Real estate prices in Beijing, 1644 to 1840

This paper provides the first estimates of housing price movements for Beijing in late pre-modern China. We hand-collect from archival sources transaction prices and other house attribute information from the 498 surviving house sale contracts for Beijing during the first two centuries of the Qing Dynasty (1644–1840), a long period without major wars, political turmoil, or significant institutional change in the Chinese capital. We use hedonic methods to construct a real estate price index for Beijing for the period. The regression analysis explains a major proportion of the variance of housing prices. We find that house prices grew steadily for the first half-century of the Qing Dynasty and declined afterwards in both nominal and real terms through the late eighteenth century. Nominal prices grew starting in the late eighteenth century and declined from the early nineteenth century through 1840. But these price changes occurred with contemporaneous price changes in basic measures of the cost of living: there was little change in real terms to the end of our period.     

Discretionary accounting choices and the predictive ability of accruals with respect to future cash flows

Using a sample of restatement firms and a meet-or-beat model to classify firms as making discretionary accounting choices for opportunistic meet-or-beat (OP-MB) reasons, we show that originally reported earnings and accrual components are less predictive of future cash flows relative to the restated numbers. We find the opposite is true for firms classified as making discretionary accounting choices for non-OP-MB reasons. We consider a number of competing explanations for these latter results. Our findings are most consistent with the informational hypothesis, weakly consistent with conservative-motivated efficient contracting hypotheses, but inconsistent with opportunistic contracting and misapplication/errors of GAAP explanations.     

迎接“空”时代

融资融券和股指期货推出，就很可能立即对当前的市场产生影响，尤其是资产价格相当之贵的A股市场。     

Facilitating public participation in tourism planning on American Indian reservations: A case study involving the Nominal Group Technique

Tourism is frequently cited as a tool by which American Indians can strengthen the economies of their reservations. However, successful tourism development on such reservations requires effective tourism planning, and effective tourism planning requires public participation in the planning process. The Nominal Group Technique (NGT) has proved to be a useful group process in the tourism field but its application to tourism planning on American Indian reservations has been unexplored. This article helps to fill this knowledge gap by reporting on an NGT workshop conducted on the Lake Traverse Reservation of the Sisseton–Wahpeton Oyate (people, nation) in North and South Dakota, USA. Rich information on tourism development possibilities for three lakefront properties was obtained. Possible success factors are discussed and suggestions for conducting similar future workshops on American Indian reservations are advanced.     

Market entry in japan—Some problems and solutions 1

Japan is recognised as a major competitor in world markets but is less well‐known as an attractive market in its own right. This paper proposes that with the right strategies it is possible to successfully penetrate the difficult Japanese market. Problems and opportunities presented by the market are discussed, and some of the findings of a survey of Japanese and German managers in Japan and German‐based managers are reviewed. The paper covers the survey findings on market characteristics, barriers to entry, information requirements, factors contributing to success and methods of market entry. German and UK sources of information and advice on the Japanese market are given for those interested in pursuing the matter further.     

Purchasing Competence: A Stakeholder‐Based Framework for Chief Purchasing Officers

A specific research stream within the purchasing and supply management literature focuses on the development of purchasing competence frameworks. We apply stakeholder theory and multiple methods of data collection to develop and confirm a hierarchy‐specific purchasing competence management framework for Chief Purchasing Officers and validate it using confirmatory factor analysis on empirical data from 124 multinational companies. The results reveal a significant relationship between Chief Purchasing Officers purchasing management competence and different purchasing performance measures confirming the appropriateness of stakeholder theory for such a competence framework.     

Challenges for land system science

While considerable progress has been made in understanding land use change, land system science continues to face a number of grand challenges. This paper discusses these challenges with a focus on empirical land system studies, land system modelling and the analysis of future visions of land system change. Contemporary landscapes are contingent outcomes of past and present patterns, processes and decisions. Thus, empirical analysis of past and present land-use change has an important role in providing insights into the socio-economic and ecological processes that shape land use transitions. This is especially important with respect to gradual versus rapid land system dynamics and in understanding changes in land use intensity. Combining the strengths of empirical analysis with multi-scale modelling will lead to new insights into the processes driving land system change. New modelling methods that combine complex systems thinking at a local level with macro-level economic analysis of the land system would reconcile the multi-scale dynamics currently encapsulated in bottom-up and top-down modelling approaches. Developments in land use futures analysis could focus on integrating explorative scenarios that reflect possible outcomes with normative visions that identify desired outcomes. Such an approach would benefit from the broad and in-depth involvement of stakeholders in order to link scientific findings to political and societal decision-making culminating in a set of key choices and consequences. Land system models have an important role in supporting future land use policy, but model outputs require scientific interpretation rather than being presented as predictions. The future of land system science is strongly dependent on the research community's capacity to bring together the elements of research discussed in the paper, via empirical data collection and analysis of observed processes, computer simulation across scale levels and futures analysis of alternative, normative visions through stakeholder engagement.