Investment and emission control under technology and pollution externalities

This paper studies incentives to develop advanced pollution abatement technology when technology may spillover across agents and pollution abatement is a public good. We are motivated by a variety of pollution control issues where solutions require the development and implementation of new pollution abatement technologies. We show that at the Nash equilibrium of a simultaneous-move game with R&D investment and emission abatement, whether the free rider effect prevails and under-investment and excess emissions occur depends on the degree of technology spillovers and the effect of R&D on the marginal abatement costs. There are cases in which, contrary to conventional wisdom, Nash equilibrium investments in emissions reductions exceed the first-best case.     

Marginal abatement costs of greenhouse gas emissions from European agriculture, cost effectiveness, and the EU non-ETS burden sharing agreement

We propose a quantitative assessment of the marginal abatement costs (MAC) of greenhouse gas emissions from European agriculture and analyze the implications of the non-ETS burden-sharing agreement (BSA) for this sector. This assessment is based on MAC reduced forms, the generic specification of which enables simple parameterization and numerical computations. Such MAC curves are parameterized for each Member State using the outputs of a detailed model of the European agricultural supply. They are then used to compute total and marginal abatement costs involved by the BSA targets, as well as the cost-effective effort sharing, the corresponding emission price and abatement costs. The main findings are: (i) flexibility mechanisms such as a cap-and-trade system for agricultural emissions could reduce the total costs of meeting the 10% EU abatement target by a factor two to three relative to the strict implementation of each country's target, (ii) the corresponding equilibrium emission price is found to be 32-42 €/tCO₂eq depending on the assumption regarding business-as-usual emissions, and (iii) a cap-and-trade system with allowances based on the BSA targets would involve substantial transfers from EU-15 countries to New Member States, an important share of which being made of ‘hot air’.     

Technology Diffusion with Market Power in the Upstream Industry

This paper compares taxes and tradable permits when used to regulate a competitive and polluting downstream industry that can purchase an abatement technology from a monopolistic upstream industry. Second-best policies are derived for the full range of the abatement technology’s emission intensities and marginal abatement costs. The second-best permit quantity can be both above or below the socially optimal emission level. Explicit consideration of the output market provides further insights on how market power distorts the allocation in the downstream industry. The ranking between permits and taxes is ambiguous in general, but taxes weakly dominate permits if full diffusion is socially optimal. In addition, it is analysed how a cap on the permit price affects the diffusion of an abatement technology.     

A Note on Emissions Taxes and Incomplete Information

In contrast with what we perceive is the conventional wisdom about setting a second-best emissions tax to control a uniformly mixed pollutant under uncertainty, we demonstrate that setting a uniform tax equal to expected marginal damage is not generally efficient under incomplete information about firms’ abatement costs and damages from pollution. We show that efficient taxes will deviate from expected marginal damage if marginal damage is increasing and there is uncertainty about the slopes of the marginal abatement costs of regulated firms. Moreover, tax rates will vary across firms if a regulator can use observable firm-level characteristics to gain some information about how the firms’ marginal abatement costs vary.     

Induced technological change and the attractiveness of CO2 abatement policies

This paper investigates the significance of induced technological change (ITC) for the attractiveness of CO₂ abatement policies. We use analytical and numerical general equilibrium models in which technological change results from profit-maximizing investments in R&D. We show that carbon abatement policies have very different impacts on R&D across industries, and do not necessarily raise the economy-wide rate of technological progress. Focusing only on the sectors with positive R&D impacts can lead to substantial underassessment of the GDP costs of CO₂ abatement policies. The presence of ITC implies lower costs of achieving a given abatement target, but it implies higher gross costs (costs before netting out environment-related benefits) of a given carbon tax. Gross costs depend importantly on the efficiency of R&D markets prior to the introduction of CO₂ policies.     

Business type,industry value chain,and R&D performance: Evidence from high-tech firms in an emerging market

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.     

Endogenous technology and tradable emission quotas

We study an international climate agreement that assigns emission quotas to each participating country. Unlike the simplest models in the literature, we assume that abatement costs are affected by R&D activities undertaken in all firms in all countries, i.e. abatement technologies are endogenous. In line with the Kyoto agreement we assume that the international climate agreement does not include R&D policies. We show that for a second-best agreement with heterogeneous countries, marginal costs of abatement differ across countries. In other words, the second-best outcome cannot be achieved if emission quotas are tradable.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

Strategic Investment in Climate Friendly Technologies: The Impact of Global Emissions Trading

Our point of departure is that a group of industrialized countries invest in research and development (R&D) of greenhouse gas (GHG) abatement technologies. R&D investments influence the future GHG abatement choices of both industrialized and developing countries. We distinguish between investments that reduce industrialized countries’ abatement costs and investments that reduce developing countries’ abatement costs. Unlike earlier contributions, we include global trading in emission permits. This changes the nature of the game. With global permit trading, industrialized countries should in many cases invest strategically in technologies that only reduce abatement costs at home. This comes in addition to investments abroad. Second, we show that R&D investments always decrease total emissions. Finally, we find that the developing region receiving investments always benefits.     

