Do Corporate Global Environmental Standards in Emerging Markets Create Or Destroy Market Value

Arguments can be made on both sides of the question of whether a stringent, global corporate environmental standard represents a competitive asset or liability for multinational enterprises (MNEs) investing in emerging and developing markets. This paper seeks to answer this question by analyzing the global environmental standards of a large sample of US-based MNEs in relation to their market performance. We find that firms adopting a single, stringent global environmental standard have higher market values, as measured by Tobin's q, than firms defaulting to less stringent, or poorly enforced host country standards. Thus, developing countries that use lax environmental regulations to attract foreign direct investment end up attracting poorer quality, and perhaps, less competitive firms. Our results also suggest that externalities are incorporated to a significant extent in firm valuation. We discuss plausible reasons for this observation.http://deepblue.lib.umich.edu/bitstream/2027.42/39644/3/wp259.pd

Do Corporate Global Environmental Standards in Emerging Markets Create Or Destroy Market Value

Arguments can be made on both sides of the question of whether a stringent, global corporate environmental standard represents a competitive asset or liability for multinational enterprises (MNEs) investing in emerging and developing markets. This paper seeks to answer this question by analyzing the global environmental standards of a large sample of US-based MNEs in relation to their market performance. We find that firms adopting a single, stringent global environmental standard have higher market values, as measured by Tobin's q, than firms defaulting to less stringent, or poorly enforced host country standards. Thus, developing countries that use lax environmental regulations to attract foreign direct investment end up attracting poorer quality, and perhaps, less competitive firms. Our results also suggest that externalities are incorporated to a significant extent in firm valuation. We discuss plausible reasons for this observation.corporate environmental policy, corporate performance, race to the bottom in foreign direct investment

Debeaking Poultry to Control Cannibalism and Featherpicking

Debeaking is the practice of taking off part of the upper beak of a bird. This removes the part they pinch and tear flesh with, making it extremely difficult for them to be cannibalistic. The process can be accomplished with an electric debeaker, using a hot blade that cauterizes the wound as it cuts, preventing excessive bleeding

A natural-resource-based view of the firm: Fifteen years after

The authors revisit Hart\u27s natural-resource-based view (NRBV) of the firm and summarize progress that has been made in testing elements of that theory and reevaluate the NRBV in light of a number of important developments that have emerged in recent years in both the resource-based view literature and in research on sustainable enterprise. First, the authors consider how the NRBV can both benefit from recent work in dynamic capabilities and can itself inform such work. Second, they review recent research in the areas of clean technology and business at the base of the pyramid and suggest how the NRBV can help inform research on the resources and capabilities needed to enter and succeed in these domains. © The Author(s) 2011

Feeding Poultry for Profit

Feeding poultry for profit involves essentially the use of top quality stock, proper management and care, proper facilities, and last, but certainly not least important, a good feed. The feed accounts for well over 50 per cent of the cost of poultry, meat and egg production, hence its importance cannot be considered lightly. A good feed supplies all of the essential nutrients in the required amounts for each type of production

A New Low-Cost Microfluidics Device & Microscope

https://openworks.mdanderson.org/sumexp21/1191/thumbnail.jp

A method for matching crowd-sourced and authoritative geospatial data

A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location information and lexical information, such as names and types, and verifies consistency of matches using reasoning in qualitative spatial logic and description logic. We test the method by matching geospatial data from OpenStreetMap and the national mapping agencies of Great Britain and France. We also analyze how the level of tolerance affects the precision and recall of matching results for the same geographic area using 12 different levels of tolerance within a range of 1 to 80 meters. The generated matches show potential in helping enrich and update geospatial data

A method for matching crowd-sourced and authoritative geospatial data

A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location information and lexical information, such as names and types, and verifies consistency of matches using reasoning in qualitative spatial logic and description logic. We test the method by matching geospatial data from OpenStreetMap and the national mapping agencies of Great Britain and France. We also analyze how the level of tolerance affects the precision and recall of matching results for the same geographic area using 12 different levels of tolerance within a range of 1 to 80 meters. The generated matches show potential in helping enrich and update geospatial data

Salinity Management in the Murray-Darling Basin, Australia

The southern Murray–Darling Basin (MDB) is particularly vulnerable to salinity problems. Much of the Basin’s landscape and underlying groundwater is naturally saline with groundwater not being suitable for human or irrigation use. Since European settlement in the early 1800s, two actions—the clearance of deep-rooted native vegetation for dryland agriculture and the development of irrigation systems on the Riverine Plains and Mallee region—have resulted in more water now entering the groundwater systems, resulting in mobilization of the salt to the land surface and to rivers. While salinity has been a known issue since the 1960s, it was only in the mid-1980s that was recognized as one of the most significant environmental and economic challenges facing the MDB. Concerted and cooperative action since 1988 by the Commonwealth and Basin state governments under a salinity management approach implemented over the past 30 years has resulted in salinity now being largely under control, but still requiring on-going active management into the future. The approach has involved the development of three consecutive salinity strategies governing actions from 1988 to 2000, from 2001 to 2015, and the most recent from 2016 to 2030. The basis of the approach and all three strategies is an innovative, world-leading salinity management framework consisting of: An agreed salinity target; joint works and measures to reduce salt entering the rivers; and an agreed accountability and governance system consisting of a system of salinity credits to offset debits, a robust and agreed method to quantify the credits and debits, and a salinity register to keep track of credits and debits. This paper first provides background to the salinity issue in the MDB, then reviews the three salinity management strategies, the various actions that have been implemented through these strategies to control salinity, and the role of the recent Basin Plan in salinity management. We then discuss the future of salinity in the MDB given that climate change is forecast to lead to a hotter, drier and more variable climate (particularly more frequent droughts), and that increased salt loads to the River Murray are predicted to come from the lower reaches of the Mallee region. Finally, we identify the key success factors of the program

Collaboration on an Ontology for Generalisation

workshopInternational audienceTo move beyond the current plateau in automated cartography we need greater sophistication in the process of selecting generalisation algorithms. This is particularly so in the context of machine comprehension. We also need to build on existing algorithm development instead of duplication. More broadly we need to model the geographical context that drives the selection, sequencing and degree of application of generalisation algorithms. We argue that a collaborative effort is required to create and share an ontology for cartographic generalisation focused on supporting the algorithm selection process. The benefits of developing a collective ontology will be the increased sharing of algorithms and support for on-demand mapping and generalisation web services