Formulation Of Development Policies Research Articles

A Novel Multi-Factor Three-Step Feature Selection and Deep Learning Framework for Regional GDP Prediction: Evidence from China

Gross domestic product (GDP) is an important index reflecting the economic development of a region. Accurate GDP prediction of developing regions can provide technical support for sustainable urban development and economic policy formulation. In this paper, a novel multi-factor three-step feature selection and deep learning framework are proposed for regional GDP prediction. The core modeling process is mainly composed of the following three steps: In Step I, the feature crossing algorithm is used to deeply excavate hidden feature information of original datasets and fully extract key information. In Step II, BorutaRF and Q-learning algorithms analyze the deep correlation between extracted features and targets from two different perspectives and determine the features with the highest quality. In Step III, selected features are used as the input of TCN (Temporal convolutional network) to build a GDP prediction model and obtain final prediction results. Based on the experimental analysis of three datasets, the following conclusions can be drawn: (1) The proposed three-stage feature selection method effectively improves the prediction accuracy of TCN by more than 10%. (2) The proposed GDP prediction framework proposed in the paper has achieved better forecasting performance than 14 benchmark models. In addition, the MAPE values of the models are lower than 5% in all cases.

Spatio-temporal evolution of urban built-up areas and analysis of driving factors —A comparison of typical cities in north and south China

Urban expansion is an important manifestation of urbanisation. Based on the impervious surface aggregation density (ISAD) method, this study extracts the urban built-up areas (UBA) range of 12 major cities in the north and south of China from 1995 to 2015. Comprehensive use of the urban centre of gravity, fractal dimension, compactness, urban spatial morphological expansion mode, urban expansion speed, and other indicators was applied to explore the spatio-temporal evolution characteristics of urban expansion. The statistical method GeoDectector (GD) was used to analyse the impact of economic, transportation, natural environment, and social factors on urban expansion. Results show that the 12 cities were shown to have different expansion characteristics and spatio-temporal evolution characteristics. Most northern cities had single-core expansion, while most southern cities had multi-core expansion. Most of the spatial forms of cities tended to be discretized, and the urban expansion process of southern cities was obviously more rapid than that of northern cities. GeoDectector revealed that urban expansion in both the north and south was mainly related to population and economy. Social factors explain the expansion of southern cities, and while the intensity was stronger than that of the northern cities, the natural factors were opposite, and the traffic factors were not significantly different. This analysis confirms the differences in economic development between the north and south of China and provides a scientific reference for the formulation of national-scale urban development policies. In the context of global urbanisation, the results from this study will provide a Chinese sample for understanding the temporal and spatial characteristics of urban expansion, which can serve as a good reference value for other countries and regions worldwide, especially for urbanisation research in developing countries.

The Impact of Foreign Trade and Urbanization on Poverty Reduction: Empirical Evidence from China

Poverty eradication is a worldwide development challenge, and China’s poverty reduction experience, evident in its sustainable development strategy, is receiving increasing attention. China has achieved high economic growth and success in poverty reduction over the past 40 years, since its reform and opening up. China’s experience can provide lessons for other countries, however, the situation of poverty in China is still severe, and the remaining people experiencing that condition have long been in a state where income poverty, capability poverty, and intergenerational transfer of poverty coexist. This requires systematic poverty reduction in multiple fields such as the following: population, production, consumption, capital, technology, finance and taxation, education, health care and environment. Foreign trade and urbanization are the best ways to implement poverty reduction. Despite the fruitful results of international studies, the impact of foreign trade, urbanization and their synergistic effects on poverty reduction have not been fully considered. Therefore, by selecting, as panel data, the urbanization rate, foreign trade dependence, and multiple dimensions of poverty indicators of different provinces in China from 2000 to 2017, this paper establishes regression models to study the poverty reduction effects of urban and rural areas. This is accomplished by focusing on three dimensions: poverty gap; income level and gap; and the numbers of under-insurance and guaranteed expenditure, in terms of both imports and exports, respectively. The paper not only considers the synergistic effects of foreign trade and urbanization on poverty reduction, but also investigates the heterogeneity of poverty reduction effects between urban and rural areas. The research results can be applied not only to poverty reduction policy formulation in China, but they can also provide empirical lessons for other developing countries with large urban-rural disparities. Therefore, the study has important implications for both poverty reduction theory development and poverty reduction policy formulation.

