The Impact of the European Grapevine Moth on Grape Production: Implications for Eradication Programs

2020 ◽  
Vol 15 (4) ◽  
pp. 394-402
Author(s):  
German Puga ◽  
Wendy Umberger ◽  
Alejandro Gennari
Keyword(s):  
Regression Model ◽  
Fixed Effects ◽  
New World ◽  
European Grapevine Moth ◽  
Grapevine Moth ◽  
Fixed Effects Regression ◽  
The Impact ◽  
Jel Classifications

AbstractThe European grapevine moth is one of the most pertinent viticulture pests. In recent years, the moth extended to New World countries, some of which started eradication programs. We used a dataset for Mendoza and a county-fixed effects regression model to estimate the impact of the moth on grape production across the province's counties. Our results suggest that the moth led to a decrease of up to 8% of Mendoza's grape production; however, this may have been worse without strong eradication efforts. We conclude that moth eradication programs may be economically justified in Argentina, and perhaps in other countries. (JEL Classifications: Q10, Q18, C23)

scholarly journals Bank-specific, Industry-specific and Macroeconomic Determinants of Banks Profitability: Empirical Evidence from Tanzania

2016 ◽  
Vol 3 (2) ◽  
pp. 100 ◽  
Author(s):  
Saganga Mussa Kapaya ◽  
Gwahula Raphael
Keyword(s):  
Regression Model ◽  
Fixed Effects ◽  
Capital Adequacy ◽  
Market Development ◽  
Return On Equity ◽  
Net Interest Margin ◽  
Financial Market Development ◽  
Fixed Effects Regression ◽  
Macroeconomic Determinants ◽  
Loan Losses

The study analyzed effects of bank-specific, industry-specific and macroeconomic determinants on banks profitability. It used a maximum of 350 firm-years, from 52 banks from 1998 to 2010 in Tanzania. It did proxy profitability using return on asset (ROA), return on equity (ROE) and net interest margin (NIM). The static fixed effects regression model indicated that; credit facilities (CFA), capital adequacy (TEA), credit risk (CFR), diversification ratio (DIV), bank risk (BAR) and financial market development (MCAd) were significantly influencing ROA. The dynamic fixed effects regression model indicated that lagged ROA, TEA, loan losses provisions (PLT) and BAR, were significantly influencing ROA.

Impact of Financial Risks on the Profitability of Systematically Important Banks in Nigeria

Paradigm ◽  
2019 ◽  
Vol 23 (2) ◽  
pp. 117-129
Author(s):  
Olufemi Adewale Aluko ◽  
Funso Tajudeen Kolapo ◽  
Patrick Olufemi Adeyeye ◽  
Patrick Olajide Oladele
Keyword(s):  
Interest Rate ◽  
Fixed Effects ◽  
Positive Impact ◽  
Financial Risks ◽  
Cross Sectional ◽  
Bank Profitability ◽  
Alternative Measures ◽  
Cross Sectional Dependence ◽  
Fixed Effects Regression ◽  
The Impact

This study examines the impact of financial risks in form of credit, interest rate and liquidity risk on the profitability of systematically important banks in Nigeria over the period from 2010 to 2016. The fixed effects regression model is estimated with Driscoll–Kraay standard errors in order to produce results that are robust to heteroscedaticity, autocorrelation, cross-sectional dependence and temporal dependence. After controlling for some bank-specific, industry-specific, macroeconomic and institutional factors, the empirical results show that credit and liquidity risks have a positive impact on bank profitability while interest rate does not have an impact. The results are robust to alternative measures of profitability.

Compensation Consultants and the Level, Composition, and Complexity of CEO Pay

2019 ◽  
Vol 95 (1) ◽  
pp. 311-341 ◽  
Author(s):  
Kevin J. Murphy ◽  
Tatiana Sandino
Keyword(s):  
Fixed Effects ◽  
Conflicts Of Interest ◽  
Data Availability ◽  
The Public ◽  
Say On Pay ◽  
Suggestive Evidence ◽  
Ceo Pay ◽  
The Impact ◽  
Equity Incentive ◽  
Jel Classifications

