Protecting Forests Through Farming. A Dynamic Model of Nontimber Forest Extraction

Forest resource extraction by local communities has been cited as a major impediment to the efficient management of protected forests. This paper develops a two sector dynamic model for farming and forest resource extraction by communities living in the forest periphery. The model assumes that land under forestry is constant and households allocate their time to farming and forestry. Comparative dynamic results suggest that higher prices for agriculture output, lower input prices, better knowledge of farming techniques and a lower discount rate may result in a higher equilibrium stock of forest resources. Tobit analysis with primary data collected from the Sinharaja forest in Sri Lanka provides supportive empirical evidence.     

The Hotelling rule in non-renewable resource economics: A reassessment

Harold Hotelling's 1931 contribution is known for providing a basic principle—the Hotelling rule—to the economics of non-renewable resources. Nearly 90 years later, empirical tests conclude the rule lacks empirical validity, requiring strong amendments to describe the long-term, aggregate behaviour of its target object. On the basis of Hotelling's unpublished archival material, this paper revisits the place given to the Hotelling rule in non-renewable resource economics. Our reconstruction shows that Hotelling's 1931 paper has been misinterpreted: from the outset, the Hotelling rule was not valid for mineral resources. In contrast, the consideration of two inherent geological constraints, alongside exhaustibility, offered the opportunity for an alternative basic framework, capable to generate bell-shaped and U-shaped equilibrium trajectories for supplies and prices, respectively. Inspired by this unknown aspect of Hotelling's work brought to light by our archival investigation, we sketch this alternative basic model, enabling non-renewable resource economics to circumvent the empirical shortfalls of the Hotelling rule.     

Trends in the extraction of non-renewable resources: The case of fossil energy

This paper considers a strategy for the extraction and production of non-renewable resources that are finite in quantity. Specifically, we illustrate empirical data on reserves, production, consumption, and price evolution for fossil fuel. Our model is an intertemporal model of a short decision time horizon with a monopolistic resource producer extracting non-renewable resources. The model is solved numerically using a finite horizon solution method called Nonlinear Model Predictive Control (NMPC), which approximates well models with a longer decision time horizon. Consistent with the results of recent empirical studies, our numerical solution method shows a U-shaped path for the price and an inverted U-shaped path for the extraction rate, in the case of modest initial stock of proved reserves.     

A nearly complete test of a capital accumulating,vertically integrated,nonrenewable resource extracting theory of a competitive firm

A new approach to testing a generalized Hotelling theory of a nonrenewable resource extracting firm is developed. In contrast to approaches extant, it (i) permits empirical testing of all the refutable implications of the theory, (ii) does not require estimates of, or data on, the shadow value of the resource stock, (iii) does not require estimation of the feedback control functions or the necessary conditions associated with the underlying optimal control problem, and (iv) treats the capital stock in a theoretically sound manner in the econometric model. Because of certain limitations in the data, most, but not all, of the refutable implications of the theory are tested using a Bayesian approach. Other limitations in the data mean that the paper is better viewed as an illustration of how one would go about rigorously testing the extended Hotelling theory, rather than as one which presents convincing empirical evidence that supports or refutes it.     

The benefits of storage and non‐renewable resource price dynamics

Abstract Both the Theory of Storage and the Hotelling model play a prominent role in the study of non‐renewable resource prices. This paper combines these approaches by modifying the Hotelling model to allow firms to hold inventory in addition to in‐ground reserves, contributing three new results. First, inventory is more likely to be held if future demand and/or the marginal cost of extraction are uncertain. Second, the market price of the commodity is based on the Theory of Storage when inventory is held. Third, the optimal extraction of the resource is based on the Hotelling model.     

