Search results

The purpose of this paper is to estimate the determinants of per capita expenditures with disaggregate food away from home (FAFH) including variables such as family structure.

The authors estimated a system of expenditure equations (SUR method) with data from the latest Consumer Expenditure Survey of 2008–2009 – (or Pesquisa de Orçamentos Familiares – POF), considering the complex sample design in estimation procedures.

The authors found a positive relationship between woman’s opportunity cost of time and FAFH spending only when the authors considered the effects of wife’s education in higher income class. Hiring domestic help diminishes FAFH spending, mostly for lunch and dinner time meals. The presence of children in the household decreases the consumption of most FAFH categories.

Even though, Brazilian FAFH consumption has been increasing, the presence of women in the labor market seems to play a small role in the determining this type of food consumption. Family structure plays an important role in determining FAFH.

The contribution of the paper is to estimate FAFH expenditures at the disaggregate level and by income class for Brazil. The authors also included alternative family structure specifications as determinants in the model. The authors considered the sample design characteristics in estimation.

(1) A concern often expressed in relation to cryptocurrencies is the environmental impact associated with increasing energy consumption and mining pollution. Controversy remains regarding how environmental attention and public concerns adversely affect cryptocurrency prices. Therefore, the paper aims to introduce the index of cryptocurrency environmental attention (ICEA), which aims to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. (2) The impacts of cryptocurrency environmental attention on long-term macro-financial markets and economic development remain part of undeveloped research fields. Based on these factors, the paper will further examine the effects of the ICEA on financial markets or economic developments.

(1) The paper introduces a new index to capture cryptocurrency environmental attention in terms of the cryptocurrency response to major related events through gathering a large amount of news stories around cryptocurrency environmental concerns – i.e. >778.2 million news items from the LexisNexis News & Business database, which can be considered as Big Data – and analysing that rich dataset using variety of quantitative techniques. (2) The vector error correction model (VECM) and structural VECM (SVECM) [impulse response function (IRF), forecast error variance decomposition (FEVD) and historical decomposition (HD)] are useful for characterising the dynamic relationships between ICEA and aggregate economic activities.

(1) The paper has developed a new measure of attention to sustainability concerns of cryptocurrency markets' growth, ICEA. (2) ICEA has a significantly positive relationship with the UCRY indices, volatility index (VIX), Brent crude oil (BCO) and Bitcoin. (3) ICEA has a significantly negative relationship with the global economic policy uncertainty (GlobalEPU) and global temperature uncertainty (GTU). Moreover, ICEA has a significantly positive relationship with the industrial production (IP) in the short term, whilst having a significantly negative relationship in the long term. (4) The HD of the ICEA displays higher linkages between environmental attention, Bitcoin and UCRY indices around key events that significantly change the prices of digital assets.

The ICEA is significant in the analysis of whether cryptocurrency markets are sustainable regarding energy consumption requirements and negative contributions to climate change. Understanding of the broader impacts of cryptocurrency environmental concerns on cryptocurrency market volatility, uncertainty and environmental sustainability should be considered and developed. Moreover, the paper aims to point out future research and policy legislation directions. Notably, the paper poses the question of how cryptocurrency can be made more sustainable and environmentally friendly and how governments' cryptocurrency policies can address the cryptocurrency markets.

(1) The paper develops a cryptocurrency environmental attention index based on news coverage that captures the extent to which environmental sustainability concerns are discussed in conjunction with cryptocurrencies. (2) The paper empirically investigates the impacts of cryptocurrency environmental attention on other financial or economic variables [cryptocurrency uncertainty (UCRY) indices, Bitcoin, VIX, GlobalEPU, BCO, GTU index and the Organisation for Economic Co-operation and Development IP index]. (3) The paper provides insights into making the most effective use of online databases in the development of new indices for financial research.

Whilst blockchain technology has a number of useful implications and has great potential to transform several industries, issues of high-energy consumption and CO2 pollution regarding cryptocurrency have become some of the main areas of criticism, raising questions about the sustainability of cryptocurrencies. These results are essential for both policy-makers and for academics, since the results highlight an urgent need for research addressing the key issues, such as the growth of carbon produced in the creation of this new digital currency. The results also are important for investors concerned with the ethical implications and environmental impacts of their investment choices.

(1) The paper provides an efficient new proxy for cryptocurrency and robust empirical evidence for future research concerning the impact of environmental issues on cryptocurrency markets. (2) The study successfully links cryptocurrency environmental attention to the financial markets, economic developments and other volatility and uncertainty measures, which has certain novel implications for the cryptocurrency literature. (3) The empirical findings of the paper offer useful and up-to-date insights for investors, guiding policy-makers, regulators and media, enabling the ICEA to evolve into a barometer in the cryptocurrency era and play a role in, for example, environmental policy development and investment portfolio optimisation.