Characterising Land Cover Change in Brunei Darussalam’s Capital District

In fast-developing regions like Southeast Asia monitoring urban areas presents a challenge given the lack of publicly available data. This is an issue that precludes the nuances of a city’s growth and undermines the way land use is considered with respect to planning. The issue of data availability is very much present in the small nation of Brunei. Little is still known about the spatiotemporal evolution of its urban realm in particular, with regard to its national development planning. The country presents an interesting case-study given the pursuit of two highly opposing master-plans within the last 40 years. Its first master plan advocated polycentric growth away from the capital city, Bandar Seri Begawan. Its latest plan, however, currently promotes compact growth within a predefined urban footprint as a development control mechanism. This paper looks at remotely-sensed satellite data to examine the way in which the two implemented master-plan strategies have translated into actual land-use thus far. It employs a supervised classification procedure and characterises urban land into three typologies: urban infill, edge growth, and leapfrog growth. The paper’s findings suggest that residential developments play a stronger role in driving urban growth in Brunei. This is particularly true for public housing, which has typically persisted in isolated pockets of low density at the city fringe. This study has produced a novel dataset of urban land use and land cover in Brunei; and, its quantification may prove useful in understanding the impacts of master planning and the formulation of development policies both within Brunei, and the wider Southeast Asian region.

Analisis Lingkungan Pengendalian dalam Pelaksanaan SPIP di Inspektorat Kabulaten Nagekeo

ABSTRACTThe control environment is a crucial object in the whole control activities carried out, thus without an effective control environment, internal control will not work effectively. The Inspectorate of Nagekeo Regency as an institution that assists the Regent in supervising the implementation of regional Government by conducting inspections, studies, evaluations, and other supervisory activities at other government institutions within the Scope of Government of Nagekeo Regency, have to have an adequate control environment in support of effective internal control activities. The used object of research in this study is the control environment built by the Regency Inspectorate Employees who taken by purposive sampling technique. This measure is used as a comparison in the control environment assessment category. This study uses a quantitative-descriptive technique with a field research approach at the Inspectorate of Nagekeo Regency. The variables of this study are the control environment sub-elements with eight variables which include the enforcement of integrity and ethical values, commitment to competence; Conducive leadership; Establishment of organizational structure as needed; Appropriate delegation of authority and responsibility; Formulation and implementation of sound human resource development policies; The realization of the role of an effective government internal control apparatus; and good working relationship with relevant Government Agencies. In general, the eight variables of the Nagekeo Inspectorate get a score of 2.25 with quite-adequate predicate. However, two of them that still get the inadequate predicate, including the Enforcement of Integrity and Ethics; Formulation and implementation of human resource development policies, need to get attention.

Hortas urbanas na promoção da Segurança Alimentar e Nutricional e desenvolvimento sustentável em Salvador, Brasil

Abstract Urban agriculture is an alternative for generating jobs, food production and sustainable development in cities. However, the activity has faced challenges being carried out in Brazil, often spontaneously and lacking government support. Thus, this work aimed at highlighting the contribution of urban gardens to the promotion of Food and Nutrition Security (production and availability) and sustainable development in the city of Salvador, Brazil. A descriptive study was carried out, with data collection from farmers in urban gardens in the city. It was shown that the gardens have been promoting work and generating income for families, contributing to food supply and security. In addition to producing fresh vegetables for the local population, the activity contributes to the balance of ecosystems and sustainability. Due to its strategic relevance, the findings point to the need for urban gardens to be included in the formulation of supply and sustainable development policies in the city.

Population mobility and sustainable development in the Mamminasata Metropolitan South Sulawesi, Indonesia

Economic growth and urban agglomeration have triggered an increase in the size and mobility of the Metropolitan Mamminasata urban population. This study aims to analyse spatial interactions working as a determinant of connectivity of the transportation system and the growth of suburban areas toward smart and sustainable cities in the Mamminasata Metropolitan urban system and the effects that spatial expansion, spatial integration, urban agglomeration, spatial use, and the transportation system have on population mobility. The research method used is a sequential explanatory design that combines quantitative and qualitative research methods. The results show that the coefficients of determination are as follows: spatial expansion to population mobility – 4.90%, spatial integration to population mobility – 2.99%, spatial interaction to population mobility – 4.87%, urban agglomeration to population mobility – 2.09%, space use to population mobility – 2.64%, and transportation system to population mobility – 5.15%. The results of this study will assist in the formulation of development policies, management of the urban transportation system, and allocation of space utilisation going forward.

