 计划行为理论 技术接受模型 学习动机 构型分析
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Quantitative Analysis and Prediction of China's Natural Gas Consumption in Different Sectors Based on Bayesian Network
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作者 Jian CHAI Yabo WANG +3 位作者 Zhaohao WEI Huiting SHI xiaokong zhang Xuejun zhang 《Journal of Systems Science and Information》 CSCD 2022年第4期338-353,共16页
In view of the heterogeneity of natural gas consumption in different sectors in China,this paper utilizes Bayesian network(BN)to study the driving factors of natural gas consumption in power generation,chemical and in... In view of the heterogeneity of natural gas consumption in different sectors in China,this paper utilizes Bayesian network(BN)to study the driving factors of natural gas consumption in power generation,chemical and industrial fuel sectors.Combined with Bayesian model averaging(BMA)and scenario analysis,the gas consumption of the three sectors is predicted.The results show that the expansion of urbanization will promote the gas consumption of power generation.The optimization of industrial structure and the increase of industrial gas consumption will enhance the gas consumption of chemical sector.The decrease of energy intensity and the increase of gas consumption for power generation will promote the gas consumption of industrial fuel.Moreover,the direct influencing factors of gas price are urbanization,energy structure and energy intensity.The direct influencing factors of environmental governance intensity are gas price,urbanization,industrial structure,energy intensity and energy structure.In 2025,under the high development scenario,China’s gas consumption for power generation,chemical and industrial fuel sectors will be 66.034,36.552 and 109.414 billion cubic meters respectively.From 2021 to 2025,the average annual growth rates of gas consumption of the three sectors will be 4.82%,2.18%and 4.43%respectively. 展开更多
关键词 Bayesian network influence factors Bayesian model average forecast natural gas consumption in different sectors
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