A Framework for Sustainable Heritage Management: A Study of UK Industrial Heritage Sites

In 2002, the World Heritage Committee declared heritage to be ‘an instrument for the sustainable development of all societies’. The term ‘sustainable development’, however, is inscribed with a complex economic, environmental and social agenda that challenges contemporary World Heritage management practice. This paper draws on a content analysis of six industrial UK World Heritage Site management plans. The analysis focuses on the extent that each plan integrates four key sustainability dimensions. Findings indicate that the planning frameworks and collaboration processes in operation at each site ensure conservation of the historical physical fabric but limit the development of a sustainable local cultural economy. A sustainable heritage management framework is presented based on the adoption of a long‐term strategic orientation and extensive local community participation in decision making. The framework is relevant to other complex heritage sites such as historic towns and cultural landscapes.     

Modernization, welfare and 'third way' politics: limits to theorizing in 'thirds'?

The current period of welfare reform in British politics is taking place within a discourse of modernization described in terms of a 'third way'. The ideas which constitute this discourse resonate with recent developments within human geography, namely a movement to theorizing 'in-between' spaces, a turn to culture and to issues of globalization. This paper suggests that welfare reform is a restructuring project which allows the nature of thinking and acting 'in thirds' to be questioned. It problematizes the 'third way' approach to cultural modernization and economic globalization as a de-politicized discourse, and argues for the cultural politics and political economics which underpin welfare reform to be foregrounded. As a form of political discourse analysis, it points to the developing need for a welfare geography that is attuned to the languages and practices through which dominant systems of social and economic distribution are constituted.     

LIBERALISM REDUX: A NEW ANTIPOVERTY POLICY?

David Ellwood. 1988. Poor Support: Povert in the American Family
Robert Haveman. 1988. Starting Even: An Equal Opportunity Program to Combat the Nation's New Poverty
Sar Levitan and Issac Shapiro. 1987. Working But Poor: America's Contradiction     

All in the Family

The authors look at how family income depends on family structure. Using data from the 1973, 1979, and 1987, Current Population Survey, the authors examine four income sources (earnings, property, child support, and government transfers) among seven family types for all families and for Latino, black, and white householder families. The authors find large income differences among families–primarily due to differences in earnings–but little change within family types over time. Increasing the work hours of adult members or relying on income support from nonresident family members is unlikely to substantially remedy the differences in income among family types, and specifically to improve the very low income of single-mother families. Other family policies are suggested.     

Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

Spatial nonstationarity is a condition in which a simple “global” model cannot explain the relationships between some sets of variables. The nature of the model must alter over space to reflect the structure within the data. In this paper, a technique is developed, termed geographically weighted regression, which attempts to capture this variation by calibrating a multiple regression model which allows different relationships to exist at different points in space. This technique is loosely based on kernel regression. The method itself is introduced and related issues such as the choice of a spatial weighting function are discussed. Following this, a series of related statistical tests are considered which can be described generally as tests for spatial nonstationarity. Using Monte Carlo methods, techniques are proposed for investigating the null hypothesis that the data may be described by a global model rather than a non-stationary one and also for testing whether individual regression coefficients are stable over geographic space. These techniques are demonstrated on a data set from the 1991 U.K. census relating car ownership rates to social class and male unemployment. The paper concludes by discussing ways in which the technique can be extended.