The inverse problem in the eddy current (EC) imaging of metallic parts is an ill‐posed problem. The purpose of the paper is to compare the performances of regularized algorithms to estimate the 3D geometry of a surface breaking defect.

The forward problem is solved using a mesh‐free semi‐analytical model, the distributed point source method, which allows EC data to be simulated according to the shape of the considered defect. The inverse problem is solved using two regularization methods, namely the Tikhonov (l2) and the 3D total variation (tv) methods, implemented with first‐ and second‐order algorithms. The inversion performances were evaluated in terms of both mean square error (MSE) and computation time, while considering additive white and colored noise, respectively, standing for acquisition errors and model errors.

In presence of colored noise, the authors found out that first‐ and second‐order methods provide approximately the same result according to the SEs obtained while estimating the defect voxels. Nevertheless, in comparison with (l2), the (tv) regularization was proved to decrease the MSE by 10 voxels, at the cost of less than twice the computational effort.

In this paper, an easy to implement mesh‐free model, based on virtual defect current sources, was used to generated EC data relative to a defect positioned at the surface of a metallic part. A 3D total variation regularization approach was used in combination with the proposed model, which appears to be well suited to the reconstruction of volumic defects.

Most of the existing literature on online social networks (OSNs) either focuses on community detection in graphs without considering the topic of the messages exchanged, or concentrates exclusively on the messages without taking into account the social links. The purpose of this paper is to characterise the semantic cohesion of such groups through the introduction of new measures.

A theoretical model for social links and salient topics on Twitter is proposed. Also, measures to evaluate the topical cohesiveness of a group are introduced. Inspired from precision and recall, the proposed measures, called expertise and representativeness, assess how a set of groups match the topic distribution. An adapted measure is also introduced when a topic similarity can be computed. Finally, a topic relevance measure is defined, similar to tf.idf (term-frequency, inverse document frequency).

The measures yield interesting results, notably on a large tweet corpus: the metrics accurately describe the topics discussed in the tweets and enable to identify topic-focused groups. Combined with topological measures, they provide a global and concise view of the detected groups.

Many algorithms, applied on OSN, detect communities which often lack of meaning and internal semantic cohesion. This paper is among the first to quantify this aspect, and more precisely the topical cohesion and topical relevance of a group. Moreover, the proposed indicators can be exploited for social media monitoring, to investigate the impact of a group of people: for instance, they could be used for journalism, marketing and security purposes.

This study aims to identify the price determinants of fine wines in a small and competitive market. These characteristics are found in many lesser-known wine-producing countries and are often difficult to analyse because of lack of data.

This study hand-collects and transcribes wine-related data for 149 Swiss wineries and 2,454 individual wines over the period 2014–2018 directly from wine lists provided by wineries. This study uses multivariate ordinary least squares regressions to analyse the relation between wine attributes and prices and to assess the effect of a currency shock caused by the sudden appreciation of the Swiss franc in 2015 as well as a reduction in information asymmetries induced by the novel coverage of Swiss wines by The Wine Advocate.

Prices mainly depend on collective reputation, production techniques and product positioning. Surprisingly, following a sharp appreciation of the Swiss franc, producers did not reduce prices. The arrival of a highly influential wine expert on the market also had a positive price effect on rated wines and producers. Both hint at wineries attempting to position themselves relative to competitors.

Few studies examine the price drivers in lesser-known wine markets, where competition is fierce. This study’s results show that wine pricing differs from other more famous and larger wine regions. In addition, to the best of the authors’ knowledge, this study is also the first to analyse the impact of a currency shock and a reduction in information asymmetries on wine prices.

HARROGATE will be notable as the venue of the Conference in one or two ways that distinctive. The Association Year is now to begin on January 1st and not in September as heretofore; and, in consequence, there will be no election of president or of new council until the end of the year. The Association's annual election is to take place in November, and the advantages of this arrangement must be apparent to everyone who considers the matter. Until now the nominations have been sent out at a time when members have been scattered to all parts of the country on holiday, and committees of the Council have been elected often without the full consideration that could be given in the more suitable winter time. In the circumstances, at Harrogate the Chair will still be occupied by Sir Henry Miers, who has won from all librarians and those interested in libraries a fuller measure of admiration, if that were possible, than he possessed before he undertook the presidency. There will be no presidential address in the ordinary sense, although Sir Henry Miers will make a speech in the nature of an address from the Chair at one of the meetings. What is usually understood by the presidential address will be an inaugural address which it is hoped will be given by Lord Irwin. The new arrangement must bring about a new state of affairs in regard to the inaugural addresses. We take it that in future there will be what will be called a presidential address at the Annual Meeting nine months after the President takes office. He will certainly then be in the position to review the facts of his year with some knowledge of events; he may chronicle as well as prophesy.

