scholarly journals Disasters and Domestic Tourist Arrivals in Indonesia in 2013-2017

2021 ◽  
Vol 8 (10) ◽  
pp. 465-477
Author(s):  
Alla Asmara ◽  
Annisa Hafizhah Uzdah
Keyword(s):  
Panel Data ◽  
Descriptive Analysis ◽  
Fixed Effect Model ◽  
Jel Classification ◽  
Population Number ◽  
Classification Code ◽  
Tourism Sector ◽  
Increasing Trend ◽  
The Impact ◽  
Domestic Tourist

The tourism sector is the leading sector in Indonesia's economic development in the future. One of the potential demand for Indonesia tourism sector comes from domestic tourist arrivals who show an increasing trend each year. On the other hand, the number of disasters in Indonesia in the last 10 years also showed an increasing trend. Starting from this phenomenon, the purpose of this study is to analyze the impact of disasters on domestic tourist arrivals in Indonesia. The analytical method used is descriptive analysis and panel data with Fixed Effect Model (FEM) approach. In this study, natural disasters were proxied through frequency of disasters and the number of fatalities. The results of the analysis indicate that frequency of disasters and the number of fatalities have a negative effect on the domestic tourist arrivals. However, only the number of fatalities has a statistically significant effect. Economic variables which also have a significant effect on domestic tourist arrivals are GRDP/capita, CPI, population, number of hotel rooms and accessibility. All of these variables have a positive effect on domestic tourist arrivals. Keywords: Disasters, panel data, tourism, domestic tourist JEL Classification code: Z38; O20; R58.

scholarly journals Quality Higher Education and Students’ Perception: A Study on Private Universities of Bangladesh

2013 ◽  
Vol 2 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Md. Mizanur Rahman
Keyword(s):  
Higher Education ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Descriptive Analysis ◽  
Private Universities ◽  
Jel Classification ◽  
Dynamic Factor ◽  
Classification Code ◽  
The Relationship ◽  
Structured Questionnaire

This is a pragmatic study conducted to explore the quality higher education and students’ perception towards the private universities in Bangladesh. This study examines the relationship between the quality higher education and students’ perception using a structured questionnaire. A total number of 500 senior undergraduate and graduate level students from ten selected private universities in Bangladesh were taken as sample for conducting the study. The finding of this study discloses that the quality higher education is a dynamic factor that ensures the students’ perception. It also shows that quality higher education can create positive students’ perception towards the private universities in Bangladesh. Reliability, Responsiveness, Competence, Tangibility, Courtesy, Goodwill & Image, Empathy, Security and Costs are the dimensions of quality higher education. To quantify the variables a five point “Likert- type” scale has been used in this paper. The researcher conducted various analyses such as Multiple Regression Analysis, Descriptive Analysis, and ANOVA and identified a numerous key findings as to the students’ perception towards the quality higher education. JEL Classification Code: I20; I23

scholarly journals The Impact of Dividend Policy on Stock Price Volatility in Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 506-515
Author(s):  
Ziaullah Shah ◽  
Shehzad Khan ◽  
Muhammad Faizan Malik
Keyword(s):  
Panel Data ◽  
Stock Price ◽  
Dividend Policy ◽  
Price Volatility ◽  
Fixed Effect Model ◽  
Share Prices ◽  
Dividend Payments ◽  
Effect Model ◽  
Dividend Irrelevance ◽  
The Impact

The objective of this study is to inspect dividend policy influence on volatility of share prices. For investigation seven Non-financial segment/sectors have been selected. A sample of 137 firms who paid four dividend payments listed at PSX is analysed for the period of 2007-2017.Proxy for policy of dividend are earning per share, Payout ratio, dividend yield, while assets growth and firm size are taken as control variables. OLS regression model has been initially applied on panel data. The outcomes of fixed effect model are focused. Overall outcomes of the study confirmed that prices of stock is significantly influenced by policy of dividend and reject dividend irrelevance theory.

