Founded in 1987, Bimonthly
Supervisor:Jiangxi University Of Science And Technology
Sponsored by:Jiangxi University Of Science And Technology
Jiangxi Nonferrous Metals Society
ISSN:1674-9669
CN:36-1311/TF
CODEN YJKYA9
LAI Dan, YANG Hua, LUO Xiang. Influence of economic policy uncertainty on operating efficiency——with listed companies in the non-ferrous metal industry as the case[J]. Nonferrous Metals Science and Engineering, 2020, 11(4): 98-105. DOI: 10.13264/j.cnki.ysjskx.2020.04.015
Citation: LAI Dan, YANG Hua, LUO Xiang. Influence of economic policy uncertainty on operating efficiency——with listed companies in the non-ferrous metal industry as the case[J]. Nonferrous Metals Science and Engineering, 2020, 11(4): 98-105. DOI: 10.13264/j.cnki.ysjskx.2020.04.015

Influence of economic policy uncertainty on operating efficiency——with listed companies in the non-ferrous metal industry as the case

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  • Received Date: June 09, 2019
  • Published Date: August 30, 2020
  • Based on the background of economic transformation and industrial upgrading, DEA-Malmquist index is used to calculate the operating efficiency of listed companies in China's non-ferrous metal industry from 2011 to 2019. And Tobit restricted model is used to test the relationship between economic policy uncertainty and operating efficiency. The research shows that the overall operating efficiency of the non-ferrous metal industry declined obviously from 2011 to 2019. The uncertainty of economic policy is negatively correlated with the operating efficiency of listed companies, and mainly inhibits the technological progress index. Further grouping regression results show that the uncertain economic policy aggravates the restraining effect on the operating efficiency of enterprises at the back end of industrial chain and with the nature of state-owned property rights. Therefore, the government should strengthen the continuity of policy promulgation, improve the transparency of information disclosure, and reduce the negative impact of uncertain economic policies by clarifying the allocation mechanism of government resources and improving the technological innovation capability of enterprises themselves.
  • [1]
    杨丹辉, 张艳芳, 李鹏飞.供给侧结构性改革与资源型产业转型发展[J].中国人口·资源与环境, 2017, 27(7):18-24. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgrkzyyhj201707003
    [2]
    郭将, 郭华, 桂英杰.产业升级中的垄断与效率—一个符合中国实际的思考[J].贵州社会科学, 2013(4):137-141. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gzshkx201304024
    [3]
    刘春学, 屈秋实.基于网络DEA模型的有色金属产业链效率评价研究[J].中国矿业, 2015, 24(增刊2):40-44. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgky2015z2010
    [4]
    赖丹, 汤辉先.我国有色金属产业并购效率研究—基于三阶段DEA模型的实证检验[J].江西社会科学, 2016, 36(6):73-79. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jxshkx201606010
    [5]
    杨丽, 王欣.中国有色金属产业链效率及其影响因素研究——基于网络DEA模型的两阶段分析[J].改革与战略, 2018, 34(11):102-109. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ggyzl201811018
    [6]
    BLOOM N. The impact of uncertainty shocks [J]. Econometrica, 2009, 77(3):623-85. doi: 10.3982/ECTA6248/full
    [7]
    谢廷宇, 张玲瑜.经济政策不确定性对就业率的影响研究—来自21个经济体的经验证据[J].华东经济管理, 2020, 34(1):86-93. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hdjjgl202001010
    [8]
    许志伟, 王文甫.经济政策不确定性对宏观经济的影响—基于实证与理论的动态分析[J].经济学, 2019, 18(1):23-50. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jjx201901002
    [9]
    潘家栋, 韩沈超.经济政策不确定性对我国出口贸易影响的实证分析[J].浙江学刊, 2018(6):105-115. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=676635010
    [10]
    朱瑞博, 张路.国内经济不确定性是否抑制了外商直接投资?—基于时变参数向量自回归模型分析[J].上海经济研究, 2019(8):109-117. http://www.cnki.com.cn/Article/CJFDTotal-HSYJ201908012.htm
    [11]
    MCMULLEN J S, KIER A S. Trapped by the entrepreneurial mindset: opportunity seeking and escalation of commitment in the Mount Everest disaster[J]. Journal of Business Venturing, 2016, 31(6):663-686. http://www.sciencedirect.com/science/article/pii/S0883902616301446
    [12]
    王朝阳, 张雪兰, 包慧娜.经济政策不确定性与企业资本结构动态调整及稳杠杆[J].中国工业经济, 2018(12):134-151. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zggyjj201812009
    [13]
    李凤羽, 杨墨竹.经济政策不确定性会抑制企业投资吗?—基于中国经济政策不确定指数的实证研究[J].金融研究, 2015(4):115-129. http://www.cnki.com.cn/article/cjfdtotal-jryj201504008.htm
    [14]
    陈国进, 王少谦.经济政策不确定性如何影响企业投资行为[J].财贸经济, 2016(5):5-21. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=cmjj201605001
    [15]
    王贞洁, 王京.宏观经济不确定性、战略变化幅度与投资行为[J].管理评论, 2018, 30(7):207-217. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=glpl201807019
    [16]
    顾夏铭, 陈勇民, 潘士远.经济政策不确定性与创新—基于我国上市公司的实证分析[J].经济研究, 2018, 53(2):109-123. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jjyj201802008
    [17]
    ATANASSOV J, JULIO B, LENG T. The bright side of political uncertainty: the case of R & D [Z]. Working Paper, 2015.
