POLICY TO DEVELOP THE CONTINGENT OF CIVIL SERVANTS AT COMMUNE LEVEL: A SURVEY IN HAI PHONG CITY

• Autor(a) principal: Tung, Phuong Huu
• Data de Publicação: 2022
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Lex Humana
• Texto Completo: https://seer.ucp.br/seer/index.php/LexHumana/article/view/2332
• topic: Civil servant; Commune; Developing a contingent of civil servants; Hai Phong city

In recent years, the City Party Committee, People's Council, and People's Committee of the city have had many policies and solutions to strengthen and improve the quality of the grassroots political system in general and the political system at the grassroots level. Commune level in particular: Party committees and district authorities often pay attention to implementing guidelines and policies of the Central Committee, City Party Committee, People's Council, City People's Committee, propose many solutions to strengthen , innovate and improve the quality and efficiency of the local government's operations; focus on improving the qualifications of commune-level cadres and civil servants, thereby maintaining political stability and socio-economic development at the grassroots level, basically meeting the requirements and tasks in the current situation. The author uses the method of collecting secondary data, and primary data on the contingent of civil servants in Hai Phong city through 6 independent variables: Quantity (SL); Structure (CC); Physical Strength (TL); Knowledge (KT); Skills (KN); Mental strength (TL) affecting the independent variable is the policy of developing the contingent of civil servants at commune level in Hai Phong city (PC). The author uses the linear regression method through the regression equation by E-view software and uses the least squares method (OLS) to determine the regression coefficient. The result is that there are 5 other independent variables all having Sig. ≤ 0.05, so the variables SL, CC, KT, KN, TL are all correlated and statistically significant with the variable HH with the significance and confidence level > 95%. The remaining variation (TH) has Sig. = 0.077 > 0.05 correlation is not close, statistically significant is quite low with dependent variable.