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The aim of this paper is to explore the relationship between energy use, economic growth, and environmental pollution in Turkey for the period from 1968 to 2016 by using ARDL bounds test approach. Test findings show that an increase in economic growth and trade openness cause environmental degradation in all models. Although the energy consumption coefficient is positive in all models, it is statistically significant only in the model where the ecological footprint indicator is the dependent variable. Thus, while determining a positive relationship between environmental pollution and economic growth in Turkey, also it can be said that the energy consumption increases ecological footprint. The findings indicate that there is a need to consider not only pollution emissions but also the ecological footprint for environmental degradation. These results raise a number of policy recommendations for Turkey. The existence of an inverted-U shaped relationship between environmental degradation and economic growth actually demonstrate the successful long run sustainable growth in Turkey.

This chapter uses data on Intended Nationally Determined Contributions (INDCs) to examine the nature of climate change mitigation and adaptation actions being pursued in African countries and assesses the extent to which preferred mitigation and adaptation priorities advance the cause of sustainable development on the continent. The prospective synergies between mitigation and adaptation approaches and sustainable development are assessed. Also, the pathways through which resource constraints and institutional and policy environment affect Africa’s ability to mitigate and adapt to climate change are examined, as well as the degree to which these constraints are being addressed. It is argued that Africa’s ability to benefit from sustainable development synergies embedded in the mitigation and adaptation strategies in the INDCs will be greatly limited by institutional and policy environment that hinders funding, capacity building, and technological innovation systems development. The slow pace of efforts to address these impediments further erodes confidence that climate adaptation in Africa will be effective at sufficiently contributing to a reduction in climate change risks to the continent.

Abstract The transportation sector is one of the main contributors to global greenhouse gas (GHG) emissions. As the efforts towards emission mitigation increase, the expectation from the sector arises equally. In this analysis, the transportation sector of Turkey is studied to shed light on the future based on historical realizations. In this respect, the Logarithmic Mean Divisia Index (LMDI) method is used to assess and reveal the influential factors on CO2 emissions in the sector between 2000 and 2017. The emission intensity of the sector and fuel switching shows promising trends from 2000 through 2010, whereas growing preference for SUVs challenges emission reductions between 2010 and 2017. The results indicate that i) The transportation sector CO2 emissions are mainly driven upwards by economic growth, followed by population and emission intensity effects from 2000 to 2017 ii) The overall impact of transportation intensity shows significant reduction potential iii) Fuel switching incentives and fleet efficiency have a positive effect on emission mitigation from 2000 through 2010. However, this gain is reduced due to the rising popularity of SUVs in the rest of the analysis period. In this respect, CO2 emission mitigation in the transportation sector necessitates 1) careful planning of demand management for freight transportation including master designs production/manufacturing sites, material flows, and demand points coupled with economic activities 2) passenger transportation measures to reduce passenger car travel including zoning for public transit corridors, improved public transportation system 3) well-structured incentives on energy-efficient cars and clean energy technologies such as electric vehicles to convince individuals. Analysis can be generalized on a global scale due to the similar dynamics inherent in the sector.

Previous studies show that individuals’ energy consumption tends to outweigh the technical efficiency gains. Occupancy behavior accounts for about 30% of the variance in overall heating consumption and 50% in cooling consumption. In addition, overall energy savings of 10%–20% due to simple behavioral adjustments are a reasonable expectation. Unfortunately, few studies have focused on the specific cases of behavior in low-income houses, where unique individual energy behavior, demographic, and socio-economic factors come into play. This article investigates energy-related occupancy behavior in low-income families through real-time power, indoor environment, and occupancy presence measurement. Four residential houses with different building envelope materials are used as test-beds. Occupancy behavior includes thermostat schedules, occupancy presence, and major appliance usages. A simulation study is further conducted to show the energy impact of occupancy behavior.

