scholarly journals Pengaruh preferensi sumber pembiayaan dan tingkat pendidikan terhadap pendapatan usaha mikro dan kecil di Indonesia

2021 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Ramel Yanuarta RE ◽  
Indah Krismanola
Keyword(s):  
Quantile Regression ◽  
Total Sample ◽  
Small Enterprises ◽  
Level Of Education ◽  
Business Units ◽  
Financing Preference ◽  
Micro And Small Enterprises ◽  
The Difference ◽  
Quantile Regression Method ◽  
Positive Effect

This research aims to analyze the effect of financing preference and the level of education of entrepreneurs on quintile of Micro and Small Enterprises (MSEs) revenue in Indonesia. The data used in this research is IFLS data (Indonesian Family Life Survey) waves 4 and 5 with a total sample of 10,336 business units that meet the criteria. Considering the heterogeneous characteristics of the data and the presence of outliers, this study used quantile regression method with a level of confidence (∝=0.05). The results of the analysis show that the education level of entrepreneurs has a positive effect on MSEs revenue and the effect is stronger on the higher MSEs revenue quantile. Meanwhile, the financing preference from own capital generates lower income compared to external or combined sources of financing and the difference is greater in the higher MSEs revenue quintile.Keywords: Micro and small enterprises, level of education, financing preference, quantile regression

scholarly journals Antecedents of the Utilization of Social Media and its Impact on Micro and Small Enterprises Performances

2019 ◽  
Vol 7 (2) ◽  
pp. 120-128
Author(s):  
Yulia Sari ◽  
Amir Hidayatulloh
Keyword(s):  
Social Media ◽  
Operating Performance ◽  
Sampling Technique ◽  
Sales Performance ◽  
Small Enterprises ◽  
Marketing Performance ◽  
Analysis Technique ◽  
Micro And Small Enterprises ◽  
Positive Effect ◽  
Special Region

This study aimed to analyze the antecedents of the utilization of social media for MSEs and its impact on performances. Performances such as; service performance, sales performance, marketing performance, internal operating performance and innovation performance. The population in this study were MSEs in the Special Region of Yogyakarta, the sampling technique used in this study was purposive sampling with criteria of (1) MSEs locationed in Sleman Regency and (2) MSEs which use social media (Faceebook, Instagram) for marketing purposes. Respondents in this study amounted to 100 MSEs. WarpPLS used for data analysis technique. The results showed that the utilization of social media by MSEs was influenced by interactivity, cost effectiveness and compatibility. Meanwhile, trust does not affect the utilization of social media. The utilization of social media by MSEs has a positive effect on each performances.  

scholarly journals PENGARUH PRODUK ARRUM TERHADAP PENGEMBANGAN USAHA MIKRO DAN KECIL PADA PEGADAIAN SYARIAH SE KOTA PEKANBARU

2017 ◽  
Vol 1 (02) ◽  
pp. 121-129
Author(s):  
Arfah Arfah
Keyword(s):  
Linear Analysis ◽  
Reliability Test ◽  
Small Enterprises ◽  
Economic Perspective ◽  
Validity Test ◽  
Determination Coefficient ◽  
Normality Assumption ◽  
Micro And Small Enterprises ◽  
Islamic Economic ◽  
Positive Effect

The Existence of Arrum Product that is offered by Islamic Pawnshop in the whole of Pekanbaru to micro and small entrepreneurs in the form of financing expected can increase business and can increase their turnover. To answer the problems that is investigated in this research, the researcher has aimed to determine how the implementation of the Islamic pawnshop products Arrum in the whole of Pekanbaru and whether financing products Arrum of the Islamic pawnshop has significant effect on the development of micro and small enterprises as well as the implementation of Islamic pawnshop Arrum products in the whole of Pekanbaru was reviewed according to Islamic economic perspective. To answer this problem, first, the researcher was testing the instruments that is the validity test and reliability test and the test continued normality assumption Regression Classical test and Simple Linear analysis using the program Statistical Product and Service Solutions (SPSS) version 20. The analysis result showed based on t count Arrum Products variable is 4.222. > t table (0,05: 42) =2,0181.That is significance value 0.00 is lower than 0,05 (0,000<0,05). It means there is positive effect between arum product toward micro and small so that Ho is rejected and Ha is accepted. If seen from determination coefficient result 0,308. It means that the effect of arrum products on the development of micro and small enterprises as 30.80% while the remaining 60.20 is influenced by other variables.

