| 199 | 0 | 106 |
| 下载次数 | 被引频次 | 阅读次数 |
提高财政资金使用绩效是用好财政政策的重要抓手,政府信息公开能够通过社会监督提高政府支出效率。本文基于2009—2021年中国地级市层面数据,采用多时点双重差分模型实证检验公共数据开放对政府支出效率的影响及作用机制。研究结果显示:公共数据开放能够提高政府支出效率;公共数据开放对政府支出效率的提高效应发生在政民互动程度低、行政壁垒低和数据开放水平高的地区;公共数据开放通过促进公共服务竞争、提高政府回应性和加强社会监督等路径提高政府支出效率;公共数据开放改善了城市内企业的外部环境,降低了企业的制度性交易成本,提高了城市创新活力。本文不仅丰富了公共数据开放与政府支出效率关系的相关研究,也为提高政府支出效率、保障财政可持续性和推动创新型国家建设提供了参考。
Abstract:Enhancing government performance is central to modernizing local governance capacity and systems. In recent years, evaluations of government expenditure behavior and fiscal policy have increasingly emphasized expenditure efficiency. Further advancing government information disclosure can improve expenditure efficiency through public oversight. However, existing literature offers limited studies linking government information disclosure to expenditure efficiency, particularly from the perspective of open public data.This paper treats the rollout of municipal open data platforms across Chinese cities as a quasi-natural experiment. Employing city-level data and a difference-in-differences(DID) model, this paper finds that open public data significantly enhances local government expenditure efficiency. This effect is more pronounced in regions characterized by lower government-citizen interaction levels, lower administrative barriers, and higher data openness. Results remain robust after addressing endogeneity problems, model specification biases, and confounding policies. Mechanism analysis reveals that open data operates by strengthening internal and external audit scrutiny, fostering intergovernmental competition in public service provision(supply-side), and improving government responsiveness(demand-side). Further analysis shows that open data enhances urban innovation vitality by improving firms' external environments and reducing institutional transaction costs.The contributions of this paper are threefold. First, it fills a research gap in evaluating the impact of open public data, especially on government expenditure efficiency. In the digital era, this paper reveals how data empowers efficiency, offering new insights for modernizing national governance. Second, it systematically examines mechanisms linking open data to expenditure efficiency. While existing studies focus on fiscal pressure or central-local fiscal relations, this paper broadens the analytical lens to data openness. Third, it extends analysis to innovation, addressing the underexplored impact of open data on firms' external environments. By bridging macro-micro perspectives, it enriches urban innovation literature.This paper elucidates the logic through which open government data affects expenditure efficiency, providing policy references for enhancing fiscal sustainability and facilitating innovation-driven development. This paper argues that to enhance the efficiency of government expenditures, it is necessary to improve the public data management system, elevate the quality of government information disclosure, establish reasonable regulations for data resources, and refine the performance evaluation mechanisms for local governments.
[1]李明,王帅.中国地方财政支出绩效(2008—2020):趋势与周期[J].社会科学文摘,2023(3):79-81.
[2]复旦大学数字与移动治理实验室.中国地方公共数据开放利用报告——城市(2023年度)[R/OL].(2023-11-01)[2025-04-23]. http://ifopendata.fudan.edu.cn/report.
[3]刘尚希.加强数字财政建设为财政治理现代化赋能[J].中国财政,2022(4):1.
[4]复旦大学数字与移动治理实验室.中国地方公共数据开放利用报告——城市(2024年度)[R/OL].(2024-09-26)[2025-04-23]. http://ifopendata.fudan.edu.cn/report.
[5] PERSSON T, ROLAND G, TABELLINI G. Separation of powers and political accountability[J]. The quarterly journal of economics,1997,112(4):1163-1202.
[6]沈坤荣,林剑威.链“岛”成“陆”:公共数据开放的技术创新效应研究[J].管理世界,2025,41(2):83-104.
[7]蔡运坤,周京奎,袁旺平.数据要素共享与城市创业活力——来自公共数据开放的经验证据[J].数量经济技术经济研究,2024,41(8):5-25.
[8]陈晓红,李杨扬,宋丽洁,等.数字经济理论体系与研究展望[J].管理世界,2022,38(2):208-224.
[9] DU J,GAO H,WEN H,et al. Public data access and stock price synchronicity:evidence from China[J]. Economic modelling,2024,130:106591.
[10]陈艳利,蒋琪.数据生产要素视角下开放公共数据与企业创新——基于建立公共数据开放平台的准自然实验[J].经济管理,2024,46(1):25-46.
[11]张晏,龚六堂.分税制改革、财政分权与中国经济增长[J].经济学(季刊),2005(4):75-108.
[12] OATES W E. Fiscal decentralization and economic development[J]. National tax journal,1993,46(2):237-243.
[13]陈涛,董艳哲,马亮,等.推进“互联网+政务服务”提升政府服务与社会治理能力[J].电子政务,2016(8):2-22.
[14]沙勇忠,王峥嵘,詹建.政民互动行为如何影响网络问政效果?——基于“问政泸州”的大数据探索与推论[J].公共管理学报,2019,16(2):15-27+169.
[15] TIEBOUT C M. A pure theory of local expenditures[J]. Journal of political economy,1956,64(5):416-424.
[16]宋弘,罗吉罡,蒋灵多.城市落户门槛变化如何影响人才流动与产业创新[J].财贸经济,2022,43(5):82-95.