AbstractIncreasing resource scarcity and what has been called “the end of cheap nature” are prompting policymakers and scholars to foster more circular economies to reduce waste and lengthen the lifespan of material goods. Our essay critically examines the political and economic relationships between urban and rural geographies in the context of secondhand economies. Practices of bartering, swapping, selling, and repairing used goods have long been important to rural people and places, but the increasing commodification of discards risks upending rural livelihoods and ways of being as goods move toward urban centers. We explore the relationship between rural and urban reuse economies and suggest how future scholars of rural North America might contribute to strengthening and supporting localized reuse practices.

Abstract This study estimated the economic value of agricultural climate services for strengthening the resilience of smallholder farmers to climate variability and risks in Ethiopia. Using a choice experiment approach, the study introduced a hypothetical package of improved climate services to 600 randomly selected smallholder farmers in three districts across three different agro-ecological zones in the Oromia Regional State. A generalized multinomial logit (G-MNL) model was used to estimate preferred attributes of climate services and willingness-to-pay (WTP) values. The results show that the preferred bundle of improved climate services among smallholder farmers was one that could be communicated in short text message system, provided along with credit facility, and market information and one that favors participatory decision making by smallholders. The results further reveal that the WTP value exhibited high implicit price for participatory decision-making. The study sheds light on important characteristics of agricultural climate services that may improve their acceptability and usability among smallholders. It also highlights the importance of packaging additional services including digital and ICT-based solutions, financial and market information along with climate services to promote demand-driven last mile delivery systems. Engaging smallholder farmers in a participatory manner in the decision-making process can help them make informed decision.

Farmland is the most basic material condition for guaranteeing rural livelihoods and national food security, and exploring management strategies that take both stable rural livelihoods and sustainable farmland use into account has vital significance in theory and practice. Farmland is a complex and self-adaptive system that couples human and natural systems, and natural and social factors that are related to its changing process need to be considered when modeling farmland changing processes. This paper uses Qianjingou Town in the Inner Mongolian farming–pastoral zone as a study area. From the perspective of the relationship between household livelihood and farmland use, this study establishes the process mechanism of farmland use change based on questionnaire data, and constructs a multi-agent simulation model of farmland use change using the Eclipse and Repast toolbox. Through simulating the relationship between natural factors (including geographical location) and household behavior, this paper systematically simulates household farmland abandonment and rent behaviors, and accurately describes the dynamic interactions between household livelihoods and the factors related to farmland use change. These factors include natural factors (net primary productivity, road accessibility, slope and relief amplitude) and social factors (household family structures, economic development and government policies). Ultimately, this study scientifically predicts the future farmland use change trend in the next 30 years. The simulation results show that the number of abandoned and sublet farmland plots has a gradually increasing trend, and the number of non-farming households and pure-outworking households has a remarkable increasing trend, whereas the number of part-farming households and pure-farming households has a decreasing trend. Household livelihood sustainability in the study area is confronted with increasing pressure, and household non-farm employment has an increasing trend, while regional appropriate-scale agricultural management is maintained. The research results establish the theoretical foundation and a basic method for developing sustainable farmland use management that can meet the willingness of households and guarantee grain and ecological security.

In the early 21st century, societies and their governments around the world have been meeting unprecedented challenges, many of which surpass the capacities, capabilities, and reaches of their traditional institutions and their classical processes of governing. Among these challenges are the need for an accelerated transition of the global economy from its current fossil fuel basis to renewable energies, the so-called post-carbon era also known as the third industrial revolution, the containment and reduction of government spending and debt financing, the increasing rapidity of market changes, and the expanding lag of timely interventions via traditional lawmaking and government action. While upholding the proven principles of Western democracy, democratic self-governance in 21st century market economies apparently needs to develop new institutional formats and novel mechanisms for staying abreast with the systemic dynamics of a tightly interconnected global society. We claim that actionable and omnipresent information along with its underlying technologies are substantial prerequisites and backbones for developing models of smart (democratic) governance, which foster smart, open, and agile governmental institutions as well as stakeholder participation and collaboration on all levels and in all branches of the governing process. We present and discuss an agenda for research and practice, which advances the concept of smart, open, and participatory government of the 21st century.