Persepsi Masyarakat Lokal terhadap Ekowisata Mangrove Kuri Caddi Desa Nisombalia Kabupaten Maros

The aims of this research are 1). to determine the local community's perception of the development of mangrove ecotourism in Kuri Caddi; 2). To provide a solution to the community-based Kuri Caddi mangrove ecotourism development policy formulation. The method in this study is a qualitative research with an interview method approach using a questionnaire. The results of this study are 1). The local community's perception of the Kuri Caddi mangrove ecotourism, Nisombalia Village, Maros Regency, namely the aspect of community knowledge of mangrove ecotourism reached 74% stating they already knew about mangrove ecotourism, community attitudes towards mangrove ecotourism obtained 70% agreed, community behavior towards mangrove ecotourism obtained 7% always and 51% sometimes and the use of mangrove ecosystems in people's lives gets 13% and 43% sometimes. This shows the support of the local community of Kuri Caddi for the development of mangrove ecotourism in Kuri Caddi, Nisombalia Village, Maros Regency. 2). Recommendations for the development of mangrove ecotourism in Kuri Caddi, Nisombalia Village, Maros Regency, are community-based mangrove ecotourism. The implications of this research can be used as a reference in the formulation of community-based mangrove ecotourism policies.

Sustainable Development of Education in Rural Areas for Rural Revitalization in China: A Comprehensive Policy Circle Analysis

Rural revitalization to promote sustainable rural development is a key strategy promoted by the Communist Party of China. We conducted a comprehensive policy analysis to explore the development of sustainable rural education for promoting rural revitalization in China. Integrity, openness, and endogeneity are critical in the development of sustainable rural education. We investigated the formulation and implementation of sustainable development policies supporting rural education in China through an in-depth analysis of the rural education policy circle (policy design, content, and implementation) and administered a survey among rural education administrators and teachers to elicit their perspectives. Education personnel employed in rural areas within 10 provinces, including school and education administrators, teaching staff and researchers, and teachers (in kindergartens, primary schools, and middle schools) were recruited for the study. A total of 741 questionnaires were sent out and returned (a recovery rate of 100%). Our findings indicated that the policy design was unreasonable, and its focus on rural-based care was inadequate. Moreover, integration and symbiosis of policy content was lacking, and the governance system was also inadequate, leading to poor policy implementation associated with insufficient support of teacher resources. In addition to addressing the above issues, we suggest that the policy should have a rural orientation to enhance integration and symbiosis, with a focus on building and consolidating the ranks of rural teachers.

To inhabit, retain or abandon? Adaptive utilization of energy-efficient sunken buildings by rural households in Shanzhou, China

Vernacular architecture has been widely concerned in recent years because of its energy-efficient and environmental adaptability characteristics, and is considered as a potential method to reduce rural energy consumption and an important cultural heritage. However, under the rural modernization and urbanization, vernacular architecture is in danger of disappearing. This paper focuses on the sunken courtyard, a typical vernacular architecture that utilizes underground space, carries out field investigation and questionnaire survey in villages of Shanzhou District, China. It is found that local residents adopt a variety of spatial utilization modes for sunken courtyards, and the structural equation model is further applied to analyse the decision-making process of farmers. The result is as follows: First, the utilization of sunken courtyards still reduces the household energy consumption; Second, policy guidance (weight coefficient is 0.57) and objective building conditions (weight coefficient is 0.25) are the main factors that affect farmers’ decision-making; Third, village collective and individual decisions affect the energy consumption level of the whole village system. Finally, the formulation of rural development policies should fully consider the relationship between residents, buildings and village systems, so as to form unique local solutions. This study provides insights for the development of future architectural heritage conservation and rural renewal strategies.

ECONOMIC GROWTH MODEL AND RENEWABLE ENERGY UTILIZATION: PERSPECTIVE OF NATURAL RESOURCES MANAGEMENT AND SUSTAINABLE DEVELOPMENT OF THE GOWA REGENCY REGION SOUTH SULAWESI, INDONESIA