scholarly journals GLOBAL CRUDE OIL PRICE AND DOMESTIC FOOD COMMODITY PRICES: EVIDENCE FROM INDONESIA

2020 ◽  
Vol 14 (1) ◽  
pp. 95-120
Author(s):  
Tiara Kencana Ayu
Keyword(s):  
Panel Data ◽  
Crude Oil ◽  
Local Food ◽  
Price Change ◽  
Commodity Prices ◽  
Oil Prices ◽  
Jel Classification ◽  
Crude Oil Prices ◽  
The Impact ◽  
Food Commodity

Abstrak Penelitian untuk menganalisis hubungan antara harga minyak dunia dan harga komoditi pangan di pasar domestik masih jarang ditemukan. Dengan membuat Model Panel Data dari 34 provinsi di Indonesia pada tahun 2010-2017, penelitian ini bertujuan untuk menginvestigasi pengaruh perubahan harga minyak dunia terhadap beberapa harga komoditi pangan lokal (kedelai,import, kedelai lokal, beras lokal, dan jagung lokal). Hasil penelitian ini mengindikasikan bahwa harga minyak dunia dapat memengaruhi harga pangan lokal di Indonesia melalui tingginya biaya pengiriman pada aktivitas impor. Selain itu, harga komoditi pangan dunia juga terbukti dapat memengaruhi harga seluruh komoditi pangan lokal yang diteliti, yang mengimplikasikan bahwa harga komoditi pangan di Indonesia dipengaruhi oleh kondisi pasar internasional. Hasil penelitian ini memberikan masukan bagi pembuat kebijakan di Indonesia untuk mempertimbangkan perubahan harga minyak dunia dan harga komoditi global dalam menstabilkan harga komoditi lokal di Indonesia, terutama komoditi yang diimpor.   Abstract Globally, studies examining the nexus between global crude oil prices and food commodity prices in domestic markets are scant. Employing a panel data model of 34 provinces in Indonesia from 2010 - 2017, this study investigates the impact of global crude oil’s price change on some local food commodity prices (imported soybean, local soybean, local rice, and local maize). Previous studies found that local food commodity prices in some countries were not affected by global crude oil prices; however, this study, by controlling other factors which could affect local commodity prices, finds different results. This study’s findings indicate that global crude oil prices could affect Indonesia’s local commodity prices due to higher shipping costs in import activity. In addition, global commodity prices are also proved to affect all commodities examined in this study, which implies that local food commodity prices in Indonesia are influenced by the international market. This study provides input to policymakers in Indonesia to consider the movement of global crude oil prices and global commodity prices in stabilizing local food commodity prices in Indonesia, especially the imported commodities. JEL Classification: F15, O13, Q11

scholarly journals Research on the Impact of Environmental Regulation and Technology Innovation on the Quality of Economic Growth

2021 ◽  
Author(s):  
Qingyang Wu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Fixed Effect Model ◽  
Paper Test ◽  
The Impact

Abstract：This paper uses the balanced panel data from 29 provinces (autonomous regions and municipalities) in China for a total of 17 years from 2000 to 2016 as a research sample, and establishes an empirical model to examine the impact of environmental regulations and technological innovation on the quality of economic growth. Then this paper test technological innovation as a threshold variable, in which play a regulatory role. Taking the provincial balanced panel data as a research sample, a fixed effect model, a system GMM model, and a panel threshold model were established for empirical testing and the robustness test. Based on the empirical results, this article draws the following conclusions: from a national perspective, environmental regulations and technological innovation can significantly promote the quality of economic growth; from a regional perspective, there are regional differences in impact effects. Under the constraints of environmental regulations, the promotion effect of technological innovation on the quality of economic growth will be reduced; the impact of environmental regulation on the quality of economic growth will have a "threshold effect", and environmental regulation can significantly promote the quality of economic growth only after crossing the threshold and the threshold of technological innovation.

scholarly journals Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Lagrangian Multiplier ◽  
Effect Model ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  

scholarly journals Impact of Medical Professionals on Carbapenem-Resistant Pseudomonas Aeruginosa: Moderation Effect of Workload Based on the Panel Data in China

2020 ◽  
Author(s):  
Meng Han ◽  
Xinping Zhang
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Panel Data ◽  
Registered Nurses ◽  
Fixed Effect Model ◽  
Hierarchical Regression ◽  
Medical Professionals ◽  
Moderation Effect ◽  
Carbapenem Resistant ◽  
The Impact ◽  
The Relationship

