scholarly journals The effect of production costs on the provisioning management of materials: Evidence from paper industry in Peru

2021 ◽  
pp. 99-106 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Yuri Sanchez-Solis ◽  
Wagner Vicente-Ramos

This paper presents an empirical investigation to evaluate the impact of purchase, storage and inventory management on the production costs of materials supply management in the Peruvian paper industry. A linear regression model was used under the ordinary least squares method to determine the causal relationship between the provisioning of materials and production costs. It was concluded that the evaluation of the effect between the study variables was inversely proportional, that is, as the management of purchase, storage, and inventory in companies improve, the production costs may also be reduced.

2021 ◽  
Vol 3 (1) ◽  
pp. 10-16
Author(s):  
Arin Jannah Dinonasih ◽  

This study aims to investigate the impact of money demand motive on a money supply based on keyness theory. The method used in this study is the ordinary least squares method with an annual period from 2011 to 2020. We find that In Indonesia, the money demand motive has a significant effect on money supply where the transaction motive has a significant negative relationship with the money supply. A precautionary motive has a significant positive correlation with the money supply. The motive of speculation has a significant positive relationship with the money supply.


2004 ◽  
Vol 50 (11) ◽  
pp. 81-88 ◽  
Author(s):  
J.-L. Bertrand-Krajewski

In order to replace traditional sampling and analysis techniques, turbidimeters can be used to estimate TSS concentration in sewers, by means of sensor and site specific empirical equations established by linear regression of on-site turbidity T values with TSS concentrations C measured in corresponding samples. As the ordinary least-squares method is not able to account for measurement uncertainties in both T and C variables, an appropriate regression method is used to solve this difficulty and to evaluate correctly the uncertainty in TSS concentrations estimated from measured turbidity. The regression method is described, including detailed calculations of variances and covariance in the regression parameters. An example of application is given for a calibrated turbidimeter used in a combined sewer system, with data collected during three dry weather days. In order to show how the established regression could be used, an independent 24 hours long dry weather turbidity data series recorded at 2 min time interval is used, transformed into estimated TSS concentrations, and compared to TSS concentrations measured in samples. The comparison appears as satisfactory and suggests that turbidity measurements could replace traditional samples. Further developments, including wet weather periods and other types of sensors, are suggested.


2018 ◽  
pp. 1-26
Author(s):  
HONGJUN TAO ◽  
LIANG ZHAO ◽  
JEFF LUCKSTEAD ◽  
CHAOPING XIE

This paper estimates the impact of population aging on bilateral pork trade between 32 Asian countries (regions) by using a gravity model that incorporates old-age dependency ratio variables. The Poisson pseudo-maximum-likelihood regression performs better than the ordinary least-squares method in the estimations. An aging labor force stimulates pork exports because it reduces pork production costs by supplying the pork industry with low-wage older laborers. An aging consumer-based economy increases pork imports because older consumers usually have higher incomes. Population aging has both a time characteristic and a country characteristic on pork trade in Asia. Increasing birth rates and reforming the pork industry from the supply side are two feasible policy recommendations for aging Asian countries (regions).


2020 ◽  
Vol 11 (1) ◽  
pp. 106
Author(s):  
Khaled Abdalla Moh'd AL-Tamimi

This study investigates the impact of development of tourism sector on GDP growth rate in Jordan by depending on annual statistics for the period (2010 – 2017); as receipts of tourism sector percentage to exports, arrivals of tourists and expenditures of tourism sector percentage to imports are independent variables, while growth rate of GDP (an indicator of economic growth), is a dependent variable. This paper begins with theoretical studies that analyze the impact of development of tourism sector on GDP growth rate, and empirical studies to analyze this impact. After that, it analyzes the impact of development of tourism sector on GDP growth rate in Jordan by depending on annual statistics for the period (2010 – 2017) by depending on ordinary least squares method by SPSS version. The study finds insignificant impacts of receipts of tourism sector percentage to exports and arrivals of tourists on GDP growth rate in Jordan by depending on annual statistics for the period 2010 to 2017, but there is a negative and significant impact of expenditures of tourism sector percentage to imports on GDP growth rate in Jordan by depending on annual statistics for the period 2010 to 2017. The study recommends decreasing expenditures of tourism sector due to their negative impacts on GDP growth rate.


2020 ◽  
Vol 11 (3) ◽  
pp. 36
Author(s):  
Juanjuan Huang ◽  
Jinhong Jiang ◽  
Qishui Chi

Based on the data from the National Health Commission of China, this paper analyzes the impact of the new rural cooperative medical insurance on the household consumption of migrant workers by using the ordinary least squares method and the propensity score matching method. The study found that the average annual per capita consumption of participating migrant workers decreased by 3.5%, and the influence of NCMS on the consumption of different groups of migrant workers was significantly different, among which, the negative impact of consumption of low-income group, young group and group with high degree of urban integration is significant. Based on the analysis of the consumption mechanism of NCMS and the heterogeneity of migrant workers, this paper puts forward some differentiated insurance policy suggestions.