Regional development coupled with economic growth requires support for the use of renewable energy to support sustainable management of natural resources and the environment. Furthermore, economic growth towards industrialization has an impact on increasing energy consumption. This study aims to analyze: (1) Economic growth work as a determinant of the use of renewable energy in supporting regional development; (2) The direct and indirect effects of economic growth, the effectiveness of natural resource utilization, and the use of renewable energy on improving the quality of the environment and the sustainability of regional development; (3) Formulating an economic growth model based on the use of renewable energy, natural resource management and sustainable regional development. This study uses a qualitative and quantitative approach sequentially. Data obtained through observation, in-depth interviews, surveys, and documentation. The results showed that economic growth followed by the use, of new and renewable energy had an impact on increasing the productivity of economic enterprises and a positive contribution to improving the quality of the environment. Gowa Regency's future development orientation is oriented towards optimizing the regional economic base sectors, increasing the contribution of the strategic economic sector, effective use of natural resources, strengthening human resource capacity, ensuring the availability and distribution of energy services, increasing regional revenues, and optimizing sources of income new. Furthermore, future economic growth is oriented towards increasing people's incomes, opening new jobs, equitable development, and improving people's welfare. This study recommends that the use of renewable energy is an important aspect that needs to be considered in the formulation of development policies towards economic growth, natural resource management and sustainable regional development of the Gowa Regency South Sulawesi, Indonesia.Keywords: economic growth; renewable energy; environmental quality; regional productivity; sustainable development.JEL Classification: Q5DOI: https://doi.org/10.32479/ijeep.11676

Decoupling analysis of economic growth and mineral resources consumption in China from 1992 to 2017: A comparison between tonnage and exergy perspective

The utilization of mineral resources not only acts as one of the fundamental aspects supporting economic activities, but also leads to resource depletion and ecological environment problems. To achieve economic growth without increases in quantitative mineral resources consumption and adverse environmental effects, it is necessary to conduct a decoupling analysis combining resource decoupling and environmental impact decoupling simultaneously. This study introduces the exergoecological approach into the decoupling analysis framework to investigate the decoupling of China's economic growth from mineral resources consumption and its environmental burden. On this basis, the grey relation analysis (GRA) is adopted to explore influence factors of the decoupling index from three aspects (the technological progress, the industrial structure and the economic growth mode). The results show that: (1) the environmental burden generated by the consumption of building minerals is equivalent to the sum of non-ferrous metal minerals and salt minerals, and almost all the environmental burden of non-fuel minerals consumption comes from the above three categories; (2) the quality of mineral resources has a significant impact on the decoupling index, especially for non-fuel minerals, and the decoupling index measured in exergy replacement costs (ERC) is smaller than that calculated in tons; (3) the decoupling index of fossil fuels is most influenced by the industrial structure, followed by the technological progress and the economic growth mode, while the decoupling index of non-fuel minerals is more influenced by the technological progress and the industrial structure than the economic growth mode. Based on the research results, this study can serve as a foundation to offer decision makers relevant implications for formulation of sustainable development policies.

Sub-national climate change risk assessment: A case analysis for Tibet and its prefecture-level cities

Avoiding climate change from exceeding its critical threshold is a serious challenge facing humanity at present and in the future. As the mode of global cooperative action is stranded, multi-center and multi-level efforts are needed to deal with global warming in the future. In order to provide information for the formulation of low-carbon development policies, it is essential to assess the maintain or cross of climate change threshold on different scales. In this study, the carbon footprint calculated based on the process coefficient approach is systematically integrated with the climate change indicator of the planetary boundaries framework improved with the goals of the Paris Agreement to identify the climate change risks of Tibet and its prefecture-level cities from 2000 to 2017. Moreover, the main driving factors behind carbon footprint were analyzed. The findings showed that: (1) Since 2000, Tibet's CO2 emissions have demonstrated steady and rapid increase. The sector composition is dominated by cement production-related and transportation sector-related emissions. The type composition is dominated by diesel-related, process-related, and coal-related emissions. There are significant differences in CO2 emissions among all prefecture-level cities, with Lhasa having the largest contribution. (2) Except for Lhasa and Shannan's CO2 emissions that have crossed their critical threshold of climate change and are in an unsafe state, Tibet and other prefecture-level cities have not yet crossed their critical threshold. (3) Except for Ngari, per capita GDP, energy intensity, population size, and carbon intensity positively affect the increase of CO2 emissions in Tibet and its prefecture-level cities. Our study helps actors at less aggregated scales to determine appropriate policy strengths based on globally agreed goals and ambitions in the process of responding to global warming in a bottom-up manner.