Why do many resource-rich countries have negative genuine saving?: Anticipation of better times or rapacious rent seeking

We investigate the Hartwick rule for saving of a nation necessary to sustain a constant level of private consumption for a small open economy with an exhaustible stock of natural resources. The amount by which a country saves and invests less than the marginal resource rents equals the expected capital gains on reserves of natural resources plus the expected increase in interest income on net foreign assets plus the expected fall in the cost of resource extraction due to expected improvements in extraction technology. Effectively, depletion is then postponed until better times. This suggests that it is not necessarily sub-optimal for resource-rich countries to have negative genuine saving. However, in countries with different groups with imperfectly defined property rights on natural resources, political distortions induce faster resource depletion than suggested by the Hotelling rule. Fractionalised societies with imperfect property rights build up more foreign assets than their marginal resource rents, but in the long run accumulate less foreign assets than homogenous societies. Hence, such societies end up with lower sustainable consumption and are worse off, especially if seepage is strong, the number of rival groups is large and the country does not enjoy much monopoly power on the resource market. Genuine saving is zero in such societies. However, World Bank genuine saving figures based on market rather than accounting prices will be negative, albeit less so in more fractionalised societies with less secure property rights.     

Canada’s dependence on natural capital wealth: Was Innis wrong?

Canada has abundant natural resources—its stock of natural capital wealth. A recurring debate in the literature is whether resource rich countries benefit in the form of higher sustained growth rates or not from the export of their natural resources. Canada's Harold Innis wrote extensively on this subject over 80 years ago and argued for the “no” side in the debate. Was he was right or wrong? I begin with the foundations of natural resource theory then turn to empirical work in recent decades. I agree with the literature that Canada overall has benefited from the export of its natural resources, but question whether that can continue given the focus on short term growth and the failure to account for the social costs of resource extraction and use—the environmental externalities that degrade and reduce stocks of natural capital. These externalities increasingly threaten our water and land resources and without more effective policy, the ability of resources to sustain growth and well‐being is questionable. Was Innis wrong? Yes in that the evidence supports the counter argument—resources have helped Canada become a developed economy with relatively high incomes and sustained growth rates. Innis was right that the uneven distribution of resources causes different impacts regionally especially during booms and busts and recognized the need to find substitutes for declining and degrading resource stocks. But Innis, like many after him, focused more on the intrinsic features of natural resources than policy to address the social costs of their development, a legacy that leaves us in a precarious position today.     

Discerning trends in international metal prices in the presence of nonstationary volatility

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.     

Stock prices,inflation and inflation uncertainty in the U.S.: testing the long-run relationship considering Dow Jones sector indexes

We test for the long-run relationship between stock prices, inflation and its uncertainty for different U.S. sector stock indexes, over the period 2002M7–2015M10. For this purpose we use a cointegration analysis with one structural break to capture the crisis effect, and we assess the inflation uncertainty based on a time-varying unobserved component model. In line with recent empirical studies we discover that in the long run, the inflation and its uncertainty negatively impact the stock prices, opposed to the well-known Fisher effect. In addition we show that for several sector stock indexes the negative effect of inflation and its uncertainty vanishes after the crisis outburst. However, in the short run the results provide evidence in favour of a negative impact of uncertainty, while the inflation has no significant influence on stock prices, except for the consumption indexes. The consideration of business cycle effects confirms our findings, which proves that the results are robust, both for long- and short-run relationships.     

A Stackelberg Game Model of Trade in Renewable Resources with Competitive Sellers*

We model international trade in renewable resources between a single buyer and competitive sellers as a Stackelberg differential game. The buyer uses unit and ad valorem tariffs to indirectly encourage conservation of the renewable resource under study. First, we show that the efficacy of these trade policy instruments in promoting conservation depends fundamentally on whether harvesting costs are stock dependent or independent. When harvesting costs are stock independent, the optimal open‐loop tariffs are dynamically consistent. In contrast, when harvesting costs are stock dependent, the optimal open‐loop tariffs are dynamically inconsistent. Secondly, we point out that whether the terminal value of the resource stock is higher with the stock independent or the stock dependent cost function cannot be resolved unambiguously. Thirdly, we show that it does not make sense for the buyer to use both tariffs simultaneously. Finally, we discuss the implications of these and other findings for renewable resource conservation in general.     