Author(s):  
Anna Pajor ◽  
Barbara Kawa

In Popławski and Kaczmarczyk (2013) a method referred to as UEK was presented and used as a tool in the analysis of sustainable rural development. The purpose of this paper is to demonstrate the methodological inappropriateness of that method. In the linear regression model, the matrix of explanatory variables can have either less than full or full column rank. While all regression parameters are non-estimable in the first case, the well-known and widely used ordinary least squares method can be applied in the second one.


2019 ◽  
Vol 4 (2) ◽  
pp. 50-63
Author(s):  
Achraf Haddad ◽  
Anis El Ammari ◽  
Abdelfattah Bouri

According to the literature of corporate governance, ownership structure is advanced as a non-dissociable mechanism of control intended to follow the stakeholders and especially used by shareholders to monitor the conflicts of interest and the opportunistic behavior of managers. Several previous studies have focused on the impact of ownership structure on financial performance separately in conventional or in Islamic banks. However, the comparative studies between these two impacts are non-existent. In this research, we compared the impacts of this governance mechanism on the financial performance in the two types of banks by using the Ordinary Least Squares method. Data relating to financial performance and ownership structure of banks come from 16 countries. Two samples were collected: the first one included 63 conventional banks, whereas the second one integrated 63 Islamic banks whose data are available over the period (2010-2018). Panel results showed that partial effect of each determinant of ownership structure on each measure of financial performance varied from one banks’ type to another and from one performance measure to another. Besides, the reconciliation of similar models revealed many differences between the same impacts’ signs. Therefore, we concluded that in both banks’ types the ownership structure has a positive impact on the financial performance. While, the negative part of the same impact is less significant in Islamic banks. JEL Classification:  F33, G20, G21, G24, G30.


2018 ◽  
Vol 17 (1) ◽  
pp. 29-54
Author(s):  
Taíse Fatima Mattei ◽  
Fernanda Mendes Bezerra ◽  
Gilmar Ribeiro de Mello

Resumo: Uma das formas de um governo atuar na economia é na alocação dos gastos públicos. Os gastos públicos têm o objetivo de contribuir para o fornecimento de serviços públicos para a população, e também para a geração de investimentos na economia. Muitas vezes, questiona-se se esses gastos podem, de fato, contribuir para a melhoraria da vida das pessoas. Dessa forma, entender se as despesas públicas têm relação com o nível de desenvolvimento humano é importante para a tomada de decisão dos governantes e para melhorar a gestão dos gastos públicos, principalmente para direcionar em quais áreas devem ser gastos os recursos. Diante disso, o objetivo com este artigo foi verificar qual a contribuição das despesas públicas per capita por funções para o nível de desenvolvimento humano dos estados brasileiros. O método adotado é a regressão múltipla estimada pelo método de mínimos quadrados ordinários utilizando dados em painel. Os dados são provenientes do IBGE, PNUD e IPEA DATA. Os resultados sugerem que algumas despesas possuem contribuição positiva para o desenvolvimento dos estados. Analisando o modelo com todas as despesas na mesma regressão, saúde e educação apresentaram relação positiva para aumentar o IDHM. Analisando os modelos em regressões isoladas, as despesas com assistência e previdência, educação, saúde e segurança e transporte confirmaram impacto positivo sobre o nível de desenvolvimento dos estados. Destaca-se a importância das despesas com saúde e educação, as quais se apresentaram influenciáveis no desenvolvimento nas duas abordagens realizadas.Palavras-chave: Despesas Públicas. Índice de Desenvolvimento Humano. Estados brasileiros. Public expenditure and human development level of Brazilian states: an analysis of IDHM 2000 and 2010 Abstract: One of the ways for a government to act in the economy is in the allocation of public expenditures. Public expenditures aim to contribute to the provision of public services to the population, as well as to the generation of investments in the economy. It is often questioned whether such expenditures can actually contribute to the improvement of people's lives. Thus, understanding whether public expenditures arerelated to the level of human development is important for government decision-making, and to improve the management of public expenditures, mainly to target the areas in which resources should be spent. Therefore, the objective of this article is to verify the contribution of public expenditure per capita by functions to the level of human development of the Brazilian states. The method adopted is the multiple regression estimated by the ordinary least squares method using panel data. The data comes from IBGE, UNDP and IPEA DATA. The results suggest that some expenses have a positive contribution to the development of the states. Analyzing the model with all expenses in the same regression, health and education presented positive relation to increase the HDI. Analyzing the models in isolated regressions, assistance and pension, education, health, safety and transportation expenses confirmed a positive impact on the level of development of the states. It is important to highlight the importance of health and education expenditures, which were influential in the development of the two approaches.Keywords: Public Expenditure. Human Development Index. Brazilian states.


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