Resource and Energy Economics最新文献

What are the implications of primary mineral constraints for the energy transition? Low-carbon energy production uses green capital, which requires primary minerals. We build on the seminal framework for the transition from a dirty to a clean energy in Golosov et al. (2014) to incorporate the role played by primary minerals and their potential recycling. We characterize the optimal paths of the energy transition under various mineral constraint scenarios. Mineral constraints limit the development of green energy in the long run: Low-carbon energy production eventually reaches a plateau. We run our simulations using copper as the limiting mineral and we allow for its full recycling. Even in the limiting case of a 100% recycling rate, after five to six decades green energy production is 50% lower than in the scenario with unlimited primary copper, and after 30 decades, GDP is 3–8% lower. In extension scenarios, we confirm that a longer life duration of green capital delays copper extraction and the green energy peak, whereas reduced recycling caps moves the peak in green energy production forward.

Driving restrictions keep cars off the street largely on the basis of the last digit of the license plate number. This paper evaluates how different driving restriction policies affected the air quality of the 17 cities in Henan, one of China’s most populous provinces, from 2017 to 2019. I offer a novel way to categorize driving restrictions by making a distinction between cities that announced driving restrictions without a stated expiration and other cities that announced driving restrictions with a stated expiration. I provide some suggestive evidence on the exogeneity of timing, and using two-way fixed effects, I find significant heterogeneity in policy effectiveness. The policy reduced particulate matter concentration in cities that announced driving restrictions without a stated expiration, but had no effect in cities that announced driving restrictions with a stated expiration. To explain this difference, I build a model, which implies that driving restrictions announced without a stated expiration can induce people to pay a high fixed cost in exchange for a low transit time and not to choose non-compliance, two behavioral changes with the potential to further reduce air pollution. Thus, managing the duration of a policy and people’s expectations of its duration can matter crucially for the policy’s effectiveness.

Dust storms are extreme weather events that can lead to sharp short-duration reductions in environmental quality. Is the US and elsewhere, dust storms are becoming more frequent due to climate change and altered land-use patterns. However, our present understanding of their impacts to social welfare is limited. To address this gap, I undertake the first nationwide US study of dust storm impacts on subjective well-being using life satisfaction (LS) data from the CDC Behavioral Risk Factor Surveillance System (BRFSS) over 2005–2010. I find that LS is lower by 0.008 points on a 4-point scale on days when a dust storm occurred in a respondent’s county-of-residence, as identified by the National Weather Service. The observed LS impact is precisely estimated; occurring only on a dust storm event day and not the days immediately before or after. I calculate that individuals are willing-to-pay $111 to avoid a single dust storm event day, on the basis of the estimated well-being externality. I also show that public dust storm alerts on event days can offset more than 50% of the negative LS effect, suggestive of an important role for public risk communication.

Existing studies have investigated the environmental dividends of substituting high-speed rail (HSR) for other energy-intensive vehicles from an engineering standpoint, but they have yet to explore the economic effects of HSR and the associated carbon emissions reduction benefits. To fill the research gap, we use panel data from 285 Chinese cities between 2004 and 2014, and employ a spatial difference-in-differences model to empirically examine the impact of HSR opening on industrial CO₂ emissions. After controlling for spillover effects from neighboring HSR cities, our results show that cities offering HSR services significantly reduce their own industrial CO₂ emissions. This finding is robust and is unaffected by outliers, control group selection, time trends, geography and expectation factors, or endogeneity. The mechanism test reveals that the structural transformation effect, technological innovation effect, and investment attractiveness effect are three intermediate influence channels. Further research finds that the emissions reduction benefit increases as the spatial and temporal intensities of HSR openings ascend the ladder, and HSR services have a spillover effect within a 300-kilometer radius. Moreover, the carbon benefit of China’s HSR far surpasses its carbon footprint, indicating that China’s HSR is green after accounting for economic emissions reductions that were often neglected in prior research. Based on these findings, we recommend that China accelerate HSR expansion in order to reduce carbon emissions in a scientific and responsible manner.

Drastically reducing greenhouse gas emissions involves numerous specific actions in each sector of the economy. The costs and abatement potential of these measures are interdependent because of sectoral linkages. For instance, the carbon footprint of electric vehicles depends on the electricity mix. This issue has received large attention in the literature on Life Cycle Assessments (LCA). This paper analyzes how life cycle considerations should be integrated into policy design. We model a partial equilibrium with two vertically connected sectors, an upstream (e.g. electricity) and a downstream (e.g. transportation) one. In each sector, a dirty and a clean technology are available. The clean downstream technology consumes the upstream good and may thus shift emissions to the upstream sector. Our main contribution is to detail how optimal subsidies on clean technologies should incorporate life cycle emissions when carbon pricing is limited. The optimal downstream subsidy should be corrected for all external costs generated in the upstream sector, not only unpriced pollution but also the fiscal externality due to the subsidy to the clean upstream technology. We also analyze the joint optimization of upstream and downstream policies. The upstream subsidy should not incorporate features of the downstream sector, whereas the downstream optimal subsidy depends upon the upstream sector characteristics. All results are illustrated using a calibrated example of the electrification of passenger cars.

We study the optimal allocation of a resource in a second-best world in which parties may be liquidity-constrained due to credit frictions and capital market imperfections. In this setting, common to various natural resource industries, agents are unable to bid more than their budget regardless of their valuation. While auction markets are widely used mechanisms for allocating natural resource extraction rights and conservation contracts, we show that in these circumstances the competitive market –which allocates items based on rank order of bids– fails to achieve the first-best allocation. The market outcome is welfare-dominated by a hybrid mechanism consisting of random assignment followed by resale in a secondary market. Via the initial lottery, the hybrid-mechanism allocates the items with positive probability to high-valuation low-wealth individuals who would not have been able to afford them in a competitive market. High-valuation high-wealth agents, on the other hand, acquire the items in the secondary market if they do not receive them in the initial lottery. Therefore, equity in the allocation of access to the resource may be justified not only by distributional concerns but also by economic efficiency. We illustrate our model using data from buybacks of harvesting rights in the seafood industry.

In this paper, we examine the optimal structure of an environmental tax to pollution, a production subsidy to a domestic eco-industry, and an import tariff on environmental goods (EGs) in a two-country model where the home country imports EGs from the foreign country. Home and foreign firms that produce EGs engage in Cournot competition. We then assume that the number of the home local firms which produce EGs is constant, but that of the foreign firms is variable. Our main findings are as follows: (I) The optimal environmental tax level may be lower than the Pigouvian level even if the tax has a positive impact on the output of EGs produced by a domestic firm. (II) The optimal tariff level may be positive when the country implements the first best policy combination in a closed economy regarding the environmental tax and the subsidy. (III) The optimal subsidy level may be positive, and then the subsidy may be substitutive for the import tariff on EGs.

In this paper, we develop an empirical framework that allows us to trace out a time path of metal prices. This framework shows that unpredictable shifts in demand, extraction costs and discovery of reserves, make estimation of the slope of this underlying trend an empirical question. Further, the low elasticity of demand and supply cause large volatility in the prices, which makes estimation of the trend difficult. We estimate the trend in metal prices employing econometric procedures that are robust to the underlying order of integration of the data and allow for nonstationary volatility, which we note is a characteristic feature of metal prices. We further analyse whether metal prices are characterised by stochastic trends by conducting unit root tests that allow for nonstationary volatility. Applying these procedures on metal prices for over a century, we draw conclusions that relate to policy.