scholarly journals The Role Of Small Micro Enterprises In Production Snack And Product Innovation Towards Additional Community Economic Income In Tangerang City

2021 ◽  
Vol 19 (1) ◽  
pp. 87
Author(s):  
Heri Satrianto ◽  
Berlin Silaban ◽  
Rinintha Parameswari
Keyword(s):  
Product Innovation ◽  
Small And Medium Enterprises ◽  
Small Enterprises ◽  
Micro And Small Enterprises ◽  
Medium Enterprises ◽  
Positive Effect ◽  
Micro Enterprises ◽  
Economic Income

The study is intended to determine The Role of Small Micro Enterprises in Production Snack and Product Innovation towards an Additional Community Economic in Tangerang City. Micro small and medium enterprises (MSMEs) have an important role in the economy of Indonesian society. Indonesia government also views the existence of MSME businessman as important. The existence of MSMEs can have an effect on increasing people's income and also with the innovation of snacks that can attract consumers. The method used quantitative which was taken, it can be conclude that Whereas t count is 6,453> t table is 1,985 and the sig o.oo value <0.05, this shows that the role of Micro and Small Enterprises in production snacks has a significant and positive effect on the addition of community economic income in Tangerang City. That t count is 5,568> t table is 1,985 and the sig o.oo value <0.05, this shows that product innovation has a significant and positive effect on the addition of community economic income in Tangerang City. Whereas F count is 161,927> from F table of 3.09 and sig value of 0,000 <0.05, this shows that the Micro and Small Entrepreneurs Production snacks together with product innovation have a significant and positive effect on the addition of community economic income in Tangerang City.

scholarly journals PENGARUH KEANGGOTAN KOPERASI DAN KARAKTERISTIK PENGUSAHA TEMPE TERHADAP KINERJA KEUNTUNGAN USAHA TEMPE DI INDONESIA

2019 ◽  
Vol 7 (1) ◽  
pp. 63-78
Author(s):  
Zalwa Nahla Lubis ◽  
Amzul Rifin ◽  
Netti Tinaprilla
Keyword(s):  
Business Performance ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Raw Material ◽  
Small Enterprises ◽  
Business Units ◽  
Business Profit ◽  
Micro And Small Enterprises ◽  
And Training

The purpose of this study was to analyze the influence of entrepreneur characteristics  and other variables on the performance of tempe business in Indonesia. Tempe businesses were grouped into two categories, those were members and non-members of KOPTI. The business performance analyzed was business profit. Respondents in this study were micro and small enterprises, which were 1.150 business units of tempe producer. The analytical method used was multiple linear regression analysis. The data utilized were secondary data obtained from the Central Bureau of Statistics (BPS), the Ministry of Cooperatives and SMEs, as well as international publications, national publications and other sources related to the purpose of research. The results showed that age, raw material costs, number of workers, sales allocation, sales distribution, then assistance and training dummy significantly influenced the profit of tempe business.

scholarly journals Microfinance and Performance of Micro and Small Enterprises: Does Training have an Impact

2017 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Syed Hussain Haider ◽  
Muzaffar Asad ◽  
Minaa Fatima ◽  
Rana Zain Ul Abidin
Keyword(s):  
Performance Indicators ◽  
High Performance ◽  
Small Enterprises ◽  
Access To Finance ◽  
Policy Makers ◽  
The People ◽  
Significant Difference ◽  
Micro And Small Enterprises ◽  
The Difference ◽  
And Performance

