A systematic approach to identify core service technologies

In spite of the importance of service technologies in the service industry, they have not been analysed systematically. In response, this study proposes a new approach to identify core service technologies. At first, the technological interrelationship matrices from the perspectives of intensity, relatedness, and cross-impact are constructed with support, lift, and confidence values calculated by conducting an association rule mining on the co-classification information of business method patent data. The analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of service technologies from each perspective, considering their direct and indirect interrelationships. Data envelopment analysis is then employed to the derived importance values in order to identify core service technologies, putting three perspectives together. The proposed approach can be utilised for both firms’ planning of service technologies and service innovation policy-making of governments.     

A new approach to modeling decision-making under uncertainty

This paper presents two axiomatic models of decision making under uncertainty that avoid the use of a state space. The first is a subjective expected utility model with action-dependent subjective probabilities and effect-dependent preferences (the case of effect-independent preferences is obtained as a special instance). The second is a nonexpected utility model involving well-defined families of action-dependent subjective probabilities on effects and a utility representation that is not necessarily linear in these probabilities (a probabilistic sophistication version of this model, with action-dependent subjective probabilities is obtained as a special case). The hospitality of EUREQua, University of Paris 1, and financial support by the National Science Foundation grant SES-0314249 are gratefully acknowledged.     

Collective voluntary agreements to eliminate polluting products

Recently some industries have collectively agreed not to produce models of a product that do not meet an environmental standard. We present a model to examine a voluntary agreement of this type. The conditions under which an agreement is profitable include the stringency of the agreement, the relative performance of the greener product, industry size and the number of participants. While an agreement can be profitable for all firms (both participants and non-participants), i.e., all firms can be better off with the agreement than without it, nonetheless, a free-rider incentive exists. Thus, despite the potential for a profitable agreement, absent an effective enforcement mechanism, the agreement is not part of a Nash equilibrium. We suggest that this provides a possible explanation for the initial success of the European washing machines agreement, as well as a recent move by the industry to abandon the voluntary approaches and call for mandatory standards.     

A new approach to modeling waste in physical input-output analysis

It is important to treat waste properly in physical input-output analysis and a series of publications discussed this topic in this journal recently. In this paper, we propose a new approach to deal with physical input-output table (PIOT) measured in a single mass unit, by which the structure of PIOT need not be changed. The new approach yields consistent and reasonable results. It not only is simpler than the existing approaches but also can reflect the physical reality of economic systems. We first discuss and clarify the concept of different kinds of inputs and outputs of economic systems. We then present the details of the new approach. During the process we define a new multiplier, which builds a bridge between the total input and the final demand in PIOT, just like the traditional Leontief inverse in MIOT. We select the three-sector PIOT for Germany 1990 as a case study to show the validity of the new approach. Finally, we prove the equivalence between the new approach, Suh's approach and Dietzenbacher's approach and the equivalence of non-waste part and waste part multiplier of the new approach and Dietzenbacher's approach.     

Location choice by households and polluting firms: An evolutionary approach

This paper examines several policy regimes to deal with the problem of households suffering from environmental damage by firms in the same region. We employ an evolutionary framework to analyze migration movements in the course of time, since firms and households will not relocate immediately in response to payoff differentials. We show that taxation gives firms and households an incentive to stay away from each other. Laissez faire (compensation) only gives households (firms) an incentive to stay away from firms (households). We find that taxation creates the right incentives to reach a local welfare maximum. However, when there are multiple local maxima, circumstances may arise under which compensation leads to a better outcome than taxation.     

A theory of mutual migration of polluting firms

Abstract.  Suppose that governments care about their tax revenue and local firms have some say in environmental regulations. Then, the level of employment and environmental compliance may be negotiated. We find that firms located in different countries can improve their threat‐point payoffs by mutual migration. This in turn affects the negotiated output/employment and environmental regulations, which causes profits to increase if the firm's threat‐point payoff is higher than that of the local government. The model predicts that pollution‐intensive firms or firms with highly inelastic demands are more likely to move out. Increases in the government's valuation of the environment, or in the degree of globalization also cause mutual migration of dirty firms. The effect of a government caring about consumer surplus leads to a lower pollution tax, reducing firms' incentives to move out. JEL classification: F2, Q0     

Stock externalities and the diffusion of less polluting capital: an option approach

In this paper, the diffusion of less polluting capital in response to a stock externality is investigated. An economy is considered with identical polluted agents and a continuum of polluters who have the ability to invest in less polluting capital units. The option approach of investment decisions is used to justify environmental policies based on pollution thresholds and emission standards. The dynamics of optimal diffusion is first examined. The design of a suitable emission tax is then considered and some cases of tax inefficiency are detailed in the context of a game between symmetric polluters. The model is finally applied to greenhouse gas accumulation.     

