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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.

With time, the use of Information and communication technology (ICT) tools has gained immense awareness in many sectors. ICT plays an imperative role in enhancing socio-economic development and sustainability in the fishery sector. The purpose of this paper is to highlight the two significant benefits of ICT in the fishing industry: (i) socio-economic development and (ii) sustainability. The paper intends to highlight the benefits of using ICT in fisheries for sustainability in the long-run and enhanced socio-economic conditions of fishers. The present research work has used the bibliometric visualization tool VOSviewer to identify yearly publications, most cited papers and journals, outstanding authors, and important countries and institutions. We have used the Scopus database to extract the data for bibliometric visualization utilizing an array of relevant keywords. Following are the research questions: (i) What are the prominent documents, authors, countries, sources, organizations, and keywords in the area of ICT for sustainability and socio-economic development in the fisheries?, (ii) What are the linkages based on co-authorship, co-occurrence and citation in the area of ICT for sustainability and socio-economic development in the fisheries? (iii) What is the existing classification of the literature on ICT for sustainability and socio-economic development in the fisheries, and what is the future research agenda based on it? The paper presents a comprehensive review of ICT usage for sustainability and socio-economic development in fisheries. It analyzes the existing research in terms of most cited publications, authors, journals, countries, and institutions. Four research streams are identified, and based on them, twelve future research propositions and a future research framework are proposed. The study can be used as a foundation work by the government, policy developers, and researchers to investigate the benefits of ICT in fisheries. The application of ICTs in fisheries will enhance their profitability and minimize resources wastage, strengthening fishermen’s income, and standard of living. The paper comprehensively presents the use of ICT in fisheries for sustainability and socio-economic development. Along with it, the paper proposes future research agenda for upcoming researchers.

The article is devoted to the study of diagnostics of resource potential of regions using digital data processing tools. The integration of digital tools into regional management systems contributes to the accelerated determination of resource potential to justify management decisions. The aim of the study is to develop digital algorithms that include economic mechanisms for analyzing resource potential. The article analyzes the tools for diagnosing the resource potential of regions and proposes a digital algorithm based on the Python programming language. The application of the digital algorithm allows optimizing the monitoring of the resource potential of regions, as well as accelerating and increasing the accuracy of its determination taking into account the factors of resource formation. The significance of the application of digital tools for the algorithmic approach lies in the possibility of analyzing economic data on the resource potential of regions for the implementation of strategies for their socio-economic development. Obtaining objective data and their adjustment allows increasing the efficiency of management at the mesoand macro-level. The results of the study can be used to modernize strategic development plans by adjusting the models of resource potential management by the region.

Calibrating socio-economic development is indispensable for evaluating a country's progress and identifying areas for improvement. This study aims to establish a measuring scale for evaluating the various socio-economic development indicators of rural households. The methodology involved critical examination of existing literature and in-depth interviews with subject experts and respondents to identify different constructs and measurement scales. The indicators of socio-economic development included social, economic, political, physical assets, health, employment, education, and financial aspects. The indicators' content, convergent, discriminant, construct validity, EFA, and CFA were examined. Some constructs required additional items, which were obtained through in-depth interviews. Despite the range of indicators and measurement tools available such as HDI, MPI, and others, still there is a need for a comprehensive set and overall picture of the SED scale. The developed measurement scale is felicitous to assess the socio-economic development of rural communities in longitudinal studies and to quantify the impact of various independent factors such as rural development programs, financial literacy, financial inclusion, community services, and CSR activities on the SED of rural population. This scale may help government surveys evaluate the state of rural areas now and execute the necessary policy changes for long-term prosperity and regional growth.

