Peri-urban Areas and Land Use Structure in Romania at LAU2 Level: An Exploratory Spatial Data Analysis

Lincaru, Cristina; Atanasiu, Draga; Ciucă, Vasilica; Pîrciog, Speranţa

doi:10.1016/j.proenv.2016.03.017

Cited by 14 publications

(9 citation statements)

References 25 publications

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“…ESDA usually includes an exploratory data analysis, spatial autocorrelation, and spatial regression (Anselin 2010;Li and Griffin 2013). ESDA is an effective tool for exploring spatial distribution characteristics and the implicit spatial patterns of social behaviors in the social sciences, such as criminology, land use planning and economics (Anselin 2010;Celebioglu and Dall'erba 2010;Ye and Wu 2011;Ma and Pei 2012;Li and Griffin 2013;Dou et al 2016;Lincaru et al 2016) or examining the spatial heterogeneities of environmental pollutant emissions, disease, fire, and energy consumption (Owusu-Edusei and Owens 2009;Djukpen 2012;Oom and Pereira 2013;Agovino et al 2016;Chen et al 2018). Because ESDA has the advantage of revealing the spatial patterns of complex and uncertain social behaviors, it is a basic and powerful tool for studying these emerging issues.…”

Section: Introductionmentioning

confidence: 99%

Regional spatial patterns and influencing factors of environmental auditing for sustainable development: summaries and illuminations from international experiences

Wei

Yang

et al. 2019

Environ Dev Sustain

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Environmental auditing (EA) is an efficient tool for supervising environmental governance for the realization of economic and social sustainable development. However, the extent to which EA influences the implementation of environmental protection projects and the dominating socioeconomic factors affecting the implementation of EA are unclear. Due to limited data availability, reports investigating this issue are relatively scarce. Based on annual investigation data from the International Organisation of Supreme Audit Institutions regarding the implementation of world EA projects between 2003 and 2013, this paper performed exploratory spatial data analysis to analyze the spatial correlations of EA projects in 204 countries/regions worldwide. In addition, spatial regression models for the year 2013 were established. The findings suggest that (I) high-high regions were mainly concentrated in North America, Europe, and parts of Latin America. The local implementation of EA had strong spatial interactive effects and was heavily influenced by adjacent regions. An experimental area that has already implemented EA can influence its adjacent regions, and the surrounding regions may learn from such implementation. (II) The spatial regression coefficient of the spatial lag model was 0.323 and highly significant (p < 0.001) compared to the traditional regression model. After considering the spatial variables, the importance of CO 2 emissions decreased by 1.7%, while environmental input and per capita income decreased by 0.7% and 1%, respectively. The influence of these factors on the implementation of EA was driven by the factor of spatial proximity, which was a critical factor influencing the results. (III) In general, socioeconomic development level, environmental protection investment, and other factors, such as CO 2 emission level and degree of social informatization, all increased the efficiency of EA implementation. These conclusions emphasize the important role of EA in helping local governments with environmental management and sustainable development.

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Section: Introductionmentioning

confidence: 99%

Regional spatial patterns and influencing factors of environmental auditing for sustainable development: summaries and illuminations from international experiences

Wei

Yang

et al. 2019

Environ Dev Sustain

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“…GeoDa 1.4.6 software is used to calculate the overall and partial spatial relativity evaluation index of urban-rural integration development coordination index for each county in the Qinling-Daba Mountains year by year [39,40].…”

Section: Exploratory Spatial Data Analysis Of the Urban-rural Integramentioning

confidence: 99%

A Study of the Time–Space Evolution Characteristics of Urban–Rural Integration Development in a Mountainous Area Based on ESDA-GIS: The Case of the Qinling-Daba Mountains in China

Cui

2016

Sustainability

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Abstract:The multi-index comprehensive evaluation method is used in this paper to estimate the urban-rural integration development level of the Qinling-Daba Mountains in China and build an evaluation index system that is composed by five subsystems and 18 basic indexes. The integration of the indexes is conducted through linear weight sum method and the weight of each index is determined through analytic network process to get the urban-rural integration development coordination indexes of each county in the Qinling-Daba Mountains. Meanwhile, the time-space evolution characteristic of urban-rural integration development in the Qinling-Daba Mountains in the past 10 years is studied through exploratory spatial data analysis and GIS technology. The results indicate that urban-rural integration displays a spatial imbalance, with a situation of polarization, i.e., high-level counties gathering with each other; the spatial aggregation rule of west-high, east-low is coupled with land conditions, industrial activity, and the transportation situation to affect the urban-rural development. Finally, we propose that development priorities should be circular industry, eco-agriculture, and tourism to accelerate urban-rural development and work towards a comprehensive modern transportation system and other infrastructure in the Qinling-Daba Mountains.

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“…The special aspects of urban development in Eastern Europethe semi-peripheral situation, the slow transition of society based on agricultural to industrial production, the changing regulatory system after socialism, postponed urbanisation process during socialism, and despite of intensive suburbanization after 1990, a moderate level of urbanisation (Enyedi, 1988;Beluszky and Győri, 2005; Enyedi, 2012;)give additional motivation to researchers and planners to highlight the causes and the possibilities to cope with urban sprawl. Several studies focus on the importance of land use changes of cities and towns as well in post socialist countries (for example Lincaru et al, 2016;Grigorescu and Kucsicsa, 2017 in Romania;Roose et al, 2013 in Estonia;Slaev and Kovachev, 2014 in Bulgaria;Zivanovic-Miljkovic et al, 2012 in Serbia) and most of them urges the importance of regulatory tools to manage land use changes in peri-urban areas.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Post Socialist Spatial Development of the Functional Urban Area of Veszprém, Hungary

Iváncsics

Kovács

2019

Journal of Environmental Geography

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The post-socialist era resulted remarkable changes in urban landscape in Eastern Europe and in Hungary. The special circumstances caused moderate level of urbanisation and special patterns of urban sprawl, traceable in land use changes. The urban sprawl and suburbanisation became an important trend around smaller Hungarian cities as well. Regulators are eager to rule the evolution of spaces, however, it is hard to control all aspects of land use. The research presented in this paper shows the dynamics of new artificial areas with the help of land use changes from the Corine Database for the functional urban area around Veszprém and attempts to find the most important policy responses to the growing artificial surfaces after transition. The research questions are: What are the most important trends in changing in-built areas in a small city after the transition? What kind of new artificial areas appeared and where are they situated? Were the land use plans and nature protection effective tools for manage urban sprawl? With the help of Corine land use changes between 1990-2018 the most important spatial changes are shown, and the different peri-urban areas are compared around the core town. Attention is drawn to the importance of regulation for sustainable land use and protection of resources. It also highlights the importance of the regulatory power of municipalities. Changes in the environment of Veszprém may give inspiration for the rethinking the relationship of urban-rural, and catchment area and core town.

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Peri-urban Areas and Land Use Structure in Romania at LAU2 Level: An Exploratory Spatial Data Analysis

Cited by 14 publications

References 25 publications

Regional spatial patterns and influencing factors of environmental auditing for sustainable development: summaries and illuminations from international experiences

Regional spatial patterns and influencing factors of environmental auditing for sustainable development: summaries and illuminations from international experiences

A Study of the Time–Space Evolution Characteristics of Urban–Rural Integration Development in a Mountainous Area Based on ESDA-GIS: The Case of the Qinling-Daba Mountains in China

Characteristics of Post Socialist Spatial Development of the Functional Urban Area of Veszprém, Hungary

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