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Jian Liu
School of Geographical Science, Northeast Normal University, Changchun 130024, China

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Journal article
Published: 03 June 2020 in Sustainability
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The “Qinling-Huaihe Line” is the recognized geographical boundary between north and south China. In the context of a widening north–south gap, the large-scale population flow and the implementation of the regional coordinated development strategy, the north–south differentiation of the Chinese population requires further investigation. This study is based on national census data and uses quantitative methods, such as the centralization index, coefficient of variation, hot spot analysis and geodetector, as research methods. This study takes the Qinling-Huaihe Line as the dividing line and aims to extensively explore the spatial differentiation, evolutionary characteristics, and influential factors of the populations on both sides. The main conclusions are as follows: ① From 1982 to 2010, the population share ratio on the south and north sides of the Qinling-Huaihe Line remained at 58:42, showing a distribution pattern of “South more and North less”. ② The area within 200 km from the Qinling-Huaihe Line is a transition area with a stable distribution of the populations on both sides. ③ From 1982 to 2010, the concentration of the population distribution gradually increased on both sides, and the concentration of population on the south side was higher; the characteristics of population growth had significant spatial differences between the two sides. ④ The results calculated by the geodetector method show that socioeconomic factors are the main factors causing the spatial differentiation of the populations, while physical geographical environmental factors have a smaller influence and their influence continues to decrease.

ACS Style

Jie Liu; Qingshan Yang; Jian Liu; Yu Zhang; Xiaojun Jiang; Yangmeina Yang. Study on the Spatial Differentiation of the Populations on Both Sides of the “Qinling-Huaihe Line” in China. Sustainability 2020, 12, 4545 .

AMA Style

Jie Liu, Qingshan Yang, Jian Liu, Yu Zhang, Xiaojun Jiang, Yangmeina Yang. Study on the Spatial Differentiation of the Populations on Both Sides of the “Qinling-Huaihe Line” in China. Sustainability. 2020; 12 (11):4545.

Chicago/Turabian Style

Jie Liu; Qingshan Yang; Jian Liu; Yu Zhang; Xiaojun Jiang; Yangmeina Yang. 2020. "Study on the Spatial Differentiation of the Populations on Both Sides of the “Qinling-Huaihe Line” in China." Sustainability 12, no. 11: 4545.

Journal article
Published: 18 October 2019 in Sustainability
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Based on panel data from 1995, 2005, and 2015 in the Songnen Plain in Heilongjiang Province, this paper used quantitative and spatial analysis methods to reveal the spatiotemporal evolution characteristics and coupling relationship between agricultural labor and agricultural production at the county level against the background of rural shrinkage. The results showed the following: (1) From 1995 to 2015, the agricultural labor population in Songnen Plain increased first and then decreased. The transfer of agricultural labor in the northern and eastern areas was clear, and the agricultural labor population in the central and western areas showed an increasing trend. (2) From 1995 to 2015, the agricultural production showed a growth trend, from the characteristics of “high in the southwest and low in the northeast” to “high in the central areas and low around”, with clear regional differences. (3) The coupling relationship between agricultural labor and agricultural production was diverse, showing a trend of positive development from extensive, lagged, and declining types to growth or intensive types. In some areas, the transfer of agricultural labor brought about an increase in the per capita cultivated land and an intensive transformation of production, but problems such as hollow villages, the abandonment of cultivated land and food insecurity often occurred. In addition, the increase in the agricultural labor population promoted the growth of grain yield and agricultural output value, but the decrease in per capita cultivated land might lead to a decrease in the per capita income. Finally, based on the coupling types and spatial distribution characteristics of agricultural labor and agricultural production, some policy suggestions are proposed for rural revitalization.

ACS Style

Yangmeina Yang; Yu Zhang; Jian Liu; Fang Huang. Coupling Relationship between Agricultural Labor and Agricultural Production Against the Background of Rural Shrinkage: A Case Study of Songnen Plain, China. Sustainability 2019, 11, 5804 .

AMA Style

Yangmeina Yang, Yu Zhang, Jian Liu, Fang Huang. Coupling Relationship between Agricultural Labor and Agricultural Production Against the Background of Rural Shrinkage: A Case Study of Songnen Plain, China. Sustainability. 2019; 11 (20):5804.

Chicago/Turabian Style

Yangmeina Yang; Yu Zhang; Jian Liu; Fang Huang. 2019. "Coupling Relationship between Agricultural Labor and Agricultural Production Against the Background of Rural Shrinkage: A Case Study of Songnen Plain, China." Sustainability 11, no. 20: 5804.

Journal article
Published: 04 January 2019 in Sustainability
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China is the world’s largest emitter of CO2. As the largest sector of China’s fossil energy consumption and carbon emissions, manufacturing plays an important role in achieving emission reduction targets in China. Using the extended logarithmic mean division index (LMDI) decomposition model, this paper decomposed the factors that affect the CO2 emissions of China’s manufacturing industry into eight effects. The results show the following: (1) China’s manufacturing CO2 emissions increased from 1.91 billion tons in 1995 to 6.25 billion tons in 2015, with an average annual growth rate of 6%. Ferrous metal smelting and rolling were the largest sources of carbon dioxide emissions, followed by chemical raw materials and products and then non-metallic minerals. (2) During the research period, the industrial activity effects were the most important factor leading to increased CO2 emissions in manufacturing and energy intensity was the most important factor in promoting the reduction of CO2 emissions from manufacturing. The investment intensity was the second most influential factor leading to the increase in China’s manufacturing CO2 emissions after the industrial scale and this even exceeded the industrial activity effect in some time periods (2000–2005). R&D efficiency and R&D intensity were shown to have significant roles in reducing CO2 emissions in China’s manufacturing industry. The input of R&D innovation factors is an effective way to achieve emission reductions in China’s manufacturing industry. (3) There were differences in the driving factors of CO2 emissions in the manufacturing industry in different periods that were closely related to the international and domestic economic development environment and the relevant policies of the Chinese government regarding energy conservation and emission reduction. (4) Sub-sector research found that the factors that affect the reduction of CO2 emissions in various industries appear to be differentiated. This paper has important policy significance to allow the Chinese government to implement effective energy-saving and emission reduction measures and to reduce CO2 emissions from the manufacturing industry.

ACS Style

Jian Liu; Qingshan Yang; Yu Zhang; Wen Sun; Yiming Xu. Analysis of CO2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition. Sustainability 2019, 11, 226 .

AMA Style

Jian Liu, Qingshan Yang, Yu Zhang, Wen Sun, Yiming Xu. Analysis of CO2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition. Sustainability. 2019; 11 (1):226.

Chicago/Turabian Style

Jian Liu; Qingshan Yang; Yu Zhang; Wen Sun; Yiming Xu. 2019. "Analysis of CO2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition." Sustainability 11, no. 1: 226.