R&D boundaries of the firm: An estimation of the double-hurdle model on commissioned R&D,joint R&D,and licensing in Japan

This paper studies the firm’s decisions on in-house R&D and its procurement from outside through commissioned R&D, joint R&D, and technology acquisitions (i.e., licensing-in). Using the data about 14,000 manufacturing firms in Japan, we estimate a modified double-hurdle model in which the first hurdle determines whether the firm should perform any R&D at all and the second hurdle determines whether (and how much) it should perform each mode of procured R&D. The results generally support the two major theories—the transaction cost theory and the capability theory. The estimated positive effects of firm size, in-house R&D intensity, diversification, and vertical integration support the hypothesis that capability is needed for procured R&D, while the estimated positive effect of the index of appropriability by patents supports the hypothesis that this appropriability reduces transaction costs. In addition, we found that information flow from scientific sources and that from transaction-based sources affect the three modes of procured R&D differently.     

Industry-level emission trading between power producers in the EU

This paper investigates how restrictions for emission trading to the energy-intensive power sector will affect the magnitude and distribution of abatement costs across EU countries vis-à-vis a comprehensive EU emission trading regime. It is found that emission trading between European power sectors allows the harvest of a major part of the efficiency gains provided by full trade as compared to strictly domestic action. However, trade restrictions may create a more unequal distribution of abatement costs across member states than is the case for a comprehensive trade regime. The reason for this is that restricted permit trade enhances secondary terms-of-trade benefits to EU member countries with low marginal abatement costs at the expense of the other EU member states.     

Does Technological Innovation Really Reduce Marginal Abatement Costs? Some Theory,Algebraic Evidence,and Policy Implications

The existing literature models innovation in pollution control as a reduction in marginal abatement costs. We show that this assumption is inappropriate for production process innovations such as fuel switching. Algebraically, we examine the effects of different innovation types on marginal abatement cost curves, showing that some desirable innovations increase marginal abatement costs. Empirically, we estimate marginal abatement costs for sulfur dioxide by measuring the output distance function for electric power in Korea. Regression results confirm that production process innovations did raise marginal abatement costs in this case. One policy implication: economic instruments do not always provide stronger innovation incentives than command-and-control policies.      

MANAGING ADVANCED TECHNOLOGY SYSTEM DEPLOYMENT: AN OPTIMAL ALLOCATION BETWEEN R&D AND PROTOTYPE FUNDING

The research and development manager allocates R&D funds to maximize the expected discounted net value of the R&D programme. Because public R&D managers do not have the same market discipline (or rewards) as private R&D managers, public R&D managers require a methodology for maximizing the expected net benefits. The US National Research Council of the National Academies in Prospective Evaluation of Applied Energy Research and Development at DOE (Phase One): A First Look Forward (2005) proposed a cost-benefit methodology to evaluate US Department of Energy's Research, Development, and Demonstration (RD&D) programmes. This paper specifies and extends this methodology, e.g., by adding cost targets into each stage of the RD&D process. Expected benefits are modelled as a function of funding levels, stage durations, stage transition probabilities, and target costs. With this method, the paper determines an optimal allocation of pre-prototype R&D funding, given a total funding constraint for an advanced energy system.     

Technology,the Technology Complex and the Paradox of Technological Determinism

This paper examines the working definitions of the term 'technology' across a range of disciplines such as industrial relations, organizational behaviour, operations management and development economics. The precise 'subdefinition' of technology in use depends on the disciplinary problematic. We develop a conceptual device called the technology complex to reveal the pattern that is observable when a large number of subdefinitions are compared. The technology complex is a list of the distinctive 'elements' that comprise the disciplinary subdefinitions of technology and it orders this list of elements from the 'physical' to the 'cultural'. The technology complex captures the idea that a working definition of technology will be some selection from the elements of the complex. The technology complex also captures the idea that in its most general sense 'technology' is 'knowledge related to artefacts'. We apply the technology complex to the issue of determinism in technological and social change using the examples of aircraft design and robotics. We argue that there is not an 'either—or' issue between the social and the technological influences on change since the terms are not distinct: 'technology' always includes some aspect of the social. We show how what appears to be 'technological determinism' in the examples of aircraft design and robotics use can be understood through the technology complex.     

