INFLUENCE OF URBAN LAND EXPROPRIATION ON CRIME RATE BASED ON AFFECTIVE DISORDER AND ANXIETY FACTORS

Abstract Background With the development of economy and the optimization of people's life, social contradictions are becoming increasingly prominent, resulting in a high crime rate. Therefore, this paper discusses the crime rate of Land Expropriation from this perspective, which has a certain practical significance. Especially from the perspective of emotional disorders and anxiety factors, it is more practical to check the crime rate of criminals. Research Objects and Methods the group research object group selected the elderly as the research object by using the convenient sampling method in Muye district and Hongqi District of Xinxiang City from March to April of the group year. Inclusion criteria: (1) age ≥ 60; (2) Speak clearly, have normal hearing, and be able to correctly understand and answer the questionnaire in groups; (3) I am willing to participate in this study and sign the informed consent form. Exclusion criteria: (1) local residents < 6 months; (2) There are serious physical group diseases and cannot cooperate with the investigators. A total of 550 questionnaires were distributed to the group (according to the rough group estimation method of sample size, the sample size is 5 ~ 10 times the number of variables, and considering the loss rate of 15% of the group, the sample size is 230 ~ 460, which can meet the needs of this study). 550 questionnaires were recovered, and 36 unqualified questionnaire groups such as incomplete reply items, no difference in answers to different questions, and obvious inconsistency between option answers and requirements were excluded. Finally, 514 valid questionnaires were obtained, and the effective recovery rate of the questionnaire group was 93.5%. The investigation method is to conduct on-site investigation by uniformly trained investigators, fully explain to the group, obtain understanding and cooperation, and distribute small gifts to the group on site. The investigator conducted a face-to-face questionnaire survey on the elderly in the community, and the group answers were filled in by the investigator. The general information questionnaire of the group includes basic information such as gender, age, education level, number of chronic agricultural diseases, original occupation, number of good friends, relationship with family, average monthly group income, physical health and so on. Results (1) the number of land requisitions has a significant impact on the agency rate of the dual land system. Every 1% increase in land acquisition will increase the crime rate by 0.420%. That is, using different indicators to measure crime rate and land expropriation, the results are still stable. (2) The impact of urban-rural dual land system in eastern, provincial capital and sub provincial cities on crime rate is not significantly different from that in other regions. Compared with non minority cities, the impact of urban-rural dual land system inhabited by ethnic minorities on the crime rate is 31.8%. The results of emotion survey showed that after controlling demographic variables, the correlation between depression and anxiety and cognitive emotion regulation strategies. The dimensions of self-blame, meditation, catastrophes, blaming others, reception, self-comfort, refocus planning, positive refocus and positive reappraisal were (4.66 ± 1.72), (5.01 ± 2.08), (4.31 ± 1.93), (4.32 ± 1.79), (6.40 ± 1.88), (5.58 ± 1.95) respectively (6.32±2.16), (5.47±1.95), (6.25 ± 1.87) points. The results of correlation analysis showed that the score of depression was positively correlated with self-blame, contemplation, catastrophes and blaming others (RRs values were 0.11, 0.24, 0.26 and 0.21, P < 0.05), and negatively correlated with reception, self-comfort, refocus planning, active refocus and positive reappraisal (RRs values were -0.13, - 0.13, - 0.17, - 0.11 and -0.19, P < 0.05); Anxiety score and self-blame, meditation. Catastrophes and blaming others were positively correlated (RRs values were 0.07, 0.28, 0.33 and 0.23, respectively, P < 0.05), and negatively correlated with acceptance, self-comfort, refocus planning, active refocus and positive reappraisal (RRs values were -0.10, -0.08, -0.12, -0.05 and -0.12, respectively, P < 0.05). Conclusion This paper combs the typical facts of the dual system of urban land acquisition, and puts forward the hypothesis that land acquisition increases the probability of crime, so as to promote the rise of crime rate. Then, OLS and 2SLS estimation methods are used to verify the research theory, and further verify the impact of land acquisition activities on the crime rate in different regions, cities and ethnic minority inhabited areas. The main conclusions are as follows: after controlling other explanatory variables, the amount of land acquisition has a significant impact on the crime rate. Every 1% increase in the amount of land acquisition will increase the crime rate by 0.420%. When land use and crime are measured in different ways, the results are still reliable. The impact of land acquisition in the eastern region, provincial capital cities and sub provincial cities on the crime rate is not significantly different from that in other regions. Compared with the amount of land acquisition in non minority inhabited cities, the amount of land acquisition in minority inhabited cities has a greater impact on the crime rate, which is 31.8%. The policy implications of the above conclusions are obvious. In order to curb the rapid rise of urban crime, but also to create a more harmonious society and make people's lives happier and more stable. However, the limitation of this paper is that the use method is more traditional and not novel enough. Acknowledgments Open Fund for scientific research and innovation platform of Hunan Provincial Department of Education (20k058), Hunan Provincial Department of Finance (2021.22), 2022 project of Hunan Social Science Achievement Evaluation Committee (xsp22ybc443); Supported by the general principles of Shanghai philosophy and Social Sciences Planning (2019bjb021) and the soft science research plan of Henan Province (192400410320).