Regional Differences in Operation Efficiency of Provincial Museums in China:Trend,Reasons,and Implications
HU Hui-yuan1,2
1. College of Communication,East China University of Political Science and Law,Shanghai,201620; 2. Institute of Cultural Industry Development of Yangtze River Delta,Nanjing University,Nanjing,Jiangsu,210093
Abstract：The museum is an important part of regional public cultural service system.By introducing the Balanced Scorecard theory (BSC) to construct a three-stage DEA expansion model,our research avoids problems such as insufficient basis for index selection and no consideration of the impact of external environment when only DEA is used.We use the cross-sectional data in 2017 to measure the service efficiency of provincial museums in China and compare their differences.Our findings are as follows:at national level,most regional museums still increase in the returns to scale,but their operation efficiency is generally low due to small scale;at regional level,museums show imbalance with the operation efficiency typical decreasing from east to west.Apart from internal factors such as management and scale,external factors such as economic development,government support,higher education,degree of fiscal decentralization and fiscal expenditure preference may also impact regional differences in service efficiency of provincial museums in China.From the perspective of efficiency,currently the government should change from “fiscal subsidies”to “policy guidance”in the governance of museums,namely,to appropriately reduce financial subsidies and introduce loose policies to guide museums to improve management and ability for self-development.
[1] 余冬林.我国东中西部地区公共博物馆投入及其绩效评价[J].宁夏社会科学,2016,(5):245-250. [2] 程文辉.基于DEA三阶段模型的公共文化服务预算效率评价[J].统计与决策,2017,(23):157-160. [3] Basso A,Casarin F,Funari S.How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums[J].Omega,2018,(81):67-84. [4] Kaplan R S,Norton D P.Transforming the balanced scorecard from performance measurement to strategic management:Part I[J].Accounting horizons,2001,15(1):87-104. [5] 蔡炯,高岚.我国生态型国有林场绩效评价研究[J].财经问题研究,2013,(9):45-52. [6] 汪波,史容.基于BSC-DEA超效率评价模型构建及应用[J].天津大学学报,2009,42(7):655-660. [7] 于丽英,戴玉其.基于投入产出法和平衡计分卡的创新集群识别方法研究——以上海市为例[J].科技进步与对策,2011,28(7):74-79. [8] 吴明隆.问卷统计分析实务——SPSS操作与应用[M].重庆:重庆大学出版社,2010.208. [9] 陈英,洪源.考虑环境因素的我国省域公共图书馆效率测度及优化治理——基于三阶段DEA方法[J].图书馆学研究,2015,(11):17-25. [10] 汤旖璆,施洁.财政分权、地方政府赶超行为与环境治理效率——基于87个城市数据的门槛效应及传导机制分析[J].贵州财经大学学报,2019,(5):25-34.
2020, Vol. 37 
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