Sustainable land urbanization, urban amenities, and population urbanization: Evidence from city‐level data in China

2021 ◽  
Author(s):  
Songlin Zhang ◽  
Haoqing Zheng ◽  
Hongyong Zhou ◽  
Qing Shao ◽  
Qun Wu
Keyword(s):  
Urban Amenities ◽  
Level Data ◽  
Population Urbanization ◽  
Land Urbanization

scholarly journals Research on Population-Land-Industry Relationship Pattern in Underdeveloped Regions: Gansu Province of Western China as an Example

2019 ◽  
Vol 11 (8) ◽  
pp. 2434 ◽  
Author(s):  
Libang Ma ◽  
Meimei Chen ◽  
Xinglong Che ◽  
Fang Fang
Keyword(s):  
Three Dimensional ◽  
Gansu Province ◽  
Three Dimensions ◽  
Western China ◽  
Sustainable Urban Development ◽  
Economic Changes ◽  
Industry Relationship ◽  
Population Urbanization ◽  
Urbanization Pattern ◽  
Land Urbanization

Urbanization is a three-dimensional process including population, spatial, and economic changes. The coordination among the three dimensions is the key to sustainable urban development. Here, a population-land-industry index system of urbanization is constructed, and the degree of coupling and mutual feedback among population urbanization, land urbanization, and industrial urbanization are analyzed. The urbanization patterns and their spatiotemporal variation are identified. The results show that: (1) Population and land urbanization proceeded slowly in Gansu Province and their trends were similar, whereas industry urbanization proceeded faster than the two. From a spatial perspective, population, land, and industrial urbanization levels (PUi, LUi, and IUi) decreased from southwest to northeast. The coupling degree of population, land, and industrial urbanization increased from 1998 to 2016 and showed significant spatial variation, decreasing from northwest to southeast. (2) Population, land, and industry all play a role in urbanization. PUi was significantly and positively correlated with LUi. However, there was no significant correlation between IUi and PUi and between IUi and LUi. The improvement of PUi, LUi, and IUi effectively promoted the coupling degree of population, land, and industrial urbanization. (3) Seven urbanization patterns were identified in Gansu Province and evaluation units with the same urbanization pattern tended to be spatially close to each other. IUi > PUi > LUi (IX), IUi > LUi > PUi (X) and IUi > PUi = LUi (XI) were the dominant urbanization patterns. There was crisscross distribution of various urbanization patterns and, thus, it was not easy to observe the agglomeration center of certain urbanization pattern. (4) The urbanization pattern of the same evaluation unit changed with time. This change was mainly reflected in the change of relationship between population and land urbanization. Urbanization pattern changed more significantly in 2008–2016 than in 1998–2008. The changes were dominant by IX→XI, X→XI, XI→IX, and XI→X.

scholarly journals Urbanization and Economic Growth in China—An Empirical Research Based on VAR Model

2017 ◽  
Vol 9 (3) ◽  
pp. 210 ◽  
Author(s):  
Li Yang Zi
Keyword(s):  
Economic Growth ◽  
Series Data ◽  
Var Model ◽  
Resident Population ◽  
Urbanization Rate ◽  
Population Urbanization ◽  
Positive Effect ◽  
Land Urbanization

This paper takes the relation between urbanization and economic growth in China as the object of study. By using the time series data ranging from 1982 to 2014 and building VAR model, it analyzes, respectively, the dynamic relations between economic growth and the urbanization rate of resident population, the urbanization rate of land and the quality of urbanization. The paper comes up with the following conclusions: there exists a unidirectional causality between resident population urbanization and China’s economic growth, the former promoting the long-term growth of the latter; unidirectional causality also exists between land urbanization rate and China’s economic growth. However, different from resident population urbanization rate, it is the economic growth of China that promotes the increase of land urbanization rate and the increase of land urbanization rate cannot promote China’s economic growth; the relation between the quality of urbanization and China’s economic growth is a two-way causality. The improvement of urbanization quality has a cumulative positive effect on the economic growth of China, while economic growth has a negative effect on the improvement of urbanization quality in the short term and positive effect on economic growth in the long term.

Evaluation of Urbanization Coordination Degrees in Gansu Province

2013 ◽  
Vol 295-298 ◽  
pp. 2486-2492 ◽  
Author(s):  
Pei Ji Shi ◽  
Li Chen ◽  
Hai Long Liu ◽  
Hai Meng Liu
Keyword(s):  
Function Method ◽  
Gansu Province ◽  
Coordinated Development ◽  
Degree Function ◽  
Different Characteristics ◽  
Population Urbanization ◽  
Land Urbanization ◽  
Coordination Degree

This paper divides urbanization into four parts, population urbanization、economic urbanization、land urbanization and social urbanization, and then calculates the coordination degree of urbanization by using TOPSIS and coordination degree function method. The results show that,(1)Urbanization in Gansu Province has experienced two courses.(2) In 2010, the urbanization within Gansu Province could be divided into four types, population-oriented、land-oriented、economic-oriented and population - economic-oriented.(3) Only 4 cities’ urbanization tended to coordinated development from 2001 to 2010 , it is declined for others.(4)The urbanization coordination difference is significant, and coordination shows different characteristics.

scholarly journals Coupling Coordinated Development and Exploring Its Influencing Factors in Nanchang, China: From the Perspectives of Land Urbanization and Population Urbanization

