scholarly journals Impact of rainfall on the coconut productivity in Kozhikode and Malappuram Districts of Kerala

2018 ◽  
Vol 6 (2) ◽  
pp. 183-187
Author(s):  
M. C. Abhinav ◽  
T. Paul Lazarus ◽  
V. Priyanga ◽  
A.V. Kshama
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Growth Trend ◽  
Time Period ◽  
Weather And Climate ◽  
Increasing Trend ◽  
Significant Negative Impact

Rainfall has enormous impact on weather and climate. An investigation on impact of rainfall on coconut productivity was taken place in Kozhikode and Malappuram districts of Kerala, to identify the variation in coconut production on an account of secondary data based on rainfall collected for a time period from 1991 to 2015 (25 years). Panel data analysis revealed that rainfall during 3rd (July-September) and 4th (October-December) quarters was found to have significant negative impact on coconut production. Amount of rainfall observed during 1st (Januvary-March) and 2nd(April-June) quarters has positive non-significant impact on coconut production. The growth trend of rainfall showed an increasing trend in Kozhikode district whereas Malappuram district had a decreasing trend over the years.

scholarly journals Impact of Digitalization on the Farmers in India: Evidence using Panel Data Analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 5-12
Author(s):  
Rahul Singh Gautam ◽  
◽  
Venkata Mrudula Bhimavarapu ◽  
Dr. Shailesh Rastogi ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Development Model ◽  
Agriculture Sector ◽  
Economic Progress ◽  
New Development ◽  
The Impact ◽  
Financial Technology

The composition of digitalization and financial technology has brought about a new development model for the agriculture sector. What is the impact of digitization on India’s farmers? To answer this issue, this article examines the effects of digitalization on farmers in India using secondary data from 2018 to 2020, based on the idea of digitalization. It analyses the transmission of digitalization among Indian farmers using panel data analysis. The conclusions are as follows: Farmers' income can be significantly increased by digitalization, and farmers' digitization has resulted in agriculture sector development and contributed to economic progress.

scholarly journals The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries

2020 ◽  
pp. 097215092095727
Author(s):  
Bhanwar Singh ◽  
Rosy Dhall ◽  
Sahil Narang ◽  
Savita Rawat
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Event Study ◽  
Stock Markets ◽  
Stock Price ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Abnormal Returns ◽  
Developed Countries ◽  
The Impact

This study examines the impact of the COVID-19 outbreak on the stock markets of G-20 countries. We use an event study methodology to measure abnormal returns (ARs) and panel data regression to explain the causes of ARs. Our sample consists of indices in G-20 countries. The observed window comprises 58 days post the COVID-19 outbreak news release in the international media, and the estimation window consists of 150 days before the event date. We find statistically significant negative ARs in the four sub-event windows during the 58 days. Negative ARs are significant for developing as well as developed countries. The findings of this study reveal that cumulative average abnormal return (CAAR) from day 0 to day 43, ranging from –0.70 per cent to –42.69 per cent, is a consequence of increased panic in the stock markets resulting from an increased number of COVID-19 positive cases in the G-20 countries. From day 43 to day 57, CAAR ranging from –42.69 per cent to –29.77 per cent indicates the recovery of stock markets after a major stock price correction due to COVID-19. Additionally, the results of panel data analysis confirm the recovery of stock markets from the negative impact of COVID-19.

scholarly journals Pengaruh Dimensi Kualitas Pelayanan Terhadap Loyalitas Penumpang Trans Padang

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 562
Author(s):  
Aris Agung Wicaksono ◽  
Okki Trinanda
Keyword(s):  
Data Analysis ◽  
Sample Size ◽  
Negative Impact ◽  
Positive Impact ◽  
Secondary Data ◽  
Total Sample ◽  
Analysis Method ◽  
Significant Negative Impact ◽  
In Trans ◽  
The Impact

The aim of this study was to determine the impact of service quality in passenger retention in Trans Padang. These researchs were descriptive and quantitative. The study consist of residents in Padang, who frequently use the Trans Padang Pasar Raya – Lubuk Buaya route. The data used were primary and secondary data. We used questionnaires and documents. The sample of this technique was a targeted sample with a total sample size of 100 respondents. This analysis method had been use repeatedly with SPSS version 23 regrression analysis. The hypothesis study uses in this data analysis such as validation, reliability, normality, multicollinearity, heterogeneity, F-test, and T-statistic test at a = 0.05. the result of this study show that 1)Reliability had a significant negative impact on passenger loyality in Trans Padang. 2)Responsibility had a significant positive impact on the loyality of Trans Padang. 3)assurance had a significant positive impact on the loyality of Trans Padang. 4) Empathy had a significant positive impact on the loyality of Trans Padang. 5)Tangible had a significant negative impact on the loyality of Trans Padang passengers.Keywords : reliability, responsiveness, assurance, empathy, tangible and loyalty 

scholarly journals DETERMINAN KINERJA KEUANGAN ASURANSI SYARIAH DI INDONESIA PERIODE 2014-2016

2019 ◽  
Vol 5 (11) ◽  
pp. 892
Author(s):  
Audina Ayu Hidayati ◽  
Atina Shofawati
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Financial Statements ◽  
Insurance Companies ◽  
Regression Result ◽  
Company Size ◽  
Exogenous Variables ◽  
Negative Effect

