Urban Socio-economic Development Research Articles

Identifying the Central Business Districts of global megacities using nighttime light remote sensing data

ABSTRACT The Central Business Districts (CBDs) are important hubs for urban economic activities. In the context of globalization, a unified CBD boundary would greatly facilitate the study of global CBD comparative analysis, urban socio-economic development, urban transport and commuting mode. However, previous studies have encountered challenges in developing a practical method for global CBD identification due to limitations in data sources and methodologies. In this study, we selected 32 global megacities as research objects and used the open-access Black Marble nighttime light (NTL) products to construct indicators with the intensity and angular effects of NTL. Clustering and decision tree were then employed to derive rules for CBD identification. Results show that combining Z-score indicators and the strategy of clustering 32 cities before decision tree classification could improve the accuracy of CBD identification, which achieved a producer accuracy of 85%. The 32 cities were clustered into three types, i.e. U.S.A.-like, the mixed type, and China-like. The rules for CBD identification became more complex in the above order, but the accuracy decreased in turn. This study provides a new CBD identification method for cities lacking reference data, allowing for the delineation of unified and comparable CBD boundaries on a large scale.

Achieving carbon neutrality in Shanghai's municipal wastewater treatment sector requires coordinated water conservation and technical improvement

Municipal wastewater treatment plants (WWTPs) situated within urban landscapes play a critical role in fostering sustainable urban development while concurrently serving as substantial contributors to greenhouse gas (GHG) emissions. Under the dual pressure of future urban socioeconomic development and the carbon neutrality target, it is important to identify GHG emission reduction pathways for municipal WWTPs. Existing research on GHG emission reduction in WWTPs exhibit a notable absence of a comprehensive city-centric perspective, with insufficient consideration given to the impact of water conservation measures. We constructed a GHG emission accounting system for the municipal WWTPs employing Shanghai as a case study. Based on field surveys of typical WWTPs, we proposed GHG emission reduction pathways and future demand-technology scenarios. Our results showed that, with the robust mitigation measures, Shanghai's municipal WWTPs have the potential to curtail GHG emissions to 0.55 Mt by 2050. Notably, GHG emission reduction can be achieved through water conservation and technical improvement. Medication optimization and energy saving are significant mitigation measures for GHG emission reduction, and should be optimally considered in the future. This investigation not only establishes a forward-looking GHG emission reduction roadmap for the municipal WWTPs at the city-scale but also imparts valuable insights to urban management practices in analogous urban settings.

From blocks to cities: Morphology structure rooted in 3D patterns and forming clusters at the block level

This article proposes a 35D form index system to quantitatively describe the 3D form of urban blocks. Utilizing the T-distributed stochastic neighbor (TSNE) embedding algorithm for cluster analysis, the visually complex and disordered urban 3D texture is translated into distinct form clusters, enabling the recognition of the overall urban form structure from the block perspective. The research methodology includes experiments conducted in the central area of Nanjing and comparative analysis in three neighboring cities: Shanghai, Hangzhou, and Suzhou. Results demonstrate the efficacy of form parameters and cluster analysis in achieving sound recognition. The four cities differ remarkably in the number and distribution structure of clusters. Shanghai has the fewest types of clusters with a compact distribution, Suzhou has the most types with a dispersed distribution, and Hangzhou and Nanjing exhibit similar characteristics, located between Shanghai and Suzhou. Correlation analysis reveals a negative relationship between the number of cluster types and the level of urban socioeconomic development in similar areas. This research implies that governments and urban planners can exploit neighborhood morphological types to devise customized spatial management and renewal strategies. The overall urban structure can be improved by strategically minimizing the quantity and distribution of neighborhood morphological types, fostering socioeconomic development.

