Climate Change Accounting and Value Growth of Financial Institutions in West Africa

2021 ◽  
pp. 431-445
Author(s):  
Haruna Maama ◽  
Ferina Marimuthu
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
West Africa ◽  
Financial Institutions ◽  
Annual Reports ◽  
Impact Of Climate Change ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
Value Growth

The study investigated the impact of climate change accounting on the value growth of financial institutions in West Africa. The study used 10 years of annual reports of 47 financial institutions in Ghana and Nigeria. The climate change disclosure scores were determined based on the task force's recommended components on climate-related financial disclosure. A panel data regression technique was used for the analysis. The study found a positive and significant relationship between climate change accounting and the value of financial institutions in West Africa. This result implies that the firms' value would improve should they concentrate and enhance their climate change disclosure activities. The findings also revealed that the impact of climate change accounting on the value of financial institutions is positively and significantly higher in countries with stronger investor protection. These findings enable us to expand our understanding of the process of generating value for investors in financial institutions and society, generally.

scholarly journals CEO duality and firm performance: An empirical study on listed companies from an emerging market

2021 ◽  
Vol 5 (2, special issue) ◽  
pp. 194-202
Author(s):  
Pranesh Debnath ◽  
Promila Das ◽  
Najul Laskar ◽  
Shahbaz Babar Khan ◽  
Shweta Dhand ◽  
...  
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Emerging Market ◽  
Secondary Data ◽  
Annual Reports ◽  
Return On Assets ◽  
Ceo Duality ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

The primary purpose of the study is to investigate the impact of CEO duality on firm performance. The study is based on secondary data collected from the published annual reports of respective companies and the Capitaline corporate database. The sample consists of 174 listed non-financial companies for eight years from 2011–12 to 2018–19. This study uses an appropriate panel data regression analysis to examine the impact of CEO duality on firm performance. Based on the panel data regression model, the study found mixed results, i.e., the impact of CEO duality on market capitalization is negative significant; however, the impact becomes positive when the firm performance is measured by return on assets. These outcomes of the present study are consistent with previous studies

The impact of climate change on cocoa production in West Africa

2014 ◽  
Vol 6 (3) ◽  
pp. 296-314 ◽  
Author(s):  
Kenneth Ofori-Boateng ◽  
Baba Insah
Keyword(s):  
Climate Change ◽  
West Africa ◽  
Climatic Factors ◽  
Extreme Temperature ◽  
Yield Response ◽  
Content Type ◽  
Impact Of Climate Change ◽  
Temperature And Precipitation ◽  
Cocoa Production ◽  
The Impact

Purpose – The study aimed at examining the current and future impact of climate change on cocoa production in West Africa. Design/methodology/approach – A translog production function based on crop yield response framework was used. A panel model was estimated using data drawn from cocoa-producing countries in West Africa. An in-sample simulation was used to determine the predictive power of the model. In addition, an out-sample simulation revealed the effect of future trends of temperature and precipitation on cocoa output. Findings – Temperature and precipitation play a considerable role in cocoa production in West Africa. It was established that extreme temperature adversely affected cocoa output in the sub-region. Furthermore, increasing temperature and declining precipitation trends will reduce cocoa output in the future. Practical implications – An important implication of this study is the recognition that lagging effects are the determinants of cocoa output and not coincident effects. This finds support from the agronomic point of view considering the gestation period of the cocoa crop. Originality/value – Although several studies have been carried out in this area, this study modeled and estimated the interacting effects of factors that influence cocoa production. This is closer to reality, as climatic factors and agricultural inputs combine to yield output.

scholarly journals Sensitivity of wheat yields to rise in growing season temperature: Evidences from panel data analysis

2021 ◽  
Vol 22 (2) ◽  
pp. 191-197
Author(s):  
K. PHILIP ◽  
S.S. ASHA DEVI ◽  
G.K. JHA ◽  
B.M.K. RAJU ◽  
B. SEN ◽  
...  
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
Growing Season ◽  
Maximum Temperature ◽  
Data Set ◽  
Impact Of Climate Change ◽  
Average Maximum ◽  
Wide Range ◽  
Potential Impact ◽  
The Impact

The impact of climate change on agriculture is well studied yet there is scope for improvement as crop specific and location specific impacts need to be assessed realistically to frame adaptation and mitigation strategies to lessen the adverse effects of climate change. Many researchers have tried to estimate potential impact of climate change on wheat yields using indirect crop simulation modeling techniques. Here, this study estimated the potential impact of climate change on wheat yields using a crop specific panel data set from 1981 to 2010,for six major wheat producing states. The study revealed that 1°C increase in average maximum temperature during the growing season reduces wheat yield by 3 percent. Major share of wheat growth and yield (79%) is attributed to increase in usage of physical inputs specifically fertilizers, machine labour and human labour. The estimated impact was lesser than previously reported studies due to the inclusion of wide range of short-term adaptation strategies to climate change. The results reiterate the necessity of including confluent factors like physical inputs while investigating the impact of climate factors on crop yields.