Trends and Challenges in Regional Life Cycle Management: A Bibliometric Analysis

Life cycle management has become increasingly important in the formulation of regional sustainable development policies and programs, while research on and the application of life cycle assessment (LCA) methodologies are predominantly conducted in a business context or for materials and product-related issues. In light of the growing importance of regional policymaking, this article discusses the current scientific landscape of regional life cycle management approaches. It conducts a bibliometric analysis using the Scopus database and integrates a co-word analysis to highlight important linkages. Our analysis reveals that an increasing number of papers have been published on regional-level LCAs in recent years; however, they remain focused on issues related to the traditional materials-oriented aspects. Conversely, little research appears to be conducted on regional life cycle management issues and activities. The research is strongly centralized, with a clustering of regional LCA studies within a relatively small group of countries, institutes, journals and authors. Despite a rapid increase in recently published papers, our analysis reveals a gap in research and knowledge transfer of regional LCA results to public policymakers and regional planners.

Evaluation of Polycentric Spatial Structure in the Urban Agglomeration of the Pearl River Delta (PRD) Based on Multi-Source Big Data Fusion

The rapid development of the urban city has led to great changes in the urban spatial structure. Thus, analyses of polycentric urban spatial structures are important for understanding these kinds of structures. In order to accurately evaluate the polycentric spatial structure of urban agglomerations and judge the differences between the actual development situation and overall planning of urban agglomerations, this study proposes a new method to identify the polycentric spatial structure of urban agglomerations in the Pearl River Delta based on the fusion of nighttime light (NTL) data, point of interest (POI) data, and Tencent migration data (TMG). In the first step, the NTL, POI, and TMG data are fused via wavelet transform; in the second step, Anselin local Moran’s I (LMI) and geographically weighted regression (GWR) were used to identify the main centers and subcenters, respectively. In the third step, the accuracy of the results of this study was further verified and discussed in the context of overall planning. The results show that the accuracy of urban polycenter identification via LMI and GWR after data fusion was 92.84%, and the Kappa value was 0.8971, which was higher than the results of polycenter identification via the traditional relative threshold. After comparing the identification results with the overall planning, firstly, we see that the fusion of multi-source big data can help to accurately evaluate the polycentric spatial structure within the urban agglomeration. Secondly, the fusion of dynamic data and static data can help identify the polycentric spatial structure of urban space more accurately. Therefore, this study can provide a new design for urban polycentric spatial structures, and further provide a reliable reference for the spatial optimization of urban agglomeration and the formulation of regional spatial development policies.

Study on the Evolution of the Source-Flow-Sink Pattern of China’s Chunyun Population Migration Network: Evidence from Tencent Big Data

We construct a comprehensive analysis framework of population flow in China. To do so, we take prefecture-level administrative regions as the basic research unit of population flow and use source-sink theory and flow space theory. Additionally, we reveal the dynamic differentiation of population flow patterns and the evolution of population source-flow-sink systems. We try to provide a theoretical basis for the formulation of population development policies and regional spatial governance. The results show the following: (1) The Hu Huanyong Line has a strong spatial lock-in effect on population flow. Additionally, provincial capital cities, headed by Hangzhou, Nanjing, and Hefei, have played an increasingly prominent role in population flow. (2) The developed eastern coastal areas have undertaken China’s main population outflow. The net population flow is spatially high in the middle of the region and low on the two sides, exhibiting an “inverted U-shaped” pattern. Furthermore, the borders of the central provinces form a continuous population inflow area. (3) The hierarchical characteristics of the population flow network are obvious. Strong connections occur between developed cities, and the effect of distance attenuation is weakened. The medium connection network is consistent with the traffic skeleton, and population flow exhibits a strong “bypass effect”. (4) The source and sink areas are divided into four regions similar to China’s three major economic belts. The 10 regions can be refined to identify the main population source and sink regions, and the 18 regions can basically reflect China’s level of urbanization. The network of the population flow source-flow-sink system exhibits notable nesting characteristics. As a result, it creates a situation in which the source areas on both sides of the east and the west are convective to the middle. The hierarchical differentiation of the source-flow sink system is related to the differences between the east and the west and between the north and the south, as well as local differences in China.

