Is Insider Control Good for Environmental Performance? Evidence From Dual-Class Firms

2018 ◽  
Vol 59 (4) ◽  
pp. 716-748
Author(s):  
Paul Seaborn ◽  
Tricia D. Olsen ◽  
Jason Howell

Corporate environmental performance has become a key focus of business leaders, policy makers, and scholars alike. Today, scholarship on environmental practice increasingly highlights how various aspects of corporate governance can influence environmental performance. However, the prior literature is inconclusive as to whether ownership by insiders (officers and directors) will have positive or negative environmental effects and whether insider voting control or equity control is more salient to environmental outcomes. This article leverages a unique empirical data set of dual-class firms, where insiders have voting rights disproportionate to their equity rights, to shed light on this question. We find that, on average, dual-class firms underperform their single-class peers on environmental measures and that the discrepancy comes from dual-class firms where insiders have more voting control, relative to their equity stake. While small increases in voting control are associated with improved environmental performance, too much (relative to insiders’ equity stake) worsens firms’ environmental performance. Insider equity control alone has no impact on environmental outcomes. Our findings have important implications for agency theory and environmental scholarship by identifying contingencies on the impact of voting and equity-based incentives. This research casts doubt on the idea that providing insiders with significant voting control will aid environmental performance.

2021 ◽  
Author(s):  
Suresh Muthulingam ◽  
Suvrat Dhanorkar ◽  
Charles J. Corbett

It is well known that manufacturing operations can affect the environment, but hardly any research explores whether the natural environment shapes manufacturing operations. Specifically, we investigate whether water scarcity, which results from environmental conditions, influences manufacturing firms to lower their toxic releases to the environment. We created a data set that spans 2000–2016 and includes details on the toxic emissions of 3,092 manufacturing facilities in Texas. Additionally, our data set includes measures of the water scarcity experienced by these facilities. Our econometric analysis shows that manufacturing facilities reduce their toxic releases into the environment when they have experienced drought conditions in the previous year. We examine facilities that release toxics to water as well as facilities with no toxic releases to water. We find that the reduction in total releases (to all media) is driven mainly by those facilities that release toxic chemicals to water. Further investigation at a more granular level indicates that water scarcity compels manufacturing facilities to lower their toxic releases into media other than water (i.e., land or air). The impact of water scarcity on toxic releases to water is more nuanced. A full-sample analysis fails to link water scarcity to lower toxic releases to water, but a further breakdown shows that manufacturing facilities in counties with a higher incidence of drought do lower their toxic releases to water. We also find that facilities that release toxics to water undertake more technical and input modifications to their manufacturing processes when they face water scarcity. This paper was accepted by David Simchi-Levi, operations management.


2019 ◽  
Vol 21 (1) ◽  
pp. 42-56
Author(s):  
Hoa Thi Nguyen ◽  
Dung Thi Nguyet Nguyen

Purpose The purpose of this paper is to examine the determinants of mutual funds’ performance at both a country level and a fund level in Vietnam. Design/methodology/approach The different types of funds with more than three-year operation are selected to remove outliers of the stock market boom from 2015 to 2018. The data set includes 54 mutual funds operating during the period from 2008 until November 2018. Findings The research finds that there is a positive relationship between macroeconomics and mutual funds’ performance. Furthermore, country-level governance such as regulation effectiveness, political stability, economic growth and financial development has a positive correlation with mutual funds’ performance. However, the impact of fund-level factors is diverse with the no significant impact of board size on mutual fund’s performance, while passive funds perform better than active funds in Vietnam. Practical implications The research results suggest that investors should pay attention to the types of funds and operating expense when making an investment decision in mutual funds. There are some recommendations for both government policy-makers and the mutual fund industry that are likely to facilitate the development of this field in Vietnam. Originality/value The research contributes to the understanding of what are the factors that should be considered when investing in mutual funds.