[17] AGUIAR M, BILS M. Has consumption inequality mirrored income inequality?[J]. The American economic review,2015,105(9):2725-2756.
[18]韦诸霞,周均旭.政府购买社会组织公共服务的三重机制与变革路径[J].求实,2017(12):74-83.
[19]傅勇,张晏.中国式分权与财政支出结构偏向:为增长而竞争的代价[J].管理世界,2007,23(3):4-12+22.
[20]郑建君,高妍春.政府回应性、政治支持与政治参与的影响关系——基于济世兴邦政治价值观的调节分析[J].厦门大学学报(哲学社会科学版),2024,74(2):37-48.
[21] TOLBERT C J,MOSSBERGER K. The effects of e-government on trust and confidence in government[J]. Public administration review,2003,66(3):354-369.
[22]陈军亚,姜修海.数字平台何以驱动政府回应性治理?——基于Y市“一接就办”平台的案例研究[J].电子政务,2024(4):56-68.
[23]徐超,庞雨蒙,刘迪.地方财政压力与政府支出效率——基于所得税分享改革的准自然实验分析[J].经济研究,2020,55(6):138-154.
[24]缪小林,王婷,高跃光.转移支付对城乡公共服务差距的影响——不同经济赶超省份的分组比较[J].经济研究,2017,52(2):52-66.
[25]李永友,李加.财政立法能够提高财政支出效率吗?[J].财经论丛,2024(4):5-15.
[26]方锦程,刘颖,高昊宇,等.公共数据开放能否促进区域协调发展?——来自政府数据平台上线的准自然实验[J].管理世界,2023,39(9):124-142.
[27] BAKER A C, LARCKER D F,WANG C C Y. How much should we trust staggered difference-in-differences estimates?[J]. Journal of financial economics,2022,144(2):370-395.
[28] SUN L,ABRAHAM S. Estimating dynamic treatment effects in event studies with heterogeneous treatment effects[J]. Journal of econometrics,2021,225(2):175-199.
[29] CALLAWAY B,SANT A P. Difference-in-differences with multiple time periods[J]. Journal of econometrics,2021,225(2):200-230.
[30] DE CHAISEMARTIN C,D’HAULTFOEUILLE X. Two-way fixed effects estimators with heterogeneous treatment effects[J]. The American economic review,2020,110(9):2964-2996.
[31] RAMBACHAN A,ROTH J. A more credible approach to parallel trends[J]. Review of economic studies,2023,90(5):2555-2591.
[32] ARKHANGELSKY D, ATHEY S, HIRSHBERG D,et al. Synthetic difference in differences[J]. The American economic review,2021,111(12):4009-4118.
[33] OSTER E. Unobservable selection and coefficient stability:theory and evidence[J]. Journal of business&economic statistics,2019,37(2):187-204.
[34] GUO Z,?EVID D,BüHLMANN P. Doubly debiased LASSO:high-dimensional inference under hidden confounding[J]. Annals of statistics,2022,50(3):1320-1347.
[35] CHERNOZHUKOV V,CHETVERIKOV D,DEMIRER M,et al. Double/debiased machine learning for treatment and structural parameters[J]. Econometrics journal,2018,21(1):C1-C68.
[36]辜胜阻,杨建武,刘江日.当前我国智慧城市建设中的问题与对策[J].中国软科学,2013(1):6-12.
[37]何雨可,牛耕,逯建,等.数字治理与城市创业活力——来自“信息惠民国家试点”政策的证据[J].数量经济技术经济研究,2024,41(1):47-66.
[38]莫龙炯,张小鹿.政府预算法治化、财政透明度与地方财政效率——基于新《预算法》实施的证据[J].当代财经,2023(5):39-51.
[39]倪克金,刘修岩,梁文泉.数字接入与地方政府信任:兼论接触沟通是提升信任的有效方法吗?[J].经济学报,2022,9(4):216-242.
[40]马光荣,赵耀红.行政区划壁垒、边界地区公共品提供与经济发展[J].金融研究,2022(8):55-73.
[41]谷成,张家楠.财政分权、审计监督与地方政府回应性——来自市级民生财政支出的经验证据[J].财贸经济,2024,45(6):21-37.
[42]范合君,吴婷,何思锦“.互联网+政务服务”平台如何优化城市营商环境?——基于互动治理的视角[J].管理世界,2022,38(10):126-153.
[43] KIM J B,LEE E, TANG X,et al. Collusive versus coercive corporate corruption:evidence from demand-side shocks and supply-side disclosures[J]. Review of accounting atudies,2023,28:1929-1970.
[44]沈坤荣,林剑威,傅元海.网络基础设施建设、信息可得性与企业创新边界[J].中国工业经济,2023(1):57-75.
(1)质心是一个地理学概念,通常由地理信息系统通过空间分析计算得出,质心距离方法多被用于计算城市距离或分析区域特征。
(1)稳健性检验结果未在正文中列出,留存备索。
基本信息:
DOI:10.19654/j.cnki.cjwtyj.2025.10.006
中图分类号:F812.45;F49
引用信息:
[1]石绍宾,李兆辉,陈卓.信息公开的力量:公共数据开放提高政府支出效率了吗[J].财经问题研究,2025,No.503(10):64-77.DOI:10.19654/j.cnki.cjwtyj.2025.10.006.
基金信息:
教育部哲学社会科学研究重大攻关项目“健全现代预算制度研究”(23JZD010)