The political economy of decarbonisation: from green energy ‘race’ to green ‘division of labour’

This paper aims to provide an addendum to the rapidly growing concept of a global ‘green energy race’ between major states. It argues that although this framing has been useful in underscoring important dynamics in the process of decarbonisation, its narrow focus on installed capacity obscures a much broader and more complex process at play. In particular, it overlooks the critical role played by states aggressively investing in R&D and export manufacturing in the renewable energy sector. The paper thus supplements the concept of a green ‘energy race’ with that of a green ‘global division of labour’, which sees the process of decarbonisation not exclusively as an effort by individual states to install renewables domestically, but rather as a collective and interdependent process by dozens of states, all striving in different ways to promote capital accumulation on their soil. The paper provides an overview of data covering innovation, manufacturing and deployment in the clean energy sector, and offers a theoretical analysis of the trends observed.     

The double EMG distribution and trade elasticities

Using Brazilian export data that, unlike many trade data sets, have a full record of small export sales, this paper reconsiders trade elasticities and the welfare gains from trade. Using the Brazilian data, this paper provides novel evidence on the properties of the distributions of log‐export sales and shows that the double exponentially modified Gaussian (EMG) distribution parsimoniously captures these properties. Using the double EMG distribution in a standard monopolistic competition model of trade, this paper demonstrates that data truncation, which is prevalent in many data sets, leads to an upward bias in measuring the partial elasticity of trade with respect to variable trade costs. This bias subsequently leads to the underestimation of the gains from trade by 1% to 9% depending on the extent of data truncation, a range that is commensurate with typical economic growth and large booms.     

Cross-sectional determinants of bank performance under deposit dollarization in emerging markets

Dollar-denominated deposits and loans could increase financial fragility in emerging market banking systems. This currency mismatch does not only increase banks' currency risk when the proportion of dollar-denominated loans with respect to local-denominated loans increases but also it increases their clients' default risk if depreciation occurs. This paper investigates the profitability of 36 dollarized banking systems. Results suggest that after controlling for some macroeconomic and institutional variables, dollarization, as the currency mismatch hypothesis suggests, depresses bank performance and lowers bank profitability. Results also show that the effect of institutions more than offsets the negative impact of dollarization on banks' profitability.     

Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange

This paper investigates the use of tick-by-tick data for intraday market risk measurement. We propose a method to compute an Intraday Value at Risk based on irregularly spaced high-frequency data and an intraday Monte Carlo simulation. A log-ACD–ARMA–EGARCH model is used to specify the joint density of the marked point process of durations and high-frequency returns. We apply our methodology to transaction data for three stocks actively traded on the Toronto Stock Exchange. Compared to traditional techniques applied to intraday data, our methodology has two main advantages. First, our risk measure has a higher informational content as it takes into account all observations. On the total risk measure, our method allows for distinguishing the effect of random trade durations from the effect of random returns, and for analyzing the interaction between these factors. Thus, we find that the information contained in the time between transactions is relevant to risk analysis, which is consistent with predictions from asymmetric-information models in the market microstructure literature. Second, once the model has been estimated, the IVaR can be computed by any trader for any time horizon based on the same information and with no need of sampling the data and estimating the model again when the horizon changes. Backtesting results show that our approach constitutes reliable means of measuring intraday risk for traders who are very active in the market.     

Testing the presence and the absence of purchasing power parity: results for fixed and flexible regimes

Recent empirical studies concerning purchasing power parity (PPP), using the concept of cointegraton, have tested the null hypothesis of the absence orthe presence of PPP. The disadvantage of using either of these approaches is that the conclusion is ambiguous when not rejecting the null: the result could be due to either the null hypothesis being true or by the low power of the test and lack of information in the data. Therefore, there is substantial information to be gained by applying both approaches within the same study. This study uses the ordinary DF test with PPP as the alternative hypothesis and a recently suggested test by Kwiatkowski et al. (1992) with PPP as the null. The tests are applied to four major industrial countries real exchange rates, each split into four different samples, including fixed as well as flexible exchange rate regimes. The absence of PPP cannot be rejected while the presence can be rejected.     

The Impact of Institutions and Exchange Rate Volatility on China’s Outward FDI

Over the past decade, China’s outward foreign direct investment (OFDI) has rapidly increased. However, its characteristics are not sufficiently studied. In this article, we explore the host country’s determinants of China’s OFDI, with a focus on institutional quality, exchange rate volatility, and natural resources by performing an econometric analysis for the period 2003–2013 for a sample of 49 countries. Our results reveal that China’s OFDI is invested in countries with relatively poor institutional quality and abundant natural resources. Exchange rate variability has a dampening effect on China’s OFDI and that the appreciation of the Chinese renminbi enhances OFDI flows.     

Optimal stopping under model uncertainty and the regularity of lower Snell envelopes

The analysis of American options in incomplete markets has motivated the development of robust versions of the classical Snell envelopes: The cost of superhedging an American option is characterized by the upper Snell envelope, while the infimum of the arbitrage prices is given by the lower Snell envelope. Lower Snell envelopes also appear in the problem of optimal stopping under model uncertainty. In this paper we focus on the lower Snell envelope. We construct a regular version of this stochastic process. To this end, we apply results due to Dellacherie and Lenglart on the regularization of stochastic processes and 𝒯-Systems.     

Comparisons of stakeholder perceptions of tourism impacts in rural eastern North Carolina

The purpose of this study was to discover if differences in perceptions of tourism's impacts on a rural community existed between four stakeholder groups in eastern North Carolina: residents, entrepreneurs, government officials, and tourists. Data were collected from stakeholders using a mail-back questionnaire, which included nine Likert-style questions inquiring about attitudes and perceptions of tourism development in the community. To discover if differences existed, an ANOVA test was conducted for each question, followed by a Scheffe test to determine which groups were different. The analysis indicated that there were differences in the perception of tourism impacts between stakeholder groups. More specifically, the results of the ANOVA test indicated that there were statistically significant differences between stakeholder groups for seven of the nine questions. Differences were identified between the entrepreneurs and government officials, residents and governmental officials, residents and entrepreneurs, and residents and tourists.     

Price and Profit: Investigating a Conundrum

Corn and soybean prices do not differ significantly among farms participating in the Illinois farm business farm management (FBFM) program from 1996 through 2005. While consistent with the literature, the finding is inconsistent with farmers' opinion of the importance of price. A conundrum exists. However, the study also finds that price and profit per acre are positively related when a given farm is examined over time. Thus, the conundrum can be explained as a difference in perspective: researchers examine variation between price and profit across farms at a point in time while farmers examine this variation within his/her farm over time. Nevertheless, the relationship a farmer observes is likely due to market supply and demand factors, not the farmer's managerial control over the price received.