While the coronavirus was a global health crisis, it also generated enormous socio-economic challenges such as trading, buying and selling, socio-economic meltdown, health sector breakdown, poor housing facilities, poverty, unemployment, low income, inequality, and epileptic power supply, amongst others, in developing countries like Nigeria. This paper interrogates the political economy of the coronavirus pandemic (COVID-19) on socio-economic development in Nigeria from 2019-2022. The paper relied on qualitative methods using documentary research methods (analysis of secondary data from Nigeria's Bureau of Statistics, the Central Bank of Nigeria, the NCDC report, the World Bank/IMF post-COVID-19 report, ECOWAS, the AU, WHO reports, and reputable journals). Findings revealed, among others, that Nigeria, being a revenue economy, suffered greatly from COVID-19 because it affected the economy's development, diaspora remittance, and the health status of the nation due to the fall in oil prices, the shutdown of businesses, and the inflation of goods and services. On the positive side, the coronavirus-induced public health crisis provided a chance for many state governments to implement long-term public health reforms. The paper recommends, among other things, that the government intensify tremendous efforts to get support for strengthening production in the manufacturing industries as a way of implementing a post-COVID-19 economic recovery strategy. The Federal and State governments of Nigeria (ministry of health, budget and planning, EFCC/ICPC, and the National Assembly) need a paradigm shift from traditionalism (corruption and embesslement of public funds) to modernity (technologically driven society, accountability, transparency, investment in human capital development, diversification of the economy, investment in the health sector, and advancement in technology in tertiary institutions). There is a lot more that can be learned about how COVID-19 affected Nigeria's socioeconomic development from the research in this paper. The study shows the many problems the country is facing by looking into specific issues like how the problems affect the economy, how many jobs are lost, how incomes are uneven, and how hard it is on the healthcare and education systems. This study is especially useful for larger projects or issues that are interested in responding to and recovering from pandemics. It gives useful information that can help policymakers, government agencies, and international groups come up with plans to lessen the pandemic's effects on society and the economy. However, the results give a more complex picture of how weak Nigeria's economic and social systems are, showing precisely what needs to be fixed. The COVID-19 pandemic and aftermath have had a huge effect on Nigeria's socioeconomic growth, affecting many parts of the country's economy and society. One of the biggest problems has been the disruption of the economy, which has caused people to lose their jobs and see big differences in their incomes. Due to lockdowns, many companies, especially small and medium-sized ones, had to close or cut back on their hours, which hurt people's ability to make a living and made poverty worse. Nigeria's healthcare infrastructure was already weak, but the pandemic made it even weaker, making it harder to respond effectively to the health problem. The stress on healthcare systems has not only caused more deaths linked to COVID-19, but it has also taken resources away from other health problems, which has made the overall effect on public health worse. Also, there were problems in conditional cash transfers or remittances from the diaspora to Nigeria. the education industry because schools had to close to stop the virus from spreading. Because not all students have the same access to online learning tools, this break in learning could make educational gaps bigger, as some tertiary institutions are still struggling to balance the academic calendar to cope with newly admitted students in 2019-2020 and 2020-2023. On the plus side, the pandemic made people more aware of how important it is for countries to be diverse and strong. It showed how important it is to put money into social safety nets, healthcare, and technology to prepare for future shocks. The Nigerian government's reaction, which includes economic recovery plans and stimulus packages, shows that they are trying to deal with the many problems that the pandemic has caused and build a stronger and more inclusive social and economic landscape.

Recent years have witnessed rapid and widespread economic growth in regions involved in China’s Belt and Road Initiative (BRI), mainly due to the construction of six economic corridors. This paper aims to quantify the levels of six economic corridors according to the socioeconomic development levels in the BRI regions. Here, a gridded socioeconomic development index was first created, and a dividing line was drawn to reveal the distribution characteristics of socioeconomic development in the BRI regions. A classification method was then applied to identify local development levels. Finally, we created an economic corridor development index (ECDI) to evaluate the progress of six economic corridors. The results reveal spatial heterogeneity within the socioeconomic groups of BRI regions, which can be roughly divided into offshore (or Part A, 50.54%) and inland (or Part B, 49.46%) areas. Although both parts comprise roughly the same area, over 95% of the population is located in offshore regions. The China-Mongolia-Russia Economic Corridor has the highest development index due to a stable political environment and long-running cooperation. The China-Pakistan Economic Corridor suffers from the lowest ECDI but with strong development potential. Our methods can provide critical reference and practice for the future evaluation of the level of regional development. The results of this study can offer policymakers some insight into reducing socioeconomic inequality in the BRI regions.