Property rights and groundwater management in the High Plains Aquifer

Groundwater is an important natural resource that needs to be managed dynamically. Ideally, institutions governing property rights to the groundwater of low-recharge aquifers should not discourage or disincentivize groundwater users from dynamic management. We develop an empirical model to examine whether agricultural groundwater users faced with prior appropriation property rights to groundwater in western Kansas exhibit dynamic, forward-looking behavior consistent with dynamic management. We find that although farmers are allotted a time-invariant maximum amount of groundwater that they can extract each year, they still behave in a manner consistent with dynamic management. Their groundwater extraction decisions are not significantly affected by the quantity they are authorized to extract, but are instead affected by expected future crop prices, expected future energy prices, and groundwater extraction by neighbors. Our results provide evidence that farmers manage their groundwater resource dynamically, even if their property rights do not necessarily encourage or incentivize them to do so.     

Generalized beta distributions for describing and analysing intraday stock market data: testing the U-shape pattern

There is an impressive body of empirical evidence which indicates the existence of an intraday U-shaped curve in stock prices. In an effort to shed additional light on the U-shaped curve a new procedure for U-shape testing is introduced. From careful analysis of intraday data it is observed that minimum or maximum stock prices can occur several times during the day. Here, attention is focused on the first time during the day that the maximum or minimum stock price occurred. Because of the importance of the first time during the day that the maximum or minimum stock price occurred, an attempt is made to model these two characteristics with probability distributions. The objective of this study is to use a generalized beta distribution to examine the intradaily behaviour of stocks, using closing stock prices for each one-minute interval, using data from Athens Stock Exchange (ASE). This generalized beta distribution has not been used before to model U-shaped behaviour. The results are consistent with the intraday U-shaped curves, i.e. the time to first maximum (or minimum) stock prices follows a U-shaped pattern. In addition, some potential applications of the generalized beta distribution are discussed and exemplified by analysing the relationship between herd behaviour and U-shaped.     

Macroeconomic News and Stock Returns in the United States and Germany

Abstract. Using daily data for the January 1997 to June 2002 period, we analyze similarities and differences in the impact of macroeconomic news on stock returns in the United States and Germany. We consider 27 different types of news for the United States and 12 different types of news for Germany. For the United States, we present evidence for asymmetric reactions of stock prices to news. In a boom (recession) period, bad (good) news on GDP growth and unemployment or lower (higher) than expected interest rates may be good news for stock prices. In the period under consideration there is little evidence for asymmetric effects in Germany. However, in the case of Germany, international news appears at least as important as domestic news. There is no evidence that US stock prices are influenced by German news. The analysis of bi-hourly data for Germany confirms these results.     

Price competition in markets with customer testing: the captive customer effect

We introduce product differentiation into the analysis of price competition in markets where suppliers test customers in order to assess whether they will pay for received goods or services. We find that, if the degree of differentiation is sufficiently high, suppliers may improve the average probability that their clientele will pay by charging higher prices. This helps suppliers to sustain high prices in equilibrium. Moreover, endogenizing locations in product space, we demonstrate that the high price level can be implemented in a pure-strategy subgame-perfect equilibrium with a high degree of differentiation. This is in contrast to the original Hotelling model with linear travel costs where a pure-strategy subgame-perfect equilibrium fails to exist.     

Hotelling and recycling

We study the exploitation of recyclable exhaustible resources such as metals that are crucial for the energy transition or phosphorus that is crucial for agricultural production. We use a standard Hotelling model of resource exploitation that includes a primary sector and a recycling sector. We study two polar cases: competitive and monopolistic extraction. We show that, when the primary sector is competitive, the Hotelling’s rule holds and the price of the recyclable resource increases over time. We then show a new reason why the price of an exhaustible resource may decrease: when the primary sector is monopolistic, the primary producer has incentives to delay its production activities in order to delay recycling. As a consequence, the price path of the recyclable resource may be U-shaped. Numerical simulations reveal that the monopolist has an incentive to delay extraction when the recoverability rate is high (because more recycled goods are produced) or when the recoverability rate is low (when fewer recycled goods are expected to be produced in the future). As a consequence, the date of exhaustion of the virgin resource is further away in time for high and low levels of recoverability than for intermediate levels.     

