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The purpose of the study is to analyze changes in land use, specifically residential area expansion, in South Tangerang City and identify the factors that influence land use change.

The study used remote sensing methods in ArcGIS 10.8 for data analysis and processing, including spatial analysis and identification of land use changes. The study analyzed satellite images from 2010 and 2020 to identify changes in land use in South Tangerang City over the ten-year period.

The study found that the most significant land use changes in South Tangerang City between 2010 and 2020 were the reduction of mixed plantation area and the expansion of residential areas. The study identified the development of small townships by private developers as the main factor that influenced land use change in South Tangerang City.

The study has several limitations, including a focus on only one aspect of land use change (i.e. residential area expansion), limited scope of the study area (South Tangerang City) and a reliance on remote sensing methods for data analysis.

The findings of the study can be used by policymakers and city planners to develop sustainable land use planning strategies that balance the need for urban development with environmental and social concerns. By understanding the factors that drive land use changes in South Tangerang City, policymakers can develop policies that encourage sustainable urban growth and development while preserving natural resources and protecting the environment.

The study has social implications as the expansion of residential areas in South Tangerang City indicates a growing demand for housing in the area. The study highlights the importance of developing affordable and sustainable housing solutions to meet the needs of the growing population in South Tangerang City. Additionally, the study emphasizes the importance of understanding the social and economic factors that drive land use change and their implications for the well-being of local communities.

The residential area development in South Tangerang City is driven by private developers who make small independent cities that have all facilities in one area. These small cities attract people to reside and also drive high population growth in South Tangerang City, considering it is a buffer city of Jakarta that has good infrastructure development.

Since 2017, China's digital economy has accounted for more than 30% of the country's GDP. The digital economy has become the main driving force of China's economic development. Moreover, the digital economy has also changed the traditional modes of production and distribution between urban and rural areas. This paper aims to explore the influential mechanism of digital economy infrastructure (DEI) on the urban-rural income gap (URIG).

By analyzing the theoretical model of the URIG, this paper constructs a theoretical analysis framework and clarifies the key roles of rural land circulation (RLC) and resident population urbanization (RPU) in the relationship between DEI and the URIG.

The DEI can effectively reduce the URIG; the regression coefficient (RC) was −0.109. The reduction effect is mainly reflected in: 1) the wage income gap between urban and rural residents (RC = −0.128) and 2) the net property income gap of urban and rural residents (RC = −0.321). Also, for the spatial spillover effect, the path effect of “DEI – RLC – URIG” is almost equal to the path effect of “DEI – RPU – URIG”; for the local effect, the path effect of the former is far smaller than the latter. Moreover, when the RPU reaches the threshold of 86.29%, the DEI will expand the URIG (RC = 0.201).

This paper proposes a theoretical framework for the impact of DEI on the URIG, explores the mechanism of RLC and RPU in the DEI and URIG and enriches the theory of traditional research on URIG.

This paper aims to determine whether local governments (LGs) use non-consolidated municipally owned companies (MOCs), excluded from public sector entities and, consequently, from sub-national debt to avoid fiscal debt limits. This paper contributes to the literature by analysing the fiscal debt rule’s impact on the off-budget municipal activities in total and separate in different types of local government units.

This paper uses difference-in-differences and the system general method of moments model with the Blundell–Bond estimator for dynamic panel data analysis of MOCs owned by 866 Polish municipalities in 2010–2018.

This paper shows that the MOCs’ revenues support limited local public debt capacity by indebtedness restrictions imposed on municipalities in 2014. As a result, less indebted municipalities have higher off-budget revenues. The tightening of fiscal rules related to sub-sovereign indebtedness increased off-budget activities, but that effect is much stronger in rural and rural–urban municipalities than in urban municipalities and big cities.

This paper contributes to the literature by exploring the fiscal debt rule’s impact on the off-budget municipal activities in total and separate in different types of local government units. In this paper, the authors combine theories relating to private and public finance; this is a novel approach and one that is also necessary – as, in fact, the worlds of public and private actors intersect – as exemplified by the existence of MOC.

Rural regions in Canada are aging faster than urban centers, but access to health and social care is limited. Integrated health and social care (IHSC) through collaboration across different health and social care organizations can support enhanced care for older adults living in rural regions. However, IHSC is not well understood within a rural Canadian context.

A case study of a Canadian IHSC initiative, Geriatric Assessment Program Collaboratory (GAPC), in northern Alberta was undertaken to understand how successful IHSC can occur in an urban/rural region. The study used key informant interviews and a focus group of representatives from the GAPC organizations.

