scholarly journals Consumer Confidence Index in Coronavirus Disease (Covid-19) Era

2021 ◽  
Vol 5 (1) ◽  
pp. 515
Author(s):  
Dunyati Ilmiah ◽  
Muhammad Galih Wonoseto

The consumer confidence index is an economic indicator designed to measure consumer confidence or doubt about the economic conditions of a country. The consumer confidence index can have an impact on the level of consumer interest in shopping so that it affects business activities, industry, and has a direct impact on the rate of econom ic growth. The condition of the consumer confidence index continues to improve, even though it is still during the Covid-19 pandemic and is still in the pessimistic zone, namely the index is below 100, the August 2020 consumer confidence index is 86.9 that is higher than in July 2020 of 86.2. This study uses trend analysis to estimate or forecast the future, and data obtained from the Bank Indonesia Consumer Survey. The results of this study show that the improvement in consumer confidence is drive by consumer perceptions of current economic conditions, namely increased income, job availability, and purchasing of goods.

2019 ◽  
pp. 107-124
Author(s):  
Ha Hoang Thi Thanh ◽  
Bich Tran Thi

A consumer confidence index (CCI) is an important economic indicator which is used to adjust the forecasting of gross domestic product (GDP) and consumer price index (CPI) in the shortterm. Although there exists standard guidelines from the United Nations Statistics Division and European Commission, international experience shows the scale that measures a CCI and the methods of calculating a CCI need to be adapted to the country specific context. Using its own data from the nationally representative survey and factor analysis methods, this paper constructs a scale to measure consumer confidence for Vietnam. The paper, then, computes a CCI and proposes the most appropriate method corresponding to the Vietnamese setting. Validation methods from the paper show that the Vietnamese CCI calculated in the paper reflects approximately the economic picture of the whole country as well as six regions of Vietnam, ensuring the validity of using this index to adjust short-term GDP and CPI forecasts.


2018 ◽  
Vol 5 (4) ◽  
pp. 39-54
Author(s):  
Seda BAĞDATLI KALKAN ◽  
Serpil KILIÇ DEPREN

Consumer confidence index is a national indicator that suggest about current and future expectations of the economic conditions. With consumer confidence index, it is aimed to determine the trends and expectations of consumers according to their general economic situation, employment opportunities, their financial situations and developments in the markets. Another parameter is also the Human Development Index (HDI). This index is an indicator that examines the development of countries both economically and socially. Countries are sorted by these two indices and are considered as basic parameters in international platforms. The purpose of this study is to group the selected countries according to the consumer confidence index and reveal the features of the groups and then determine the position of the grouped countries with the Human Development Index. According to the results of cluster analysis, it is shown that India, China, Sweden and USA have the highest total consumer confidence index, employment, expectation and investment index


2011 ◽  
Vol 403-408 ◽  
pp. 348-352 ◽  
Author(s):  
Bin Wang ◽  
Hua Li

To analyze the reasons for current inflation and minimize the adverse effects caused by inflation for people’s life, based on the study of broad measure of money supply and inflation, the effect of consumer confidence index with inflation was studied. In this paper, relevant theories and knowledge were applied such as regression analysis method and economics to build the model on relationship among broad measure of money supply (M2), consumer confidence index (CCI) and the inflation through econometric software Eviews 6.0. The conclusion was drawn that there were relevance between the two compared factors and inflation. All these findings would be of use to analyze the reasons for inflation more perfect and be useful references to the research for the future.


2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Galih Yogi Rahajeng ◽  
Arni Arni