Environmental tariffs on polluting imports

This paper examines the implications for the use of trade measures as weapons to address global environmental concerns. There are already proposals in the U.S. senate to impose an environmental tariff against foreign nations whose cost advantages stem from less stringent environmental standards than the U.S. The paper argues that trade policy measures typically are not the first best instruments for achieving environmental objectives. Even theoretically they could be shown to be welfare improving only under a very narrow range of circumstances. Their use in place of more efficient policy instruments may not only end up distorting the patterns of world trade but also may worsen the overall patterns of environmental quality. Simulation exercises undertaken here suggest that it is highly unlikely that countries would alter their environmental behavior because of the imposition of the proposed U.S. tariff. Hence the proposed legislation has very uncertain environmental consequences. Even if the policy has been mainly designed to protect domestic industries, it would only provide a minor margin of protection because the costs of complying with the environmental standards represent a relatively small element in the total costs. The analysis suggests that trade policy introduced in this fashion will have no significant impact on the patterns of world trade and pollution.     

世界上的十大污染物

世界上的十大污染物@苗斌     

A barrier options approach to modeling project failure: The case of hydrogen fuel infrastructure

Hydrogen fuel cell vehicles have the potential to contribute to a sustainable transport system with zero tailpipe emissions. This requires the construction of a network of fuel stations, a long-term, expensive and highly uncertain investment. We contribute to the literature by including a knock-out barrier option in an n-fold compound real option model to take account of immediate project failure in a multi-stage sequential investment project. Our model allows to explicitly incorporate the default possibility of large-scale energy infrastructure projects. In our case study of hydrogen infrastructure development, we find that even for the least conservative valuation method no profitable business case can be made for the development of hydrogen as a sustainable transportation mode. However, we do provide some suggestive scenarios that plausible tax schedules can be designed to overcome the starting problems for hydrogen infrastructure development.     

Optimal linear taxation of polluting oligopolists

A linear ad valorem tax can induce homogeneous oligopolists to produce at socially optimal levels, achieving the first-best allocation, in the presence of external costs that vary exogenously with aggregate output. The optimal tax rate is independent of private cost functions and thus reduces informational requirements on the regulator. Alternatively, if the regulator knows marginal private costs but not the pattern of firms' conduct or the slope of the demand curve, an iterative implementation of the tax is possible. Both blockaded and endogenous entry are considered, as is strategic behavior by firms toward the regulator.The views expressed in this paper are those of the author and do not necessarily reflect the views of the Federal Reserve Bank of Philadelphia or of the Federal Reserve System. The author is grateful to Paul Calem for helpful discussions and to two anonymous referees for helpful comments.     

Use of decision modeling for substitution analysis: Application to acceptance of new electricity-generating technologies

Substitution theory is a trend forecasting technique which purports to forecast the rate of replacement of one product or technology for another. Most existing methods describe substitutions in which one item is substituting for another. The rate of substitution is usually determined by an S-shaped function based mainly on the rate of the substitution in its early stages. This paper presents an alternative approach, decision modeling, which not only expands the area of application to multiple substitutions occuring simultaneously but can also treat cases where new substitutions have not yet begun. An application to the substitution of new electricity generating technologies is discussed in detail.     

