Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Macroeconomic shocks and stock market returns: the case of Korea

This study examines the effects of macroeconomic shocks on key macro variables, including stock market returns in Korea, using the structural vector autoregression (SVAR) model. We suggest a three-variable SVAR model incorporating inflation, output growth and stock returns. We adopt a nonzero z-ratio restriction for the long-run identifying assumption to allow for economically meaningful relationships among variables. While our results support the negative (positive) relation of demand (supply) shocks to stock returns, we also find that demand shocks influence stock market variance more significantly than supply shocks do. The sub-period analysis finds that global market fluctuations during the global financial crisis have relatively little effect on Korean stock market performance. We also examine a generalized five-variable model that includes the foreign exchange rate and interest rate, confirming the results from the three-variable case.     

Benevolent leadership and follower performance: The mediating role of leader–member exchange (LMX)

This study examines leader?Cmember exchange (LMX) as a mediator of the relationship between benevolent leadership and follower task performance and extra-role performance. Using a sample of 223 leader?Cmember dyads in a nonprofit organization in the People??s Republic of China, results indicate that benevolent leadership and LMX are positively related to follower task performance and organizational citizenship behavior towards the organization (OCBO). Findings also support that LMX partially mediates the relationship between benevolent leadership and follower task performance as well as fully mediates the relationship between benevolent leadership and OCBO. Implications for the theory and practice of leadership in Asia are discussed.     

Poverty effects of food price escalation: The importance of substitution effects in Mexican households

Recent food price increases reportedly caused significant numbers of households to fall into poverty, particularly in the developing world. Most research into the welfare effects of these food price changes assumes constant demand or approximates second order substitution effects. Poverty forecasts with these assumptions may overestimate or underestimate the effect of food price increases in a nation where most households consume diverse food baskets. We account for full substitution by calculating a theoretically consistent food demand system, accounting for household responses to food price changes by decreasing some food purchases and increasing other food purchases. We use Mexican data to confirm the mitigation of adverse welfare effects from food price increases after accounting for country-specific dietary preferences in modeling demand. In comparison to previous literature, our welfare measures predict theoretically consistent numbers of Mexican households entering poverty due to recent food price changes.     

The roles of stakeholder support and procedure-oriented management on asset recovery

As the management of returned products is fast becoming a business trend caused by pressure for compliance, asset recovery is increasingly viewed as a fertile area for firms to reduce cost and improve quality. Environmental management is a viable approach for Chinese manufacturers to respond to the escalating international quest for conserving the environment, to tackle the problem of rising raw material costs, and to improve product quality by analyzing returned products. To reach the goals of cost reduction and product quality improvement, manufacturers need to understand how asset recovery can be leveraged through procedure-based practices and stakeholder support to enhance performance. Product type, characterized by different levels of demand uncertainty and time-to-market, may affect the outcomes of asset recovery adoption and should also be taken into account. Drawing on the environmental management and business logistics literature, we provide empirical insights on asset recovery adoption using survey data collected from export-oriented Chinese manufacturers. We find that asset recovery and stakeholder support are complementary in strengthening manufacturers' financial performance regardless of product type. In addition, the performance impact of asset recovery can be substantial when manufacturers' environmental management practices are less procedural, allowing flexibility in the logistics management of product flows.     

Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling

Policy makers in the European Union are envisioning the introduction of a community farm animal welfare label which would allow consumers to align their consumption habits with their farm animal welfare preferences. For welfare labelling to be viable the market for livestock products produced to higher welfare standards has to be sufficiently segmented with consumers having sufficiently distinct and behaviourally consistent preferences. The present study investigates consumers’ preferences for meat produced to different welfare standards using a hypothetical welfare score. Data is obtained from a contingent valuation study carried out in Britain. The ordered probit model was estimated using Bayesian inference to obtain mean willingness to pay. We find decreasing marginal WTP as animal welfare levels increase and that people’s preferences for different levels of farm animal welfare are sufficiently differentiated making the introduction of a labelling scheme in the form of a certified rating system appear feasible.     