Climate Policy,Learning, and Technology Adoption in Small Countries

A significant reduction in global greenhouse gas emissions requires international cooperation in emission abatement as well as individual countries’ investment in the adoption of abatement technology. The existing literature on climate policy pays insufficient attention to small countries, which account for a substantial proportion of global emission. In this study, we investigate how climate policy and learning about climate damage affect investment in abatement technology in small countries. We consider three alternative climate policy instruments: emission standards, harmonized taxes and auctioned permits. We say that learning is feasible if an international environmental agreement (IEA) is formed after the resolution of uncertainty about climate damage. We find that, either with learning and quadratic abatement costs or without learning, harmonized taxes outperform emission standards and auctioned permits in terms of investment efficiency. Without learning, a large cost of nonparticipation (that a country incurs) in the IEA can be beneficial to the country. Whether learning improves investment efficiency depends on the size of this nonparticipation cost.     

Domestic R&D,Foreign Direct Investment and Welfare

This paper provides a new rationale to examine the two‐way relationship between domestic research and development (R&D) and foreign direct investment (FDI), as well as their impacts on domestic welfare. Our analysis is based on the strategic interaction in cost‐reducing investment decisions between domestic firms and a foreign firm, which is different from the common factors that are discussed in the literature such as spillovers and technology sourcing. Our results are as follows. We show that domestic R&D investment may either increase or decrease the foreign firm's FDI incentives. Further, depending on the marginal cost of domestic firms, domestic R&D incentives can always increase regardless of the effects of domestic R&D investment on the foreign firm's FDI decision. Finally, we find that domestic welfare improves under domestic cost reduction if the slope of the marginal cost of domestic R&D investment is sufficiently small.     

Emissions abatement R&D: Dynamic competition in supply schedules

This paper investigates the optimal environmental policy (the mix of emissions tax and research and development [R&D] subsidy) in a dynamic setting when two firms, producing differentiated products, compete in the output market over time. Firms compete in a differential game setting over supply schedules, which encompasses a continuum of imperfect competition equilibria from Bertrand to Cournot. Although production generates environmentally damaging emissions, firms can undertake R&D that has the sole purpose of reducing emissions. In addition to characterizing the optimal policy, we examine how the optimal tax and subsidy, and the optimal level of abatement, change as competition intensifies, as the dynamic parameters change, and as the investment in abatement technology changes. In this setting, competition increases welfare through its impact on the final goods price. However, lower prices result in larger quantities and more pollution. Our key contribution is to show how the impact of increased competition on welfare depends on the extent of the market and the nature of preferences and technology.     

Optimal Policy under Uncertainty and Learning about Climate Change: A Stochastic Dominance Approach

Global climate change presents a classic problem of decision making under uncertainty with learning. We provide stochastic dominance theorems that provide new insights into when abatement and investment into low carbon technology should increase in risk. We show that R&D into low-carbon technologies and near-term abatement are in some sense opposites in terms of risk. Abatement provides insurance against the possibility of major catastrophes; R&D provides insurance against the possibility that climate change is marginally worse than average. We extend our results to the comparative statics of learning.     

Effluent taxes,market structure,and the rate and direction of endogenous technological change

This paper studies the effects of effluent taxes on firms’ allocation of resources to cost-reducing and emission-reducing R&D, and on entrepreneurs’ decisions to develop new goods and enter the market. A tax set at an exogenous rate that does not depend on the state of technology reduces growth, the level of consumption of each good, and raises the number of firms. The induced increase in the variety of goods is a benefit not considered in previous analyses. In terms of environmental benefits, the tax induces a positive rate of pollution abatement that offsets the “dirty” side of economic growth. A tax set at an endogenous rate that holds constant the tax burden per unit of output, in contrast, has ambiguous effects on growth, the scale of activity of each firm and the number of firms. Besides being novel, the potential positive growth effect of this type of effluent tax is precisely what makes this instrument effective for welfare-maximizing purposes. The socially optimal policy, in fact, requires the tax burden per unit of output to equal the marginal rate of substitution between the growth rate of consumption and abatement. Moreover, a tax/subsidy on entry is needed, depending on whether the contribution of product variety to pollution dominates consumers’ love of variety.      

Optimal Timing of Climate Change Policy: Interaction Between Carbon Taxes and Innovation Externalities

This paper addresses the impact of endogenous technology through research and development (R&D) on the timing of climate change policy. We develop a model with a stock pollutant (carbon dioxide) and abatement technological change through R&D, and we use the model to study the interaction between carbon taxes and innovation externalities. Our analysis shows that the timing of optimal emission reduction policy strongly depends on the set of policy instruments available. When climate-specific R&D targeting instruments are available, policy has to use these to step up early innovation. When these instruments are not available, policy has to steer innovation through creating demand for emission saving technologies. That is, carbon taxes should be high compared to the Pigouvian levels when the abatement industry is developing. Finally, we calibrate the model in order to explore the magnitude of the theoretical findings within the context of climate change policy.