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The quest for economic development has brought adverse effects on the environment through the release of greenhouse gases, such as carbon dioxide (CO₂₎. This will counter the efforts to achieve the Sustainable Development Goals (SDGs) by 2030. This study, therefore, investigates the effect of electricity consumption and urbanization on CO₂ emissions in Ghana. Electricity consumption and urbanization are among the factors that can be used to reduce CO₂ emissions.

Following the STIRPAT framework with the Hansen (2000) least squares threshold estimation strategy, the study employed annual time series data from 1971 to 2019.

The study revealed a single threshold effect of both electricity consumption and urbanization on CO₂ emissions. Electricity consumption intensity reduces CO₂ emission when electricity consumption is below the threshold (6287GWh) but increases when consumption passes the threshold. However, urbanization exerts a positive influence on CO₂ emissions regardless the level of urbanization (either before or after the threshold point). Again, the empirical results revealed that the urbanization threshold moderates the effect of electricity consumption on CO₂ emissions.

Policymakers have to consider redesigning the current urbanization mode to include some new-type urbanization elements.

The threshold effect of electricity consumption and urbanization on CO₂ emissions in Ghana is examined using the Hansen (2000) least square method.

The purpose of this paper is to estimate the impact of the agglomeration economies as pull factor of international migration between the European Union and the countries involved in the European Neighbouring Policy.

The applied research is conducted in the 1970-2000 period by using a gravitational model and estimated by linear and non-linear models with a wide fixed-effects structure.

The main finding of this work is the fact that increasing urbanisation matters more as a pull factor than improvements in GDP per capita. The interpretation of these results may be linked with the existence of opportunities arising in cities. Besides, immigrants not only look for monetary outcomes from migrating, but also non-economic territorial features.

Few works have analysed previously the role of urbanisation on international migration flows.

Due to the growing percentage share of urban dwellers, the physical distribution of products faces altering conditions. This research explores the effects that urbanization has on the performance of a fast-moving consumer goods distribution network. A focus is set on changes in distribution cost, the cost-minimal network design, and greenhouse gas emissions.

The analyses are based on a quantitative distribution network model of an existing manufacturer of consumer goods.

The results indicate that the foreseen population shift will affect the network's economic and environmental performance. Effects are, among others, due to differences in the efficiency of supplying urban and nonurban regions. The combined effects of urbanization and the development of the population size will even more affect the network's performance.

Research dealing with distribution logistics and urbanization primarily focuses on city logistics. In this paper, the object of analysis is the entire distribution system.

A relatively simple function derived from Benouilli’s differential equation and given the class name “metalogistic” is shown to be an efficient descriptor of the dynamics of a number of important American aggregates. These include five demographic, i.e. population, urbanization, immigration, birth‐rate, and death‐rate over the 1820‐1992 time period; and six socio‐economic, that is gross national product, GNP deflator, civilian labour force, unemployment, total energy in BTU, and a surrogate of higher knowledge, these over the 1880‐1992 time period. The descriptor in each case is defined by parameters derived from the data through regression, with model efficacy measured by an R² > 0.90 in almost all cases.

How are our cities confronting the challenges posed by a warming climate, the loss of biodiversity, and the increasing urban heat island effect? ― This chapter discusses the opportunities and benefits of applying the concepts of renaturalization and rewilding of cities. It introduces nature-based solutions (NBS) in urban planning that are integrated with the aim to enhance urban resilience and to slow down the biodiversity decline, which can be applied in two areas: through the conception of new green neighborhoods and through the regeneration and regreening of existing but neglected parts of the city, such as postindustrial brownfields or economically weak districts.

Contact to nature is essential for human existence, urban well-being, and a good quality of life. Green spaces in cities – big or small – all contribute to health and well-being. However, many cities do not offer residents easy access to green space within the city. Improving better access and extending gardens and parks will deliver a large number of benefits, such as ecosystem services, better water management for enhanced urban flood control, and slowing down the biodiversity loss, with the potential to restore damaged ecosystems. Furthermore, additional green space and NBS help to keep cities cool during heat waves and improve the urban microclimate.

In this context, NBS and regreening can generate significant benefits for citizens, improve urban health and well-being, and offer an opportunity to effectively deploy nature to resolve major societal challenges ― such as social inclusion, food security, and disaster risk reduction. However, it is essential that the design of NBS is fully integrated with other complementary planning interventions and seeks synergies across all sectors.

The purpose of this paper is to examine the relationship between urbanization and economic growth in ASEAN countries for the period 1993-2014.

The Granger causality test and the regression estimation method with static and dynamic panel data (FE, RE, Driscoll and Kraay, D-GMM and PMG) were used. The sample includes seven ASEAN countries: Brunei, Cambodia, Indonesia, Malaysia, Philippines, Thailand and Vietnam.

