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To promote the effective allocation of public sports venues in the county and promote the construction of new urbanization, the allocation of public stadiums in the county was studied under the background of new urbanization. Interviews and literature research methods were adopted. The differences between the new urbanization and the traditional urbanization of the county's public stadiums were discussed. Under the background of new urbanization, the status quo of the allocation of public stadiums in China's counties was studied. Under the background of new urbanization, the problems and influencing factors of the allocation of public stadiums in China's counties were analyzed. The corresponding proposal was put forward. The results showed that the number of county venues in China was greatly improved, but the total amount was still insufficient. The configuration structure was improved, but the structural imbalance was still significant. The way of configuration was innovative, but the government dominated the main position. The configuration policy was constantly improving. The legalization was not perfect. Therefore, the balance between supply and demand, the balance of urban and rural settings, the optimization of public sports venues, and the establishment of public stadiums under new urbanization are important. This will help to promote the study of the allocation of public sports venues in China's counties under the background of new urbanization.

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.

Rural urbanization in China has been discussed by many scholars since the 1980s. In this paper, Wuxi and Jiangyin, two counties in China’s most developed area of southern Jiangsu, were selected as target areas. Four characteristics of rural urbanization, namely, multilevel transfer of rural population into urban population; dispersed spatial pattern; urbanization lagging behind industrial development; and important role of towns in rural urbanization, were analyzed. Through an analysis of the socioeconomic development of Wuxi and Jiangyin, three trends in future development of rural urbanization can be predicted: rural population will continue to progress from lower to higher level and from incomplete to complete form; small towns will continue to develop rapidly and differentially; and rural migrants in regional cities will gradually increase.

This study examines the impact of urbanization on growth and the role of international financial flows in the urbanization-growth nexus.

The study applies the panel least square estimation to examine the impact of urbanization on growth using panel data from 50 developing countries from 1980 to 2016. Further, addressing the endogeneity issues in panel estimations, the study applies the dynamic System-GMM approach to investigate the role of financial flows in urbanization and their impact on economic growth in developing countries.

Contrary to the conventional literature, we found a non-linear (U-shaped) relationship between urbanization and growth. Our findings demonstrate that growth is reduced at a lower level of urbanization due to less availability, concentration, and synchronization of production factors. The concentration of physical and human capital and technological advancement in urban areas help developing countries achieve economic growth at a higher level of urbanization. Robust estimations divulged that foreign aid spent on infrastructure development and expanding urban regions helps promote economic growth. Nevertheless, as a resilient factor, remittances buffer the rapid pace of urbanization and reduce growth by resisting the migration of labor and capital from rural to urban areas.

The paper's findings suggest policymakers promote urban infrastructure and development using local and international funds since its increased level spurs economic growth. Further, the results advise policymakers to reduce aid dependency, attract FDI, and facilitate the easy and low-cost transfer of money to promote remittance inflows since both FDI and remittances positively contribute to economic growth.

The paper contributes significantly to the literature by determining the U-shaped relationship between urbanization and growth and highlighting the role of international flows in the urbanization-growth nexus.

This study aims to quantify the influence of urbanization on housing prices at the district-based level, while also investigating the heterogeneous impacts across different quantiles of housing prices.

The study uses remote-sensed spectral images from the Landsat 7 ETM+ satellite to measure urbanization, replacing prior reliance solely on urban population metrics. Subsequently, the two-step system generalized method of moments is used to evaluate how urbanization influences district-based housing prices through three spectrometries: Urban Index (UI), Normalized Difference Built-up Index (NDBI) and Built-Up Index (BUI). Finally, this study examines the heterogeneous impacts across various housing price quantiles through Dynamic Panel Quantile Regression with non-additive fixed effects under Markov Chain Monte Carlo simulation.

The study demonstrates that urbanization leads to an increase in regional housing prices. However, these impact magnitudes vary across housing price quantiles. Specifically, the impact exhibits an inverse V-shaped curve, with urbanization exerting a more pronounced influence on the 60th percentile of housing prices, while its effect on the 10th and 90th percentiles is comparatively weaker.

This study uses a novel method of remote sensing to measure urbanization and investigates its effects on housing prices. Furthermore, it provides an empirical application of non-additive fixed effect quantile regression for analyzing heterogeneity.

We seek to quantify the relationship between urbanization and economic growth in China using recent advances in econometric techniques.

This study adopts a smoothed instrumental variables quantile regression (SIVQR) estimator to obtain consistent estimates of the effects of urbanization on economic growth in China. Our approach accounts for the differential impacts of urbanization across the conditional distribution of economic growth while allowing for an identification strategy that addresses the endogeneity of urbanization. Our main findings reveal that ignoring urbanization endogeneity leads to inconsistent estimates of urbanization effects. Further, we find a positive relationship between urbanization and growth resembling an inverted U-shape. This supports the hypothesis that the beneficial effects of urbanization intensify at initial stages while diminishing beyond a certain threshold, due perhaps to weakening scale economies.

Our main results indicate that the individual productivity gains brought by urbanization outweigh the negative effects thereof that impede productivity, thus contributing to the economic growth in China. Further, we find that ignoring differential impacts of urbanization underestimates the beneficial effects of urbanization for provinces whose quality of governance is in the vicinity of the center of quality distribution. Ignoring the endogeneity of urbanization generates inconsistent estimates of the elasticity of economic growth with respect to urbanization. Finally, we estimate an inverted U-shape resembling relationship between urbanization and growth.

First, future studies would benefit from incorporating more data as provinces further east on the mainland become more urbanized and urbanization runs its course. Second, controlling the barriers to rural-urban mobility would contribute to the robustness of the estimated relationship between urbanization and growth once such data became available. Unveiling the impact of government-imposed barriers is key to designing optimal policies that help fuel economic growth in the country. Finally, future research could benefit from information on urbanization sources not considered here such as inter-provincial migration, as such data become publicly available.