Similar cities, but diverse carbon controls: Inspiration from the Yangtze River Delta megacity cluster in China

Addressing global uneven urban development and the urgent need to reduce carbon emissions (CE), this study presents a new method for calculating urban socioeconomic development indexes using a variety of data sources. Using the Yangtze River Delta as an example, we categorize urban areas into core, transitional, and peripheral cities. With the help of extended Kaya-index decomposition models, we evaluate the effects of regional industrial growth, consumer markets, and spatial expansion on urban CE. The research explores differences in CE drivers across and within these city categories. Our findings reveal that in core cities, 31.5 % of CE is due to the industrial structure and 14.9 % due to population density. In transitional cities, CE increases by 60.22 % primarily due to industrial structure and consumer consumption. Peripheral cities, on the other hand, have a complex set of causes for CE, with per capita living, spatial expansion, population size, urbanization, and consumption limitation contributing to 91.97 %, 10.73 %, 14.2 %, 9.34 %, and 24.92 % of CE respectively. Varied factors influence CE intensity differences within each city group. Cleaner production technologies and potential carbon reductions in consumption and industry are identified as key strategies for compensating CE reduction. We propose the adoption of carbon function zoning in urban clusters to leverage the role of carbon function in each area. Territorial spatial planning should ensure a balanced layout of production, living, and ecological functions. Residents' consumption, being the key factor driving CE, must transition toward green, low-carbon consumption, reinforced by societal norms and responsibilities. This research provides valuable theoretical and practical insights into urban classification and CE reduction strategies.

Exploring influential factors of CO2 emissions in China's cities using machine learning techniques.

The precise and exhaustive discernment of factors influencing CO2 emissions underpins the advancement toward sustainable, low-carbon development. Although numerous studies have probed the correlation between predetermined proxy variables and carbon emissions, methodological constraints have often led to an inability to effectively discern carbon emission determinants among numerous potential variables or unravel complex, non-linear relationships, and interaction effects. To redress these research gaps, this research utilized machine learning models to correlate urban CO2 emissions with socioeconomic indicators. The model outputs were then visualized and interpreted using explainable methods. The findings indicated that the model successfully identified a comprehensive array of dominant influences on urban CO2 emissions, principally associated with local fiscal policies, land use, energy consumption, industrial development, and urban transportation. The findings further revealed a complex non-linear association between these factors and urban CO2 emissions; however, the majority of these variables displayed a prevalent propensity to intensify carbon emissions in correspondence with an increase in sample value. Additionally, these factors exhibited a complex interactive influence on urban CO2 emissions, with distinct pairings producing a suppressive effect exclusively at specific combination of sample values. Consequently, this research posited that a robust correlation between urban socioeconomic development and CO2 emissions in China remains to be established. Given the varied impacts of these influencing factors across different cities, a differentiated approach to development should be adopted when charting low-carbon trajectories.

Simulation of urban transport carbon dioxide emission reduction environment economic policy in China: An integrated approach using agent-based modelling and system dynamics

Reducing greenhouse gas emissions has become a hot topic in the 21st century. As the main source of urban carbon dioxide (CO2) emissions, reducing transportation CO2 emission has also attracted great attention worldwide. To reduce traffic CO2 emissions, we propose a complex model that combines multiagent-based models and system dynamics models. From the perspective of the job-housing balance, we explore the interaction among urban socioeconomic development, low-carbon transportation, environmental economic policies (prices, charging policies, etc.), and other factors, simulate the urban traffic CO2 emissions system and policies, investigate the impact of different strategies on traffic CO2 emissions reduction and the economic advantages to the environment, and then select an optimal policy scheme. The analysis results indicate that if we want to achieve the goals of Beijing's future development planning through comprehensive industrial structure adjustment and policy adjustment, then Beijing should accelerate the implementation of the policy of collecting traffic congestion charges. The pricing of traffic congestion charges should be 40 CNY, the parking fees should be increased to 13 CNY, the starting fares of buses and subways should be increased to 2.6 CNY and 4 CNY, respectively, and taxi starting prices should be raised to 17 CNY. At the same time, through the simulation results of the coupling model, the CO2 emissions reduction effect of each scenario in 2050 is better than that of business as usual scenario (BAU). Compared with BAU, C8 scheme has the largest emission reduction, with emission reduction of 19.5975 million tons in 2050, and CO2 emissions reduction intensity of more than 50%. As a result, given a comprehensive scenario, C8 is the optimal long-term development route. Our findings serve as a foundation for key Beijing administrative departments to enhance the jobs-housing link, as well as a guide for the development and execution of environmental and economic policies to reduce traffic CO2 emissions.