Strategies in Creating Smart People to Support Tourism Development (Study of the Tongke-Tongke Mangrove Forest Area Community)

The community is a major component and has an important role in tourism development. The community is required to be able to open up to tourists, and it is to develop themselves with all their potential so that tourism development can be implemented through the encouragement of good institutional capacity of the community, and ultimately through the development of tourism, the community will feel the benefits as a means of improving their economy and quality of life. Therefore, in the tourism area, smart people are needed who can see and utilize every potential and opportunity. This study aims to describe the strategy of creating smart people in the Tongke-Tongke Mangrove forest tourism area, Kab. Sinjai in supporting tourism development. The research was conducted using qualitative descriptive analysis by strengthening observation, interviews, and documentation studies. The results showed that to create smart people in tourism areas, several strategic steps were needed, namely (1) Community involvement in the formulation of tourism development policies, (2) Development of an internet-based area as a medium for communication in business development (3) Assisting production activities and marketing-supported by the existence of a tourism industrial area, (4) Increasing human resources through the empowerment of potential educational backgrounds as well as development, coaching, and training, (5) Fostering the socio-cultural character of the community as capital in their involvement in tourism development. By using these strategies, a smart community will be created and can support the government in developing tourism as part of regional planning and development.

Analyzing the Co-Competition Mechanism of High-Tech Park from the Perspective of Complex Socioeconomic Network.

The fusion of “innovation theory” and “ecology” gave birth to a large number of studies on “innovation ecology”, which mainly studies how to build an industrial ecological chain at the regional level, focusing on self-evolution, achieving ecological balance, and enabling the regional economy to take the path of sustainable innovation. This type of research borrows a lot of concepts from ecology and very vividly describes the competition and cooperation relationships formed by various agents in the innovation system, laying a good foundation for qualitative analysis of the inherent dynamics of innovation development. However, many studies focus on the analogous description of ecosystems and economic systems, lacking scientifically and rigorously quantitative empirical research as support. This paper uses network-based indicators such as degree, cluster coefficient, and betweenness centrality to measure the function and position of high-tech enterprises in the Z-Park of a business environment. In this way, we clarify the socioeconomic meaning of the topological structure of the regional innovation system. On this basis, it provides theoretical references for regional innovation development and sustainable development policy formulation.

Spatiotemporal effects of urban sprawl on habitat quality in the Pearl River Delta from 1990 to 2018

Since the implementation of the Chinese economic reforms. The habitat quality of coastal has gradually deteriorated with economic development, but the concept of "ecological construction" has slowed the negative trend. For quantitative analysis of the correlation between the Pearl River Delta urban expansion and changes in habitat quality under the influence of the policy, we first analyzed the habitat quality change based on the InVEST model and then measured the impact of construction land expansion on the habitat quality through habitat quality change index (HQCI) and contribution index (CI) indicators. Finally, the correlation between urbanization level and habitat quality was evaluated using geographically weighted regression (GWR) and the Self-organizing feature mapping neural network (SOFM). The results indicated that: (1) during the study period from 2000 to 2020, habitat quality declined due to urban sprawl, indicating a deterioration of ecological structure and function, and the decrease was most significant from 2000 to 2010. (2) The urbanization index had a negative effect on the habitat quality, but the negative effect have improved after 2000, reflecting the positive effect of policies such as "ecological civilization construction" (3) The implementation degree of ecological civilization varies greatly among cities in the study area: Shenzhen, Dongguan, Foshan, and Zhongshan have the best level of green development. These results reflect the positive role of policies in the prevention of damage to habitat quality caused by economic development and provide a reference for the formulation of sustainable urban development policies with spatial differences.

Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban Development.

As one of the most important methods for limiting urban sprawl, the accurate delineation of the urban–rural boundary not only promotes the intensive use of urban resources, but also helps to alleviate the urban issues caused by urban sprawl, realizing the intensive and healthy development of urban cities. Previous studies on delineating urban–rural boundaries were only based on the level of urban and rural development reflected by night-time light (NTL) data, ignoring the differences in the spatial development between urban and rural areas; so, the comprehensive consideration of NTL and point of interest (POI) data can help improve the accuracy of urban–rural boundary delineation. In this study, the NTL and POI data were fused using wavelet transform, and then the urban–rural boundary before and after data fusion was delineated by multiresolution segmentation. Finally, the delineation results were verified. The verification result shows that the accuracy of delineating the urban–rural boundary using only NTL data is 84.20%, and the Kappa value is 0.6549; the accuracy using the fusion of NTL and POI data on the basis of wavelet transform is 93.2%, and the Kappa value is 0.8132. Therefore, we concluded that the proposed method of using wavelet transform to fuse NTL and POI data considers the differences between urban and rural development, which significantly improves the accuracy of the delineation of urban–rural boundaries. Accurate delineation of urban–rural boundaries is helpful for optimizing internal spatial structure in both urban and rural areas, alleviating environmental problems resulting from urban development, assisting the formulation of development policies for urban and rural fringes, and promoting the intensive and healthy development of urban areas.