    [18]
    邓美薇.经济政策不确定性对企业绩效的影响—来自中国非金融类上市公司的经验证据[J].工业技术经济, 2019, 38(2):97-106. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gyjsjj201902012
    [19]
    LE Q, ZAK P. Political risk and capital flight[J]. Journal of International Money & Finance, 2006(25):308-329.
    [20]
    DIXIT A, PINDYCK R. Investment under uncertainty [M]. Princeton: Princeton University Press, 1994:135-174.
    [21]
    李庆, 赵新泉, 葛翔宇.政策不确定性对可再生能源电力投资影响研究—基于实物期权理论证明与分析[J].中国管理科学, 2015, 23(增刊1):445-452. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=90717175504849538349485456
    [22]
    GULEN H, ION M. Policy uncertainty and corporate investment[J]. Review of Financial Studies, 2016, 29(1):523-564.
    [23]
    BHATTACHARYA U, HSU P H, TIAN X, et al. What affects innovation more: policy or policy uncertainty?[J]. Journal of Financial and Quantitative Analysis, 2017, 52(5):1869-1901. http://econpapers.repec.org/article/cupjfinqa/v_3a52_3ay_3a2017_3ai_3a05_3ap_3a1869-1901_5f00.htm
    [24]
    赫永达, 孙巍.中国能源类行业周期波动及其对宏观经济的时变影响[J].广东财经大学学报, 2017, 32(3):28-38. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gdsxyxb201703003
    [25]
    吴金明, 邵昶.产业链形成机制研究—"4+4+4"模型[J].中国工业经济, 2006(4):36-43. http://www.cnki.com.cn/Article/CJFDTotal-GGYY200604004.htm
    [26]
    张天华, 张少华.偏向性政策、资源配置与国有企业效率[J].经济研究, 2016, 51(2):126-139. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jjyj201602010
    [27]
    刘锡良, 周彬蕊, 许坤.企业风险承担差异:所有制特性抑或禀赋特征?[J].经济评论, 2018(5):106-119. http://www.cqvip.com/Main/Detail.aspx?id=676357504
    [28]
    BELO F, GALA V D, LI J. Government spending, political cycles, and the cross section of stock returns[J]. Journal of Financial Economics, 2013, 107(2):305-324. http://www.sciencedirect.com/science/article/pii/S0304405X1200181X
    [29]
    王义中, 宋敏.宏观经济不确定性、资金需求与公司投资[J].经济研究, 2016(2):4-17. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=48722282
    [30]
    BACKER S R, BLOOM N, DAVIS S J. Measuring economic policy uncertainty[J]. The Quarterly Journal of Economics, 2016, 131(4):1593-1636. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=314904a1e7fc4c189b38dd941b26c528
    [31]
    盛明泉, 汪顺, 商玉萍.金融资产配置与实体企业全要素生产率:"产融相长"还是"脱实向虚"[J].财贸研究, 2018, 29(10):87-97. http://www.cnki.com.cn/Article/CJFDTotal-CMYJ201810008.htm
    [32]
    朱学红, 王苗, 丰超, 等.中国有色金属行业产能利用率的测算与分析[J].统计与决策, 2017(14):122-126. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=672649635
    [33]
    王洪盾, 岳华, 张旭.公司治理结构与公司绩效关系研究—基于企业全要素生产率的视角[J].上海经济研究, 2019(4):17-27. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=shjjyj201904003
    [34]
    郝威亚, 魏玮, 温军.经济政策不确定性如何影响企业创新?—实物期权理论作用机制的视角[J].经济管理, 2016, 38(10):40-54. http://www.cnki.com.cn/Article/CJFDTotal-JJGU201610006.htm
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