Why Taxing Carbon May Not Make the World More Green

Although taxing carbon is an idea that enjoys significant support among policymakers and business leaders, new research indicates that carbon taxation can actually cause energy investments to gravitate away from the cleanest energy technologies. This counterintuitive finding reflects two key characteristics of energy markets: the worldwide increase in renewable energy sources whose output is intermittent and variable; and greater market liberalization, which has made the spot driving of electricity more volatile. The intermittency of renewable energy sources requires backup generation, typically from generators using fossil fuels. The dynamics of market liberalization amplify this negative effect of intermittency. Policymakers need to take steps to reduce intermittency by supporting storage technologies or setting monetary incentives to increase renewable generation capacity investment.https://repository.upenn.edu/pennwhartonppi/1052/thumbnail.jp

Time series properties of the renewable energy diffusion process: Implications for energy policy design and assessment

Confronted by increasingly tight budgets and a broad range of alternative options, policy makers need empirical methods to evaluate the effectiveness of policies aimed at supporting the diffusion of renewable energy sources (RES). Rigorous empirical studies of renewable energy policy effectiveness have typically relied on panel data models to identify the most effective mechanisms. A common characteristic of some of these studies, which has important econometric implications, is that they assume that the contribution of RES to total electricity generation will be stationary around a mean. This paper reviews such assumptions and rigorously tests the time series properties of the contribution of RES in the energy mix for the presence of a unit root. To that end, we use both individual and panel unit root tests to determine whether the series exhibit non-stationary behavior at the country level as well as for the panel as a whole. The analysis, applied to a panel of 19 OECD countries over the period 1990–2012, provides strong evidence that the time series of the renewable share of electricity output are not stationary in 17 of the 19 countries examined. This finding has important implications for energy policy assessment and energy policy making, which are discussed in the paper

Time series properties of the renewable energy diffusion process: Implications for energy policy design and assessment

Confronted by increasingly tight budgets and a broad range of alternative options, policy makers need empirical methods to evaluate the effectiveness of policies aimed at supporting the diffusion of renewable energy sources (RES). Rigorous empirical studies of renewable energy policy effectiveness have typically relied on panel data models to identify the most effective mechanisms. A common characteristic of some of these studies, which has important econometric implications, is that they assume that the contribution of RES to total electricity generation will be stationary around a mean. This paper reviews such assumptions and rigorously tests the time series properties of the contribution of RES in the energy mix for the presence of a unit root. To that end, we use both individual and panel unit root tests to determine whether the series exhibit non-stationary behavior at the country level as well as for the panel as a whole. The analysis, applied to a panel of 19 OECD countries over the period 1990–2012, provides strong evidence that the time series of the renewable share of electricity output are not stationary in 17 of the 19 countries examined. This finding has important implications for energy policy assessment and energy policy making, which are discussed in the paper

Does economic growth matter? Technology-push, demand-pull and endogenous drivers of innovation in the renewable energy industry

This paper aims to contribute to the longstanding technology-push vs. demand-pull debate and to the literature on renewable energy policy assessment. We argue that in addition to the traditional push–pull dichotomy, the drivers of technological change must be differentiated by whether they are exogenous or endogenous to the economic system and must be assessed with respect to their contribution to both the creation and the diffusion of innovation. We apply this perspective to study innovation in the renewable energy (RE) industry in 15 European Union countries from 1990 to 2012. Using different panel data estimators, we find that public R&D investments, policies supporting RE and per capita income all have a positive effect on either innovation creation or diffusion, whereas the variability of policy support has a negative impact on diffusion. However, impacts are heterogeneous and differ depending on the innovation dimension considered. Most importantly, we find that economic growth is a stronger driver of RE diffusion than technology-push or exogenous demand-pull mechanisms, whereas it is relatively ineffective at stimulating innovation creation. The effect of economic growth on RE diffusion exhibits a nonlinear, U-shaped pattern that resonates with the Environmental Kuznets Curve hypothesis. RE penetration remains negligible at low levels of growth whereas it increases sharply only after income per capita has reached a given threshold. This effect has both a direct cause (with increased affluence demand for environmental quality rises) and an indirect cause (with increased affluence expensive RE policies become more affordable and get implemented more extensively). Our findings have implications for policy making. They suggest that for RE diffusion to increase, innovation policies should be carefully balanced. Government action should be directed not only at shielding renewables from competition with fossil fuel technologies, but also at stimulating aggregated demand and economic growth

Is your valley as green as it should be? Incorporating economic development into environmental performance indicators

Sustainability rankings are receiving increasing attention by the academic and the policy making communities because of their potential to influence environmental legislation and reshape competitive landscapes. Unfortunately, most of the indicators used to produce these rankings do not take into account economic development and tend to be biased in favor of richer countries. To circumvent this limitation we develop a novel, rigorous and simple metric that ranks countries by their potential environmental performance relative to their wealth; in other words, by the degree of sustainability that a country should achieve, given its level of affluence. We apply our approach to measure the sustainability level of 15 developed economies with respect to the share of renewable energy sources in their electricity generating portfolios. The resulting ranking produces changes in the perceived greenness of certain countries. If adopted, it would allow these countries to increase their bargaining power in international negotiations. It would also alter the pressure faced by their governments to implement or discontinue environmental policies such as feed-in tariffs. Although we applied it at the country level and in the context of renewable energy, the method has far-reaching implications and it can also be used to compare corporate sustainability levels