Research on the Rural Logistics Development Model Based on Online and Offline Transactions

As the world’s second largest economy and a traditional agricultural country, China has not yet achieved the goal of modernizing the logistics of agricultural products. The overall modernization of its logistics industry has not been achieved either. Due to the poor overall performance of its agricultural product logistics, the level of China’s agricultural product logistics is still in its infancy, with high logistics costs, large losses, and low efficiency. In fact, the construction of a modern agricultural product logistics system in China is lagging behind. This has seriously affected the process of agricultural industrialization in China. Compared with its urban socio-economic development, its rural development is relatively lagging behind. The “three-rural” (including agriculture, rural area, and peasant) problem caused by the divided urban-rural structure in China has distorted the relationship between workers and peasants. This has become a global problem, affecting China’s economic and social development. The core problem is the slow growth of farmers’ income. The bottleneck that has been restricting their income has shifted from production to circulation. In recent years, the promulgation of a series of policies and documents has brought both, hope and challenges to the online and offline integration and development in the field of agricultural product circulation. This paper briefly outlines the characteristics and status quo of rural logistics development based on online and offline transactions, and provides some effective suggestions on how to build a new rural logistics development model based on online and offline transactions, in hope to assist the development of new rural logistics models in China. The construction provides a reference for the development of the logistics industry in China’s rural areas, thereby promoting the circulation of agricultural and sideline products, and better developing China’s rural economy.

The multi-scale structural complexity of urban morphology in China

The city is a living organism, of which the emergence and development is one of the most representative complex phenomena in the social system. By the traditional method of urban science, it has been assumed that the city grows uniformly in a way. Accordingly, its morphology can be described by the traditional Euclidean geometry. Recent studies have proposed that the complex spatial phenomena related to the existing urban system are more suitable to be explained by fractal geometry. Urban morphology is an approximate fractal structure rather than a regular one, because its morphology is affected by many factors, such as topography, history, economic and political environment. In this article, we measured the degree of urban morphology deviating from the fractal by the multi-scale structural complexity method. By this method, it can find the difference in whole complexity among different cities as well as comparison in the local complexity of a city among different spatial scales. It was found that the multi-scale structural complexity is not only related to the vitality of the urban socio-economic development but also affected by the typical statistical indicators (such as the urban infrastructure). Interestingly, by constructing the mutual information network among cities, we found that there is a strong correlation between the whole complexity of typical cities, such as Chongqing and Xi′an, and Beijing and Macao, that is to say, the construction or development of these cities may follow the same set of patterns. Moreover, there are also similarities (i.e., strong correlations) between the socioeconomic forms of the years, such as 2009 and 2013, which are either all stable or all depressed. Our research provides a new perspective for depicting the complexity of the urban system from different spatial scales.

On Transforming Unused Urban Spaces to Social Housing for Self-Employed People in Ho Chi Minh City: An Architectural Space Design Proposal

As with many metropolitan areas, social housing (SH) provision, which can improve living standards and social welfare, is crucial for urban socio-economic development strategies in Ho Chi Minh City (HCMC). However, there have been issues relating to promoting social housing in the Vietnamese context resulting from the property market and the design. The former is a failure to attract investors. The latter relates to lacking housing models for the mid- and low-income communities. Currently, many low-income families who have low access to the general job market in HCMC have to make a living by running their own business at home. This situation leads to low-income housing establishments in some residential areas. Thus, the planning approach in social housing needs to solve both the demand for low-cost housing and promoting self-employed activities. In this paper, mixed methods, including observation, questionnaires, interviews, data aggregation, and comparison, were conducted with supporting legal conditions and corresponding operating conditions to propose appropriate designs for the SH for self-employed people in HCMC. First, observing and analyzing urban spaces helped identify the unused urban areas that solve the investment issue. Then, after studying the development of social housing in different contexts via the questionnaire and in-depth interviews, self-employed households’ basic information and their business needs in using SH spaces were identified in some districts. Then, based on the legal framework and practical projects, optimal space designs were formed.