This study aims to identify the economic impact of a potential implementation of a Climatic Reserve for the Swiss predominant white grape variety (Chasselas) vinified in the AOC (controlled designation of origin) category. The Climatic Reserve would imply the possibility of harvesting an additional quantity of grapes whose commercialization in wine would be delayed until it is approved by the relevant authority.

The impact of a potential implementation of this wine supply management tool is simulated through an innovative method that combines the vector autoregressive (VAR) model to estimate the influence of the previous consumptions and productions on the current consumption and linear regression [ordinary least square (OLS) method] to estimate the price elasticity to measure the evolution of the price depending on the simulated consumption. The VAR model is based on state-level data about production, stocks, and consumption (all the channels of distribution combined), while the OLS regression for estimating price elasticity uses the retail market data (Nielsen Panel). With the sales and price variables on a monthly frequency design, the latter represents about 40% of the wine market in Switzerland.

According to simulations carried out at the level of a region from the canton of Vaud in Switzerland (2000–2018), the increase in turnover linked to the release of the Climatic Reserve would be +3.1% for the indigenous white grape variety Chasselas.

The Climatic Reserve is a wine supply management tool that could complement the existing yield restriction, which does not significantly influence the quantities sold, according to previous studies. Our paper contributes to the literature by demonstrating the economic advantage of this supply management tool to deal with the increasingly frequent climatic hazards in wine production and market. The methodology could be applied to other wine regions (contexts) or other agricultural sectors.

A fully integrated sensor microsystem for blue/ultraviolet radiation detection is presented. The photosensitive part combines a blue/UV selective stripe‐shaped photodiode with a small compensation infrared photodiode. A transimpedance amplifier with 1 GΩ feedback resistor is integrated on the same silicon chip. The main features of the op amp are a low offset (<0.5mV) and fail‐safe operation. This sensor has a maximal responsivity of 150 mV/nW at λ = 420 nm, corresponding to 43 percent quantum efficiency. A ratio of the responsivities at 420 nm and 1 μm as large as 560 is achieved. The system has a noise equivalent power of 5 10^‐13 W. The 2.2 mm² microsystem is realized in a standard CMOS 0.5 μm process.

The purpose of this study is to explore the link between aggregate production efficiency and the extent of linguistic clustering in Indonesia.

The author draws on the stochastic frontier model and applies it to the data on Indonesian provinces to compute the effects of various determinants on these provinces' aggregate production efficiency. The key determinant is the spatial index of linguistic clustering that the author believes has never been applied before in this context.

Linguistic clustering is an important determinant of aggregate production efficiency. Linguistic diversity is positively associated with productive efficiency if members of a specific linguistic group are not clustered beyond a certain level.

To the best of the author’s knowledge, this is the first study that links the spatial index of linguistic clustering (because of Massey and Danton) to production efficiency. In other words, the contribution of this study is to introduce a geographical dimension to the mainstream analysis of the association between ethnic diversity and economic performance.

OF old the public library was wont to take its reputation from the character of the newsroom. That room, as everyone knows, attracts every element in the community and it may be it attracts especially the poorer elements;—even at times undesirable ones. These people in some towns, but perhaps not so often now‐a‐days, have been unwashen and often not very attractive in appearance. It was natural, things being as they are, that the room should give a certain tone to the institution, and indeed on occasion cause it to be avoided by those who thought themselves to be superior. The whole level of living has altered, and we think has been raised, since the War. There is poverty and depression in parts of the country, it is true; but there are relief measures now which did not exist before the War. Only those who remember the grinding poverty of the unemployed in the days, especially the winter days, before the War can realise what poverty really means at its worst. This democratic levelling up applies, of course, to the public library as much as to any institution. At present it may be said that the part of the library which is most apparent to the public and by which it is usually judged, is the lending or home‐reading department. It therefore needs no apology if from time to time we give special attention to this department. Even in the great cities, which have always concentrated their chief attention upon their reference library, to‐day there is an attempt to supply a lending library service of adequate character. We recall, for example, that the Leeds Public Library of old was first and foremost a reference library, with a lending library attached; to‐day the lending library is one of the busiest in the kingdom. A similar judgment can be passed upon Sheffield, where quite deliberately the city librarian would restrict the reference library to works that are of real reference character, and would develop more fully the lending library. In Manchester, too, the new “Reference Library”—properly the new Central Library—has a lending library which issues about 1,500 volumes daily. There must be all over the country many libraries issuing up to a thousand volumes each a day from their central lending departments. This being the case the department comes in for very careful scrutiny.