影响占碑省行政区/城市经济不平等的因素

F. Yang, Mempengaruhi Ketimpangan, Ekonomi Kabupaten, Kota, Di Provinsi, Jambi Almizan, Irsadunas
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引用次数: 0

摘要

本研究的题目是《2015-2018 年影响占碑省县/市经济不平等的因素》。本研究旨在分析2015-2018年占碑省集聚、劳动力和投资对县/市经济不平等的影响。本研究采用的分析方法是面板数据回归法,时间跨度为 2015-2018 年,数据来源于占碑中央统计局。统计检验包括普通检验、固定检验和随机检验,以及进行周氏检验和豪斯曼检验,以获得待选检验。数据分析结果表明,在三个集聚变量(X1)中,Sig.(0.040)<(0.05),所以它对 2015-2018 年占碑省经济不平等有部分显著影响。劳动力变量(X2)的 sig.(0.8846) (0.05),因此它对 2015-2018 年占碑省的经济不平等没有显著影响。投资(X3) 投资(X3)的 sig.(0.407) (0.05),因此它对 2015-2018 年占碑省的经济不平等没有显著影响。同时得到计算的 F 值为 4.460,概率值(Prob F-statistic)为 0.000。因为概率值为 0.000 F 表(2.78),所以可以得出结论:所有自变量即集聚度、工人数量、投资共同对 2015-2018 年占碑省经济不平等有显著影响。根据决定系数的值,方程中的自变量即集聚、劳动力、投资共同影响了 2015-2018 年占碑省经济不平等的 65.9%,而剩余的 24.1%由模型外的其他因素解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Faktor-Faktor yang Mempengaruhi Ketimpangan Ekonomi Kabupaten/Kota di Provinsi Jambi
This research is entitled Factors Influencing District/City Economic Inequality in Jambi Province in 2015-2018. This study aims to analyze the effect of Agglomeration, Labor, and Investment on Regency/City Economic Inequality in Jambi Province in 2015-2018. The analytical method used in this study is panel data regression for the 2015-2018 period which comes from the Jambi Central Bureau of Statistics. Statistical testing includes Common, Fixed, and Random tests, as well as conducting the Chow Test and Hausman Test to obtain the test to be selected. The results of the data analysis show that among the three agglomeration variables (X1) it has a sig. (0.040) < (0.05), so it partially has a significant effect on economic inequality in Jambi Province in 2015-2018. Labor variable (X2) has a sig. (0.8846) (0.05), so partially it has no significant effect on economic inequality in Jambi Province in 2015-2018. Investment (X3) Investment (X3) has a sig. (0.407) (0.05), so partially it has no significant effect on economic inequality in Jambi Province in 2015-2018. Simultaneously obtain a calculated F value of 4.460 with a Probability value (Prob F-statistic) of 0.000. Because the probability value is 0.000 <0.05 (α) and F count (358.6774) > F table (2.78), it can be concluded that all independent variables namely agglomeration, number of workers, investment together have a significant effect on economic inequality in Jambi Province from 2015 to 2018. Based on the value of the coefficient of determination, the independent variables in the equation, namely agglomeration, labor, and investment jointly affect 65.9% of economic inequality in Jambi Province in 2015-2018, while the remaining 24.1% is explained by other factors outside the model.
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