Downscaling Building Energy Consumption Carbon Emissions by Machine Learning

The rapid rate of urbanization is causing increasing annual urban energy usage, drastic energy shortages, and pollution. Building operational energy consumption carbon emissions (BECCE) account for a substantial proportion of greenhouse gas emissions, crucially influencing global warming and the sustainability of urban socioeconomic development. As a foundation of building energy conservation, determination of refined statistics of BECCE is attracting increasing attention. However, reliable and accurate representation of BECCE remains lacking. This study proposed an innovative downscaling method to generate a gridded BECCE intensity benchmark dataset with 1 km2 spatial resolution. First, we calculated BECCE at the provincial level by energy balance table application. Second, on the basis of building climate demarcation, partial least squares regression models were used to establish the BECCE behavior equations for three climate regions. Third, Cubist regression models were built, retrieving down scale at the prefecture level to 1 km2 BECCE, which well-captured the complex relationships between BECCE and multisource covariates (i.e., gross domestic product, population, ground surface temperature, heating degree days, and cooling degree days). The downscaled product was verified using anthropogenic heat flux mapping at the same resolution. In comparison with other published pixel-based datasets of building energy usage, the gridded BECCE intensity map produced in this study showed good agreement and high spatial heterogeneity. This new BECCE intensity dataset could serve as a fundamental database for studies on building energy conservation and forecast carbon emissions, and could support decision makers in developing strategies for realizing the CO2 emission peak and carbon neutralization.

The Direct and Spillover Effect of Multi-Dimensional Urbanization on PM2.5 Concentrations: A Case Study from the Chengdu-Chongqing Urban Agglomeration in China.

The Chengdu-Chongqing urban agglomeration (CUA) faces considerable air quality concerns, although the situation has improved in the past 15 years. The driving effects of population, land and economic urbanization on PM2.5 concentrations in the CUA have largely been overlooked in previous studies. The contributions of natural and socio-economic factors to PM2.5 concentrations have been ignored and the spillover effects of multi-dimensional urbanization on PM2.5 concentrations have been underestimated. This study explores the spatial dependence and trend evolution of PM2.5 concentrations in the CUA at the grid and county level, analyzing the direct and spillover effects of multi-dimensional urbanization on PM2.5 concentrations. The results show that the mean PM2.5 concentrations in CUA dropped to 48.05 μg/m3 at an average annual rate of 4.6% from 2000 to 2015; however, in 2015, there were still 91% of areas exposed to pollution risk (>35 μg/m3). The PM2.5 concentrations in 92.98% of the area have slowly decreased but are rising in some areas, such as Shimian County, Xuyong County and Gulin County. The PM2.5 concentrations in this region presented a spatial dependence pattern of “cold spots in the east and hot spots in the west”. Urbanization was not the only factor contributing to PM2.5 concentrations. Commercial trade, building development and atmospheric pressure were found to have significant contributions. The spillover effect of multi-dimensional urbanization was found to be generally stronger than the direct effects and the positive impact of land urbanization on PM2.5 concentrations was stronger than population and economic urbanization. The findings provide support for urban agglomerations such as CUA that are still being cultivated to carry out cross-city joint control strategies of PM2.5 concentrations, also proving that PM2.5 pollution control should not only focus on urban socio-economic development strategies but should be an integration of work optimization in various areas such as population agglomeration, land expansion, economic construction, natural adaptation and socio-economic adjustment.