Abstract Background: Antimicrobial resistance (AMR) causes serious increase in morbidity, mortality and costs, especially carbapenem-resistant Pseudomonas aeruginosa (CRPA). Medical professionals play an important role in tackling AMR. Available studies overlooked the impact of workload on medical professionals in the relationship between medical professionals and AMR. This study explored the relationship between medical professionals and CRPA rate and the moderation effect of medical professionals’ workload in this relationship. Methods: Based on provincial-level panel data in China, hierarchical regression analysis was used to explore moderation effect of workload on medical professionals and CRPA rate. Fixed-effect model was applied to estimate the moderation effect models. Medical professionals were measured by the numbers of physicians, registered nurses, pharmacists, clinical microbiologists per 1000 populations. Workload was measured by the number of daily visits of physicians. Results: The numbers of physicians, registered nurses, pharmacists and clinical technicians were significant negative with CRPA rate (Coef. = -0.889, -0.775,-1.176, -0.822; P= 0.003, 0.003, 0.011, 0.007, respectively). Workload had significant positive moderation effect between physicians, registered nurses, pharmacists, clinical technicians and CRPA rate (Coef.= 1.270, 1.400, 2.210, 1.634; P=0.004, 0.001, 0.035, 0.003, respectively). Conclusions: Increasing medical professionals may help curb CRPA. Measures to reduce medical professionals’ workload should be implemented to improve CRPA performance further.

Consumers’ Perception and Performance Appraisal of Mobile Phone Companies in Bangladesh

2013 ◽  
Vol 2 (2) ◽  
pp. 168-182
Author(s):  
Tajul Islam ◽  
Rajidul Hoque ◽  
Md.Ashraful Alam
Keyword(s):  
Mobile Phone ◽  
Performance Appraisal ◽  
Descriptive Analysis ◽  
Value Added ◽  
Jel Classification ◽  
Radio Link ◽  
Chi Square ◽  
Internet Service ◽  
Classification Code ◽  
The World

In recent times telecommunication industry like mobile phone, radio link device have made revolution in the world. For the last few years mobile phone has become part and parcel of our daily life. It has become an essential part of business, commerce and society. Mobile phone provide great assistance to users by giving the opportunity to access to the anywhere of the world. Moreover, with the continuous diversification, the use of mobile is not only limited to talking but its use ranges from using internet, sending messages, listening to music, to organizing various works are comfortably completed in time. The use of mobile phone was introduced in Bangladesh at the middle of 1989 by the CityCell Company. Now with the change of time another five operators have introduced in the market. The function of mobile in Bangladesh with its communicative use also spread with value added service like mobile banking, railway ticket purchasing, health services, news update, and examination results and so on. But there are a lot of complain about these operators services. Descriptive analysis, Z-test, Chi-square test and Multiple Regression Analysis were used to test the collected data and hypotheses of the research study. Through this research we have tried to find out consumers perception which impact may be very bad in near future on those operators. Most of the respondents think that mobile operators are charging higher terrify in which customers are deprived from pulse system. Slow internet service, and lack of coverage hamper to the access of information. By conducting this research we have found that except those complain, the overall services of mobile phone are moderately well. JEL Classification Code: D18; D91

Determinants of tourism in Indian states: an empirical analysis

2017 ◽  
Vol 72 (3) ◽  
pp. 330-343 ◽  
Author(s):  
Yashobanta Parida ◽  
Parul Bhardwaj ◽  
Joyita Roy Chowdhury
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
State Level ◽  
Tobit Model ◽  
Indian States ◽  
Content Type ◽  
Prone Area ◽  
Flood Prone Area ◽  
The Impact ◽  
Domestic Tourist

