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The purpose of this paper is to analyze the innovation strategies of the sugar–energy industry in Central-Southern Brazil with regard to its resource structure and results.

The data were collected through a questionnaire covering the three-year period from 2015 through 2017. The results were extracted based on a combination of factor analysis and multiple regression analysis.

The innovation strategies of Brazilian sugar–energy companies are characterized as defensive and imitative based on the resources dedicated to innovation and the implementation of innovation with respect to products, processes, eco-innovation and cost reductions.

The sample is representative, but it does not cover all companies in the Brazilian sugar–energy industry. The data were acquired using a survey, and the results could not be compared to the financial results of the companies.

Sugar–energy companies need to define their innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations. Managers and analysts need to know the profile of these innovation strategies to evaluate the effectiveness of the results based on the resources that were invested.

This study presents an exploratory model that identified two factors related to innovation efforts and three results. It is possible to define the innovation strategies of companies in the Brazilian sugar–energy industry, which is one of the most competitive in Brazil.

There is a great interest in developing eco-friendly operations as alternative uses of resources in the university campus, making the employment of technologies more sustainable. Practices such as energy management and efficiency initiatives have been encouraged to meet these sustainability goals. The purpose of this paper is to describe and discuss the main features of the GENIIOT project, a system of energy management using Internet of Things applied in a Brazilian university campus to support energy education practices and to promote lasting energy efficiency measures. The focus of the study is directed at the energy consumption of the air-conditioning system, which is responsible for 40% of the total electricity consumption. In addition, this project also scrutinizes processes such as the building occupants’ comfort demands, lighting levels and energy waste control.

A case study at the Unicamp campus was conducted to illustrate the design procedures through qualitative description. This study comprises an overview of the physical plant, hardware and software development, energy data monitoring, management process and energy education.

The GENIIOT project enables energy efficiency actions by concerning the use of air-conditioning equipment based on monitored data, different types of monitored rooms, user’s behaviors and their feedback. This initiative requires the engagement, awareness and actions from users combined with investment in energy efficiency to achieve an efficient use of this type of equipment. The proposed approach can be applied in the future to similar situations, inside the Unicamp campus and at other university campuses. In addition, this project can contribute to building efficiency analysis by using the hardware structure developed to monitor facilities and carry out evaluations, providing valuable information for strategic initiatives in energy efficiency projects and research and development programs based on practical experience and promoting a discussion about sustainability aspects in the context of the university campus for energy efficiency.

The GENIIOT project is aligned with some of the sustainable development goals, among which sustainability and responsible consumption are identified. Considering the sustainability issues, the economic dimension can be evaluated through a cost–benefit analysis of energy efficiency projects with prudent investment, while the social attractiveness of the project is ensured by education and awareness practices for the community that interacts with the system and learns about a more efficient way of using resources in the campus. Furthermore, there is a more conscious use of natural resources by minimizing waste from the use of electricity and reducing carbon dioxide emissions. GENIIOT is part of Sustainable Campus Project, a living laboratory which aims at developing energy-efficiency-related research activities in the university campus to reduce costs in higher and federal institutions of education in Brazil.

This study aims to support electricity distribution companies on measuring and predicting customer satisfaction.

The developed methodology selects and applies machine learning techniques such as decision trees, support vector machines and ensemble learning to predict customer satisfaction from service data, power outage data and reliability indices.

The results on the predicted main indicator diverged only by 1.36 per cent of the results obtained by the survey with company customers.

Social, economic and political conjunctures of the regional and national scenario can influence the indicators beyond the input variables considered in this paper.

Currently, the actions taken to increase customer satisfaction are based on the track record of a yearly survey; therefore, the methodology may assist in identifying disturbances on customer satisfaction, enabling decision-making to deal with it in a timely manner.

Development of an intelligent algorithm that can improve its performance with time. Understanding customer satisfaction may improve companies’ performance.

Over the past two decades, there has been an increasing interest on corporate social responsibility by a number of constituencies – corporate managers, research scholars, policymakers and investors. In this context, corporate sustainability performance (CSP) has been a central focus of attention. This paper aims to analyze CSP determinants in Brazil, an important emerging market. Firm CSP is proxied by the membership to the Corporate Sustainability Index (ISE) which comprises environmental, social, economic and governance issues.

Logit panel data models are estimated for a sample of 2,685 firm-year observations in the period of 2006-2015.