Quantifying the beneficial effects of urbanization on economic growth can help guide the government in China to further fuel the growth through a set of relevant policy tools that promote urbanization.

Rural-urban migration in China lays the groundwork for economic advancement in recipient cities and economies, as it may induce scale economies. This can benefit both the economy at large and the migrants.

The SIVQR estimator accounts for potential heterogeneous effects of urbanization across the entire conditional distribution of growth while allowing for an identification strategy that addresses the endogeneity of urbanization. An additional distinguishing feature of the current study is our use of the most recent novel, provincial-level data obtained from the National Bureau of Statistics of China. Our focus on a single country allows sidestepping issues arising from the inconsistency of the definition of urban across different countries while accounting for intra-country urbanization drivers intrinsic to China, such as natural features and geographic characteristics. Therefore, our approach has the potential to sidestep the bias resulting from the differences in mechanisms behind urbanization-growth relationships across different countries.

Sustainable urban development implies a process by which sustainability can be attained, emphasizing improvement, progress and positive change, incorporating both environmental and social dimensions. Thus, sustainable urban development highlights the need to reform the market mechanism to achieve environmental goals with the attainment of a balance with social and economic considerations. The large and emerging economies of BRICS have experienced fast-paced urbanization process in recent decades. Along with it the problem of environmental degradation occurs as fast urbanization requires more and more energy consumption as well as carbon emission. Here comes the problem of sustainable urbanization which is a matter of serious concern to deal with. In this chapter, five BRICS nations have taken up to see their respective progress in the fields of per capita energy consumption and carbon emission in their urban areas. To show this it investigates the relationship between urbanization, energy consumption, and CO₂ emissions over the period 1992–2014, using a panel data model. The relative potentials of the countries to reduce respective CO₂ emissions are also analyzed. The results indicate that per capita CO₂ emissions are characterized by conspicuous regional imbalances during the study period. Nations are found to present a long run bidirectional positive relationship, the importance of which is found to vary between the respective regions of the countries.

This study examines the contribution of urban development to Vietnam's economic progress over the period 1986–2020. The study uses an augmented Solow framework, where urbanization is included as a shift variable in addition to capital per worker and accounts for structural breaks. It examines the cointegration and the long-run and short-run effects of urban development from four different cases of cointegration (constant, restricted constant, restricted trend and trend options), with each case accounting for the effect of a significant structural break. Also, the study provides causality nexus to check the presence of urbanization-led growth hypothesis. From the results, we note a long-run positive effect of urbanization on economic growth, but no short-run effects. In all cases, a 1% increase in population results in 0.8–0.9 increase of output, hence supporting a positive and momentous effect of urbanization over the long-term. We note a significant positive effect of a single structural break period (1991), which is a period of major shift towards economic progress. We note bidirectional causality between capital and output and a unidirectional causality from output and capital to urbanization. The former suggests a mutually reinforcing effect of capital accumulation and economic growth, and the latter indicates that urban development necessitates economic growth and capital accumulation. The findings derived from this study provide further impetus for urban development and urban policies and consider urbanization as a critical source of economic growth for Vietnam.

In an economic sense, urbanization is a process of transformation of rural economy to modern economy. It is measured by the increase in urban population to total population. In India, urbanization is increasing over the last 100 years. In 1911, urbanization in India was 10.29% which reached to 31.16% in 2011. In 2018, the urban population of India was 460.78 million or 34% of the total population. In the present world, economic growth of an economy is highly dependent on the growth of Information and Communication technology (ICT). The Indian Information Technology (IT) industry also has created an important place in the global IT market. The objective of this chapter is to search for a relationship between urbanization and development of the ICT sector in India. Secondary time series data of urbanization of India have been analyzed for census years from 1951 to 2011. The data on ICT have been taken for the period 2014–2015. The data have been collected from Internet and Mobile Association of India, Telecom Regulatory Authority of India, Cellular Operations Association of India, and District Information System of Education. For analyzing the development of ICT sector in India the variables taken are e-infrastructure, telephone density per 100 persons, mobile subscribers per 100 persons, mobile subscribers with Internet, schools with computers, and e-participation. Hypothetically, growth of urbanization is expected to develop the ICT sector. From the analysis it comes out that apart from some exceptions, the relatively economically developed and urbanized states of India are found to have a developed ICT sector. Whereas in relatively less urbanized states the development of ICT sectors are not up to the mark.

Failure in environment and urbanization policies can cause many challenges (e.g., widespread of informal settlements which generally lack proper infrastructure and sanitation) on human beings affecting their well-being and welfare adversely fostering gender inequality and gender inequality caused problems globally. Furthermore, environmental degradation caused epidemics due to animal-to-human zoonosis can further challenge health and well-being. Women are relatively more vulnerable and experience relatively more difficulties compared to men due to environmental degradation, urbanization problems, and informal settlements having poor infrastructure. Sustainable environment and urbanization policies and their integrated thinking with health policies are vital to enhance gender equality. Based on the literature review, this chapter aims to examine the role of environment and urbanization policies in enhancing gender equality and women empowerment. Furthermore, this chapter investigates causes and consequences of failure in environment and urbanization policies in addressing gender equality and women empowerment. This chapter emphasizes impacts of environment and urbanization policies on health especially on women health and well-being. This chapter further highlights the role of gender equality in achieving healthy and sustainable environment and urbanization policies. Furthermore, this chapter provides recommendations on how to enhance environment and urbanization policies so that they can further support gender equality and women empowerment effectively.