Purpose The purpose of this study is to empirically examine the determinants of foreign and domestic tourist arrivals and revenue receipts from tourism using state-level panel data in 25 Indian states for the period 1995 to 2011. Design/methodology/approach The study uses IV-2SLS method to examine the determinants of foreign and domestic tourist arrivals in Indian states. Economic development (proxied by per capita income, PCI) is an endogenous variable. We have used the state-wise “liable to flood prone area” as an instrument for PCI to control for endogeneity. An inverse relationship exists between state-wise “liable to flood prone area” and real PCI, in a sense that states with greater proportion of area marked as liable to flood experience lower economic development. For robust analysis, the study has also used IV-Tobit model to examine the effects of economic development and crime on revenue receipts from tourism. Findings The empirical results based on IV-2SLS method suggest that, in addition to economic development, other factors such as the presence of world-class monuments, natural landscapes and cultural heritage also encourage both international and domestic visitors in Indian states. While crime activities adversely affect the inflow of foreign and domestic tourist arrivals, terror activities do not significantly impact tourist arrivals and tourism receipts. Finally, the estimates of IV-Tobit model show that economic development and government expenditure on tourism sector leads to a significant increase in tourism receipts. Originality/value To the best of our knowledge, this is the first study done in Indian context in which state-level panel data have been used to examine the impact of economic, social and cultural factors on tourist arrivals and revenue earnings from tourism. Hence, the present study not only contributes to existing tourism literature, but also makes an important contribution to structuring suitable tourism management policies for the Indian states.

scholarly journals Impact of Medical Professionals on Carbapenem-Resistant Pseudomonas Aeruginosa: Moderation Effect of Workload Based on the Panel Data in China

2019 ◽  
Author(s):  
Meng Han ◽  
Xinping Zhang
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Panel Data ◽  
Registered Nurses ◽  
Fixed Effect Model ◽  
Hierarchical Regression ◽  
Medical Professionals ◽  
Moderation Effect ◽  
Carbapenem Resistant ◽  
The Impact ◽  
The Relationship

Abstract Background: Antimicrobial resistance (AMR) causes serious increase in morbidity, mortality and costs, especially carbapenem-resistant Pseudomonas aeruginosa (CRPA). Medical professionals play an important role in tackling AMR. Available studies overlooked the impact of workload on medical professionals in the relationship between medical professionals and AMR. This study explored the relationship between medical professionals and CRPA rate and the moderation effect of medical professionals’ workload in this relationship from a macro perspective. Methods: Based on panel data in China, hierarchical regression analysis was used to explore moderation effect of workload on medical professionals and CRPA rate. Fixed-effect model was applied to estimate the moderation effect models. Medical professionals were measured by the numbers of physicians, registered nurses, pharmacists, clinical microbiologists per 1000 populations. Workload was measured by the number of daily visits of physicians. Results: The numbers of physicians, registered nurses, pharmacists and clinical technicians were significant negative with CRPA rate (Coef. = -0.889, -0.775,-1.176, -0.822; P= 0.003, 0.003, 0.011, 0.007, respectively). Workload had significant positive moderation effect between physicians, registered nurses, pharmacists, clinical technicians and CRPA rate (Coef.= 1.270, 1.400, 2.210, 1.634; P=0.004, 0.001, 0.035, 0.003, respectively). Conclusions: Increasing medical professionals may help curb CRPA. Measures to reduce medical professionals’ workload should be implemented to improve CRPA performance further.

scholarly journals LEGAL AUDIT QUALITY AND FRAUD RISK: THE CASE OF TUNISIAN LISTED COMPANIES

2021 ◽  
Vol 6 (2) ◽  
pp. 1-15
Author(s):  
Azhaar Lajmi ◽  
Wided Khiari ◽  
Oumaima Ouertani
Keyword(s):  
Panel Data ◽  
Audit Quality ◽  
Jel Classification ◽  
Panel Regression ◽  
Accounting Fraud ◽  
External Auditors ◽  
Fraud Risk ◽  
Valuable Method ◽  
The Impact

The aim of this study is to examine the impact of legal audit quality on the likelihood of accounting fraud, for a sample of 48 companies listed on the Tunisian stock market over the period between 2014 and 2018. Based on the logit panel regression, we have shown that the audit firm's membership in one of the Big networks and the rotation of external auditors are two major determinants in the reduction of cases of fraud in Tunisian companies. In addition, the results showed that joint audit deteriorates the quality of auditing and thus increases the risk of fraud. This study provides new insights in terms of legal audit and fraud risk in the Tunisian context based on the econometrics of panel data, which is a valuable method to measure the impact of several actions alone or simultaneously. It has allowed us to analyze the behaviors of companies by considering the effect of many proxies of legal audit quality. JEL Classification Codes: G32, M42, C23.

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