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The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

In this chapter, we investigate the role of the Internet of Things (IoT) for a more sustainable future. The IoT is an umbrella term that refers to an interrelated network of devices connected to the internet. It also encompasses the technology that enables communication between these devices as well as between the devices and the cloud. The emergence of low-cost microprocessors, sensors and actuators, as well as access to high bandwidth internet connectivity, has led to the massive adoption of IoT systems in everyday life. IoT systems include connected vehicles, connected homes, smart cities, smart buildings, precision agriculture, among others. During the last decade, they have been impacting human activities in an unprecedented way. In essence, IoT technology contributes to the improvement of citizens' quality of life and companies' competitiveness. In doing so, IoT is also contributing to achieve the Sustainable Development Goals (SDGs) that were adopted by the United Nations in 2015 as an urgent call to action by all countries to eradicate poverty, tackle climate change and ensure that no one is left behind by 2030. The World Economic Forum (WEF) recognises that IoT is undeniably one of the major facilitators for responsible digital transformation, and one of its reports revealed that 84% of IoT deployments are presently addressing, or can potentially address the SDGs. IoT is closely interlinked with other emerging technologies such as Artificial Intelligence (AI) and Cloud Computing, for the delivery of enhanced and value-added services. In recent years, there has been a push from the IoT research and industry community together with international stakeholders, for supporting the deployment and adoption of IoT and AI technologies to overcome some of the major challenges facing mankind in terms of protecting the environment, fostering sustainable development, improving safety and enhancing the agriculture supply chain, among others.

This article explores the use of informal socio-cultural practices to mitigate formal institutional voids in a qualitative study of informal self-employment in Bulawayo in Zimbabwe. Informal socio-cultural values and practices such as ubuntu and indaba were observed to be making meaningful contribution to business and lives. Development of formal institutions as a consequence was not observed though. The article proposes that economic development efforts might best serve communities in sub-Saharan Africa by facilitating institutional development that converges with local socio-culturally informed practices rather than focus on attempts to absorb informal work into a homogenously understood formal institutional system.

Changes and transformations experienced today have created alternative lifestyles in cities. Many life concepts try to find solutions to environmental problems, so much so that this section focuses on smart eco-city concept, which is one of the trending city initiatives of the last century and is expected to become more popular each day. In the chapter, firstly, information about the concepts of eco-city and smart city is given and then what is meant by the concept of smart eco-city is discussed. Next, smart eco-cities have been tried to be explained with application examples. Finally, the chapter emphasizes the importance of ecological cities blended with technology for the sustainability of living spaces and offers implications for future research.

In recent years, international bodies and public opinion have recommended that governments adopt social responsibility practices to inform and be accountable to citizens about their sustainability actions in environmental, social and economic fields (Galera et al., 2014) and restore citizens' confidence in public authorities (Crane et al., 2008; Shepherd et al., 2010). This chapter reviews the literature on measuring and reporting sustainable performance in the public sector. Analyzing 35 studies published in a period of 10 years (from 2012 to 2021), we address two specific research questions: How and to what extent have public organizations changed to integrate sustainability reporting (SR) systems? What are the enabling organizational factors in adopting SR in public organizations?

This study aims to investigate the association between Corporate Social Responsibility (CSR) and tax avoidance, as well as the effect of earnings performance on this link. We suggest a negative association between CSR and tax avoidance based on the Stakeholder Theory. We also suggest that earnings performance moderates this relationship. Based on a sample of 25 Tunisian firms during the years 2012–2017, data were gathered via annual reports of the companies, and a survey-questionnaire was used to gather CSR information. The research design uses ordinary least squares (OLS) regression to investigate the association between CSR and tax. In addition, the analysis is performed using panel data to account for heterogeneity at the individual level and over time. Using this research design, the study provides a comprehensive examination of the effect of CSR on tax avoidance among Tunisian companies over a 6-year period. According to our findings, companies that participate in CSR initiatives show less tax avoidance than those that do not. Moreover, in line with the Slack Resource Theory, for businesses with higher earnings, the negative link between CSR and tax avoidance is stronger. Our research demonstrates that businesses may utilize CSR to improve their standing in the community and lower the likelihood of tax avoidance. These results suggest that profitable firms may have more funds available to spend on CSR initiatives and, as a result, are more motivated to maintain a positive reputation by refraining from tax avoidance strategies.

This chapter examines the potential of solar energy for the development of sustainable tourism in Croatia. Tourism is an important economic activity in the Croatian economy due to the mild climate and many sunny days. Solar energy photovoltaic and thermal systems can help to support sustainable tourism, as well as increase employment and cooperation between local and national governments. This study compares best practices in solar energy for the Mediterranean countries of Italy, Spain, Cyprus, and Greece. The Mediterranean Basin is a strategic development area for the European Union, and solar energy will help to maintain its stability and high-quality standards of living.

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems found in our environment. Water contamination is mostly related to both diffused (agricultural lands and geologic rock degradations) and point sources of pollution. Mauritius has many water resources which depend solely on precipitation for their replenishment. Water parameters which are of relevance include total dissolved solids (TDS), temperature, pH, electrical conductivity, turbidity, dissolved oxygen, dissolved and particulate organic carbon and major cations and anions. The traditional methods of analysis for these parameters are mostly using electrical and optical methods (probes and sensors in the field), while chemical titrations, Flame AAS and High-Performance Liquid Chromatography techniques are carried out in the laboratory. Image Classification techniques using neural networks can also be used to detect the presence of contaminants in water. In addition to basic water quality parameters, the field sensors range have been extended to cover important major ions and can now be integrated with Artificial Intelligence (AI)-based models for the prediction of variations in water quality to better protect human health and the environment, reduce operation costs of water and wastewater treatment plant unit processes.

The hotel sector in South Africa is also aware of the detrimental impact of its activities on the environment. As a result, it has taken steps to mitigate such effects, evidenced by implementing green hotel practices. ‘Green hotels’ refers to lodging establishments that try to consume less energy, water and materials while still offering high-quality services. Unfortunately, although the hotel sector contributes significantly to employment and economic growth globally, its activities harm the environment through pollution, overuse of natural resources and solid and liquid waste.

This chapter discusses the concepts of green hotels and green practices. This chapter also highlights the need for green practices and identifies a case study on green hotels and practices in a South African context. This chapter found that the green hotel sector implements green practices, such as water-saving practices due to the risk of water insecurity, the growing demand for sustainability and the necessity to boost revenues. Green hotels and practices are a step to actualise the objectives of Sustainable Development Goals (SDGs) 12 and 13, which focus on clean water and sanitation and climate change, respectively. The study underscores the importance of green practices and how South Africa responds to the challenge. It is believed that hotels contribute significantly to environmental degradation, but they can also help to preserve the environment through their activities through green practices. Strategies like adopting green practices would be a remedy to mitigate pollution and its effects on environmental sustainability.