资本、工作时间、劳动力、生产和销售的影响,以及典型的楠榜小企业收入的影响

Lestari Wuryanti, Erna Listyaningsih, Eka Fitriani
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摘要

中小企业(MSMEs)是有望帮助国民经济发展的部门之一。这使它能够为缩小群体之间的差距、减轻贫困和吸收劳动力做出贡献。本研究旨在确定资本、工作时间和工人数量的影响。生产总量,销售收入。本研究以楠榜典型芯片中心的中小微企业为研究对象。本研究共有38个样本,即愿意提供其财务数据信息的售货亭所有者,使用SPSS 22进行处理。从多元线性回归检验的结果可知,部分Sales变量(X5)的显著性值为0.015,小于0.05,说明其对收入的影响显著且显著,而资本(X1)、工作时间(X2)、工人人数(X3)、总产量(X4)变量的值大于0.05,说明其对收入没有影响。检验结果同时表明,所有X变量(资本、工作时间、工人人数、总产量、销售额)的显著性为0.006,小于0.05,这意味着它对收入有显著和显著的影响。决定系数R2的检验结果为0.389,即自变量对因变量的影响为38.9%,其余可能受到本研究变量之外的其他变量的影响。关键词:中小微企业,资金,工时,工人人数,总产量,销售额,收入
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Pengaruh Modal, Jam Kerja, Jumlah Tenaga Kerja, Jumlah Produksi, dan Penjualan Terhadap Pendapatan Usaha Mikro Kecil dan Menengah Pada Sentra Keripik Khas Lampung di Kedaton Bandar Lampung
Small and Medium Enterprises (MSMEs) are one of the sectors that are expected to help develop the national economy. this allows it to contribute to efforts to reduce disparities between groups, alleviate poverty, and absorb labor. This study aims to determine the effect of capital, working hours, and number of workers. Total production, and sales to revenue. The object of this research is MSMEs in the typical chips center of Lampung. There are 38 samples in this study, namely kiosk owners who are willing to provide information regarding their financial data, which are processed using SPSS 22. From the results of multiple linear regression tests, it is stated that partially the Sales variable (X5) has a significance of 0.015 less than 0.05 which means it has a significant and significant effect on income, while the variables of capital (X1), working hours (X2), number of workers (X3), and total production (X4) have values greater than 0.05 which means they have no effect on income. The test results simultaneously state that all X variables (capital, working hours, number of workers, total production, sales) have a significance of 0.006 which is smaller than 0.05 which means that it has a significant and significant effect on income. The test results of the coefficient of determination R2 are 0.389, which means that the independent variable has an influence of 38.9% on the dependent variable, while the rest may be influenced by other variables outside the variables in this study.Keyword : MSME, Capital, working hours, number of workers, total production, sales, income
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