The results show that at least a causal relationship exists between urbanization and economic growth and urbanization positively impacts economic growth. However, the relationship between urbanization and economic growth is non-linear. The urbanization reaches a threshold after which it may impede the economic growth. The estimated threshold is 69.99 percent for the static model and 67.94 percent for the dynamic model.

The evidence from this study suggests that there is a non-linear relationship between urbanization and the economic growth. Urbanization has the potential to accelerate the economic growth, and this potential will depend on the establishment of favorable institutions and investments in appropriate public infrastructure.

The decision on the model of urbanization needs to be based on social and environmental considerations as well as market-based economic efficiency. The quality of urbanization manifests in the way that people and businesses perceive when they come to cities and their position in the labor market, urban housing, niche commodity markets, supply chain, collaborative network and physical space for the operation of the business. Most ASEAN countries have not yet reached a high level of urbanization, despite having a number of policies for promoting urbanization to contribute to the economic growth. However, policymakers should find ways to facilitate the development of urbanization that contributes to economic growth, employment growth, environmental sustainability, rather than the pursuit of speeding up the process of urbanization.

Between urbanization and economic growth at least a causal relationship exists. Urbanization positively impacts economic growth. However, the relationship between urbanization and economic growth is non-linear. The urbanization reaches a threshold after which it may impede the economic growth. The estimated threshold is 69.99 percent for the static model and 67.94 percent for the dynamic model.

The purpose of this paper is to develop a suitable framework of sustainable urbanization performance evaluation from the view of efficiency for mitigating the unbalance between the theoretical research of sustainable urbanization and the practical need of sustainable urbanization.

A slack-restricted slack-based measure data envelopment analysis (DEA) model and two sustainable urbanization benchmarking methods with individual and centralized view, respectively, are developed based upon the classical DEA theory.

The empirical results show that China is now suffering a relatively low level of sustainable urbanization. Too much waste water emission, too small an urban population proportion, and too much resource wastage are the major factors that drive China’s urbanization away from sustainability.

Having the overall aim of practical urbanization, the proposed framework can help stakeholders recognize different sustainable urbanization performance levels by offering them accurate sustainable urbanization performance scores. The framework can also direct governments to improve the sustainable urbanization performance. The empirical analysis of China’s provincial region sustainable urbanization performance with the proposed framework further demonstrates the theoretical and practical value of this research.

This paper aims to evaluate the stage and level of Henan province urbanization and provide basis for decision making.

At first, build the evaluation index system which includes 17 indexes in four classes so that can reflect the level of urbanization development of the entire region comprehensively. Then build the gray clustering model based on set pair. On this basis, the paper evaluates the urbanization process in Henan province. In order to get a clear understanding of the urbanization level in Henan province, the paper selects several typical provinces and compares them with Henan province in urbanization process.

The results show that the urbanization level in Henan province belongs to the general level; there is a gap in urbanization process between Henan province and other advanced provinces.

The paper put forward a method to evaluate the urbanization process in Henan province and get a clear understanding of the urbanization level in Henan province.

The paper combines the set pair analysis and the gray fixed weight cluster method based on triangular whiten weight function, which can avoid the defect that the assessment result is too vague and the difference is not significant.

Examines the effects of demographic, mobility, economic, social and technology factors as independent variables upon industrialization, urbanization and modernization as dependent variables. Compares between results of the analysis of these factors related to both Cowgill’s and Kuznet’s models. Samples 22 different Arab societies. Suggests that results show a positive relationship between change rate in urban population, expenditure on education, energy consumption per capita, total exports, external debts and modernization. Shows a negative relationship between family size, illiteracy, total imports and modernization, and supports the Cowgill model.

Despite the enormous need to succeed in the urban model, scientists and policymakers should work consistently to create blueprints to regulate urbanization. The absence of coordination between the crucial requirements and the regional strategies of the local authorities leads to a lack of conformance in urban development. The purpose of this paper is to address this issue.

This study intends to manage future urban growth patterns using integrated methods and then employ the results in the genetic algorithm (GA) model to considerably improve growth behavior. Multi-temporal land-use datasets have been derived from remotely sensed images for the years 1990, 2000, 2010 and 2020. Urban growth patterns and processes were then analyzed with land-use-and-land-cover dynamics. Results were examined for simulation and utilization of the GA.

Model parameters were derived and evaluated, and a preliminary assessment of the effective coefficient in the formation of urbanization is analyzed, showing the city's urbanization pattern has followed along with the transportation infrastructure and outward growth, and the scattering rates are high, with an increase of 5.64% in building area associated with a decrease in agricultural lands and rangelands.

The research achieved a considerable improvement over the growth behavior. The conducted research design was the first of its type in that field to be executed to any specific growth pattern parameters in terms of regulating and policymaking. The method has integrated various artificial intelligence models to monitor, measure and optimize the projected growth by applying this design. Other research on the area was limited to projecting the future of Amman as it is an urbanized distressed city.