Land ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 178 ◽  
Author(s):  
Tiangui Lv ◽  
Li Wang ◽  
Xinmin Zhang ◽  
Hualin Xie ◽  
Hua Lu ◽  
...  
Keyword(s):  
Industrial Structure ◽  
Economic Transition ◽  
Positive Impact ◽  
Coordinated Development ◽  
Coordination Model ◽  
Per Capita ◽  
Negative Impacts ◽  
Population Urbanization ◽  
Land Urbanization ◽  
Coordination Degree

The coordination relationship between land urbanization and population urbanization is crucial for achieving sustainable development under economic transition. Moreover, the balance between land urbanization and population urbanization is essential to guarantee the urbanization process of an entire city. This paper empirically analyzes the interaction between land urbanization and population urbanization in Nanchang from 2002 to 2017 based on the coupling coordination model (CCM). The impacts of the coordination degree on coordinated development are quantified by multivariate linear regression (MLR). The results show the following: (1) The indices of land urbanization and population urbanization in Nanchang showed an upward trend, and therefore the coordination degree in Nanchang increased significantly from 2002 to 2017. (2) The coordinated development of urbanization underwent two stages: disordered and moderately disordered. (3) The urban population proportion and the supporting capability of agricultural production had a positive impact on coordinated development. Meanwhile, the results also show that per capita education expenditures and the per capita public green area had negative impacts on the coordination degree, while economic development and the urban industrial structure were positive contributors to the coordination degree. Finally, this paper proposes that policies should be formulated to achieve coordinated development of urbanization. It can be concluded that the results regarding coordinated development of urbanization can help decision makers formulate effective measures to achieve coordinated development in the future.

scholarly journals Exploring the multi-dimensional coordination relationship between population urbanization and land urbanization based on the MDCE model: A case study of the Yangtze River Economic Belt, China

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253898
Author(s):  
Ling Shan ◽  
Yuehua Jiang ◽  
Cuicui Liu ◽  
Yufei Wang ◽  
Guanghong Zhang ◽  
...  
Keyword(s):  
Yangtze River ◽  
Rapid Development ◽  
Entropy Method ◽  
The Yangtze River ◽  
Development Level ◽  
Sustainable Urbanization ◽  
Speed Level ◽  
Population Urbanization ◽  
High Degree ◽  
Land Urbanization

The rapid development of urbanization has had a dramatic impact on the economy, society and environment in China. In this context, the coordination relationship between population urbanization and land urbanization is essential for achieving sustainable urbanization. Based on the statistical data from 2007–2017 in the Yangtze River Economic Belt (YEB), this paper established the multi-dimensional coordination evaluation (MDCE) model by using the speed coordination evaluation (SCE) model, the level consistency evaluation (LCE) model, the entropy method and the space matching evaluation (SME) model to evaluate the coordination relationship between population urbanization and land urbanization from the speed-level-space perspective. The results showed that from 2007 to 2017: 1) the development speed of population urbanization and land urbanization in the YEB were more and more coordinated, and the speed of population urbanization lagged behind that of land urbanization. In addition, the overall development speed of the 11 provinces declined, and most of them were characterized by excessive development of land urbanization. 2) the development level of population urbanization and land urbanization in the YEB were all high, but the development level of population urbanization was lower than that of land urbanization. Further, the development level of the 11 provinces remained stable and high, and continuously improved. 3) the space matching of population urbanization and land urbanization in the YEB had a high degree of coordination, and the space matching degree of population urbanization was higher than that of land urbanization. Moreover, the space matching of most provinces in the region had declined, but the change was small. Finally, this paper proposes the policy recommendations on the coordinated development of population and land urbanization at the institutional, market and management levels to achieve coordinated and sustainable urbanization.

scholarly journals Empirical Research on Decoupling Relationship between Energy-Related Carbon Emission and Economic Growth in Guangdong Province Based on Extended Kaya Identity

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Wenxiu Wang ◽  
Yaoqiu Kuang ◽  
Ningsheng Huang ◽  
Daiqing Zhao
Keyword(s):  
Economic Growth ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Carbon Sink ◽  
Quantitative Model ◽  
Total Production ◽  
Economic Output ◽  
Population Urbanization ◽  
Kaya Identity ◽  
Land Urbanization

The decoupling elasticity decomposition quantitative model of energy-related carbon emission in Guangdong is established based on the extended Kaya identity and Tapio decoupling model for the first time, to explore the decoupling relationship and its internal mechanism between energy-related carbon emission and economic growth in Guangdong. Main results are as follows. (1) Total production energy-related carbon emissions in Guangdong increase from4128×104 tC in 1995 to14396×104 tC in 2011. Decoupling elasticity values of energy-related carbon emission and economic growth increase from 0.53 in 1996 to 0.85 in 2011, and its decoupling state turns from weak decoupling in 1996–2004 to expansive coupling in 2005–2011. (2) Land economic output and energy intensity are the first inhibiting factor and the first promoting factor to energy-related carbon emission decoupling from economic growth, respectively. The development speeds of land urbanization and population urbanization, especially land urbanization, play decisive roles in the change of total decoupling elasticity values. (3) Guangdong can realize decoupling of energy-related carbon emission from economic growth effectively by adjusting the energy mix and industrial structure, coordinating the development speed of land urbanization and population urbanization effectively, and strengthening the construction of carbon sink.

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