International Journal of Human Capital in Urban Management
Volume:5 Issue: 2, Spring 2020

The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to identify and quantify the land use and land cover types, as well as changes over time. Maximum likelihood algorithm of the supervised image classification was used to map land use land cover types, which consisted of Vegetation areas, built-up areas, agricultural lands, Bare lands, and Scrublands, for 1985, 2003, and 2017 images. Built-up areas (69 %) are the dominant land cover type in the study area, followed by Agricultural lands (22%) and Vegetation areas (7%), though the compositions have changed since 1985. Rapid urban growth is evidenced by the expansion of built-up areas by 370% The growth is at the expense of agricultural and vegetation areas, exposing farmers to loss of massive farmland and woodlands. Additionally, urbanization eroding percent green and open spaces, while also degrading the diversity of the city’s land use land cover types. With one of the world's highest fertility rates and massive rural-to-urban migration, unsustainable Addis Ababa urbanization is likely to continue for the foreseeable future. It is, therefore, critical to adapt sustainable urban planning, which involves consideration of Compact City, Secondary Cities, and Edge city designs to mitigate the adverse impacts of the rapid Addis Ababa urbanization.

West Africa is vulnerable to the effects of climate change. This paper analyzed the impacts of climate change on economic growth in Anglophone West Africa with similar background, during the periods 1969-2016. Five growth model equations have been developed to incorporate climate change variables into the model. Panel data estimations such as the fixed effect model, random effect model and Hausman test were used. The results generated show that four equations required the use of the fixed effect, the agriculture equation model required the use of the random effect model. In the fixed effect models, the results show that the growth of human capital has a negative (-0.08 and -0.23) and significant (0.09* and 0.023*) impact on the growth rate of the services and manufacturing sectors. In Anglophone West African countries, the growth rate of the agriculture sector and temperature are statistically significant (0.008 ** and 0.089*) and have a negative impact (-2.04 and -17.7) on the growth rate of GDP. In the random effect model for agriculture, the growth rate of rainfall has the highest impact on the growth of agriculture in Anglophone West Africa than the impact of temperature on the region. Lack of sufficient rainfall reduces the growth of the agriculture sector. In relative terms, change in rainfall pattern is more harmful to agriculture in comparison to the change in temperature in this region. The consequences of climate change in the region are sluggish economic performance and growth, underdevelopment, poverty, and human misery.

Environmental pollutants have become a dreadful problem and burning issues for the present world irrespective of a country who is responsible for it. The objective of the study is to investigate impact of financial development and institutional quality on environmental degradation. The study is based on panel data for developing and developed countries over the time of 1996-2016. For the empirical analysis fixed effect and the random effect is carried out. Results show that institutional quality, economic growth, foreign direct investment, gross primary enrolment, and industrial growth have significant positive effect on corban emissions whereas financial development, population growth, trade openness, urban population and R&D expenditures have significant negative effect on corban emissions. One percent point increase in the index of institutional quality leads towards 0.006 percent points increase in the level of CO2 emissions. One percent point increase in the economic growth lead to increase the CO2 emissions by 0.39 percent points. One percent point increase in inflows of foreign direct investment increase the level of CO2 emissions by 0.016 percent points. One percent point increase in industrial growth leads to a 0.38 percent points increase in the level of CO2 emissions. Furthermore, one percent point increase in the index of financial development leads to 0.05 percent points decrease in the level of CO2 emissions. One percent point increase in urban population leads to almost 0.05 percent points fall in the level of CO2 emissions. Finally, one percent point rise in R&D expenditures leads to decrease in the level of CO2 emissions by 0.068 percent points.

Although previous studies have attempted to address the challenge of land subdivision, there is still a scarcity in the literature on how the extent of conformity to land subdivision planning regulations may be statistically and spatially analyzed. This study, therefore, explores the extent to which residential developers comply with land subdivision planning regulations in Kenya, a case study of Kisii Town. It was guided by the public interest theory of regulation with a target population of 7,430 residential developments from the seven sublocation neighbourhoods of Kisii Town. Four administrative sublocations were used as strata out of which proportional random samples were drawn from their respective residential neighbourhoods to attain a sample size of 364. Structured checklists were used to collect data on the extent of conformity. Results revealed that although the recommended minimum plot size in Jogoo, Nyamataro and Nyanchwa neighbourhoods was 0.1 ha, 84%, 100% and 88% of developers did not respectively comply. Further, although the recommended minimum plot size for Egesa, Daraja Mbili, Mwembe and Nyamage neighbourhoods was 0.05 ha, 83%, 46%, 58% and 63% of developers failed to, in that order, comply. The problem continues notwithstanding the legal framework that grants the County Government of Kisii powers of development control. Key recommendations comprised establishing a coordinating committee to harmonize agencies that deal with land subdivisions and ensuring that only registered persons’ process of land subdivisions. This study generally benefits international readers by highlighting how compliance with recommended land subdivision planning regulations may be statistically and spatially analyzed.