ABSTRACT We provide fresh evidence regarding the relation between compensation consultants and CEO pay. First, firms that employ consultants have higher-paid CEOs—this result is robust to firm fixed effects and matching on economic and governance variables. Second, while this relation is partly due to consultant conflicts of interest, it is largely explained by the impact consultants have on the composition and complexity of CEO pay plans; notably, this impact fully mediates the consultant-CEO pay relation. Third, firms with higher-paid CEOs and more complex pay plans are more likely to hire a consultant. Last, Say-on-Pay voting patterns suggest shareholders view positively the advice consultants provide, but only when consultants provide no other services. We also find suggestive evidence of boards “layering” new equity incentive plans over existing ones, thereby increasing the impact of composition and complexity on CEO pay beyond the premium the CEO would demand for bearing additional compensation risk. JEL Classifications: J33; M12; M52; M48. Data Availability: Data are available from the public sources cited in the text.

scholarly journals Do Female Executives Make a Difference? The Impact of Female Leadership on Gender Gaps and Firm Performance

2019 ◽  
Vol 129 (622) ◽  
pp. 2390-2423 ◽  
Author(s):  
Luca Flabbi ◽  
Mario Macis ◽  
Andrea Moro ◽  
Fabiano Schivardi
Keyword(s):  
Firm Performance ◽  
Fixed Effects ◽  
Negative Impact ◽  
Positive Impact ◽  
Female Leadership ◽  
Wage Distribution ◽  
Female Executives ◽  
Female Workers ◽  
Fixed Effects Regression ◽  
The Impact

Abstract We investigate the effects of female executives on gender-specific wage distributions and firm performance. Female leadership has a positive impact at the top of the female wage distribution and a negative impact at the bottom. The impact of female leadership on firm performance increases with the share of female workers. We account for the endogeneity induced by non-random executives’ gender by including firm fixed-effects, by generating controls from a two-way fixed-effects regression and by using instruments based on regional trends. The findings are consistent with a model of statistical discrimination in which female executives are better at interpreting signals of productivity from female workers. This suggests substantial costs of women under-representation among executives.

Does R&D create additional business value through IT?

2017 ◽  
Vol 11 (2) ◽  
pp. 194-208 ◽  
Author(s):  
Yu Wang ◽  
Tie-nan Wang ◽  
Xin Li
Keyword(s):  
Firm Performance ◽  
Fixed Effects ◽  
Business Value ◽  
It Investment ◽  
Content Type ◽  
Chinese Business ◽  
Fixed Effects Regression ◽  
The Impact ◽  
D Investment ◽  
It Payoff

Purpose R&D indicates absorptive capacity, which may affect IT payoff. The purpose of this paper is to examine how R&D investment affects the relation between IT investment and firm performance and under what circumstances R&D intensity is more beneficial to IT returns. Such study has been lacking in R&D research and IT payoff literature. Design/methodology/approach A conceptual model for linking IT investment, R&D investment, environmental dynamism and firm performance was developed and tested by data collected from Chinese listed firms from 2007 to 2013, using fixed effects regression model. Findings The results show positive moderating effects of firm R&D investment and government R&D subsidies on the relation between IT investment and firm performance. Furthermore, the impact of firm R&D investment on IT payoff is stronger for firms in more dynamic environments. The findings suggest that R&D investment creates additional business value through interactions with IT, and complementarities between R&D and IT, as manifested in their interaction effect on firm performance vary across industry sectors. Research limitations/implications This paper indicates the importance of complementarities between R&D and IT, which should prove helpful to researchers and practitioners engaged in Chinese business. Originality/value This paper presents one of the first attempts at examining the moderating effect of R&D investment on the relation between IT investment and firm performance. Especially this study helps to understand under what circumstances R&D investment is more or less likely to be beneficial to IT returns.

scholarly journals Impact of federal transfers upon US infant mortality rates: a secondary analysis using a fixed effects regression approach

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e021533
Author(s):  
Michael McLaughlin ◽  
Mark R Rank
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Fixed Effects ◽  
State Level ◽  
Well Being ◽  
Mortality Rates ◽  
Postneonatal Mortality ◽  
Per Capita ◽  
Fixed Effects Regression ◽  
The Impact

ObjectivesIn order to improve health outcomes, the federal government allocates hundreds of billions of annual dollars to individual states in order to further the well-being of its citizens. This study examines the impact of such federal intergovernmental transfers on reducing state-level infant mortality rates.SettingAnnual data are collected from all 50 US states between 2004 and 2013.ParticipantsEntire US population under the age of 1 year between 2004 and 2013.Primary and secondary outcome measuresState-level infant mortality rate, neonatal mortality rate and postneonatal mortality rate.ResultsUsing a fixed effects regression model to control for unmeasurable differences between states, the impact of federal transfers on state-level infant mortality rates is estimated. After controlling for differences across states, increases in per capita federal transfers are significantly associated with lower infant, neonatal and postneonatal mortality rates. Holding all other variables constant, a $200 increase in the amount of federal transfers per capita would save one child’s life for every 10 000 live births.ConclusionsConsiderable debate exists regarding the role of federal transfers in improving the well-being of children and families. These findings indicate that increases in federal transfers are strongly associated with reductions in infant mortality rates. Such benefits should be carefully considered when state officials are deciding whether to accept or reject federal funds.