Study on the relationship among the urbanization process, ecosystem services and human well-being in an arid region in the context of carbon flow: Taking the Manas river basin as an example

The complex interaction among urban socioeconomic development, ecosystem services and human well-being is related to the level of regional sustainable development, which is an important cross scientific issue in the study of natural ecosystems and the social economy and is also an important subject in the study of the “future Earth”. This research quantitatively evaluated the level and the spatial and temporal dynamic characteristics of urbanization, ecosystem services and human well-being in Manas River Basin with carbon elements as the carrier. Then the complex relationships and action mechanisms among the three was revealed by using an approach comprising constraint lines, the urban development benefit index and a correlation analysis. The results showed that urbanization and all its dimensions increased to varying degrees from 2000 to 2015. For the ecosystem services, except for provision services, the other ecosystem services showed a fluctuating downward trend, affected by which human ecological well-being also showed the same trend, while social well-being, economic well-being and total human well-being showed exponential growth. Spatially, in addition to the provision services, the distribution of the other ecosystem services had an obvious spatial differentiation with urbanization. And broadly, the distribution trend showed that the farther away from the city centre an area was, the higher the services level. The constraint line analysis showed that each dimension of urbanization had a significant constraint on the ecosystem services, and the constraint relationship showed the hump type, logarithmic type, and negative line type, which indicated that the potential maximum value of the basin ecosystem services decreased with the improvement of urbanization level. Meanwhile, the extensive urban development made the benefit of urban development of the river basin decline. The correlation analysis showed that human well-being was more affected by urbanization than ecosystem services, especially economic urbanization and land urbanization, which remarkably improved human well-being. However, in the long run, the decline of ecological well-being caused by urbanization will affect the growth potential of human well-being. This study provides a theoretical support and suggestions for the formulation of urban development strategies and the realization of low-carbon and high-quality development for the basin.

Land suitability assessment for supporting transport planning based on carrying capacity and construction demand.

With the rapid global urbanization, the unlimited increasing transportation infrastructure has met the needs of urban expansion, but it has caused a series of ecological problems lacking consideration of ecological conservation. The land suitability assessment for supporting transport planning based on carrying capacity and demand for construction is an effective way to promote urban socioeconomic development and ecological conservation. Therefore, we constructed a logical framework of resources and environment supporting, traffic construction demand driving, and ecological protection red line and basic farmland constraining, and applied the analytic hierarchy process (AHP), GIS, three-dimensional magic cube method, and gravity model to evaluate the suitability of expressway development in Sichuan Province, China. The results showed that the spatial difference in the carrying capacity of resources and environment and the demand for expressway construction was relatively high in Sichuan, and those in eastern cities were even higher. The land suitability for supporting transport planning was relatively high, and the suitable areas with a grade from 8 to 10, accounted for 20.77% of the total study area, which could almost meet the demand for transportation infrastructure construction. The land suitability performed a circle structure with Chengdu as the core and gradually decreasing to the periphery. Overall, this study adds new insights to transport planning reform in other similar regions around the world and can provide important references for regional development planning and environmental protection.

Does China's City-Size Distribution Present a Flat Distribution Trend? A Socioeconomic and Spatial Size Analysis From DMSP-OLS Nighttime Light Data

Inconsistent measurements of city-size and a lack of time-series information on urban socioeconomic development have hindered determining whether China's city-size distribution (CD) follows a Pareto distribution according to multiple perspectives. This article has attempted to evaluate China's CD based on the defense meteorological satellite program- operational line-scan system (DMSP-OLS) nighttime light data in terms of socioeconomic size (SS) and spatial size (SC). First, city size was defined from the DMSP-OLS data. Then, whether China's CD followed a Pareto distribution was evaluated from different perspectives. The results show that China's CD from 1995 to 2015 presents a flat distribution trend; the flat distribution trend of the SC is more obvious than that of the SS; “borrowed size” has become an important reason for the flat trend of China's CD; and residential suburbanization, transportation cost reductions, local government policies, and land finances could effectively explain the CD differences in the flat trends between the SS and SC. This article offers an effective means for quantifying and comparing CD in long time series at a large scale (e.g., national scale or regional scale) and provides a scientific decision basis for governments to build a reasonable CD system in China.

