李占乐,魏楠

• 1:郑州大学政治与公共管理学院

摘要(Abstract)：

有关中国公民网络政治参与影响因素已累积了一定数量的实证研究,但研究结论大不相同。因此,仍需对相关实证研究进行权重分析和元分析,以得到量化整合结果。本文从符合筛选标准的62篇文献中依据编码表提取相关信息,并进行变量整合。通过权重分析,从462组变量关系中得到12组最好预测变量和5组潜力预测变量,除"参与行为—线上关系网络"在元分析中不显著外,其余16组变量关系均呈显著正相关。通过理论分析对变量进一步整合,共得到6个对网络政治参与具有良好解释效力的变量,即感知有用性、感知易用性、社会影响、政府信任、平台信任以及政治效能感。但政治效能感的影响未通过失效安全系数检验,解释效力仍需更多研究予以验证。研究发现为厘清中国公民为何进行网络政治参与提供了支撑和较为完整的图景,可作为后续研究的基础。

关键词(KeyWords)： 网络政治参与;影响因素;权重分析;元分析

Abstract:

Keywords:

基金项目(Foundation): 国家社会科学基金一般项目“新媒体环境下公民有效参与公共决策制度建设研究”（项目批准号：14BZZ090）资助

作者(Author): 李占乐,魏楠

参考文献(References)：

• 曹堂哲.2014.公共管理研究方法——基于公共管理问题类型学的新体系[M].北京:北京大学出版社:330.Cao T Z.2014.Research method of public management:A new system based on the problem typology of public management[M].Beijing:Peking University Press:330.(in Chinese)
• 陈型颖,王衡.2018.政治信任、社会网络与抗争倾向:基于53个国家和地区的实证比较[J].社会,38(1):186-214.Chen X Y,Wang H.2018.Political trust,social network and protest potential:An empirical comparison of fifty-three countries and regions around the world[J].Chinese Journal of Sociology,38(1):186-214.(in Chinese)
• 达尔R A,斯泰恩布里克纳B.2012.现代政治分析[M].吴勇,译.北京:中国人民大学出版社:137-138.Dahl R A,Stinebrickner B.2012.Modern political analysis[M].Wu Y,trans.Beijing:China Renmin University Press:137-138.(in Chinese)
• 郭小安.2011.网络民主的可能及限度[M].北京:中国社会科学出版社:164-165.Guo X A.2011.The possibility and limit of internet democracy[M].Beijing:China Social Sciences Press:164-165.(in Chinese)
• 黄少华.2018.社会资本对网络政治参与行为的影响——对天津、长沙、西安、兰州四城市居民的调查分析[J].社会学评论,6(2):19-32.Huang S H.2018.Impact of social capital on online political involvement of citizens:A research in Tianjin,Changsha,Xi'an and Lanzhou[J].Sociological Review of China,6(2):19-32.(in Chinese)
• 李燕.2016.中国电子政务公众接受研究回顾——基于内容分析与权重分析的文献述评[J].情报杂志,35(2):168-174.Li Y.2016.A content analysis and weight analysis of domestic research on citizen acceptance of E-government:A literature review[J].Journal of Intelligence,35(2):168-174.(in Chinese)
• 李燕,朱春奎,姜影.2017.政治效能感、政府信任与政府网站公民参与行为——基于重庆、武汉与天津三地居民调查数据的实证研究[J].北京行政学院学报,(6):35-43.Li Y,Zhu C K,Jiang Y.2017.Political efficacy,trust for government and the behavior of citizen participation in government website:Based on the empirical research on survey data of residents in Chongqing,Wuhan and Tianjin[J].Journal of Beijing Administrative Institute,(6):35-43.(in Chinese)
• 李占乐,魏楠.2019.网络政治参与动力因素:研究进展及中国议题[J].情报杂志,38(6):95-101.Li Z L,Wei N.2019.Motivation factors of online political participation:Research progress and china issues[J].Journal of Intelligence,38(6):95-101.(in Chinese)
• 杨克虎.2018.循证社会科学的产生、发展与未来[J].图书与情报,(3):1-10.Yang K H.2018.Evidence-based social science:The origin,development and prospects[J].Library&Information,(3):1-10.(in Chinese)
• Ajzen I.1991.The theory of planned behavior[J].Organizational Behavior and HumanDecision Processes,50(2):179-211.
• Baptista G,Oliveira T.2016.A weight and a meta-analysis on mobile banking acceptance research[J].Computers in Human Behavior,63:480-489.
• Borenstein M,Hedges L V,Higgins J P T,et al.2009.Introduction to meta-analysis[M].Chichester:John Wiley&Sons:277-280.
• Bowman N A.2012.Effect sizes and statistical methods for meta-analysis in higher education[J].Research in Higher Education,53(3):375-382.
• Campbell A,Gurin G,Miller W E.1954.The voter decides[M].England:Row,Peterson and Company:187.
• Cohen J.1988.Statistical power analysis for the behavioral sciences[M].Mahwah:Lawrence Erlbaum Associates:79-81.
• Cooper H M.1982.Scientific guidelines for conducting integrative research reviews[J].Review of Educational Research,52(2):291-302.