This study aims to determine the effect of exogenous variables Leverage, liquidity, Company Size, and Company Age on profitability with proxy ROA. This research uses quantitative approach by using secondary data in the form of financial statements of sharia insurance companies which listed on Otoritas Jasa Keuangan (OJK) in year 2014-2016. Regression result by using technique of panel data analysis with eviews 6. In this reasearch shows that the variables of Leverage, Liquidity, Company SizeandCompany Agesignificant effect on the profitability of sharia insurance companies simultaneously. Partially, significant Leverage and Company Age at 0,1 (10%) has significant negative effect towards on ROA but there is no effect in the variables of liquidity andCompany Sizetowards on Profitability of 93.8%. for 6,2 %, it is affected by other variables which are not included in this research.

scholarly journals Board Diversity, Ukuran Perusahaan Dan Intellectual Capital Disclosure Bank Umum Syariah

2019 ◽  
Vol 5 (2) ◽  
pp. 139-157
Author(s):  
Ilhamdi Ilhamdi ◽  
Neng Evi Silvia Arianti
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Panel Data ◽  
Firm Size ◽  
Intellectual Capital ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Islamic Banks ◽  
Women Directors ◽  
Board Diversity

This study aims to analyze the factors that affect the disclosure of intellectual capital, namely board diversity and firm size. The samples used were secondary data from Annual Report of Islamic Banks that registered in the BI during the observation period 2011-2015. Sampels were taken with a purposive sampling method, and who meet the criteria for sample selection. Content analysis was employed in this study to determine the Intelectual Capital Disclosure (ICD). The study used panel data analysis to investigate the influence of board diversity and firm size on ICD. Content analysis show that the ICD indeks of Islamic banks has increased over period of study. Panel data analysis indicate that board diversity and firm size simultaneously affect the ICD indeks. Partially, firm size has positive significant effect to ICD. Board diversity namely women directors show negative significant effect to ICD. However, board diversity namely independent directors is not influence to ICD

scholarly journals ANALYSIS OF FACTORS AFFECTING COMPANY VALUE (Emperical Study Of Mining Companies Listed On The Indonesia Stock Exchange)

2020 ◽  
Vol 8 (2) ◽  
pp. 185-196
Author(s):  
Mega Silvia Febriana ◽  
Dahlia Br Pinem ◽  
Ardhiani Fadila
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Firm Value ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Analysis Method ◽  
Significance Level ◽  
Mining Companies ◽  
Data Analysis Method

This research is a quantitative study that examines the factors that affect the value of the company in mining companies listed on the Indonesia Stock Exchange. The dependent variable in this study is firm value. While the independent variables in this study are profitability, leverage, and size. The population in this study are mining companies listed on the Indonesia Stock Exchange in th 2015-2018 period with a total of 47 companies. The sample selection in this study used purposive sampling. The type of data used is secondary data and data analysis method used is panel data analysis method using e-views program 10. The sample used in this study amounted to 18 mining companies listed on the stock exchange. The results of the evaluation panel data analysis using a significance level of 0.05 indicate profitabilits has effect on firm value, while leverage and size have no effectt on firm value.  

scholarly journals The Relationship between Renewable Energy and Human Development in OECD Countries: A Panel Data Analysis

2020 ◽  
Vol 12 (18) ◽  
pp. 7450
Author(s):  
Mahmut Unsal Sasmaz ◽  
Emre Sakar ◽  
Yunus Emre Yayla ◽  
Ulas Akkucuk
Keyword(s):  
Renewable Energy ◽  
Data Analysis ◽  
Panel Data ◽  
Human Development ◽  
Fossil Fuels ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Environmental Damage ◽  
Causality Test ◽  
The Relationship

Renewable energy has attracted researcher attention in recent years, and the number of studies conducted on the topic has increased. The importance of renewable energy has increased because certain energy resources are exhaustible and they damage the environment in various ways. Fossil fuel-based energy is the main culprit for environmental damage and lately renewable energy is the main focus as a safe alternative to fossil fuels. However, replacement of fossil fuels by renewables may have a negative impact on human development, even if it has a positive impact on the environment. With this rationale, this study investigates the relationship between renewable energy and human development in 28 OECD (Organization for Economic Cooperation and Development) countries from 1990 to 2017 by using the Westerlund and Edgerton panel cointegration test with structural breaks and the Dumitrescu and Hurlin causality test. The results of the panel data analysis revealed that renewable energy affected human development positively. In addition, the causality test determined the presence of a bidirectional causality relationship between renewable energy and human development. This study is unique in the sense that it is the only study in the literature examining the relationship between human development index and renewable energy for the countries in question. While similar analyses were conducted in the past for different regions or for just one type of renewable energy, no such study has been conducted in this scale with this method. Another differentiating feature of the study is that it demonstrates the bidirectional nature of the study not just the unidirectional causality. Policymakers are advised to invest in renewable energy projects and also create frameworks which provide incentives to the private sector for renewable energy production.

scholarly journals Analisis Penawaran Tenaga Kerja di Sumatera Barat

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 609
Author(s):  
Annisyah Putri Ardi ◽  
Yulhendri Yulhendri
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Significant Positive Effect ◽  
Demand And Supply ◽  
Data Analysis Technique ◽  
Analysis Technique ◽  
West Sumatra ◽  
Positive Effect

The purpose of this study was to analyze the demand and supply of labor in West Sumatra. This study used secondary data using a total of 19 objects by district / city in West Sumatra (2013-2017). Data analysis technique used was panel data analysis using eviews 9. The data analysis technique used is panel data analysis using eviews 9. Based on the analysis results it was found that wages do not have a significant positive effect and GRDP has a significant positive effect on labor supply. Keyword: supply of labor. wage, gdp

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