Identifying priorities for action in corporate sustainable development indicator programs

This paper presents a case study on the identification of key sustainable development issues for the transmission system of an electric utility. It provides a structured approach to identifying priorities for action within existing corporate infrastructure. The application of the process is discussed, with an emphasis on strategies for the selection of priorities for immediate action, illustrating linkages between the selected key issues and lessons learned. To demonstrate how the issues may lead to the development of indicators, example sustainable development indicators are presented for a selected key issue. The case study illustrates that key stakeholders must be involved throughout the entire process, that the process of developing the issues and indicators is just as important as the final result and that any indicator development process must build on existing corporate infrastructure wherever possible. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.     

Environmental justice and enforcement of the safe drinking water act: The Arizona arsenic experience

Environmental justice is concerned with the fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies. A wide variety of empirical studies have concluded that disparate-impact discrimination does in fact exist since minority and low-income communities are at disproportionate risk for environmental harm. In this paper we examine these issues in the context of enforcing the safe drinking water act (SDWA). Specifically, we focus on the association between race, income, and hazardous levels of arsenic concentration and analyze the broad equity implications of implementing the new arsenic regulation by examining the relationship between community-level exposure to arsenic and socioeconomic and demographic characteristics of the population in Arizona. The results provide no support for the contention that continued selective implementation and enforcement of the revised SDWA arsenic standard is likely to disadvantage minority or low-income groups disproportionately in Arizona.     

An adjustment cost model of long-term employment in Japan

A dynamic factor demand model is presented which pays special attention to the prevalence of a long-term employment relationship in Japan. The model is based on the representation of technology by a variable cost function with adjustment costs for employment and capital stock, where the variable cost consists of the sum of overtime costs and materials costs. With employment being quasi-fixed and scheduled hours institutionally regulated, short-run adjustments are mostly made by overtime hours. Application to a time-series data on the Japanese electrical machinery industry indicates quasi-fixity of capital and employment and reproduces short-run overshooting of overtime hours to compensate for the sluggish adjustment of employment.     

TECHNICAL PROGRAESS AND INVESTMENT: A VINTAGE MODEL*

The main purpose of this paper is to investigate the optimal investment decision of the firm with a vintage production function. First, the optimal conditions for the investment and replacement permitting jumps in the state variables are derived. Second the effects of exogenous parameters on investment are examined and the following new results are obtained: (1) whether a rise in the current money wage increases or decreases investment depends crucially on the time profile of the existing plants; (2) a rise in the rate of technical progress reduces investment.     

Agglomeration economies in urban manufacturing industries: A case of Japanese cities

The effects of urban agglomeration economies on productivities in two-digit manufacturing industries is estimated using the cross section data of Japanese cities in 1979. Urbanization and localization economies, which are major forms of urban agglomeration economies, are explicitly separated. The estimates of these economies vary considerably among industries. Light industries receive more productive advantages from urbanization economies than from localization economies, but heavy industries experience these economies more from localization economies than from urbanization economies.     

Introduction: New directions in Information and Screening in Real Estate Finance

Conclusion The evidence presented in this special issue supports the view that preexisting information held by mortgage lenders plays an important role in mortgage approvals. This argues for mortgage lending programs that make efficient use of lender information, and it supports the importance of local financial intermediaries for lending. It also suggests that mortgage finance is an important element in turning transitory shocks into persistent ones that shape macroeconomic and regional business cycles.This Journal has from its inception, with the publication of a seminal article on information and incentives on mortgage contract terms by Dunn and Spart (1988), pushed forward the frontier of knowledge on information issues in real estate finance. This special issue presents empirical evidence on the importance of this aspect of mortgages.     

Electricity saving behavior of households by making efforts,replacing appliances,and renovations: empirical analysis using a multivariate ordered probit model

This study empirically explores the determinants of household electricity saving behavior based on a sample of Japanese households. Our study makes four contributions. First, we examine the short‐term saving action of making efforts, the medium‐term saving action of replacing appliances, and the long‐term saving action of undertaking renovations. Second, we consider not only the physical characteristics of households but also behavioral characteristics, such as their understanding of the importance of energy saving and willingness to save energy. Third, in our analysis, we assume that appliances and housing facilities have the electricity‐saving capability and service‐providing capability. While previous studies focus on the former, consumers in reality consider both capabilities. Fourth, we consider the optimization by households and include broad types of appliances and renovations. Using a multivariate ordered probit model with data on 518 Japanese households in 2012, we obtain the following results. First, in addition to the demand response, the effort level is determined by behavioral, rather than by physical characteristics. Second, the motivation behind appliance replacement is durability, rather than electricity‐saving and service‐providing capabilities. Third, appliance replacement is enhanced by an understanding of the importance of energy saving, rather than by the willingness to save energy. Households can replace appliances because of social pressure, even if they are not so concerned about saving energy. Fourth, households are willing to renovate housing facilities even though they pay a higher cost for the greater saving capability rather than for the service‐providing capability. However, such renovation is not influenced by internal incentives, but by physical aspects of the house, such as size, age, and type.     

On the impact of the tests for serial correlation upon the test of significance for the regression coefficient

Monte Carlo methods are used to investigate the relationship between the power of different pretests for autocorrelation, and the Type I error and power of the significance test for a resulting two-stage estimate of the slope parameter in a simple regression. Our results suggest it may be preferable to always transform without pretesting. Moreover we find little room for improvement in the Type I errors and power of two-stage estimators using existing pretests for autocorrelation, compared with the results obtained given perfect knowledge about when to transform (i.e., given a perfect pretest). Rather, researchers should seek better estimators of the transformation parameter itself.     

Transactions Accounts and Loan Monitoring

We show that transactions accounts, by providing ongoing dataon borrowers’ activities, help financial intermediariesmonitor borrowers. This information is most readily availableto commercial banks, which offer these accounts and lendingtogether. We find that (1) monthly changes in accounts receivableare reflected in transactions accounts; (2) borrowings in excessof collateral predict credit downgrades and loan write-downs;and (3) the lender intensifies monitoring in response. Thisis evidence on a key issue in financial intermediation—thereis an advantage to providing deposit-taking and lending jointly.But this advantage may have fallen as the cost of communicationhas declined. (JEL G10, G20, G21)