2008 ◽  
Vol 19 (4) ◽  
pp. 269 ◽  
Author(s):  
H. HANSSON ◽  
R. FERGUSON ◽  
C. OLOFSSON

This paper addresses the development of farm businesses in Sweden, 2000–2007, with regard to their specialization in single farm enterprises, diversified agricultural production and diversification with new income-generating ventures. Furthermore, regression analysis is used to study the impact of farm characteristics on the observed specialization and diversification. The study is based a panel data set of about 900 farms participating in the Swedish Agricultural Economics Survey. Results show that farms are increasingly engaging in diversified activities, though in most firms these activities make only minor contributions to total revenue. Results also show that the degrees of specialization and diversification are influenced by characteristics of firms’ business structure, financial and demographic conditions. These results contribute to the understanding of farm business development, as well as show the need for policy makers and farm advisors to consider the differences between farms pursuing different development strategies in their efforts to influence behavior.;


2018 ◽  
Vol 48 (2) ◽  
pp. 417-439 ◽  
Author(s):  
Una O. Osili ◽  
Jacqueline Ackerman ◽  
Yannan Li

This study investigates the impact of economic conditions on the number of charitable gifts of 1 million dollars or more within the United States using the Million Dollar List (MDL) data set. We investigate key donor types—individuals, corporations, and foundations—using quarterly data. Results indicate that individual donors are significantly responsive to underlying economic conditions, foundation giving tends to be countercyclical, and corporate giving is less closely linked with aggregate macroeconomic conditions. We also find that economic conditions vary in their influence on million dollar giving to subsectors, and gifts to public benefit and human services organizations increase significantly during periods of recession, holding other factors constant. In contrast, million dollar giving to arts and education organizations is significantly associated with favorable economic conditions, holding other factors constant. Findings have direct implications for philanthropists, fundraisers, and policy makers as they seek to understand how economic conditions affect large gifts.


Author(s):  
Gary W. Anderson ◽  
Anthony Breitzman

The National Institute of Standards and Technology’s (NIST’s) mission is to “promote U.S. innovation and industrial competitiveness.” To meet this mission, NIST scientists produce a great variety of scientific and technical outputs. This paper presents results from a novel effort to measure usage and impact of a more complete set of outputs, including patents, publications, research data, software, reference materials, and a variety of additional formal and informal scientific outputs. This effort captures a significantly broader set of scientific outputs than traditional citation analysis which typically examines patent-to-patent citations or more recently patent-to-(peer-reviewed) paper citations. This may be of significant importance to NIST as NIST scientists produce a wide variety of scientific and technical outputs beyond patents and papers. Our results indicate that metrics that solely rely on patents issued to NIST inventors understate NIST’s true impact on invention and do not capture usage of much of NIST’s scientific output by other inventors. Thus, identifying the magnitude and varied usage of different types of NIST outputs represents a significant improvement in NIST impact metrics. The results clearly indicate that different companies, industries and technologies rely on different types of NIST outputs. Therefore, reliance on a limited set of technology transfer tools by either researchers or policy makers creates a risk that NIST knowledge and capabilities will not be transferred to and adopted by businesses and other organizations. Finally, the data developed here suggest a number of new technology transfer metrics that promote shared technology transfer responsibilities and may focus attention on activities that increase the impact of current research without fundamentally altering the infrastructural character of this research.


2019 ◽  
Vol 8 (2) ◽  
pp. 56
Author(s):  
Maoguo Wu ◽  
Daimin Lu

In China, the agriculture, forestry, livestock farming, fishery (AFLF) industry is the basis of all industries. However, the overall development and performance level of listed companies in the AFLF industry is lower than the overall market level. According to previous literature, there is generally a positive impact of operational capabilities on the corporate performance of listed companies, but the impact on listed companies in the AFLF industry has not been investigated. This study attempts to fill in the gap by empirically analyzing the impact of operational capabilities on the corporate performance of listed companies in the AFLF industry in China. Based on a panel data set of 43 listed companies, this study performs regressions using a fixed effect model and a threshold panel model. The results show that there is a positive correlation between the operational capabilities and the corporate performance of listed companies in the AFLF industry, but different indicators that represent operational capabilities have different impacts on corporate performance. Based on the empirical results, this study puts forward corresponding suggestions for listed companies in the AFLF industry and policy makers.


