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The construction industry plays a significant role to the economy of Hong Kong not only in terms of output but also the employment. The sector, however, has been severely hit by the economic downturn in recent years resulting in serious unemployment. Employment planning becomes one of the critical aspects for the recovery of the economy. The main objective of this paper is to establish a labour demand model for the Hong Kong construction industry. The unique characteristics and the current conditions of the construction labour market are reviewed. Regression analysis based on 123 construction projects was used to compute the relationship between expenditure and site workers employed. The best predictor of average labour demand of construction projects in Hong Kong is found to be DL = 463 C 0.934, where DL is the actual labour demand in man‐days, C is the final cost of contract in millions. The labour demand‐cost relationship can be applied as a manpower forecasting model to estimate the total labour required for a given type of project. The developed model enables a more reliable and accurate planning of manpower requirements in the construction industry.

This paper seeks to examine the contributions of rehabilitation and redevelopment projects to the labour force of the construction industry in Hong Kong. Major projects from the private and public sectors were critically examined and the manpower requirements and the tangible benefits in terms of wages arising from urban renewal were forecast.

The forecast of the expected persons to be engaged in the construction industry is based on trend regression model. Time series data of construction sites, both private and public, and persons engaged in the past ten years were forecasted for linear trend process for the next three years. From this, a reasonable estimate of man‐days to be engaged and wages to be incurred in the construction industry in the future can be obtained.

The results provide evidence that the impacts are positive. About 19.4 million man‐days and an income of HK$16.4 billion (3.8 per cent of the nominal GDP of Hong Kong in 2008) are anticipated in the short run. To meet urban regeneration needs, the Government should develop various vocational skills and enhance motivation and job search.

There are potential risks of error arising from the use of assumptions, limited sample size and data from the secondary resources.

Urban renewal works can generate more jobs. The ratio of development projects to rehabilitation works in terms of producing job opportunity by the same amount of budget is about 1 to 4.7. To meet urban regeneration needs, the Government should develop various vocational skills and enhance motivation and job search for renewal works.

Urban renewal attracts and stimulates investment, creates employment opportunities and improves the built environment of cities. Also, public rehabilitation works can play a moderate role in stabilizing the economy and the labour market.

The major contributions of this paper are: the estimated labour and financial resources to undertake such renewal works; and the more significant impact of rehabilitation work identified.

The main objective of this paper is to propose a model that allows the detection of the competitive pattern of the Spanish loans market between 1992 and 1996.

In order to achieve this objective, the paper estimates, following the New Empirical Industrial Organization paradigm, a conjectural variation model for the strategic marketing dimension of price. The model proposed allows the measurement of strategic group‐level rivalry while simultaneously considering demand, costs, and profit specifications for each bank.

The findings evidence a high degree of competition between the firms within the same strategic group. Further, the demand for loans of a firm has a positive (negative) relationship with the rivals' price (own price), with the own branch network (rivals' branch network), and with the economic activity in the regions where firm operates.

The major limitation of this research could become from the necessity to operate with detailed information that the authors try to overcome using proxies of several non‐available variables.

The model proposed herein represents a contribution to previous works and also provides more information about banking competition in the sense that it estimates price competition between firms within three strategic groups.

The existing literature documents mixed evidence toward the association between corporate social responsibility (CSR) and corporate tax planning (e.g., Davis, Guenther, Krull, & Williams, 2016; Hoi, Wu, & Zhang, 2013). In this study, I aim to identify a causal relationship between CSR and tax planning, leveraging the staggered adoptions of constituency statutes in US states, which is a plausibly exogenous shock to firms' emphasis on their social responsibility. In general, the statutes permit firm directors to consider the interests of all constituents when making business decisions, including those who benefit from firms paying their fair share of income taxes. Thus, the adoption of the statutes raises the importance of firms' social responsibility in paying income taxes. Employing a staggered difference-in-differences (DiD) method, I find that firms incorporated in states that have adopted constituency statutes exhibit significantly higher effective tax rates (ETRs) based on current tax expense. This causal relationship suggests that managers, with the legitimacy to consider the social impact of tax avoidance, become less aggressive in tax planning. I further find that the effect of adoption is stronger for financially unconstrained firms and firms in retail businesses, where the demand (cost) for tax avoidance is lower (higher). Finally, I show that my main results are driven by firms located in states with a high sense of social responsibility and firms with high levels of tax avoidance prior to the adoption. Overall, the findings in this chapter contribute to the literature by delineating a negative causal relationship between CSR and tax avoidance and identifying a positive social impact brought by the passage of constituency legislation.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