Customer capabilities,switching costs,and bank performance

Customers develop switching costs when they invest time and effort to develop capabilities required to optimally use a given product. Such capabilities are likely to be firm specific and cannot be transferred perfectly to competitors' product offerings. Customers who face switching costs are likely to remain with the same firm and consume complementary products that meet their needs. Thus, firms can achieve competitive advantage by exploiting customers' switching costs. In this paper, we hypothesize that the extent to which firms can benefit from customers' switching costs is contingent upon the firms' internal cross‐selling capabilities. We use online banking data to test our hypotheses and find that customers' switching costs contribute to banks' profitability only in the presence of high levels of internal cross‐selling capabilities. Copyright © 2012 John Wiley & Sons, Ltd.     

Research and development target‐setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis

The aim of this study is to provide a foundation for researchers and managers to discuss and resolve difficulties associated with research and development (R&D) target‐setting. While multiple studies mention the difficulty of R&D target‐setting, few have compiled reasons for these difficulties or addressed this issue in detail. This paper provides one of the first studies outlining reasons for R&D target‐setting difficulties through a literature review. It also provides an initial set of analyses and results after applying an emerging quantitative method, Technology Forecasting Using Data Envelopment Analysis (TFDEA), to illustrate these difficulties step‐by‐step to commercial airplanes. Results include determining the state of art in commercial airplane technology and technological rate‐of‐change variants in setting R&D targets.     

Job Mobility in Europe,Japan and the United States

Evidence about job mobility outside the United States is scarce and difficult to compare cross‐nationally because of non‐uniform data. We document job mobility patterns of college graduates in their first three years in the labour market, using unique uniform data covering 11 European countries and Japan. Using the National Longitudinal Survey of Youth, we replicate the information in this survey to compare the results with the United States. We find that (a) US graduates hold more jobs than European graduates, (b) contrasting conventional wisdom, job mobility in Japan is only somewhat lower than the European average, and (c) there are large differences in job mobility within Europe.     

New Product Development Practices and Early‐Stage Firms: Two In‐Depth Case Studies

New product development practices (NPD) have been well studied for decades in large, established companies. Implementation of best practices such as predevelopment market planning and cross‐functional teams have been positively correlated with product and project success over a variety of measures. However, for small new ventures, field research into ground‐level adoption of NPD practices is lacking. Because of the risks associated with missteps in new product development and the potential for firm failure, understanding NPD within the new venture context is critical. Through in‐depth case research, this paper investigates two successful physical product‐based early‐stage firms' development processes versus large established firm norms. The research focuses on the start‐up adoption of commonly prescribed management processes to improve NPD, such as cross‐functional teams, use of market planning during innovation development, and the use of structured processes to guide the development team. This research has several theoretical implications. The first finding is that in comparing the innovation processes of these firms to large, established firms, the study found several key differences from the large firm paradigm. These differences in development approach from what is prescribed for large, established firms are driven by necessity from a scarcity of resources. These new firms simply did not have the resources (financial or human) to create multi‐ or cross‐functional teams or organizations in the traditional sense for their first product. Use of virtual resources was pervasive. Founders also played multiple roles concurrently in the organization, as opposed to relying on functional departments so common in large firms. The NPD process used by both firms was informal—much more skeletal than commonly recommended structured processes. The data indicated that these firms put less focus on managing the process and more emphasis on managing their goals (the main driver being getting the first product to market). In addition to little or no written procedures being used, development meetings did not run to specific paper‐based deliverables or defined steps. In terms of market and user insight, these activities were primarily performed inside the core team—using methods that again were distinctive in their approach. What drove a project to completion was relying on team experience or a “learn as you go approach.” Again, the driver for this type of truncated market research approach was a lack of resources and need to increase the project's speed‐to‐market. Both firms in our study were highly successful, from not only an NPD efficiency standpoint but also effectiveness. The second broad finding we draw from this work is that there are lessons to be learned from start‐ups for large, established firms seeking ever‐increasing efficiency. We have found that small empowered teams leading projects substantial in scope can be extremely effective when roles are expanded, decision power is ground‐level, and there is little emphasis on defined processes. This exploratory research highlights the unique aspects of NPD within small early‐stage firms, and highlights areas of further research and management implications for both small new ventures and large established firms seeking to increase NPD efficiency and effectiveness.