題目：Losing target: Randomized environmental inspections and law enforcement efficiency
時間：2023年10月11日（星期三）14:00
地點：主樓601
報告人：張炳（南京大學教授、南京財經(jīng)大學副校長）
報告內(nèi)容摘要：
Random inspection is considered a law enforcement method that can decrease the likelihood of collusion between supervisors and supervised objects. Using over 160,000 inspection records from 2016 to 2019, this study examined how China’s implementation of randomized environmental inspections affects law enforcement efficiency. We find that random inspections reduce the overall efficiency of law enforcement. Random inspections revealed 11% fewer environmental problems and 5% fewer environmental violations than non-random inspections. Further examination of the mechanisms reveals that the implementation of random inspections hinders the utilization of local officials' specialized knowledge in effectively targeting polluting companies and identifying violations, thereby diminishing the overall efficiency of law enforcement. To develop more effective enforcement strategies, policymakers should weigh the benefits of random inspections in reducing collusion against the drawbacks in losing target.
主講人簡介：
張炳，南京財經(jīng)大學副校長，畢業(yè)于南京大學環(huán)境學院，主要從事環(huán)境管理與政策分析、環(huán)境經(jīng)濟學的教學和研究，2013年獲得國家自然科學基金優(yōu)秀青年科學基金資助，2017年獲聘教育部長江學者獎勵學者計劃青年學者（經(jīng)濟學），2017獲得國家萬人計劃青年拔尖人才。2018年獲得國家自然科學基金杰出青年科學基金資助。論文發(fā)表在Nature Sustainability、PNAS、QJE、AJPS、JPubE、JDE、JEEM、JPAM、JCE等雜志。參與我國排污許可證、排污交易、環(huán)境信息公開等政策的制定，研究成果獲得環(huán)保部科技獎一等獎、二等獎、張培剛發(fā)展經(jīng)濟學優(yōu)秀成果獎等獎勵。
（承辦：能源與環(huán)境政策研究中心、科研與學術(shù)交流中心）