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

scholarly journals The Impact of Multi-Disciplinary Input on Glycaemic Control Over Time in Children on Intensive Insulin Therapy Using Real World Prospectively Collected Data

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A454-A455
Author(s):  
Jason Foran ◽  
Susan M O’Connell ◽  
Declan Cody ◽  
Eric Somers
Keyword(s):  
Panel Data ◽  
Glycaemic Control ◽  
Panel Data Analysis ◽  
Daily Injection ◽  
Matched Pairs ◽  
Panel Data Regression ◽  
Data Regression ◽  
Treatment Type ◽  
The Impact ◽  
Over Time

Abstract Aims: To investigate the factors impacting on glycaemic control over time including treatment type, educational input and patient demographics within an Irish tertiary paediatric diabetes centre. Methods: Using a prospectively maintained database of clinical encounters, data was analysed in age matched pairs from 2007 to 2019. Pairs were matched by insulin treatment type (pump v multiple daily injection (MDI)). Matching was performed on the basis of gender, current age, age at diagnosis and HbA1c at pump commencement. Panel data regression was performed on the entire sample and analysed for the impact of differing insulin regimens by gender, age and duration of diagnosis. This model was then used to assess the impact of intensive re-education sessions on HbA1c. Results: From 999 patients there were 104 matched pairs. Compared to MDI, matched pump patients had a lower HbA1c 6 months after commencement [Difference in HbA1c = 0.60% p <0.01], this effect persisted to 8 years [0.57% p=0.01]. Panel data analysis showed CSII therapy reduces HbA1c by 0.57% relative to MDI therapy (p<0.001). Patients who required intensive re-education showed a HbA1c 0.91% greater than otherwise identical patients prior to re-education, after these sessions HbA1c drops by a statistically significant 0.79% (p<0.001). Conclusions: Compared to matched peers on MDI treatment regimens, patients on pump therapy showed significant improvements in HbA1c which was an effect sustained up to 8 years. Panel data regression confirms these findings and in addition shows that intensive re-education is associated with a significant drop in previously elevated HbA1c levels.

Impact of Competition on Social Performance of MFIs: Comparative Analysis of India and Bangladesh

2019 ◽  
Vol 24 (2) ◽  
pp. 160-170
Author(s):  
Joyeeta Deb
Keyword(s):  
Panel Data ◽  
Social Performance ◽  
Microfinance Institutions ◽  
Loan Repayment ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Social ◽  
Determining Factors ◽  
Loan Quality ◽  
The Impact

Although studies encompassing the different aspect of microfinance like sustainability of microfinance institutions (MFIs), role of microfinance in poverty alleviation, etc., have enriched the literature from time to time, studies on competition and its impact on social performance of MFIs are scarce. There also exists lacking consensus as to how can competition influence MFIs’ social performance. The empirical evidence reveals duality of opinion. With information asymmetry, competition enhances borrowers’ indebtedness and lowers expected loan repayment and impeding loan quality. Furthermore, in order to overcome these problems, MFIs would engage in more screening that raises their operational costs. This encumbers the sustainability of MFIs. Thus, the socially oriented MFIs, in order to remain sustainable, start targeting the less poor borrowers. But the other view holds that as competition intensifies, it provokes the MFIs to remain committed with the social objective and to strive to retain the clients. The theory on impact of competition on the social performance of MFIs may be either positive or negative, which calls for further investigation. Against this backdrop, this article attempts to assess the impact of competition on social performance of MFIs in India and Bangladesh. The study is conducted over 53 MFIs from India and 20 MFIs from Bangladesh on which a complete set of data is available. The study period is confined to 9 years from 2009 to 2017. In order to establish the association between competition and MFIs’ social performance, panel data regression is used. The study takes into account the depth and breadth of outreach as the dependent variable. The study uses panel data regression to establish the association between competition and social performance of MFIs. The empirical analysis reveals that competition has no significant association with any of the measures of social performance. This implies that social performance in the sector is explained by other factors. Amongst the country-specific variables, it is clear from analyses that gross domestic product (GDP) and inflation are important determining factors of MFIs’ social performance. Country of origin (COO) of the MFIs is one of the determining factors for social performance as it is found to be significant for three out of the four models. It is also evident from the analyses that Bangladeshi MFIs have a greater impact on MFIs’ social performance in terms of outreach in comparison to Indian MFIs. While for percentage of female borrowers (PFB), Indian MFIs account for greater depth of outreach in comparison to Bangladesh.

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