Access to finance is considered as very important for gaining high performance of Micro and Small Enterprises (MSEs). Yet it has been observed that despite the availability of access to finance the performance of several MSEs is poor, which is a major hurdle in the growth rate of MSEs. The purpose of this study was to find the difference in certain performance indicators of MSEs who owners have been given training against those whose owners have never been given any kind of training. In order to conduct study survey research has been conducted and a sample of 384 MSEs was selected on simple random basis. The findings revealed that all the performance indicators including sales increase, income increase, assets increase, employment increase, and meeting household expenses have shown a significant difference among the two groups. The findings of the study are very important for the policy makers and the people who are involved in microfinance industry.

scholarly journals E-Commerce as Mechanism for Enhancing Micro and Small Enterprises: The Case of a Port Conurbated Area in the Southeast of Mexico

2017 ◽  
Vol 8 (1) ◽  
pp. 65
Author(s):  
Ignacio Ortiz Betancourt ◽  
Prof. María del Carmen Meza Téllez ◽  
Mariel Terrones Castro
Keyword(s):  
Information Technology ◽  
New Technologies ◽  
Small And Medium Enterprises ◽  
Small Enterprises ◽  
Business Units ◽  
Lack Of Information ◽  
Qualified Personnel ◽  
Micro And Small Enterprises ◽  
Medium Enterprises ◽  
The Relationship

E-commerce arised from the greater demand experienced by companies and the need of their administration to make better use of information technology and to find a better way to adapt the new technologies, in order to improve the relationship between customer and supplier. In this scenario, from micro to large interprises could benefit by developing e-commerce strategies; in the mexican context, micro, small and médium enterprises represent more tan 90% of business units but show low preference for adopting e-commerce strategies. Based on the above, this study aims to detect which elements appart small enterprises from e-commerce. After applying a survey among 100 small enterprises, it was observed that the most important barriers were the high cost of implementation, lack of qualified personnel and lack of information.

scholarly journals Effect of Income Heterogeneity on Valuation of Mortality Risk in Taiwan: An Application of Unconditional Quantile Regression Method

2019 ◽  
Vol 16 (9) ◽  
pp. 1620 ◽  
Author(s):  
Je-Liang Liou
Keyword(s):  
Quantile Regression ◽  
Personal Characteristics ◽  
The Public ◽  
Empirical Results ◽  
Statistical Life ◽  
Unconditional Quantile Regression ◽  
Quantile Regression Analysis ◽  
The Difference ◽  
Hedonic Wage ◽  
Quantile Regression Method

According to theory and existing empirical results, heterogeneity in personal characteristics, with income variation being one of them, affects the marginal willingness to pay (WTP) for reducing fatal risk. In this study, the effect of income heterogeneity on the value of statistical life (VSL) in Taiwan through unconditional quantile regression analysis using the data collected by the “Manpower Utilization Survey” is investigated. The results of this empirical study show that the hedonic wage function that was constructed using empirical data from Taiwan was in line with the general form of non-linear function rather than the semi-log function that has been often used in previous studies, which should have great impact on the estimation of the VSL. The empirical results also show that the estimated VSL of Taiwanese labor varied with the difference in wages, which needs to be taken into account when discussing the public policies using VSL.

scholarly journals Determinants of Accounting Practice in Micro and Small Enterprises: Evidence from Ethiopia

2020 ◽  
Vol 23 (2) ◽  
Author(s):  
Enyew Mulu Zelie ◽  
Tamiru Aniley Alebachew ◽  
Kenubish Asrat Alem
Keyword(s):  
Small Businesses ◽  
Education Level ◽  
Primary Data ◽  
Small Enterprises ◽  
Cross Sectional ◽  
Accounting Practice ◽  
Ordered Logistic Regression ◽  
Study Results ◽  
Micro And Small Enterprises ◽  
Positive Effect

This study assesses the factors determining accounting recordkeeping practices among micro and small enterprises in Ethiopia's South Western Wollo region. It has been noted that, despite the enormous importance of accounting recordkeeping, the practice is still inadequate in micro and small businesses. This study used cross-sectional primary data collected from 343 micro and small enterprises. An ordered logistic regression analysis method was employed to analyze the explanatory variable's effect (education level, number of employees, frequency of transactions, size of the firm, and age of the firm) on micro and small enterprises' accounting practice. The study results show that the education level, the number of employees, the frequency of transactions, and the firm's size have a statistically significant and positive effect on the accounting practice of micro and small enterprises. On the other hand, the firm's age is found to have no statistically significant effect on micro and small enterprises' accounting practice. This study helps micro and small enterprises by showing the significant factors that affect their accounting practice and working towards better reporting and decision-making habits.