Digital Information Tools for Urban Regeneration: Capital’s Approach in Theory and Practice

Urban regeneration, which includes renovation of decaying urban structures as well as renovation of dilapidated buildings, is an important economic, aesthetic and cultural factor for sustainable development planning worldwide. The revitalization of urban structures is a complex challenge, influenced by various interdisciplinary aspects, like urban socio-economic development, integrated transport and mobility solutions and others. And it requires involvement of different stakeholders at different levels in identifying and finding solutions. Technological innovations offer a variety of digital tools to address modern urban governance and modelling issues, identifying problem areas with public involvement and participation that allow relevant services to respond quickly, thus improving the urban environment and the quality of life of people. With the help of digital tools, it is also possible to promote the availability of public services, model and forecast environmental risks, as well as perform other functions integral to the organization and management of modern society. However, the wide range of these tools and their mutually asynchronous use often make it difficult to choose the right tool, thus creating the risk of fragmented implementation. The aim of this paper is to propose theoretical approach for modelling of complex interactions affecting urban regeneration as well as summarize and systematize the existing digital information tools which might empower the process of regeneration. The analysis of the use and impact of digital and smart tools allows to identify urban problems, as well as to outline ways to solve them. The results of the research will form the basis for further research stages.

A Four-Dimensional Evaluation of the Urban Comprehensive Carrying Capacity of the Yangtze River Delta, China

The evaluation of urban comprehensive carrying capacity (UCC) is of great importance in maintaining urban socio-economic sustainable development. However, UCC is still in its nascent period with limited applications and a lack of credible assessment methods. To enrich this field, this study constructed an objective scientific index to evaluate the UCC of the Yangtze River Delta (YRD) region from a four-dimensional perspective, examining economy, society, environmental, and transportation subsystems. The improved entropy method based on 18 weighted indicators was used to measure the UCC of the 26 cities of the YRD for the period 1990–2018. Results indicate that nine cities were overloaded in 2018, meaning comprehensive carrying capacity demand exceeds supply, and the other seventeen were in loadable condition, meaning such demand did not exceed supply; the social and transportation subsystems are the most important because their index weights and UCC levels are higher than the other two subsystems; the overall UCC for all cities in the YRD is at a medium level, and there are large disparities between the various cities. The empirical results imply that the government should take effective measures to improve UCC in these cities, combining cities’ specific advantages to enhance the efficiency of resource allocation and utilization and improve carrying capacities, and changing the mode of economic development. Based on UCC levels, it is also important to improve environmental conditions and coordination and integration in the development of urbanization. Policy implications on improving UCC have been highlighted in the final section.

A Spatial-Socioeconomic Urban Development Status Curve from NPP-VIIRS Nighttime Light Data

Urban development status is closely related to the urban economy, environment, ecology, and health. Spatial and socioeconomic processes are the two key aspects of urban development, so the absence of any of them will affect the assessment of urban development status. In this study, using both spatial and socioeconomic information from land cover data and nighttime light data, respectively, we proposed an exponential model, Spatial–Socioeconomic Urban Development Curve (SSUDC), to provide a quantitative expression of the relationship between the two key processes of urban development and analyze urban development status. The SSUDC was calculated from the artificial surface ratio at 1% intervals obtained from Globeland30 land cover data and the corresponding average NPP-VIIRS nighttime light radiance data, using a nonlinear least-squares method. We generated SSUDCs for 330 prefecture-level cities in Mainland China, 208 of which had coefficients of determination (R2) greater than 0.6. Taking Ordos and Guiyang as two typical examples, we analyzed the importance and advantages of SSUDC. The coefficients α and β of the exponential SSUDC were shown to indicate the base intensity socioeconomic activity and the concentration of socioeconomic activities, respectively, and can be used to reveal the urban socioeconomic development status and functional type of cities. At the internal urban level, the residuals of SSUDC can imply the demand for urban physical or economic construction in different areas of the city, and even the urban growth type, together with the distribution of the artificial surface ratio. In summary, the proposed SSUDC provides a simple way to combine the spatial and socioeconomic processes of urban development, which is beneficial to the analysis of urban development at different scales and a rewarding tool for urban planning.