Nine factors were identified that support GAPC: communications, information sharing, shared vision and goals, inter-organizational culture, diffused leadership, team-based approaches, dedicated resources, role clarity, champions and pre-existing relationships. Eight external influence factors were identified as influencing partnership including geography, strong sense of community, inter-sectoral work, public policy, governance authorities and structures, funding models, aging communities and operating within a not-for-profit (NFP) setting.

The study reveals insights into how IHSC can occur within a rural Canadian context. This study demonstrates that IHSC occurs at the local level and that primary care providers can drive IHSC successfully.

The purpose of this study is to examine whether PV uptake is associated with key housing market determinants and linked to socio-economic profiles. An abundance of extant literature has examined the role of solar photovoltaic (PV) adoption and user costs, with an emerging corpus of literature investigating the role of the determinants of PV uptake, particularly in relation to the built environment and the spatial variation of PV dependency and dissimilarity. Despite this burgeoning literature, there remains limited insights from the UK perspective on housing market characteristics driving PV adoption and in relation spatial differences and heterogeneity that may exist.

Applying micro-based data at the Super Output Area-level geography, this study develops a series of ordinary least squares, spatial econometric models and a logistic regression analysis to examine built environment, housing tenure and deprivation attributes on PV adoption at the regional level in Northern Ireland, UK.

The findings emerging from the research reveal the presence of some spatial clustering and PV diffusion, in line with several existing studies. The findings demonstrate that an urban-rural dichotomy exists seemingly driven by social interaction and peer effects which has a profound impact on the likelihood of PV adoption. Further, the results exhibit tenure composition and “economic status” to be significant and important determinants of PV diffusion and uptake.

Housing market characteristics such as tenure composition across local market structures remain under-researched in relation to renewable energy uptake and adoption. This study examines the role of housing market attributes relative to socio-economic standing for adopting renewable energy.

This study aims to investigate consumers’ construction of food localness through the politics of belonging in a regional context.

Following a socio-spatial lens and considering the “realm of meaning” of place, this research focusses on local consumers’ lived meanings of “local” food choice, and hence adopts a phenomenological approach to the data collection and analysis of 20 in-depth interviews with residents of the Italian region of Marche.

Drawing on Trudeau’s (2006) politics of belonging, this study reveals three interconnected themes which show how local consumers articulate a local food “orthodoxy” and how their discourses and practices draw and maintain a boundary between local and non-local food, whereby local food is considered “autochthonous” of rural space. Thus, this study’s participants construct a local food landscape, conveying rural (vs urban) meanings through which food acquires “localness” (vs non-“localness”) status.

There exists further theoretical opportunity to consider local consumers’ construction of food localness through the politics of belonging in terms of non-representational theory (Thrift, 2008), to help reveal added nuances to the construction of food localness as well as to the complex process of formulating place meaning.

The findings provide considerable scope for food producers, manufacturers and/or marketers to differentiate local food products by enhancing consumers’ direct experience of it in relation to rural space. Thus, enabling local food producers to convey rural (vs urban) meanings to consumers, who would develop an orthodoxy guiding future choice.

The findings enable regional promoters and food policymakers to leverage the symbolic distinctiveness of food autochthony to promote place and encourage consumers to participate in their local food system.

By using the politics of belonging as an analytical framework, this study shows that the urban–rural dichotomy – rather than being an obsolete epistemological category – fuels politics of belonging dynamics, and that local food consumers socially construct food localness not merely as a romanticisation of rurality but as a territorial expression of the contemporary local/non-local cultural conflict implied in the politics of belonging. Thus, this study advances our theoretical understanding by demonstrating that food “becomes” local and therefore, builds on extant food localness conceptualisations.

The purpose of this study is to examine the key research question, which is whether fintech innovation for financial inclusion has been successful in India? As fintech has been popular in many countries, there is very little understanding on how successful it has performed in India for financial inclusion. This research attempts to ravel important factors that may or may not have a direct or indirect impact on fintech innovation for financial inclusion, thereby dissecting the empirical data to reveal important information for the reader.

This study covers a comprehensive literature review, from which key variables are discovered, then develops hypotheses to be examined, followed by proposing a research model. The survey data examines important research instruments for fintech inclusion in India, identifying and measuring factors, leading to partial least squares (PLS) model testing. Finally, the key findings are reported.

The findings reveal that fintech innovation from variables such as users experience and motivation for digital payments drives usefulness and ease of use leading to financial inclusion. The security, trust, transparency and customer support when built into the fintech innovation for digital payments influences perceived ease of use (PEOU) and usefulness that mediates to uplift financial inclusion directly. Whereas perceived usefulness (PU) anchoring happens to be a precursor for the financial inclusion. On the contrary, cultural values for fintech innovation through PEOU and usefulness had no impact whatsoever on financial inclusion, thus demystifying cultural influences as non-influential factor.