Results show that firms operating in environmental risky industries tend to be leading CSP firms in Brazil which might be a positive consequence of the Brazilian environmental legislation that could be forcing such firms to be more committed to environmental issues. High ownership concentration reduces the probability of a firm’s membership to the ISE index signaling that large controlling blockholders may not see sustainability and governance concerns as relevant. Larger Brazilian firms and the ones with more growth opportunities tend to be CSP leaders. Additionally, the financial crisis of 2007-2009 had a negative effect on CSP in Brazil.

The implications of the present findings may be of interest to academics and firms’ stakeholders. The fact that firms from environmental risky industries exhibit higher concerns with CSP, probably because of the Brazilian environmental rules that has advanced in the past decades, show the prominence of policymakers in the critical scenario of environmental issues. When designing regulation, policymakers should be conscious of the importance of social issues and pay attention to all ways available to foster firm sustainability concerns. The additional evidence that dominant shareholders do not appear to see CSP as a relevant concern in Brazil points out an agency conflict in which large blockholders’ interests may be prevailing over other stakeholders’ interests. That is important to academics who study the role played by ownership structure on firm’s policies. Furthermore, larger firms, as well as the ones with more growth opportunities, seem to invest in CSP, possibly for seeing it as a way to generate competitive advantage.

As per the authors’ knowledge this is the first paper to point out the relevance of industry environmental sensitivity over firm’s commitment to sustainability issues in Brazil. Additional evidence is provided on the negative effect of ownership concentration on the probability of firm’s membership to the ISE sustainability index using a longer period as well as robust logit panel data model estimates compared to previous studies. Unlike previous works, the paper analyzes the complexity of a sustainability index in the Brazilian market. Such index comprises corporate social responsibility, sustainability and corporate governance concerns. This set of concerns makes it a complex index and requires a deeper rationale for the determinants of CSP as proxied by the membership to it, under the stakeholder and agency theoretical frameworks.

High ownership concentration makes controlling blockholders powerful enough to use private benefits of control and able to shape the corporate governance system to favor their own interests. This paper aims to examine the effect of the nature of the ultimate firm owner on the quality of corporate governance in Brazil.

Econometric models are estimated to assess whether the nature of the ultimate controlling shareholder affects the quality of the corporate governance system. Models are estimated using panel data methodology with coefficients estimated by the generalized method of moments system estimator.

The results show that the absence of a controlling shareholder has a positive effect on corporate governance, whereas the presence of a controlling blockholder, or a shareholder agreement among a few large shareholders, has a negative effect. This adverse effect holds when the controlling blockholder is a family or another firm. The findings are in line with the expropriation effect given that weaker corporate governance system facilitates controlling shareholders’ ability to extract private benefits of control. The findings also give support to the substitution effect as powerful blockholders take on the management monitoring function by weakening the board.

Following important previous literature, the study investigates the effect of the nature of large controlling shareholders on the adoption of good corporate governance practices. The work provides additional evidence on the effect of the nature of large controlling shareholders on the quality of the corporate governance system in Brazil, taking into account the main kinds of controlling blockholders present in that market. The findings give support to both the expropriation and substitution hypotheses highlighting the presence of the principal-principal agency model in an important emerging market, Brazil.

The purpose of this paper is to highlight the opportunity for the energy policy in Brazil to tackle the very high cost-effectiveness potencial of solar energy to the power system. Three mechanisms to achieve ambitious reductions in the greenhouse gas emissions from the power sector by 2030 and 2040 are assessed wherein treated as solar targets under ambitious reductions in the greenhouse gas emissions from the power sector. Then, three mechanisms to achieve these selected solar targets are suggested.

This paper reviews current and future incentive mechanisms to promote solar energy. An integrated energy system optimization model shows the most cost-efficient deployment level. Incentive mechanisms can promote renewable sources, aiming to tackle climate change and ensuring energy security, while taking advantage of endogenous energy resources potential. Based on a literature review, as well as on the specific characteristics of the Brazilian power system, under restrictions for the expansion of hydroelectricity and ambitious limitation in the emissions of greenhouse gases from the power sector.

The potential unexploited of solar energy is huge but it needs the appropriate incentive mechanism to be deployed. These mechanisms would be more effective if they have a specific technological and temporal focus. The solar energy deployment in large scale is important to the mitigation of climate change.

