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This study's objective is to assess the socioeconomic effects of good governance practices in urban land management in two particular Ethiopian towns. Both qualitative and quantitative research methods were employed to achieve this objective. Questionnaires, interviews, and focus group discussions were used to collect data, and the collected data were analyzed descriptively. According to the study's findings, the poor were hit particularly hard by weak governance in urban land management, since they could not afford to bribe authorities to acquire services or legal protection. Development was hampered by poor governance and corruption in the management of urban land, which raised business risks, decreased investment incentives, and restricted access to financing in the towns. Communities bribed officials to remove limits on land-use planning and to influence the decision to stop the implementation of environmental protection rules. Due to their unregistered land, the majority of suburban inhabitants did not pay property taxes. Similarly, since paying property taxes was seen as a necessary step in towns' regularization process, informal settlers were prohibited from doing so. As a result, residents in urban areas began to construct homes without registering their land and land rights. As a result, after being delimited to the towns, more landowners in peri-urban regions utilized their property for residential purposes and unlawful transactions, while fewer were using it for agricultural purposes. Consequently, due to poor governance in urban land management, land-related socioeconomic development was unable to be fostered. [ABSTRACT FROM AUTHOR]

Following its outbreak in late 2019, the Coronavirus disease (COVID-19) has been reported to have had devastating human health, health systems, and socioeconomic impacts across the globe. Countries in the Global South are known to have been hit harder given the low level of resilience to crises amid high levels of poverty and limited social protection programmes. This includes countries in sub-Saharan Africa (SSA). Most of the existing studies on the COVID-19 pandemic in SSA, however, have focused on the puzzling nature of the considerably low rate at which the virus spread over the continent, the low level of hospitalisation, and the corresponding low morbidity rate. As such, little focus has been given to the social and economic effects of the pandemic in the local communities. Carried out in two rural communities in Kenya—Kilifi and Murang'a—the present study adopts a case study approach for an in-depth, real-life context and explores the socioeconomic (including land-related) effects of the COVID-19 pandemic on the vulnerable rural population and the social group of smallholder farmers. Outcomes of the study show that the local effects of the pandemic are context specific. The findings demonstrate that the pandemic has had far-reaching impact on access to and control over land for some households in the rural communities. It was also accompanied with other negative social and economic effects, including a notable rise in teenage pregnancy, intra-household conflicts, job losses, and businesses closures. Positively, it is also claimed to have contributed to food and nutrition security in some rural regions, following increased availability of nutritious food that could have, otherwise, been sold. [ABSTRACT FROM AUTHOR]

During the health crisis, it is vital to protect not only the critical sectors of the economy, the assets, technology, and infrastructure, but first and foremost, it is fundamental to protect jobs and workers. The current COVID-19 pandemic has had a strong impact on the labor market from three main perspectives: number of jobs (through unemployment and underemployment), quality of work (through wages, or access to social protection), and through the effects on specific groups, with a higher degree of vulnerability to unfavorable labor market outcomes. The measures aiming to reduce economic activity and social contacts lead to a reduction of labor demand and implicitly to the increase of the unemployment rate. In this context, it becomes even more relevant to be able to monitor the unemployment rate, providing relevant forecasts that include the effects of market shocks. Thus, our paper aims to forecast the unemployment rate for the period 2020–2023 using the Box-Jenkins methodology based on ARIMA models, exploring also the uncertainty based on fan charts. Although the baseline forecast offers valuable information, a good understanding of risks and uncertainties related to this forecast is equally important. The empirical results highlighted an ascending trend for unemployment rate during 2020, followed by a slow and continuous decrease until the end of 2023 with a high probability for the forecast to be above the central projection. [ABSTRACT FROM AUTHOR]

The EU Commission has introduced the instrument of National Energy and Climate Plans (NECP) to better achieve energy and climate policy targets. In Germany, a comprehensive study was commissioned for this purpose. Its methods and main results are presented here. It starts with a set of energy system models that maps the necessary changes in the energy system, together with corresponding measures bottom-up. The results then enter the PANTA RHEI macroeconometric top-down model as scenario inputs to determine the socioeconomic effects. According to the bottom-up models, achieving the target of 55% GHG reduction by 2030 will not be easy. The macroeconomic effects are mostly positive. Driven by additional investment, GDP and the number of jobs will be higher than in the baseline. The construction and service sectors can benefit from energy and climate policy measures. The share of final consumer expenditures on energy in GDP declines by 2030 compared to today. However, the direction and magnitude of the effects are not undisputed in the literature. The results show that ambitious climate policies are possible in Germany, which can also improve the achievement of economic and social goals. [ABSTRACT FROM AUTHOR]