scholarly journals Simulation Study The Implementation of Quantile Bootstrap Method on Autocorrelated Error

CAUCHY ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 95
Author(s):  
Ovi Delviyanti Saputri ◽  
Ferra Yanuar ◽  
Dodi Devianto
Keyword(s):  
Parameter Estimation ◽  
Quantile Regression ◽  
Bootstrap Method ◽  
Estimation Method ◽  
Regression Method ◽  
Estimation Methods ◽  
Model Parameters ◽  
The Difference ◽  
Quantile Regression Method ◽  
The Bootstrap Method

<span lang="DE">Quantile regression is a regression method with the approach of separating or dividing data into certain quantiles by minimizing the number of absolute values from asymmetrical errors to overcome unfulfilled assumptions, including the presence of autocorrelation. The resulting model parameters are tested for accuracy using the bootstrap method. The bootstrap method is a parameter estimation method by re-sampling from the original sample as much as R replication. The bootstrap trust interval was then used as a test consistency test algorithm constructed on the estimator by the quantile regression method. And test the uncommon quantile regression method with bootstrap method. The data obtained in this test is data replication 10 times. The biasness is calculated from the difference between the quantile estimate and bootstrap estimation. Quantile estimation methods are said to be unbiased if the standard deviation bias is less than the standard bootstrap deviation. This study proves that the estimated value with quantile regression is within the bootstrap percentile confidence interval and proves that 10 times replication produces a better estimation value compared to other replication measures. Quantile regression method in this study is also able to produce unbiased parameter estimation values.</span>

Calibration of direct normal irradiance (DNI) forecasts with quantile regression

2020 ◽  
Author(s):  
Jose L. Casado-Rubio ◽  
Isabel Martínez-Marco ◽  
Carlos Yagüe
Keyword(s):  
Quantile Regression ◽  
Input Parameter ◽  
Training Sample ◽  
Lead Times ◽  
Limited Area ◽  
Continuous Ranked Probability Score ◽  
Direct Normal Irradiance ◽  
High Predictability ◽  
Quantile Regression Method ◽  
Positive Effect

&lt;p&gt;Direct normal irradiance (DNI) forecasts from two ensemble models, the global ECMWF-ENS and the limited area multimodel gSREPS, have been calibrated using the quantile regression method, taking DNI as the only input parameter to better understand the inner workings of the method. Forecasts for the southern part of Spain, with lead times up to 72 hours for ECMWF-ENS and 24 hours for gSREPS over a two-year period (from June 2017 to May 2019), have been used.&lt;/p&gt;&lt;p&gt;This study has focused on two particular aspects of the postprocess:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;The effect of quantile regression on the spread of the models. The results show that the spread of ECMWF-ENS greatly increases after the postprocess, which has a positive effect on the accuracy of the model, with an improvement of 20% in the continuous ranked probability score (CRPS) after the calibration. However, this increase is uniform over the whole period, affecting equally to situations with low or high spread, hence the postprocessed forecasts are not able to detect changes in predictability. On the other hand raw gSREPS forecasts behave better during episodes of both low or high predictability. The postprocess does not significantly change the spread and accuracy of gSREPS.&lt;/li&gt; &lt;li&gt;The influence of the training sample. It has been found that DNI is a variable which can experience periods of low variability, particularly in regions like southern Spain, where long spells of sunny days are common. This has a sizeable impact on the performance of the quantile regression on certain days. Two study cases will be shown to illustrate this problem. Two possible solutions are proposed: use longer training periods (not always possible) or place restrictions on the value of the regression coefficients.&lt;/li&gt; &lt;/ul&gt;

Sign in / Sign up

Export Citation Format

Share Document