Urban River Health Analysis of the Jialu River in Zhengzhou City Using the Improved Fuzzy Matter-Element Extension Model

Urban rivers are valuable elements of urban ecosystems and play a key role in urban socio-economic development. Unfortunately, the functional integrity of urban rivers is being threatened by extensive human activities associated with the social development. Urban river health evaluation is important, as it may provide policy makers with information that is fundamental for river governance and the protection of urban ecosystems. To this purpose, we first constructed an urban river health assessment index system based on the pressure–state–response (PSR) framework. Secondly, we developed an urban river health index (uRHI) using the improved fuzzy matter–element extension assessment model. Finally, we used the uRHI to assess the health state of the Jialu River from 2008 to 2017 in Zhengzhou City, China. The results indicate that the health state of the Jialu River was improved from an unhealthy state in 2008 to a sub-healthy state in 2017. The pressure, state, and response subsystems developed towards a healthier state from 2008 to 2017, thanks to the implementation of a number of actions by the local government. However, the overall health status of the Jialu River is still relatively low. The Jialu River also faces several pressures, such as substantial Chemical Oxygen Demand (COD) emissions and sewage discharge. This paper concludes that it is necessary to further strengthen the health management of the Jialu River and the protection of Zhengzhou’s water environment.

Impacts of Land Disputes on Community Development

Land disputes as experienced in different parts of Nigeria have strong effect on rural and urban socio-economic development. Land disputes have disastrous and life threatening effects on individuals as well as on groups, communities and even entire nations. The goal of this study is to investigate the impacts of disputes on land in relation to human capital and infrastructural development of communities. In view of this, the study examined the specific impacts of land disputes on the development of communities in Inyimagu district. In achieving this, Three hundred and Seventeen (317) questionnaires were retrieved from the residents of the various villages that make up Inyimagu community in Ikwo local government area of Ebonyi state Nigeria, a community that has been ravaged by communal clashes with the adjoining villages including Nsobo community in Obubra local government area of Cross River state over the issue of land ownership. Data were analysed using a simple descriptive statistics. Finding shows that village claim of long time settlements, long-term enmity amongst families among others factors are the major reasons for the incessant land disputes in these communities. The study will contribute to the knowledge of understanding the major factors responsible for land disputes in rural communities and the effects of such disputes to the socio-economic growth and development of the effected communities.

Perceived Effects of Poverty on Urban Socio-Economic Development in Ambo Town, Ethiopia

This study was an assessment of the perceived effects of poverty on urban socio economic development in Ambo town. Poverty is deprivation in wellbeing and lack of basic necessities to sustain life. Prior researches conducted on the perception of people on the effects of poverty towards urban socio-economic development were insufficient in Ethiopia. Thus, the objectives of the study were to assess the effects of poverty on urban economic, education and healthcare development, and to examine the effects of poverty on women economic development in Ambo town. The research was a qualitative research, used primary data collected through key informant interview selected purposively from experienced persons residing in Ambo town. The data was analyzed using thematic method of analysis. The study indicated that poverty is highly prevalent in Ambo town mainly due to poor governance, corruption, poor investment flow, lack of political will from the government and political instability. The education and health care infrastructures were expanding in the town in the last decade but there were limitations in quality and service provision. Poverty has negatively affected poor people livelihoods in income generation, and medical as well as educational services in Ambo town. Women poverty in Ambo is higher than men and a significant number of women were living in destitution. Many women in Ambo town were economically dependent on men.