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1 – 10 of 31Kenneth Hsien Yung Chung and Peter Adriaens
This paper aims to quantify the impact of environmental contamination on farmland valuation. It applies data fusion and hedonic pricing approaches to quantify the contribution of…
Abstract
Purpose
This paper aims to quantify the impact of environmental contamination on farmland valuation. It applies data fusion and hedonic pricing approaches to quantify the contribution of nitrogen and phosphorus loading on farmland sales transactions. It further suggests approaches to improve internalization of environmental cost in valuation approaches using shadow pricing. The work informs the field of environmental, social and governance (ESG) investing by fusing environmental data with financial transactions.
Design/methodology/approach
This paper is an empirical study implementing hedonic pricing of farmland in the Lake Huron major drainage area. Data sources and fusion were derived from AcreValue, the United States Department of Agriculture's Gridded Soil Survey Geographic database (gSSURGO) and the United States Geological Survey's Spatially Referenced Regression on Watershed Attributes database (SPARROW).
Findings
The results suggest that environmental contamination has statistically significant positive determination power on farmland prices such that prices increase with contamination. Conventional metrics such as percentage of cultivated land in the parcel, root zone depth, whether the parcel is designated by the Natural Resource Conservation Service as prime farmland, and the size of the farmland parcel contribution to farmland value as well. The results indicate that environmental impacts are not accurately accounted for in farmland transactions.
Research limitations/implications
This paper points to inaccurate valuation of environmental contamination in farmland value. While geocoding allowed for positioning of farmland sales transactions relative to modeled areas of contaminant loading in the Lake Huron drainage area, the interpretation indicates that value is driven by cultivation. Hence, generalization to other areas needs a cautious approach. Empirical testing across locations and drainage areas with diverse farmland features will serve to verify the modeled data used in this study.
Practical implications
The lack of integration of externalities in land valuation has implications on lending and disclosure practices, as financial service providers increasingly seek to account for ESG risk on their loan books and broader investment portfolios. The impact of farmland accounting practices for contamination such as shadow pricing may impact land valuation based on future cash flows, and may serve to inform sustainability-linked lending practices to farm operations.
Originality/value
This is the first paper to fuse data from AcreValue, gSSURGO and SPARROW to discover the explanatory power of nutrient contamination in farmland value in the Lake Huron major drainage area.
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Adrien Bouchet, Xuehu Song and Li Sun
This study aims to examine the impact of a chief executive officer (CEO) social network centrality on corporate social responsibility (CSR) performance.
Abstract
Purpose
This study aims to examine the impact of a chief executive officer (CEO) social network centrality on corporate social responsibility (CSR) performance.
Design/methodology/approach
This study carries out a multivariate linear regression analysis on a panel data sample of 11,507 firm-year observations (representing 1,386 unique US firms) from 2004 to 2014.
Findings
This paper finds a significant negative relation between CEO network centrality and irresponsible CSR performance (measured as CSR concerns). The findings suggest that better-connected CEOs can better mitigate CSR concerns or weaknesses, leading to improved overall CSR performance of a firm.
Originality/value
This is the first study that directly examines the empirical link between CEO centrality and CSR performance.
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Stacey Jones Bock, Christy M. Borders, Kristi Probst and Shaqwana Freeman-Green
In 2018, the Centers for Disease Control and Prevention (CDC) released the statistic that 1 out of every 59 children had a diagnosis of autism spectrum disorder (ASD). Young…
Abstract
In 2018, the Centers for Disease Control and Prevention (CDC) released the statistic that 1 out of every 59 children had a diagnosis of autism spectrum disorder (ASD). Young children with ASD have unique needs specifically related to the characteristics that impact their communication and social emotional and behavioral development. These unique needs require early and intensive intervention to minimize their lifelong impact. It is important to identify and use evidence-based interventions to help parents support their children at home, and as a continuation of the skills they are being taught in other settings. This chapter will address the prevalence of young children with ASD, the impact and need for family involvement in intervention, and service provision and potential interventions.
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The chapter introduces the reader to select language of human sexuality and the definitions and characteristics of some key terms related to lesbian, gay, bisexual, transgender…
Abstract
The chapter introduces the reader to select language of human sexuality and the definitions and characteristics of some key terms related to lesbian, gay, bisexual, transgender, and questioning/queer (LGBTQ+), identifies different theoretical perspectives of human sexuality and sexual orientation, and discusses select LGBTQ+ theories and concepts in a historical context that library and information science (LIS) professionals should consider while performing their roles related to information creation–organization–management–dissemination–research processes. It helps better understand the scope of what is LGBTQ+ information and traces its interdisciplinary connections to reflect on its place within the LIS professions. The chapter discusses these implications with the expectation of the LIS professional to take concrete actions in changing the conditions that lack fairness, equality/equity, justice, and/or human rights for LGBTQ+ people via the use of information. Important considerations in this regard include the need for an integrative interdisciplinary LGBTQ+ information model, growth of a diversified LGBTQ+ knowledge base and experiences, holistic LGBTQ+ information representations, LGBTQ+ activism, and participatory engagement and inclusion of LGBTQ+ users.
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Mark P. Healey, Mercedes Bleda and Adrien Querbes
In this chapter we examine some possibilities of using computer simulation methods to model the interaction of affect and cognition in organizations, with a particular focus on…
Abstract
In this chapter we examine some possibilities of using computer simulation methods to model the interaction of affect and cognition in organizations, with a particular focus on agent-based modeling (ABM) techniques. Our chapter has two main aims. First, we take stock of methodological progress in this area, highlighting important developments in the modeling of affect and cognition in other fields, including psychology and economics. Second, we outline how ABM in particular can help to advance managerial and organizational cognition by building and testing theoretical models predicated on the interaction of affect and cognition. We argue that using ABM for this purpose can improve the level of specificity of cognitive and affective concepts and their interrelationships in organizational theories, yield more behaviorally plausible models of behavior in and of organizations, and deepen understanding of the generative behavioral mechanisms of multi-level organizational phenomena. We highlight possibilities for using ABM to model affect–cognition interactions in studies of mental models, collective cognition, diversity in work groups and teams, and organizational decision-making.
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Adrien Bouchet, Mike Troilo and William Spaniel
The purpose of this paper is to explore the question: how does socially responsible buying/sourcing applies to human talent? The authors examine this question in the unique…
Abstract
Purpose
The purpose of this paper is to explore the question: how does socially responsible buying/sourcing applies to human talent? The authors examine this question in the unique context of Major League Baseball’s (MLB) relationship with the “buscones” (agents) representing prospects from the Dominican Republic.
Design/methodology/approach
Using game theory, the authors model how MLB teams create rules to curb unethical behavior within the supply chain. The principal relationship the authors will model is that of the franchises and the prospects. This relationship has as its core an investment decision by the individual franchises: should they incur costs to ameliorate the context in which the prospects find themselves, or not? The costs of investment, whether it is in academies, general education, a revision of recruiting policies or something else, must be weighed against the negative externalities that are likely to result if the exploitation of the DR recruits becomes common knowledge to other stakeholders, particularly the public.
Findings
The model shows that when investments are roughly evenly distributed, the teams successfully vote to outlaw unethical behaviors and thus collectively avoid the negative externalities. However, when investments are asymmetric, the teams invested in the current system vote against a ban to maintain a competitive edge, even though the system imposes costs on all of those involved.
Originality/value
This paper serves as the initial paper that examines international sourcing, social responsibility and baseball. As international sport clubs/franchises continue to source athletic talent from around the globe, the issues discussed in the paper are both original and pertinent.
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