Asset prices and expected monetary policy: evidence from daily data

This article explores the relationships among Libor, gold prices, the exchange rate, oil prices, fed funds futures prices and stock prices at a daily frequency. This article examines whether expected monetary policy, measured by changes in the prices of fed funds futures contracts, reacts to high frequency changes in asset prices and, in turn, whether asset prices respond to changes in expected monetary policy. The article reveals that there are statistically significant relationships between expected US monetary policy and shocks to Libor and exchange rates. It also reveals that there is no evidence of a systematic relationship between stock prices and expected monetary policy changes. Splitting the data into expansionary and recessionary periods using NBER dating, we find results for the expansionary periods that are very similar to the results for the entire period. For the periods of recession, we find little evidence of significant linkages between markets.     

我国矿产资源价格重构中的税收效应分析

现阶段我国矿产资源价格扭曲是导致资源配置效率低下和环境污染的重要诱因。本文在标准的动态霍特林模型分析框架下,对税收与资源价格之间的关系进行理论分析,重点对矿产资源征税应采取从量税还是从价税作出解释。最后针对我国矿产资源价格改革中存在的诸多税收问题,提出资源税收进一步深化改革的政策建议。     

Stock market crash of 2008: an empirical study of the deviation of share prices from company fundamentals

The aim of this study is to investigate quantitatively whether share prices deviated from company fundamentals in the stock market crash of 2008. For this purpose, we use a large database containing the balance sheets and share prices of 7796 worldwide companies for the period 2004–2013. We develop a panel regression model using three financial indicators – dividends per share, cash flow per share and book value per share – as explanatory variables for share price. We then estimate individual company fundamentals for each year by removing the time fixed effects from the two-way fixed effects model, which we identified as the best of the panel regression models.

Based on these results, we analyse the market anomaly quantitatively using the divergence rate – the rate of the deviation of share price from a company’s fundamentals. We find that share prices on average were overvalued in the period from 2005 to 2007 and were undervalued significantly in 2008, when the global financial crisis occurred. Share prices were equivalent to the fundamentals on average in the subsequent period. Our empirical results clearly demonstrate that the worldwide stock market fluctuated excessively in the time period before and just after the global financial crisis of 2008.     

SECULAR MEAN REVERSION AND LONG‐RUN PREDICTABILITY OF THE STOCK MARKET

The empirical financial literature reports evidence of mean reversion in stock prices and the absence of out‐of‐sample return predictability over horizons shorter than 10 years. Anecdotal evidence suggests the presence of mean reversion in stock prices and return predictability over horizons longer than 10 years, but thus far, there is no empirical evidence confirming such anecdotal evidence. The goal of this paper is to fill this gap in the literature. Specifically, using 141 years of data, this paper begins by performing formal tests of the random walk hypothesis in the prices of the real S&P Composite Index over increasing time horizons of up to 40 years. Although our results cannot support the conventional wisdom that the stock market is safer for long‐term investors, our findings speak in favor of the mean reversion hypothesis. In particular, we find statistically significant in‐sample evidence that past 15‐17 year returns are able to predict the future 15‐17 year returns. This finding is robust to the choice of data source, deflator, and test statistic. The paper continues by investigating the out‐of‐sample performance of long‐horizon return forecasting based on the mean‐reverting model. These latter tests demonstrate that the forecast accuracy provided by the mean‐reverting model is statistically significantly better than the forecast accuracy provided by the naive historical‐mean model. Moreover, we show that the predictive ability of the mean‐reverting model is economically significant and translates into substantial performance gains.     

The macroeconomic effects of fiscal policy

We investigate the macroeconomic effects of fiscal policy using a Bayesian Structural Vector Autoregression (B-SVAR) approach. We identify fiscal policy shocks via a partial identification scheme, but also: (i) include the feedback from government debt; (ii) look at the impact on the composition of output; (iii) assess the effects on asset markets; (iv) use quarterly data; and (v) analyse empirical evidence from the US, the UK, Germany and Italy. The results show that government spending shocks, in general, have a small effect on Gross Domestic Product (GDP); lead to important ‘crowding-out’ effects; have a varied impact on housing prices and generate a quick fall in stock prices. Government revenue shocks generate a mixed effect on housing prices and a small and positive effect on stock prices. The empirical evidence also suggests that it is important to explicitly consider the government debt dynamics in the model.