A dynamic ecological–economic modeling approach for aquaculture management

This paper presents a Modeling Approach to Resource economics decision-maKing in EcoaquaculTure (MARKET model). The MARKET model was developed as a scenario-testing tool to provide insights on the ecological and economic interactions, which is a critical issue for sustainable aquaculture management. As a case study, the model was applied to simulate shellfish production in an embayment located in the East China Sea. A set of scenarios was used to compare the model outputs with expected trends and to test its capability to simulate relevant management scenarios. The comparison of simulated scenarios indicates that the MARKET model outputs followed the expected trends regarding both standard economic theory for consumption and production, and ecological economic theory. In all the scenarios we tested the area available for aquaculture was found to impose a limitation on production before it became less profitable to expand production. As such, in this case study, the production in the long run does not meet increasing demand. Reduction of the maximum cultivation area was simulated in one of the scenarios as an example of a conservation measure. As expected there was a reduction of the net profit of the farmers compared with the standard simulation. On the other hand, this scenario combined with an increase in price growth rate simulates a compensatory measure that led to a net profit in the same range as observed in the standard simulation. Overall the MARKET model provides insights and raises questions useful for the implementation of an ecosystem approach to aquaculture. Further developments include the simulation of waste generated by cultivated species in order to better support sustainable management objectives.     

Rational inattention and revealed preference: The data-theoretic approach to economic modeling

Beliefs have as pervasive a role as utility functions in economic models of choice, and are no more visible to the naked eye. This suggests the value of a data-theoretic approach to imperfect information along the lines of Samuelson's “revealed preference” approach to utility maximization. I introduce a recently developed approach of this nature (Caplin and Martin, 2013a, Caplin and Dean, 2013a, Caplin and Dean, 2013b). I highlight the broader potential of the data-theoretic approach to answer questions of an inter-disciplinary nature and to discipline an oncoming flood of behaviorally-relevant data.     

Stock market response to environmental policies: Evidence from heavily polluting firms in China

Pollution problems have recently become prominent in China, which has not only amplified public concerns on environmental protection but has also pushed the Chinese government to enforce more stringent environmental regulation. In this paper, we investigate the stock market response to the release of new environmental policies in China from the perspective of investor attention. By using the event study methodology, we assess the impact of 10 environmental policies issued by the central government over the period of 2014–2017. We find consistent evidence that the announcement of new environmental policies hurts the stock returns of heavily polluting firms in the short term. Meanwhile, compared to environmental regulations, environmental laws result in more adverse market reactions due to stricter policy enforcement. More importantly, investor attention to the environment issues, as measured by the Baidu Index, plays an essential role in predicting the stock market response, as we find a higher Baidu Index leads to lower stock returns for heavily polluting firms. Heterogeneity analyses further reveal the negative impact of environmental policies on market value is contingent on firm characteristics such as size, ownership structure, profitability and industry.     

A diffusion model with application to evolving medical technologies

This paper reports on a system dynamics simulation model which was developed to study the diffusion of medical technologies but which should be applicable to other sorts of technologies as well. The model addresses both the adoption and the changing extent of use of an evolving, product-based technology and also endogenously accounts for changes in actual and perceived performance. Two specific medical case studies provide background to the model and are used for testing the model's ability to reproduce various aspects of historical behavior. The model's relatively complex structure is presented in the form of influence diagrams showing major flows and relationships. The paper concludes with a discussion of contributions and possible future uses and modifications of the model.     

A categorical modeling approach to analyzing new product adoption and usage in the context of the building-materials industry

A high proportion of non-adopters is prevalent in any market where the product under consideration is relatively new or has a low acceptance rate. This results in a low proportion of adopters in a representative sample. In adoption or product usage modeling such high proportion of zeros in the dependent variable may be addressed by zero-inflated models, by modeling the product adoption and usage as a function of two latent processes. This paper considers a zero-inflated ordinal-probit model for investigating adoption and usage of innovative wall-cavity insulation materials among residential homebuilders in the US. This study assumes a three-step adoption process of innovative housing materials, namely, trial adoption, intermediate adoption and complete adoption. The study uses 5757 responses from a combined ‘Annual Builder Practices Survey’ dataset comprising ten cross-sectional yearly surveys, undertaken by the NAHB Research Center, from 1996 to 2005. The research results indicate that though a higher proportion of large firms are more likely to adopt innovative insulation material, they continue using established products while slowly increasing their use of the innovative material over time. However, when smaller homebuilders adopt an innovative insulation material, it replaces the existing product from their material usage portfolio at a faster rate.     

Centralized versus decentralized taxation of mobile polluting firms

We consider a world in which a mobile polluting firm must locate in one of two regions. The regions differ in two dimensions: their marginal cost of pollution and the production cost of the firm. It is shown that under incomplete information on regional marginal costs of pollution, fiscal competition may lead to the sub-optimal location of the firm. We also show that under incomplete information, a sub-optimal location is less likely under centralized than under decentralized taxation.