Does economic growth matter? Technology-push, demand-pull and endogenous drivers of innovation in the renewable energy industry

This paper aims to contribute to the longstanding technology-push vs. demand-pull debate and to the literature on renewable energy policy assessment. We argue that in addition to the traditional push–pull dichotomy, the drivers of technological change must be differentiated by whether they are exogenous or endogenous to the economic system and must be assessed with respect to their contribution to both the creation and the diffusion of innovation. We apply this perspective to study innovation in the renewable energy (RE) industry in 15 European Union countries from 1990 to 2012. Using different panel data estimators, we find that public R&D investments, policies supporting RE and per capita income all have a positive effect on either innovation creation or diffusion, whereas the variability of policy support has a negative impact on diffusion. However, impacts are heterogeneous and differ depending on the innovation dimension considered. Most importantly, we find that economic growth is a stronger driver of RE diffusion than technology-push or exogenous demand-pull mechanisms, whereas it is relatively ineffective at stimulating innovation creation. The effect of economic growth on RE diffusion exhibits a nonlinear, U-shaped pattern that resonates with the Environmental Kuznets Curve hypothesis. RE penetration remains negligible at low levels of growth whereas it increases sharply only after income per capita has reached a given threshold. This effect has both a direct cause (with increased affluence demand for environmental quality rises) and an indirect cause (with increased affluence expensive RE policies become more affordable and get implemented more extensively). Our findings have implications for policy making. They suggest that for RE diffusion to increase, innovation policies should be carefully balanced. Government action should be directed not only at shielding renewables from competition with fossil fuel technologies, but also at stimulating aggregated demand and economic growth

Competition and the Operational Performance of Hospitals: The Role of Hospital Objectives

We examine the effect of a hospital's objective (i.e., non-profit versus for-profit) in hospital markets for elective care. Using game-theoretic analysis and queueing models to capture the operational performance of hospitals, we compare the equilibrium behavior of three market settings in terms of such criteria as waiting times and the total patient cost from waiting and hospital care payments. In the first setting, patients are served exclusively by a single non-profit hospital; in the second, patients are served by two competing non-profit hospitals. In our third setting, the market is served by one non-profit hospital and one for-profit hospital. A non-profit hospital provides free care to patients, although they may have to wait; for-profit hospitals charge a fee to provide care with minimal waiting. A comparison of the first two settings reveals that competition can hamper a hospital's ability to attain economies of scale and can also increase waiting times. A comparison between the second and third settings indicates that, when the public funder is not financially constrained, the presence of a for-profit sector may allow the funder to lower both the financial costs of providing coverage and the total costs to patients. Our analysis suggests that the public funder should exercise caution when using policy tools that support the for-profit sector -- for example, patient subsidies -- because such tools may increase patient costs in the long run; it might be preferable to raise the level of reimbursement to the non-profit sector

Recovery Targets and Taxation/Subsidy Policies to Promote Product Reuse

This paper seeks to identify the optimal policies for promoting product recovery and remanufacturing. Using a stylized equilibrium model, we analyze the problem as a Stackelberg game between a regulator and a monopolistic firm. We compare three types of policies that legislated regulation could effect: (i) A recovery target policy that requires firms to recover no less than a specified fraction of their production for proper disposal or possible remanufacturing; (ii) a taxation policy that both taxes manufacturing and subsidizes remanufacturing; and (iii) a newly introduced mixed approach that incorporates a recovery target as well as taxes and subsidies. We study a firm's behavior under the three policy types, including pricing decisions for new and remanufactured products as well as the strategic decision of whether to create a secondary channel for remanufactured products. We find that legislative intervention makes it more likely that firms will maintain a single-market strategy. We further demonstrate the mixed approach's superiority as measured by a comprehensive set of economic and environmental criteria, and show that this finding is robust under two different objective functions for the policy maker, one that does and one that does not entail a budget neutrality constraint

Input-Price Risk Management: Technology Improvement and Financial Hedging

Research has suggested that firms may benefit from price uncertainty - about input commodities - because it creates an "option value". We use a stylized mathematical model to explore and generalize this claim and to specify its implications for firms' investment decisions under various setups. In particular, we study firms' motivation for investing in such risk management measures as financial hedging (FH) and technology improvement (TI): technology changes that result in less consumption of an input commodity, fewer waste products and emissions, and lower production costs. We derive a simple expression that explicitly quantities firm's attitude toward input-price risk by considering the firm's (positive or negative) risk premium (i.e., what it would pay to "lock in" the unit input price at its mean) and linking that premium to various firm and industry-level characteristics. Also, we examine the comparative risk management advantages of TI and FH and characterize conditions under which these strategies are complements or substitutes. We find that although input-price uncertainty may be beneficial even for risk-averse firms, they can benefit from investing in risk reduction measures (e.g., TI, FH) because they could increase the option value of that uncertainty. A firm's ability to adjust its price in response to both market competition and input-price variation mediates the benefit of risk-reducing measures and also affects the two strategies' complementarity