Dataset of the study "The impact of Internet use on public sector employees' public service motivation: Empirical evidence from digital service delivery in China"
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This study utilized pooled cross-sectional data from the China Netizens Social Awareness Survey (CNSAS, 2017) and the China Netizens Social Awareness Survey (CNSAS, 2018) conducted under the supervision of Professor Deyong Ma at Renmin University of China. The CNSAS surveys were fielded in two waves: April-May 2017 and August 2018. Each wave encompassed 33 provincial-level administrative regions across China. The CNSAS 2017 incorporates the following variables: (1) The dependent variable includes Public Service Motivation (PSM), competence, relatedness and socialization. PSM is measured by four sub-dimensions: Achievement Motivation (APM), Commitment to Professional Values (CPV), Commitment to Organizational Mission (COM). (2) The independent variable includes Internet use, measured by collective involvement in online political news (CIOPN), individual involvement in online political news (IIOPN), collective involvement in online political expression (CIOPE), and individual involvement in online political expression (IIOPE). (3) The control variables includes age, political affiliation, gender, income level, and educational attainment. The CNSAS 2018 includes all thses variables except cocialization. Due to this data similarities, we combine both years into a pooled cross-sectional dataset. We selected 956 government employees and staff from public institutions ("Shiye danwei") for analysis. The main text uses variables from the pooled data, as detailed in "Main text (1) - The Impact of Internet Use on Public Sector Employees' Public Service Motivation: Empirical Evidence from Digital Service Delivery in China," and variables from the 2017 data, as shown in "Main text (2) - The Impact of Internet Use on Public Sector Employees' Public Service Motivation: Empirical Evidence from Digital Service Delivery in China." The appendix using variables from the pooled cross-sectional data, as presented in "Appendix - The Impact of Internet Use on Public Sector Employees' Public Service Motivation: Empirical Evidence from Digital Service Delivery in China." Questionnaire Link: 1)2017: http://www.cnsda.org/index.php?r=projects/view&id=69084413 2)2018: http://www.cnsda.org/index.php?r=projects/view&id=83249950
本研究使用了由中国人民大学马德勇教授主持开展的《中国网民社会意识调查（China Netizens Social Awareness Survey, CNSAS）2017》与《中国网民社会意识调查（CNSAS, 2018）》的合并横截面数据。该调查分两波开展，分别为2017年4—5月与2018年8月，每一波调查均覆盖中国33个省级行政区。 CNSAS 2017包含以下变量：(1) 因变量：公共服务动机（Public Service Motivation, PSM）、胜任感、归属感与社会融入。其中公共服务动机通过四个子维度衡量：成就动机（Achievement Motivation, APM）、专业价值观承诺（Commitment to Professional Values, CPV）、组织使命承诺（Commitment to Organizational Mission, COM）。(2) 自变量：互联网使用行为，具体包括在线政治新闻集体参与度（collective involvement in online political news, CIOPN）、在线政治新闻个体参与度（individual involvement in online political news, IIOPN）、在线政治表达集体参与度（collective involvement in online political expression, CIOPE）与在线政治表达个体参与度（individual involvement in online political expression, IIOPE）。(3) 控制变量：年龄、政治面貌、性别、收入水平与受教育程度。CNSAS 2018包含除社会融入外的全部上述变量。 鉴于两年数据具有相似性，我们将二者合并为横截面合并数据集。本研究最终筛选出956名政府雇员与事业单位（"Shiye danwei"）工作人员作为分析样本。正文部分分别使用合并数据集变量与2017年数据集变量，具体对应《正文1——互联网使用对公共部门雇员公共服务动机的影响：来自中国数字政务服务的经验证据》与《正文2——互联网使用对公共部门雇员公共服务动机的影响：来自中国数字政务服务的经验证据》；附录则使用横截面合并数据集变量，对应《附录——互联网使用对公共部门雇员公共服务动机的影响：来自中国数字政务服务的经验证据》。 问卷链接如下：1) 2017年问卷：http://www.cnsda.org/index.php?r=projects/view&id=69084413；2) 2018年问卷：http://www.cnsda.org/index.php?r=projects/view&id=83249950
