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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.

Purpose – The purpose of this research is to to determine the value of land erodibility in Krueng Seulimum watershed.

Design/Methodology/Approach – This research apply survey method and field measurement that begins with making land unit map.

Findings – The results showed that Krueng Seulimum watershed consisted of 22 units of land (LU). The value of land erodibility in secondary forest land use is low, i.e., 0.13–0.19 (LU 13 and 22), the value of land erodibility in grazing lands land use is medium, i.e., 0.31–0.32 (LU 9 and 11 ), the value of land erodibility in scrub lands land use is rather high, i.e., 0.33–0.35 (LU 2, 6, 12, 15, and 19) and the value of land erodibility in dry land agriculture land use is medium – rather high, i.e., 0.28–0.35 (LU 3, 7, 10, and 16).

Research Limitations/Implications – The land use directions for scrub lands is for cocoa-based mixed crops, such as cocoa monoculture, cocoa + areca nut, and cocoa +banana.

Practical Implications – The use of dry land agriculture is maintained for land use coupled with agrotechnology action that is guludan terrace plus mulsa application.

Originality/Value – Most of the soil in the Krueng Seulimum watershed has very low soil fertility level that affects nutrient availability plant. These characteristics should be considered in the direction of land use in the Krueng Seulimum watershed.

This paper aims to assess the rate and land category contributing to the changes in seven land-uses in the Kintampo North Municipality of Ghana and the effect of the decisions of land users on future landscapes.

LANDSAT images were classified to generate land use/cover maps to detect changes that had occurred between 1986 and 2014. In total, 120 farmers were also interviewed to determine their perceptions on land use changes. Interval, category and transition levels of changes were determined. Savanna woodland, settlement and forest were mostly converted to farmland in both intervals (1986-2001 and 2001-2014).

Results showed that rock outcrop, plantation, cropland and savanna woodland increased at an annual rate of 13.86, 1.57, 0.82 and 0.33 per cent, respectively, whilst forest, settlement and water body decreased at 4.90, 1.84 and 1.17 per cent annual rate of change, respectively. Approximately, 74 per cent of farmers will not change land use in the future, while 84.2 per cent plan to increase farm sizes.

The study shows that more land cover will be targeted for conversion as farmers expand their farmlands. There is the need for strict implementation of appropriate land use/cover policies to sustain food production in the region in this era of changing climate and population increase.

This research assessed the land use changes in the Kintampo North Municipality and its impacts on agriculture and carbon stocks release via land use changes. It identified how the decisions of the local farmers on land management will affect future landscape.

This paper aims to assess the current and future dynamics of land cover transitions and analyze the vegetation conditions in Abuja city since its establishment as the capital of Nigeria in 1991.

A random forest classifier embedded in the Google Earth Engine platform was used to classify Landsat imagery for the years 1990, 2001, 2014 and 2020. A post-classification comparison was used to detect the dynamics of land cover transitions. A hybrid simulation model that comprised cellular automata and Markovian was used to model the probable scenario of land cover changes for 2050. The trend of Normalized Difference Vegetation Index was examined using Mann–Kendall and Theil Sen’s from 2014 to 2022. Nighttime band data from the National Oceanic and Atmospheric Administration were obtained to analyze the trend of urbanization from 2014 to 2022.

The findings show that built-up areas increased by 40%, while vegetation, bare land and agricultural land decreased by 27%, 7% and 8%, respectively. Vegetation had the highest declining rate at 3.15% per annum. Built-up areas are expected to increase by 17.1% between 2020 and 2050 in contrast with other land cover. The proportion of areas with moderate vegetation improvement is estimated to be 15.10%, while the proportion of areas with no significant change was 38.10%. The overall proportion of degraded areas stands at 46.8% due to urbanization.

The findings provide a comprehensive insight into the dynamics of land cover transitions and vegetation variability induced by rapid urbanization in Abuja city, Nigeria. In addition, the findings provide valuable insights for policymakers and urban planners to develop a sustainable land use policy that promotes inclusivity, safety and resilience.

This study aims to investigate whether the participation in land rental markets helps to mitigate impacts by climate change on multidimensional poverty in Thailand and Vietnam.

The authors use precipitation data from the National Aeronautics and Space Administration (NASA) and self-reported shocks from the Thailand Vietnam Socio-Economic Panel (TVSEP) project to estimate climate change. Data from the TVSEP are also used to calculate a multidimensional poverty index (MPI). Fixed-effect logit panel regressions with interaction terms are implemented to analyze the above mentioned.

The results show that land rental markets are used as mitigation strategies to climate change in Thailand and Vietnam. The participation in land rental markets also reduces multidimensional poverty. However, as a mitigation strategy, land rental markets are only successful in certain circumstances.

The results show that there is potential in using land rental markets as mitigation strategies to climate change. Further research is needed to better understand which adaptation strategies, besides land rental market participation, and which combinations of different adaptation strategies are successful to mitigate negative effects induced by climate change.