With the UK Conservative-Liberal Democrat Government reaching its mid-term point, this paper examines its austerity measures and public expenditure reductions in family support and children's services, and its revisions of family support, family intervention, child poverty, child well-being and children's services reform policies in contrast to the former Labour governments.

The paper is informed by policy analysis and research reviews.

The analysis focuses on three dimensions of policy change: first, reductions in income support for children and families and central government funding for children's services; second, refocusing child poverty, child well-being and family policies around the Conservative's “Broken Britain” campaign and the Liberal Democrats targeted social mobility initiatives; and finally, broader children's services reforms. The paper recognises some progressive developments but charts the social welfare implications of reduced welfare entitlements for families and the pressures on support services for families from children's services reforms.

The paper combines reflections on the aims, achievements and limitations of Labour reforms to family support and children's services with a broader analysis of welfare state retrenchment and restructuring under the Coalition. It places current changes in family support and children's services within the context of the ideological influences on the Coalition's social policies and the primacy of its austerity programme and welfare state reform agendas.

The purpose of this paper is to identify the interactions of factors impacting the widespread adoption of prefabricated building technologies and the intervention strategies to facilitate the development of prefabrication based on fuzzy cognitive maps (FCMs).

Through in-depth interviews with six stakeholder groups, namely, the government, developers, designers, contractors, manufacturers and researchers, 13 critical factors were identified and used to construct stakeholder-grouped FCMs, which were further aggregated into a collective FCM. The complexity and density of the collective FCM and the centrality of factors in the FCM were examined. Subsequently, a series of “what-if” simulations of the collective FCM were conducted to analyze the effectiveness of different interventions in promoting prefabrication.

The results show that three factors including market demand, cost, and policies and regulations have been mentioned by all stakeholder groups. However, these factors were ranked differently by stakeholder groups, implying that different stakeholder groups perceive the barriers to prefabricated building technologies differently. FCM simulations show that strengthening policies and regulations yield the strongest overall effect stimulating prefabrication, alleviating the organizational and environmental barriers more than the technological barriers, while improving the knowledge and expertise alleviate the technological barriers more. These measures need to be accompanied by other approaches, such as reducing cost and improving quality.

It is a tough task to promote prefabrication as it is affected by numerous barriers with complex interactions, which have been overlooked by previous studies. This study clearly shows which strategy could tackle which barriers to prefabrication through the FCM simulations. This provides valuable references for the enterprises’ decision making and the governments’ policy making to facilitate the diffusion of prefabricated building technologies.

Few studies aim to analyze the interactions among the barriers to prefabrication, while this study specifically investigates this issue by illustrating the complex interactions using FCMs. Few studies also aim to identify the intervention strategies promoting prefabrication based on a quantitative approach, while this study employs FCM simulations to directly simulate the effectiveness of different strategies to facilitate prefabrication in a quantitative manner.

Before the 1997 Asian Financial Crisis, Thailand had the fastest growing level of foreign direct investment (FDI) inflows amongst Asian economies. The general objective of this research is to evaluate the determinants of FDI investment in Thailand post the 1997 crisis; our empirical investigation of the determinants of Thailand's FDI relates to the period 1998–2008. The end of this period also covers the global financial crisis of 2007–2008; the effects of this crisis on FDI generally may be premature to judge given that most FDI projects have lead times ranging from 12 to 18 months. The chapter also provides an update covering the latest available FDI data by comparing 2008–2009 quarter 1 FDI flows both regionally and for Thailand.