The value of the research is twofold: estimations of the cost-effective potential of solar technologies, generated from an integrated optimization energy model, fully calibrated for the Brazilian power system, while tacking the increasing electricity demand, the expected reduction of greenhouse gas emissions and the need to increase the access to clean and affordable energy, up to 2040; proposals of three mechanisms to deploy centralized PV, distributed PV and solar thermal power, taking the best experiences in several countries and the recent Brazilian cases.

This study aims to formulate a mechanism design in the derivatives market, summarizing a framework to set up the Brazilian electricity futures market.

This exploratory study formulates a mechanism design in the derivatives market, summarizing a framework to set up the Brazilian electricity futures market.

The results show a positive economic outcome for the creation of the Brazilian futures electricity market.

The main feature in this work is to summarize a framework to set up the Brazilian electricity futures market applying mechanism design, applicable in other countries. The features of the mechanism are the space of expected results (Z), the strategies to survey the environmental space (θ) and the mechanism design – messages space (M).

Access to affordable and sustainable energy is crucial for the improvement of the well-being of modern societies. Most energy technologies require comparatively high up-front investment, which adds to the challenge of electrification, despite the recognized multiple benefits. Partnership with multinational enterprises (MNEs) can provide necessary investment in infrastructure, finance, and technology for renewable energy and contribute to improving development indicators. However, remote areas with poor infrastructure do not have access to MNEs that are profit seekers. The Brazil experience with MNEs and “Light for All” (LfA) program shows that people gaining access to electricity invest more in businesses, education, health, and women reduce their drudgery at household chores. However, areas having a poor infrastructure in the north remain out of electricity, and attempts to create universal access were failed until a regulatory incentive framework and particular attention from the government was established. This is a great learning for the developing countries aiming to achieve sustainable development goals. A host country can gain development cooperation from MNEs with rightly formulated and implemented policies and regulatory conditions.

After assessing papers on efficiency, most of the studies available are focused on the analysis of efficiency measures, without providing a deep discussion of the factors that determine efficiency. This study aims to evaluate the efficiency of Brazilian electricity distribution companies based on a structural model that enables the identification of a network of relationships among representative variables that contribute to efficiency.

Structural equation modeling was applied in a sample of 62 electricity distribution companies operating in Brazil, forming a balanced panel from 2010 to 2014. Then, the authors verified the model compliance according to the empirical evidence of the entities analyzed. This verification included a survey of the variables, which was supported by theoretical references related to the phenomenon studied. The data collected were statistically treated, and benchmarking models and multivariate techniques were used. Once the adjustments were made, the re-specified model was estimated using the maximum likelihood method.

The empirical model reached good adjustment rates. The analysis concluded that the constructs information system, structural system, management system and sociocultural system affect efficiency.

This study adds to several other papers, and this is one of its main contributions. Relationships among the constructs have been systematized according to literature in the form of a structural model, which will enable future researchers to have a reference frame of relevant studies and a research foundation in this area of knowledge. A third contribution is the model tested in a sample of Brazilian electricity distribution companies, whose results can be compared to other utility sectors (e.g. telecommunications) or to other countries' electrical sectors, thus providing an empirical basis for the proposed hypotheses. Finally, this study also offers a contribution to the Brazilian Electrical Energy Agency (Aneel, in Portuguese), a regulatory agency, providing mechanisms to guide tariff adjustments, seeking a balance between costs and the need for investments allied to tariff affordability.

To investigate the extent to which the contracting mechanisms instituted by the 2004 reform, in particular power auctions, have solved the investment hurdles created by the first reform.

The paper analyses the characteristics of Brazilian contracting and the experience so far with power auctions, concerning investments in generation and electricity prices.

Auctions have been moderately successful, in the sense that they have attracted a fair number of bidders and electric companies have increased their value in the stock exchange, while keeping prices moderate. However, a number of other hurdles to investment – in particular clear and feasible criteria for environmental licensing – have to be solved in order to achieve the reform goals.

The format of power auctions is still going through a learning process; also, the experience has been limited so far, which severely hinders the use of quantitative tools. This could be the object of future research, after more data are available. Of particular interest will be the follow‐up of free bilateral contracting, which has grown significantly.

This could be a useful reference for scholars interested in the recent developments in the Brazilian Electricity Supply Industry.

As far as is known, this is the first paper to systematically analyse the performance of power auctions in the Brazilian market. Its value lies in that it allows an objective evaluation of one central point of the 2004 reform.