• Cooper H M.2015.The battle over homework:Common ground for administrators,teachers,and parents[M].3nd ed.New York:Simon and Schuster.
• Cooper H M.2016.Research s Vnthesis and meta-analysis:A step-by-step approach[M].5th ed.Washington DC:SAGE Publications.
• Davis F D,Bagozzi R P,Warshaw P R.1989.User acceptance of computer technology:A comparison of two theoretical models[J].Management Science,35(8):982-1003.
• Gladwell M.2010.Small change:Why the revolution will not be tweeted[J].The New Yorker,4:42-49.
• Granovetter M S.1973.The strength of weak ties[J].American Journal of Sociology,78(6):1360-1380.
• Harrison J S,Banks G C,Pollack J M,et al.2017.Publication bias in strategic management research[J].Journal of Management,43(2):400-425.
• Hunter J E,Schmidt F L.2004.Methods of meta-analysis:Correcting error and bias in research findings[M].2nd ed.Thousand Oaks:SAGE Publications,Inc:192.
• Jeyaraj A,Rottman J W,Lacity M C.2006.A review of the predictors,linkages,and biases in IT innovation adoption research[J].Journal of Information Technology,21(1):1-23.
• King W R,He J.2006.A meta-analysis of the technology acceptance model[J].Information&Management,43(6):740-755.
• Miller A H,Listhaug 0.1990.Political parties and confidence in government:A comparison of Norway,Sweden and the United States[J].British Journal of Political Science,20(3):357-386.
• Naranjo Zolotov M,Oliveira T,Casteleyn S.2018.E-participation adoption models research in the last 17 years:A weight and meta-analytical review[J].Computers in Human Behavior,81:350-365.
• Peterson R A,Brown S P.2005.On the use of beta coefficients in meta-analysis[J].Journal ofApplied Psychology,90(1):175-181.
• Rana N P,Dwivedi Y K,Williams M D.2015.A meta-analysis of existing research on citizen adoption of e-government[J].Information Systems Frontiers,17(3):547-563.
• Ringquist E J.2013.Meta-analysis for public management and policy[M].West Sussex:John Wiley&Sons:6,20.
• Rosenthal R.1979.The file drawer problem and tolerance for null results[J].Psychological Bulletin,86(3):638-641.
• Rothstein H R,Sutton A J,Borenstein M.2005.Publication bias in meta-analysis[M].West Sussex:John Wiley&Sons:1-7.
• Sseb(?)(?),Rose J,Flak L S.2008.The shape of eParticipation:Characterizing an emerging research area[J].Government Information Quarterly,25(3):400-428.
• Suurmond R,van Rhee H,Hak T.2017.Introduction,comparison,and validation of MetaEssentials:A free and simple tool for meta-analysis[J].Research Synthesis Methods,8(4):537-553.
• Taherdoost H.2018.A review of technology acceptance and adoption models and theories[J].Procedia Manufacturing,22:960-967.
• Venkatesh V,Morris M G,Davis G B,et al.2003.User acceptance of information technology:Toward a unified view[J].MIS Quarterly,27(3):425-478.
• Venkatesh V,Davis F D.2000.A theoretical extension of the technology acceptance model:Four longitudinal field studies[J].Management Science,46(2):186-204.
• Wacker J G.1998.A definition of theory:Research guidelines for different theory-building research methods in operations management[J].Journal of Operations Management,16(4):361-385.
• Wilson D B.2001.Practical Meta-Analysis Effect Size Calculator[EB/OL].(2020-05-19)Available at https://campbellcollaboration.org/escalc/html/EffectSizeCalculator-Formulas.php.
• Wood J A.2008.Methodology for dealing with duplicate study effects in a meta-analysis[J].Organizational Research Methods,11(1):79-95.