Extending the SAM with Social and Environmental Indicators: An Application to Bolivia

Extending economic accounts with sets of social and environmental indicators is a first step towards a more integrated analysis of aspects of sustainability problems. In this article, therefore, a proposal is made to nest social and environmental indicators into an existing economic accounting framework. The Social Accounting Matrix (SAM) is taken as a basis, because of its flexibility regarding extensions with non-monetary data addressing social and environmental concerns. The main thrust of the paper is methodological. From the discussion of methodological issues and the application to the SAM for Bolivia for the year 1989, it is concluded that it is, in principle, feasible and relatively simple to extend the SAM with the two sets of indicators. However, additional data will have to be collected to be able to address, more adequately, the problems of sustainability.     

Windfall Profits Under Pollution Permits and Output-Based Allocation

This paper analyzes the implementation of pollution permits. It focuses on the distributional impacts linked with the stringency of output-based allocation when two sectors are covered by the market for permits and the total cap is held constant. A new type of profit increase in sectors that are not exposed to international competition, when energy-intensive trade-exposed (EITE) sectors are granted output-based allocations, is demonstrated theoretically. The paper also illustrates a profit increase in the electricity sector in a possible fourth phase of the European Union Emission Trading Scheme, in which output-based allocation will be granted to EITE sectors, compared with the case in which all permits are auctioned.     

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

We propose a computationally efficient and statistically principled method for kernel smoothing of point pattern data on a linear network. The point locations, and the network itself, are convolved with a two‐dimensional kernel and then combined into an intensity function on the network. This can be computed rapidly using the fast Fourier transform, even on large networks and for large bandwidths, and is robust against errors in network geometry. The estimator is consistent, and its statistical efficiency is only slightly suboptimal. We discuss bias, variance, asymptotics, bandwidth selection, variance estimation, relative risk estimation and adaptive smoothing. The methods are used to analyse spatially varying frequency of traffic accidents in Western Australia and the relative risk of different types of traffic accidents in Medellín, Colombia.     

Advertising in streaming video: An integrative literature review and research agenda

Streaming video (SV), such as YouTube, is a new media widely used nowadays. Nevertheless, there is a lack of knowledge about advertising in SV. In view of this, through a search in the rich depository of the Scopus database, this article presents the first integrative literature review about advertising in SV. Searching every article and conference paper related to the topic published until May 04, 2020, 59 studies were found and classified into two main topics: marketing studies (35), mostly focused on evaluating or exploring advertising in SV, and computational studies (24), focusing on the development of systems for the insertion of ads into SV. All knowledge present in these studies was summarized so that readers (both scholars and practitioners) could have easy access to the main contributions and information present in each study. Moreover, future research directions in six main themes are presented through a research agenda.     

Political budget cycles and voting within a federal country: The influence of political alignment

We study how distributive politics affects political budget cycles and voting within a federal country. Our model predicts not only that the president favors politically aligned governors with larger transfers, but also that voters favor gubernatorial candidates aligned with the expected presidential incumbent because larger transfers are expected in the future. These predictions are upheld by the data from Argentinean provinces during the 1984–2014 period. Our findings imply that political alignment can trump the selection effect of voting the most competent candidate. This can help explain in particular coattail effects when gubernatorial and presidential elections are concurrent.     

Generational Accounting in Portugal

The social and economic developments in European countries have put pressure on their national budgets and threaten the sustainability of public policies. The traditional fiscal indicators, specifically, the deficit and the debt, which are still used today as guiding tools, have proved to be insufficient, due to their arbitrary nature and short-term focus. In this paper, we resort to an alternative fiscal indicator, known as ‘generational accounting’, which is able to incorporate the future changes in the demographic structure of the population, and their corresponding impact on public accounts. It is also able to evaluate how current fiscal policy affects, not only, current generations, but also future generations. We apply this methodology to assess the long-term fiscal situation of Portugal, and compare the results with those obtained in 1999. In this context, we also explore additional scenarios, as well as additional indicators, in order to provide some robustness to our findings. Our results show that, if the current fiscal policy is not significantly changed, future generations will face a much heavier fiscal burden than current generations.

     

Strategic analysis of providing corporate sustainability open data

How companies report their data is undergoing digitization and sustainable transformation. Sustainability is important; therefore, various stakeholders are interested in sustainability information. Companies provide the required information and strive toward the use of information systems to ensure efficient data processing. A possible approach for information provision is open data. This research introduces the idea of corporate sustainability open data (CSOD) as one new mechanism of companies' sustainability self-reporting. Since CSOD is not yet commonly practiced by companies, a strategic analysis of the situation and its possible consequences is conducted with an analysis of strengths, weaknesses, opportunities, and threats. This research provides an overview of companies' sustainable development through open data. Moreover, it identifies drivers, challenges, and reasonable strategies for CSOD adoption. Thus, the research contributes to the establishment of an innovative application of open data in the private sector to support sustainable transformation worldwide.     

A QUARTERLY MODEL FOR THE EEC BEEF SECTOR

The aim of the paper is to forecast the behaviour of the EEC-9 beef and veal sector-particularly exports-starting from a quarterly econometric model explaining past developments of the principal macro-economic variables from 1976 to 1982 inclusive. Attention is focused on production as its evolution has been and is considered to continue to be the most important factor influencing the development of the EEC-9 external trade of beef and veal. The paper presents firstly a theoretical approach as a basis for formulating the econometric model. Then, the parameters of the structural model are estimated for forecasting purposes; conclusions follow.