2018 ◽  
Vol 45 (2) ◽  
pp. 296-306
Author(s):  
David Butler ◽  
Robert Butler ◽  
Justin Doran ◽  
Sean O’Connor

Purpose Growing evidence suggests regional economic factors impact on individual outcomes, such as life expectancy and well-being. The purpose of this paper is to investigate the impact that player-specific and regional differences have on the number of senior international appearances football players accumulate over the course of their careers, for six UEFA member countries, from 1993 to 2014. Design/methodology/approach The research employs a Poisson regression model to analyse the impact of individual and regional factors on the number of senior international caps a footballer receives over the course of their career. Findings The results indicate that both individual and regional variables can explain the number of caps a player receives over the course of their career. The authors find that an individual’s career length positively influences the number of international caps accrued. Players born in wealthier and more populous regions accumulate a greater number of international appearances. Distance from the capital has no effect, however, the number of youth academies in the player’s region of birth has a significant positive effect. Research limitations/implications The analysis is limited to regional variations within economically developed states. It would be interesting to test whether the correlation between relative regional development and international success exists in less developed countries. The authors only address mens international football in this study and cannot comment on the generality of the findings across genders or sports. Practical implications The results can provide insights for local football authorities and policy makers concerned with regional characteristics and those interested in the development of elite talent. Originality/value This is the first study to analyse a pan-European data set, using an increasingly adopted econometric method to understanding regional economic development – Poisson modelling.


2021 ◽  
Vol 13 (2) ◽  
pp. 559
Author(s):  
Hyun-Do Kim ◽  
Kwangwoo Park

Using a unique United States box office data set, we investigate the impact of environmental sentiment on corporate environmental and financial performance of the United States listed firms. The influence of mass media on public and investor sentiments is well documented in the existing literature. However, little is known about the effect of movies, although they may influence the public more than other mass media because people, regardless of age and gender, enjoy watching movies. Using the event study methodology and multivariable regression analysis, we show that the release of anthropogenic environmental disaster movie(s) creates environmental sentiment and influences corporate behaviors. Specifically, firms significantly increase their environmental performance in the subsequent year of strong environmental sentiment after the release of environmental movies. More importantly, the positive effect of corporate environmental performance on financial performance is stronger when the environmental sentiment is stronger.


2012 ◽  
Vol 49 (3) ◽  
Author(s):  
James Nolan ◽  
Pamela Richie ◽  
John Rowcraft

Many policy makers today take for granted that economic deregulation yields net benefits to industry, particularly with respect to helping improve productivity and efficiency. Certain structural issues about industrial deregulation are not well understood, including the impact of technical change or innovation. In this paper, we measure the extent to which innovation affected productivity within the Canadian for-hire trucking industry during deregulation. Using a unique data set spanning the trucking deregulation era in Canada, non-parametric Malmquist productivity indices are computed and de-composed. Results of the analysis indicate that the industry was affected by deregulation in a manner consistent with public policy goals.


PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241951 ◽  
Author(s):  
Silvio Romano ◽  
Annalisa Fierro ◽  
Antonella Liccardo

Novel Covid-19 has had a huge impact on the world’s population since December 2019. The very rapid spreading of the virus worldwide, with its heavy toll of death and overload of the healthcare systems, induced the scientific community to focus on understanding, monitoring and foreseeing the epidemic evolution, weighing up the impact of different containment measures. An immense literature was produced in few months. Many papers were focused on predicting the peak features through a variety of different models. In the present paper, combining the surveillance data-set with data on mobility and testing, we develop a deterministic compartment model aimed at performing a retrospective analysis to understand the main modifications occurred to the characteristic parameters that regulate the epidemic spreading. We find that, besides self-protective behaviors, a reduction of susceptibility should have occurred in order to explain the fast descent of the epidemic after the peak. A sensitivity analysis of the basic reproduction number, in response to variations of the epidemiological parameters that can be influenced by policy-makers, shows the primary importance of a rigid isolation procedure for the diagnosed cases, combined with an intensive effort in performing extended testing campaigns. Future scenarios depend on the ability to protect the population from the injection of new cases from abroad, and to pursue in applying rigid self-protective measures.


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