Industry And Regional Differences Of Job Satisfaction In China

Over the past few decades, demographic dividend brought China great benefit. However, in recent years, China’s population structure has undergone tremendous changes; the aging problem is becoming more and more serious and the proportion of labor declines rapidly. Laborers are the core of enterprise organization. Laborer’s job satisfaction impacts enterprise’s production efficiency and operating results, so more and more enterprises carry out the job satisfaction survey. Due to the differences of resources, working conditions, development opportunities, pay levels in different industries and regions, job satisfactions have industry and regional differences, it is of great practical significance to analyze the differences of job satisfactions in different industries and regionals.This paper is based on the data of the survey in 2010 of the project China Family Panel Studies; firstly, reviewed the studies of job satisfaction at home and abroad. Secondly, builds the SEM of job satisfaction. Thirdly, based on multiple groups SEM analyzed industrial and regional differences of the influence factors of job satisfaction in china. Finally, summarizes the empirical results of this paper and makes some suggestions to improve the laborer’s job satisfaction.Full text is divided into six chapters:The first chapter is the introduction. First analyzed the paper’s background and significance, then reviewed the literatures at home and abroad, at last, laid out the constructions of this paper.The second chapter is the introduction of SEM and the evaluation of the data. First introduced the SEM’s structures, advantages and stages of modeling, after that, evaluated the sample data.The third chapter is building and analyzing the SEM of Chinese laborer’s job satisfaction. Based on former researches, built the SEM and analyzed the job satisfaction’s differences between different demographic variables.The fourth chapter is studying the industry differences of laborer’s job satisfaction based on multiple groups’ SEM. This chapter first analyzes industry present situation of job satisfaction through a basic description of statistical methods. Then based on the multiple groups’SEM analyzed the industry differences of job satisfaction.The fifth chapter is studying the regional differences of laborer’s job satisfaction based on multiple groups’structural equation model. According to the economic development indexes, divided 31 provinces into 3 kinds regions. Then based on the SEM of chapter 3, analyzed the regional differences of job satisfaction.The sixth chapter is the conclusions and policy recommendations. Based on the empirical analysis results, summarized the current situation of employee job satisfaction and industry differences and regional differences, then puts forward suggestions to improve of Chinese workers job satisfaction.This paper’s findings are as follows. Firstly, Chinese laborer’s job satisfaction in the general level, laborers are general satisfied their jobs. Secondly, form different aspects, the safety satisfaction gets the highest score, then working environment satisfaction and working time satisfaction, the last is wage satisfaction and promotion satisfaction, they are in dissatisfaction level. Thirdly, Interpersonal relationships and Psychological Perception have positive impacts on job satisfaction. Fourthly, when taking personal information (included gender, age, education, marriage) as moderating variable, this paper found that different adjustment variable had same influence direction on job satisfaction; however, they have different influence degree. Fifthly, job satisfactions have obvious differences between industries. The last, job satisfactions also have obvious differences between regions; high developed region’s score are higher than the other two regions, Less-developed region’s safety satisfaction and working environment satisfaction are higher than comparatively developed region.Innovations of this paper are as follows. Firstly, CFPS (2010) database cover 25 provinces and 33600 adult questionnaires; it has high quality, so the results more scientific. Secondly, this paper used SEM; it can overcome the shortcomings of the traditional regression analysis method. This paper analyzed the differences between industries and between regions based on the Multiple Group SEM. Thirdly, when study the difference between regions, this paper used Hierarchical Cluster divided 31 provinces into 3 kinds regions based on the economic development indexes. Compared with the traditional features of regional division method is more timely and comparable.