ABSTRACT Conservation Area for Mangrove and Proboscis in Tarakan City was built to preserve mangrove ecosystems and wildlife in its development and alternative ecotourism destinations. Based on the potential of Conservation Area for Mangrove and Proboscis in Tarakan City, therefore this study aims to predict the trend of tourist visits in Conservation Area for Mangrove and Proboscis in Tarakan City so that it can become the foundation for the development of Conservation Area for Mangrove and Proboscis inTarakan City in the future. In this study using respondents as many as 100 respondents who were Conservation Area for Mangrove and Proboscis in Tarakan City visitors. The sampling used method was accedential sampling and quota sampling. The result shown than visitors of Conservation Area for Mangrove and Proboscis inTarakan from 2018-2022 estimated to reach 164,888,5 visitors. The average decrease in visits per year is 978 people. Because of the facilities in the Conservation Area for Mangrove and Proboscis in Tarakan City are inadequate, such as wooden bridge that begin to be damaged and slippery when it rains, lack of place to sit, cleanliness that has not been maintained, unsanitary toilets, and lack of parking areas, and reduced proboscis monkey. If there is no renovation and repair of facilities, visitors tend not to choose the Conservation Area for Mangrove and Proboscis in Tarakan City as an alternative tourist attractions. Keywords: Conservation of mangrove, Ecotourism, Trend Analysis. ABSTRAK Kawasan Konservasi Mangrove dan Bekantan Kota Tarakan (KKMB) dibangun dan memiliki tujuan sebagai pengembangan satwa liar dan ekowisata alternatif. Berdasarkan potensi yang ada, oleh karena itu maka penelitian ini bertujuan untuk meramalkan trend kunjungan wisatawan di KKMB agar dapat menjadi landasan dalam pengembangan KKMB di masa depan. Dalam penelitian ini menggunakan 100 responden yang merupakan pengunjung KKMB. Metode pengambilan sampel yang digunakan adalah pengambilan sampel akedensial dan kuota. Hasil Penelitian memperlihatkan pengunjung KKMB di Kota Tarakan dari 2018-2022 diperkirakan mencapai 164.888,5 orang. Penurunan rata-rata kunjungan per tahun adalah 978 orang. Karena fasilitas di Kawasan Konservasi Mangrove dan Bekantan Kota Tarakan  tidak memadai, seperti jembatan kayu yang mulai rusak dan licin saat hujan, kurangnya tempat duduk, kebersihan yang belum dijaga, toilet yang tidak bersih, dan kurangnya area parkir, dan  berkurangnya populasi bekantan. Jika tidak ada renovasi dan perbaikan fasilitas, pengunjung cenderung tidak memilih Kawasan Konservasi Mangrove Bekantan di Kota Tarakan sebagai tempat wisata alternatif. Kata kunci: Konservasi mangrove, Ekowisata, Analisis Trend.


2019 ◽  
Vol 8 (4) ◽  
pp. 2289-2298

The purpose in this paper is to identify the cost components which are vital in consideration towards manufacturing especially in pharmaceutical companies. The manufacturing costs are significant in total expenses in pharmaceutical industry. In this study, a thorough investigation on the cost components and the trend in expenses and operating profit of pharma companies are studied, giving due regard to cost components to have understanding and to find out how they may differ among various types of pharma companies. The data published in the annual reports from 2009 to 2018 of top five pharmaceutical companies based on their annual revenues has been selected for further diagnosis. The analysis reveals that manufacturing costs are different for all the five companies. The study also reveals that there is a considerable indication that the companies are conscious on the much-needed health benefits to the society in the future at an affordable cost


This article forecasts the future values using stochastic forecasting models for specified fitted values by using downscaling data, which are collected from Sathanoor Dam gauging site. Due to the demand of the water in this current scenario, this study analyzed the perdays Discharge level data collected from Sathanoor Dam where the outcome is predicted in a downscaling data sets in hydrology, extended Thomas –Fiering, ARIMA, MLE models, is used to estimate perdays discharge level data of each month. The error estimates RMSE, MAE of forecasts from above models is compared to identify the most suitable approaches for forecasting trend analysis.


2021 ◽  
Vol 336 ◽  
pp. 06013
Author(s):  
Jizhaxi Dao ◽  
Zhijie Cai ◽  
Rangzhuoma Cai ◽  
Maocuo San ◽  
Mabao Ban

Corpus serves as an indispensable ingredient for statistical NLP research and real-world applications, therefore corpus construction method has a direct impact on various downstream tasks. This paper proposes a method to construct Tibetan text classification corpus based on a syllable-level processing technique which we refer as TC_TCCNL. Empirical evidence indicates that the algorithm is able to produce a promising performance, which may lay a starting point for research on Tibetan text classification in the future.


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