The study was conducted with the objective of mapping landscape cover of Nechsar National park in Ethiopia to produce spatially accurate and timely information on land use and changing pattern. Monitoring provides the planners and decision-makers with required information about the current state of its development and the nature of changes that have occurred. Remote sensing and Geographical Information System have gained importance as powerful and efficient tools for land cover mapping of inaccessible area. Digital image classification is generally performed to produce land cover maps from remote sensing data, particularly for large areas. In this project, LANDSAT 7 ETM+ 2000 data was prepared for producing land cover map of study area, Nechisar National Park. Digital image processing techniques were conducted for the processes of radiometric and geometric correction and classification for land cover analysis. Additionally, training data for supervised classification were collected in the study area. Signature development was carried out and evaluated. Training sites were re-defined such that significant separability was obtained for all six bands of LANDSAT 7 EMT+. Finally, Supervised Classification was applied to classify the satellite image using Maximum Likelihood Classifier and five major land class cover were identified and mapped for the Nechsar National park. These are:  grassland, forest land, deciduous bush land, thickets, and water bodies.

In today’s world, green human resource management is one of the most important factors in forward-thinking your environment-friendly business. Most of the researchers are of the view that employees must be empowered and environmentally aware of greening while carrying out green human resource management practices.  The present study is examining the impact of different Green human resource practices on environmental behavior directly or indirectly via Pro-environmental behavior. The data is collected through questionnaire from the educational institutions in Baltistan region. The sample size is 300 employees of public universities. A Structure Equation Modeling is utilized to obtain the relationships between the variables. The results show that green human resource management practices have a strong direct impact on Environmental sustainability while the indirect relationship between green environmental training and sustainable environment through a mediator “pro-environmental behavior”. The results illustrate that Green Performance Management and Appraisal has a positive (β=0.27), Green Reward and Compensation and environmental sustainability which again shows a positive (β=0.14) and significant impact of Green Reward and Compensation on environmental sustainability. Green Training and Development also shows a positive (β=0.29) and Green Training and Development has a positive and significant relationship. The results suggest that the mediator does not sensitize environmental sustainability. The study suggests that Public Sector universities need to train and compensate their employee to reduce environmental degradation and make their contribution to the sustainability of the environment.

The modal split model is one of the steps of the classical four-step travel demand planning. Predictive, descriptive, and prescriptive modal split models are essential to make a balance between travel demand and supply. To calibrate these models, it is necessary to detect and employ influential independent variables that are related to characteristics of travel modes, individual and family attributes, zones land use, etc. In previous studies, researchers used the household size, the number of children, and the number of employees as independent variables to show the role of family structure on the modal split. These variables cannot discriminate between different families with different structures. This paper uses the life cycle concept to categorize families based on their structures, and the effectiveness of these new variables on modal split models is examined. For this purpose, five types of family structures are considered that differences between them are based on the age of the family’s children. The Multinomial Logit model is used for mode choice modeling for different trip aims. The mode choice model has been calibrated using the origin-destination data of Qazvin-Iran. Results show the critical role of life cycle dummies in the mode choice models compared to household size, for work, educational, personal, and social- recreational trip aims. Life cycle variables are more active on the work trips mode choice model by estimating 14 significant coefficients, in a 90 percent level of significance. The number of life cycle significant coefficients is decreased to 3 for the shopping trips model.

With the modern development and increasing competitiveness of air transport business processes, the management of knowledge is essential most especially for air transport managers. This controls compounded phases of the organization which begins with the fabrication of organisational strategy towards value creation and improving customers` experience. This study was to explore the review on the impact of knowledge management in the Nigerian air transport sector. Knowledge management is the extent to which improved business performance is realizable. The empirical reveals that the importance of knowledge management in the air transport sector is driven by the increasing level of technological change; the changing dynamics of market forces; complex nature, and expansion of air transport sector; information technology which enhances the collection, analysing, recording and transfer or sharing of information, data or facts within the organisation; and the achievement of competitive advantage through cost and schedule leadership. In the situation whereby an organization does not embark on knowledge management practice, and they planned to expand the scope or dimension of the organization, the expansion will be the sinking sand and the hole where the organization will bury all the knowledge resources and organization will be rendered bankrupt.