Research limitations are that the study was conducted in India, and may not be generalised in other countries; however, it can be modified to fit future research. Survey data captured was from a particular region of South India, which may differ from the rest of the country. The sample size and research period were adequate; however, larger data sets would be more meaningful for longitudinal studies. As India is the second most populous country in the world, a comparison with other similar countries of the same size and geographical location will be useful for future research.

This research reveals that financial inclusion is much more complex than previously known and that the penetration of fintech has the capacity to go deeper and include a large number of people into the mainstream financial system and ameliorate the inequities in urban-rural gender and caste. The user’s experience, culture and motivations positively influenced the usefulness and ease of use for driving the financial inclusion of digital payments. Further security, trust, transparency and customer support can facilitate the use of central bank digital currency (CBDC) as a tool for financial inclusion.

Fintech innovation for financial inclusion is based on the successful acceptance of the digital payment system by people in the society. This research has identified that for any fintech innovation, it is essential that society needs to benefit from it. Encouraging a larger population to switch to digital payments offer challenges and opportunities. While the opportunities are enormous research suggests that early adopters of new technology go through different phases of testing, in which a society can completely accept an innovation or can completely reject an innovation if the two mediating factors such as PU and ease of use do not perform as predicted, thus having a higher failure rate. On the other side, if such an innovation as fintech becomes successful it has the capacity to bring billions of people into mainstream financial inclusion, a success story that can greatly benefit the Indian society and which can be replicated among other countries in the world.

To the best of the authors’ knowledge, this study is the first attempt in an effort to understand the influential factors from the point of view of users for the adoption of CBDC for financial inclusion. The main contribution of this paper is to examine the role of CBDC as an instrument to foster financial inclusion in India, which has not been attempted so far. The originality also lies to the heart of the research is dissecting and making meaningful sense of the empirical data, developing and measuring research instruments and hypotheses and finally adopting a PLS model to answer the key research question, which is whether fintech innovation for financial inclusion can be successful for India?

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study investigates the factors influencing household financial choices in Malawi. The authors also compare how household financial decisions differ in urban and rural areas.

The authors utilize the logit model to examine the factors that influence household financial decisions using the Malawi Integrated Household Survey 2019–20, while Oaxaca–Blinder decomposition is used to estimate the variations in household financial decisions between urban and rural areas.

The authors find that the likelihood of saving increases with income, secondary and tertiary education, and age. The likelihood of saving also decreases with household size and remittances. Additionally, the authors report that marriage reduces the likelihood of loans, whereas sex, age, and income raise the likelihood of loans. According to this study’s findings, income discrepancies between urban and rural samples account for most observed household financial variations. The authors also find that most of the observed variations in household financial decision-making between urban and rural households are reduced when income equality, participation in agriculture, university education, and household size are considered.

Using data from the Malawi Integrated Household Survey 2019–20, this research analyzes the components that affect household financial decisions. While most studies only look at one component of household finances, this study concurrently addresses debt and savings. The study also evaluates whether changes in the variables between urban and rural households impact those households' financing choices.

This paper aims to conduct research to examine the impact of Internet adoption on the productivity of firms in non-urban China.

The study investigates the impact of Internet adoption on firms' productivity in non-urban China. More specifically, the authors conduct a comprehensive and rigorous study while addressing concerns related to firm-level endogeneity by utilizing firm-level panel data. Information on firms in non-urban areas is collected from China's Annual Surveys of Industrial Firm data. For robustness, the authors implement the instrumental variables approach and propensity score matching estimations to strengthen the evidence for suggestive causal inference. Furthermore, the authors also examine the mechanisms and group heterogeneity.

Evidence indicate that the adoption of Internet technology positively impacts the total factor productivity (TFP) of firms in non-urban areas. According to the heterogeneity analysis, the marginal effect of Internet adoption is more significant and pronounced for labor-intensive, private and small-scale manufacturing firms. Moreover, additional evidence suggest that Internet adoption is beneficial for non-urban firms in expanding their business and enlarging their market. It has also been found that the positive effect of Internet adoption on firms' TFP is amplified by expanding public infrastructure.

The current study supports that the informatization strategy benefits non-urban firms and promotes rural revitalization. The findings suggest the possibility of firms borrowing market size from the closest cities and supporting the ongoing policies of investing in broadband infrastructure to narrow the urban-rural digital gap in China.