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This study evaluates and compares the trends in CO2 emissions for the manufacturing industries of three countries: two developed countries (Germany and Sweden) that have applied several measures to promote a shift towards a low-carbon economy and one developing country (Colombia) that has shown substantial improvements in the reduction of CO2 emissions. This analysis is conducted using panel data cointegration techniques to infer causality between CO2 emissions, production factors and energy sources. The results indicate a trend of producing more output with less pollution. The trends for these countries’ CO2 emissions depend on investment levels, energy sources and economic factors. Furthermore, the trends in CO2 emissions indicate that there are emission level differences between the two developed countries and the developing country. Moreover, the study confirms that it is possible to achieve economic growth and sustainable development while reducing greenhouse gas emissions, as Germany and Sweden demonstrate. In the case of Colombia, it is important to encourage a reduction in CO2 emissions through policies that combine technical and economic instruments and incentivise the application of new technologies that promote clean and environmentally friendly processes.

Using survey information of 150 randomly selected households across 21 villages of the forest-rich district of Swat, Pakistan, this study assessed households’ decision-making behaviors in depending on income from nearby forested land using socio-economic attributes. The evidence from the study may aid in making the existing policies be better targeted toward families that depend on the forest for income. Descriptive statistics and econometric techniques such as logit and tobit were used to analyze the data. Respondent households obtained the highest share of their income from off-farm activities (37%) and least from forest activities (16%). Fuelwood constitutes the biggest share (66%) of forest income, followed by medical plants (20%) and fodder (13%). We found that households with more physical assets, more family members working in off-farm jobs, and households earning more income from off-farm jobs were significantly and negatively associated with households’ decision to depend on forest income and total income obtained. We also found that households with less distance to the market and membership to joint forest management committees (JFMCs) were significantly and negatively associated with households’ total income obtained. However, household size was significantly and positively related to households’ decision of forest dependency. The study recommends the creation of off-farm opportunities and inclusion of local people in the management of forests through establishment of JFMCs, particularly for large and poor families.

Electric mobility is beginning to enter East African cities. This paper aims to investigate what policy-level solutions and stakeholder constellations are established in the context of electric mobility (e-mobility) in Dar es Salaam, Kigali, Kisumu and Nairobi and in which ways they attempt to tackle the implementation of electric mobility solutions. The study employs two key methods including content analysis of policy and programmatic documents and interviews based on a purposive sampling approach with stakeholders involved in mobility transitions. The study findings point out that in spite of the growing number of policies (specifically in Rwanda and Kenya) and on-the-ground developments, a set of financial and technical barriers persists. These include high upfront investment costs in vehicles and infrastructure, as well as perceived lack of competitiveness with fossil fuel vehicles that constrain the uptake of e-mobility initiatives. The study further indicates that transport operators and their representative associations are less recognized as major players in the transition, far behind new e-mobility players (start-ups) and public authorities. This study concludes by identifying current gaps that need to be tackled by policymakers and stakeholders in order to implement inclusive electric mobility in East African cities, considering modalities that include transport providers and address their financial constraints.

Nature-based solutions have not been able to actively involve citizens and to address successfully food security, poverty alleviation, and inequality in urban areas. The Edible City approach promises a strategic step towards the development of sustainable, livable, and healthy cities. We introduce the conceptional framework of Edible City Solutions (ECS), including different forms of urban farming combined with closed loop systems for sustainable water, nutrient, and waste management. We review scientific evidence on ECS benefits for urban regeneration and describe the status quo of ECS in Rotterdam, Andernach, Oslo, Heidelberg, and Havana as case studies. We provide an analysis of strengths, weaknesses, opportunities, and threats (SWOT) to explore the capacity of ECS to enhance multifunctionality of urban landscapes with special focus on social cohesion and quality of life. Based on this we identify and discuss strategies for fostering socially relevant implementations for the case study cities and beyond.

Abstract Improved access to energy in sub-Saharan Africa (SSA) has the potential to alleviate poverty, promote industrialisation, facilitate gender equality and reduce the region's vulnerability to climate change. Consequently, the current low rates of electrification in many SSA countries has been identified as the most pressing obstacle to economic growth, more important than access to finance, red tape or corruption. Despite the presence of numerous initiatives for promoting energy access in Africa, and the Sustainable Development Goals (SDGs) calling for universal access to energy by 2030, Africa might still not be able to achieve universal energy access by 2030. Through an analysis of case studies, research articles, policy briefs and project reports this paper sought to investigate the policies, strategies and innovations that could help expedite SSA's progress towards universal energy access before 2030. This investigation revealed that an emphasis on rural electrification and linking energy access to agriculture and irrigation development as the case was in Viet Nam, could successfully diversify African economies and mitigate the negative perceptions about Africa's growth prospects and energy sectors that global economic shocks instigate. Additionally, the operations of Power Africa, the Sustainable Energy for All (SE4All) Initiative and the China South-South Climate Cooperation Fund can either significantly improve the financing and regulatory frameworks for SSA's energy sectors or constrain economic development in SSA by promoting rent-seeking and corruption which culminates into a ‘climate finance curse’. Consequently, these initiatives can only facilitate inclusive growth as envisioned in the SDGs if SSA develops or strengthens institutions to coordinate and harmonise investments and aid from such autonomous diverse sources.

Abstract Eco-efficiency is an instrument for sustainability analysis, indicating how efficient the economic activity is with regard to nature's goods and services. This paper conducts an eco-efficiency analysis for regional industrial systems in China by developing data envelopment analysis (DEA) based models. Using real data of 30 provinces in China, an empirical study is employed to illustrate the pattern of regional industrial systems' eco-efficiency. The results indicate that Tianjing, Shanghai, Guangdong, Beijing, Hainan and Qinghai are relatively eco-efficient. The results also show that, provinces with higher level GDP per capita will have higher eco-efficiency relatively with an exception of Hainan and Qinghai. The study provides deeper insights into the causes of eco-inefficiency, and gives further implications on environmental protection strategies in China. In the article, we also discuss the advantages and disadvantages of using DEA in eco-efficiency analysis and areas that require further work are presented.

AbstractWe analyze whether lower rents for energy-inefficient apartments reflect tenants’ willingness to pay due to a higher green awareness, purchasing power, or energy consumption costs. Based on a German rental apartment dataset from Q1 2007 to Q1 2019, we use interaction terms for socioeconomic characteristics in a hedonic regression model. We find that rents are lower for apartments with higher energy consumption, even in neighborhoods with lower levels of green awareness. This relationship is stronger in neighborhoods with higher purchasing power, such that communities with low levels of green awareness and high purchasing power show the steepest negative slope for increasing energy consumption (−8.6% from the highest to lowest rating). Thus, the rent-decreasing effect of purchasing power is higher than that of green awareness. Splitting the entire period into smaller windows, we find that the interaction effect of green awareness has emerged in the most recent years (2017–2019). This may be driven by changes in regulation, which have made it easier for tenants to assess the energy consumption before they rent, or by a general increase in green awareness over this period.