首页|Reports from Jiangxi University of Finance and Economics Describe Recent Advance s in Machine Learning (Does Low Carbon City Pilot Promote Urban Carbon Unlocking ?– a Heterogeneity Analysis Based On Machine Learning)
Reports from Jiangxi University of Finance and Economics Describe Recent Advance s in Machine Learning (Does Low Carbon City Pilot Promote Urban Carbon Unlocking ?– a Heterogeneity Analysis Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Nanchang, People’s Republic of China, by NewsRx correspondents, researchstated, “Carbon l ock-in has become a major obstacle to green development in all countries, and carbon unlocking (CUL) is of great significance in accelerating the process of car bon neutrality worldwide.Based on the panel data of 292 prefecture-level cities in China from 2006 to 2020, this paper constructs aPSM-DID model based on mach ine learning to empirically test the impact of LCCP policy on urban CUL.”
NanchangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningJiangxi University of Fina nce and Economics
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