|本期目录/Table of Contents|

[1]仝立杨,郑霞忠,陈国梁.建筑业省域安全生产目标设置和政策优化路径研究*[J].中国安全生产科学技术,2020,16(8):155-160.[doi:10.11731/j.issn.1673-193x.2020.08.025]
 TONG Liyang,ZHENG Xiazhong,CHEN Guoliang.Research on provincial work safety target setting and policy optimization route for construction industry[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(8):155-160.[doi:10.11731/j.issn.1673-193x.2020.08.025]
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建筑业省域安全生产目标设置和政策优化路径研究*
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年8期
页码:
155-160
栏目:
职业安全卫生管理与技术
出版日期:
2020-08-31

文章信息/Info

Title:
Research on provincial work safety target setting and policy optimization route for construction industry
文章编号:
1673-193X(2020)-08-0155-06
作者:
仝立杨郑霞忠陈国梁
(1.三峡大学 水利与环境学院,湖北 宜昌 443002;
2.三峡大学 安全生产标准化评审中心,湖北 宜昌 443002)
Author(s):
TONG Liyang ZHENG Xiazhong CHEN Guoliang
(1.College of Hydraulic & Environmental Engineering,China Three Gorges University,Yichang Hubei 443002,China;
2.Center of Standardization Evaluation for Production Safety,China Three Gorges University,Yichang Hubei 443002,China)
关键词:
建筑业安全生产目标目标设置政策优化路径动态聚类数据包络分析
Keywords:
construction industry work safety target target setting policy optimization route dynamic clustering data envelopment analysis (DEA)
分类号:
X928.03
DOI:
10.11731/j.issn.1673-193x.2020.08.025
文献标志码:
A
摘要:
为科学、合理地设置省域建筑业安全生产目标,运用目标设置理论,基于参照系法,考虑省域间建筑业技术水平差异,通过耦合动态聚类和双层前沿DEA方法构建建筑业省域安全生产目标设置模型,并结合2018年相关数据开展实证研究。结果表明:运用该模型计算得到的我国整体建筑业安全生产死亡人数控制目标为541人,较2018年实际死亡人数减少约36%,其中江苏、广东、四川降幅最显著,分别为50,50,27人;促进目标实现的政策优化路径因省而异,优先改善管理(H型)和侧重提高技术(L型)的省域数量比为15∶11;空间上不同类型的省域具有明显的集聚特征,H型省域集中分布于西部及东北地区,L型省域则多位于中部地区,国家可据此制定差异化的区域建筑业安全生产管理战略。
Abstract:
In order to set the provincial work safety target of the construction industry scientifically and reasonably,a model for the provincial work safety target setting of construction industry was constructed with coupling the dynamic clustering and twohierarchy frontier data envelopment analysis (DEA) method through utilizing the target setting theory,on the basis of reference system,and considering the difference in technical level of the construction industry between provinces,and the empirical study was carried out combined with the relevant data in 2018.The results showed that the overall work safety target of China’s construction industry was calculated as 541,which is approximately 36% less than the actual death toll in 2018.The decreasing amplitudes of Jiangsu,Guangdong and Sichuan were the most significant,which was 50,50 and 27 respectively.The policy optimization route to promote the realization of target varied from province to province,and the quantity ratio of the provinces with preference to improve the management (Htype) and the provinces focusing on improving the technology (Ltype) was 15∶11.In the perspective of space,the provinces with different types had the obvious agglomeration characteristics,namely,the Htype provinces were concentrated in the western and northeast regions,while the Ltype provinces were mostly located in the central region.So the differentiated regional work safety management strategies of the construction industry could be formulated accordingly by the country.