PurposeThe study contributes to the aim of regional development policy in reducing regional disparities, by examining the spatial balance in socioeconomic development across the states of Malaysia based on composite development index (CDI). Besides, the study has attempted to understand the issues in the development gaps across Malaysian states by evaluating the factors that explain the variation in economic growthDesign/methodology/approachThis study uses three-stage least squares (3SLS) and bootstrap sampling and estimation techniques to examine the factors that explain the variations in the growth of development across the states in Malaysia. The analysis involves 13 states in Malaysia (Johor, Melaka, Negeri Sembilan, Pulau Pinang, Perak, Perlis, Selangor, Kedah, Kelantan, Pahang, Terengganu, Sabah and Sarawak) from 2005 to 2015.FindingsThe pattern in the spatial socioeconomic imbalance demonstrates a decreasing trend. However, the development index reveals that the performance of less developed states remained behind that of the developed states. The significant factors in explaining the variation in growth across the Malaysian states are relating to agriculture, manufacturing, human capital, population growth, Chinese ethnicity, institutional factors and natural resources.Research limitations/implicationsThe authors focused on Malaysian states over the period between 2005 and 2015. The authors encountered some limitations in obtaining relevant data such as international factors and technological change that might also explain the variation in economic growth as the data on these variables are not reported at the state level. Moreover, the data on GSDP by sector was only available from the year 2005. Second, the study is based on secondary data. Future studies might examine the factors that contribute to the development gap across Malaysian states through interviews or questionnaires and compare the findings with the existing results. Despite its limitations, this study contributes to the existing literature that emphasizes on spatial balance of socioeconomic in a developing country, focusing on Malaysian states.Practical implicationsThese findings provide guidance for policymakers by understanding key potential areas to reduce the disparity in economic growth across Malaysian states by understanding their impact on the growth.Originality/valueThis study employs different method of 3SLS and bootstrap sampling and estimation techniques in examining the factors that explain the variations in the growth of development across the states in Malaysia.

Individualism appears to have increased over the past several decades, yet most research documenting this shift has been limited to the study of a handful of highly developed countries. Is the world becoming more individualist as a whole? If so, why? To answer these questions, we examined 51 years of data on individualist practices and values across 78 countries. Our findings suggest that individualism is indeed rising in most of the societies we tested. Despite dramatic shifts toward greater individualism around the world, however, cultural differences remain sizable. Moreover, cultural differences are primarily linked to changes in socioeconomic development, and to a lesser extent to shifts in pathogen prevalence and disaster frequency.

The paper aims to explore the possible determinants of declining child sex ratio (CSR) in India across 32 state and UTs over time (viz. 1971–2011). The spatial panel data regression results are assumed to be better compared to simple panel because the CSR is very much influenced by space and neighbouring state’ CSR. This is confirmed by both global (and local Moran Index) in one hand and the Hausman test (fixed vs. random effect) on the other hand. The spatial panel regression results show that income and CSR are nonlinear with U-shaped pattern; the other socio-economic variables like female literacy rate, urbanization, poverty and female work participation do not appear to be significant. The state sharing higher concentration of scheduled tribe community positively improve CSR in all the spatial regression models; the opposite happens in case of scheduled caste dominated state. Our spatial panel regression findings contradict earlier findings of the determinants of CSR in case of income and female literacy. The U-shaped relationship between income and CSR does have some policy relevance; income of any state may go up due to various factors. If we argue in the context of female labour force participation, we find that the female work force participation is found to be stagnant, and even in some state it is declining over the decades. Therefore, female employment directly augments female autonomy as well as empowerment, which indirectly increases income and thereby a state may cross that cut-off level of income and may experience higher CSR.