scholarly journals The Impact of the Technological Capability of a Host Country on Inward FDI in OECD Countries: The Moderating Roles of Institutional Quality

2020 ◽  
Vol 12 (22) ◽  
pp. 9711
Author(s):  
Seunghyun Kim ◽  
Byungchul Choi
Keyword(s):  
Host Country ◽  
Fixed Effects ◽  
Institutional Quality ◽  
Oecd Countries ◽  
Technological Capability ◽  
Government Size ◽  
Fixed Effects Regression ◽  
The Impact ◽  
Dynamic Links

This empirical study explores the impacts of technological capability on inward foreign direct investment (FDI) with the moderations of institutional quality. We extend the existing literature by contributing the dynamic links between technology trade and institutional quality by using the panel data of 35 Organization for Economic Cooperation and Development (OECD) countries between 2000 and 2015. Based on fixed-effects regression, our results show that there is a U-shape relationship between the net technological capability of a host country and inward FDI. In addition, the institutional quality of a host country, government size and regulation have positive moderations, whereas sound money accessibility and legal system and property protection have negative moderations on the main U-shape relationship. Our study contributes to the literature on the determinants of inward FDI in the context of technological capabilities and institutional quality.

scholarly journals The Impact of Leverage on Firm Growth. Empirical Evidence from Romanian Listed Firms

2016 ◽  
Vol 9 (2) ◽  
pp. 147-158 ◽  
Author(s):  
Sorin Gabriel Anton
Keyword(s):  
Fixed Effects ◽  
Firm Growth ◽  
Employment Growth ◽  
Sales Growth ◽  
Economic Uncertainty ◽  
Listed Firms ◽  
Alternative Measures ◽  
Fixed Effects Regression ◽  
The Impact ◽  
Positive Effect

AbstractThe aim of the paper is to assess the impact of leverage on firm growth in periods of economic growth and economic uncertainty. We employ a sample of Romanian listed firms over the period 2001-2011 and several alternative measures for firm growth (i.e. sales growth, assets growth, and employment growth). The results of fixed effects regression model show that the leverage has a positive effect on firm growth. Furthermore, profitability was found to positively influence the firm growth, while older firms saw a faster increase in assets and sales. Within this particular sample, firm size appears to constrain growth.

Unsystematic Risk Factors and Mortgage Non- Performing Loans in Kenya: Evidence from Commercial Banks

2020 ◽  
pp. 22-31
Author(s):  
Loice Koskei
Keyword(s):  
Risk Factors ◽  
Regression Model ◽  
Commercial Banks ◽  
Fixed Effects ◽  
Secondary Data ◽  
National Bureau ◽  
Mortgage Loans ◽  
Fixed Effects Panel Regression ◽  
Fixed Effects Regression ◽  
Mortgage Defaults

Commercial banks face severe challenges relating to their processes due to variations in the financial system. Identifying methods for reducing mortgage defaults and reducing the level of nonperforming loans is very important. Mortgage defaults occur because of complex factors. The amounts of mortgage non-performing loans depend on unsystematic risk factors which have an effect on mortgage loans of commercial banks. The stronger the effect of such factors, the less useful is diversification across a large number of borrowers and the stronger are the fluctuations in portfolio losses over time. The study looked at unsystematic factors and mortgage non-performing loans in Kenya’s commercial banks. Annual panel secondary data spanning from 2014 to 2019 was obtained from the Central bank of Kenya, Banking Supervision report and Kenya National Bureau of Statistics. The six year period was chosen because of availability of Mortgage secondary data. A panel fixed effects regression model was employed to address the objective of this study. The fixed effects panel regression model results indicated that capital asset ratio and lending rate had negative and statistically insignificant effect on Mortgage non-performing. Loans to deposit ratio and bank size results indicated a positive and statistically significant effect on mortgage non-performing loans implying that loans to deposit ratio and bank size affects mortgage non-performing loans in Kenya’s commercial banks. ROA results indicated a negative but statistically significant effect on mortgage non-performing loans. The study recommended enactment of internal policies by banks in regard to unsystematic factors in order to minimize the surge in mortgage non-performing loans especially in Kenya.

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