参考文献/References:

[1]叶贵,陈梦莉,汪红霞.建筑安全事故人为因素分类研究[J].中国安全生产科学技术,2016,12(4):131-137. YE Gui,CHEN Mengli,WANG Hongxia.Study on classification of human factors in construction safety accidents [J].Journal of Safety Science and Technology,2016,12(4):131-137.
[2]WANG B,WU C,KANG L,et al.Work safety in China’s Thirteenth Five-Year plan period (2016—2020):current status,new challenges and future tasks[J].Safety Science,2018,104:164-178.
[3]姜雅婷,柴国荣.目标考核、官员晋升激励与安全生产治理效果——基于中国省级面板数据的实证检验[J].公共管理学报,2017,14(3):44-59,156. JIANG Yating,CHAI Guorong.Target-evaluation,promotion incentive and effectiveness of workplace safety evaluation:an empirical analysis of panel data in china[J].Journal of Public Management,2017,14(3):44-59,156.
[4]王奇,赵欣.基于改进等比例分配方法的我国各省二氧化碳减排目标分配[J].干旱区资源与环境,2019,33(1):1-8. WANG Qi,ZHAO Xin.Allocation of carbon dioxide emission reduction targets in China based on the improved equal proportion distribution[J].Journal of Arid Land Resources and Environment,2019,33(1):1-8.
[5]WU X,TAN L,GUO J,et al.A study of allocative efficiency of PM2.5 emission rights based on a zero sum gains data envelopment model[J].Journal of Cleaner Production,2016,113:1024-1031.
[6]SHEN Y,HERMANS E,BRIJS T,et al.Road safety risk evaluation and target setting using data envelopment analysis and its extensions[J].Accident Analysis & Prevention,2012,48:430-441.
[7]支同祥.建立和完善安全生产控制指标体系[J].劳动保护,2005(1):38-39.
[8]郑霞忠,仝立杨,陈国梁.建筑业安全生产水平时空演变及影响因素分析[J].中国安全科学学报,2020,30(1):27-34. ZHENG Xiazhong,TONG Liyang,CHEN Guoliang.Spatial-temporal evolution characteristics and influencing factors ofwork safety level in construction industry[J].China Safety Science Journal,2020,30(1):27-34.
[9]刘炳胜,陈晓红,薛斌,等.中国区域建筑业发展水平梯度变迁与影响机理研究[J].运筹与管理,2016,25(1):254-261. LIU Bingsheng,CHEN Xiaohong,XUE Bin,et al.Research on gradient changes and influential mechanism of development level in Chinese regional construction industry[J].Operations Research and Management Science,2016,25(1):254-261.
[10]战旭英.地方政府绩效考核失范的原因及治理[J].理论探索,2019(5):75-80. ZHAN Xuying.The anomie,causes and governance of local government performance appraisal[J].Theoretical Exploration,2019(5):75-80.
[11]LOCKEE A.Toward a theory of task motivation and incentives[J].Organizational Behavior & Human Performance,1968,3(2):157-189.
[12]KANG L,WU C,LIAO X,et al.Safety performance and technology heterogeneity in China’s provincial construction industry[J].Safety Science,2020,121:83-92.
[13]SHAO B,HU Z,TONG L,et al.Comprehensive assessment model on accident situations of the construction industry in China:a macro-level perspective[J].Journal of Civil Engineering and Management,2020,26(1):14-28.
[14]CHARNES A.Measuring the efficiency of decision making units[J].European Journal of Operational Research,1979,2(6):429-444.
[15]国家统计局.中国统计年鉴—2019[EB/OL].(2019-09-21)[2020-07-10].http://www.stats.gov.cn/tjsj/ndsj/2019/indexch.htm.
[16]中华人民共和国住房与城乡建设部.事故快报[EB/OL].[2019-10-15].http://sgxxxt.mohurd.gov.cn/AccidentList.aspx.
[17]中华人民共和国住房与城乡建设部.2016年上半年房屋市政工程生产安全事故情况通报[EB/OL].(2016-07-21)[2020-03-29].http://www.mohurd.gov.cn/wjfb/201607/t20160727_228321.html.

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备注/Memo

备注/Memo:
收稿日期: 2020-07-15
* 基金项目: 国家自然科学基金项目(51878385);三峡大学学位论文培优基金项目(2020SSPY013)
作者简介: 仝立杨,硕士研究生,主要研究方向为宏观建筑业安全管理。
通信作者: 郑霞忠,博士,教授,主要研究方向为建筑安全管理。
更新日期/Last Update: 2020-09-10