The results show that there is potential in using land rental markets as mitigation strategies to climate change. Therefore, education in the participation in land rental markets and how to use them as a mitigation strategy can be a way to increase households' resilience to negative effects induced by climate change. Households make better decisions regarding their land when they are better informed on the functionality of land rental markets. Additionally, being better informed increases self-confidence to participate in land-rental markets.

Land rental markets as a mitigation strategy to climate change rarely have been studied, and if so, mainly the effect of leasing land has been studied. Additionally, the authors implement new measures of poverty – a multidimensional view on poverty which provides new insights into who are the poor and how they can be lift out of poverty.

The purpose of this paper is to provide the extensive review on dynamic monitoring of forestry area in China.

Countermeasure and suggestions were proposed for three aspects including the establishment of data sets with unified standards, top-level design of monitoring and assessment and analysis models, and establishment of the decision support platform with multiple scenario simulation.

Finally, the authors proposed key research area in this field, i.e., improving the systematic and optimal forest management through integrating and improving the data, models and simulation platforms and coupling the data integration system, assessment system and decision support system.

The authors explored the limitation of dynamic monitoring and state of the art research on data accumulation, professional model development and the analytical platform.

As a crucial institutional form established since the Chinese economic reform, the system of competitive local governments has been shaping the characteristics of China's socialist market economy to a considerable degree.

This study not only adopts the view of existing studies that attribute the economic motive of local governments to rent and consider land public finance as a means through which local governments carry out strategic investment but also attempts to further develop the view within a Marxist analytical framework.

As a result, the local governments have helped to maintain an incredibly high investment rate over a considerable period of time, facilitating the continuous, rapid growth of the Chinese economy.

This study concludes that China's local governments function as the productive allocator and user of rent in the strategic investment based on land public finance and thereby embed themselves in the relative surplus-value production initially arising from competition amongst enterprises, forming the dual structure of relative surplus-value production unique to China's economy.

Studies on land acquisition (LA) and recovery simulations have garnered considerable attention amidst climate change. Previous literature has reported that LA and relocation contribute to reducing repetitive disaster losses or downzoning (limiting development). However, studies on decision-making about resettlement or relocation for landowners or decision-makers for disaster-impacted lands are limited. This study aims to qualitatively illustrate LA program schemes for recovery, and identify the underlying concepts of LA in Italy, the United States and Japan. By doing so, this study contributes to construction of future agent-based recovery simulations.

This study seeks to identify a variety of LA models in different contexts to provide input for future works. This study employed multiple case studies to explore common and contrasting results, and identify varied LA concepts. The methodology involved a literature review, including official reports, to examine the timeframes of LA projects qualitatively, complemented using aerial photos to confirm related land use changes pre- and post-LA.

The results indicate that buyout programs in the United States enhance renaturalization in flood-prone areas as a downzoning approach. In contrast, LA in Japan focuses on the continuation of communities or neighborhoods through the recovery and relocation process. In Italy, LA is used to contribute to supporting the tradition/legacy of historic housing and facilities for post-disaster temporary dwellings, reflecting an underlying concept of “tradition and legacy.”

This comparative study fills a research gap by focusing on LA concepts, and its novelty lies in finding the underlying concepts of LA in three countries. Through international comparison, it suggests that LA in Japan could incorporate conservation of the historical town center or the opportunity for downzoning.

The purpose of this paper is to quantify to what extent the housing bubble in the early-to-mid 2000s in Spain exacerbated land planning corruption among Spain’s largest municipalities.

The authors exploit plausibly exogenous variation in housing prices induced by changes in local mortgage market conditions; namely, the rapid expansion of savings banks (Cajas de Ahorros). Accounting for electoral competition in the 2003–2007 and 2007–2009 electoral cycles among Spanish municipalities larger than 25,000 inhabitants, the authors estimate a positive relationship between housing prices and land planning corruption in municipalities with variation in savings bank establishments using instrumental variables techniques.

A 1% increase in housing prices leads to a 3.9% points increase in the probability of land planning corruption. Moreover, absolute majority governments (not needing other parties’ support) are more susceptible to the incidence of corruption than non-majority ones. Two policy implications to address corruption emerge: enhance electoral competition and increase scrutiny over land planning decisions in sparsely populated.

First empirical evidence of a formal link between the 2000s housing bubble in Spain and land planning corruption.

The administration of a country's land system has a major impact on its economy and society. Digital land management has the potential to improve the land administration of developing countries and make it more efficient. The governments of Bangladesh and Indonesia have implemented a digital land management framework in the land system to ensure optimal land development, in particular, to deliver land services efficiently. The land offices of both countries have a variety of obstacles when it comes to delivering digital services. Because of this, it is important to recognize the current use of digitalization and identify the variables influencing digitalization in land service delivery by land offices in order to make informed decisions about their future. Content analysis was applied to gather data for the study, which used a qualitative approach. The correct deployment of digitization in land administration in both nations is being slowed down by a lack of institutional and operational capability and personnel misconduct in service delivery.