Spatial-Temporal Characteristics in Grain Production and Its Influencing Factors in the Huang-Huai-Hai Plain from 1995 to 2018

Zhou, Chunshan; Zhang, Rongrong; Ning, Xiaoju; Zheng, Zhicheng

doi:10.3390/ijerph17249193

Cited by 14 publications

(9 citation statements)

References 42 publications

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“…The GWR model can fully consider the spatial characteristics of each influencing factor, and it accurately depicts the spatial relationship between independent and dependent variables [58][59][60]. The formula is as follows [61]:…”

Section: Geographical Weighted Regression Model (Gwr)mentioning

confidence: 99%

Heterogeneity of Spatial Distribution and Factors Influencing Unattended Locker Points in Guangzhou, China: The Case of Hive Box

Liu

Zhang

et al. 2021

IJGI

Self Cite

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Hive Box is a company that operates a network of express unattended collection and delivery points (UCDPs) in China. Hive Box distribution enhances community-based end-to-end delivery services and low-carbon city logistics. It is argued that UCDPs compared with attended collection and delivery points (ACDPs) should be considered for further investigation. Therefore, the present study employed kernel density estimation, spatial autocorrelation analysis, and geographically weighted regression to investigate the spatial heterogeneity of Hive Box distribution across Guangzhou. Hive Box location data were collected from smartphone apps. The results were as follows: (1) the kernel density declined from the city center toward the outskirts, and showed point-like spatial agglomerations in the city center; (2) the Moran’s I index analysis showed that Hive Box distribution exhibited spatial agglomeration from a global perspective and geographic variations in locality in space; the heterogeneity of urban–rural differences implies the uneven development of Hive Box distribution in Guangzhou; and (3) the factors influencing Hive Box distribution were multilevel, and their effects were complex and varied across regions. These results shed light on the agglomeration and heterogeneity characteristics of the spatial distribution and influencing factors of Hive Boxes. For an enhanced community-based end-to-end delivery service, this study suggested the identification of the geographic variations of Hive Box distribution and the combined effects of multiple factors in intensifying the infrastructure of unattended locker points.

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Section: Geographical Weighted Regression Model (Gwr)mentioning

confidence: 99%

Heterogeneity of Spatial Distribution and Factors Influencing Unattended Locker Points in Guangzhou, China: The Case of Hive Box

Liu

Zhang

et al. 2021

IJGI

Self Cite

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show abstract

“…Meanwhile, research covers different scales of the whole country, river basins, provinces, and counties [12][13][14][15]. For example, some Chinese scholars conducted in-depth discussions on the Central Plains Economic Zone, the Huang-Huai-Hai Plain, and the Yangtze River Economic Belt, and found that most of the regional grain production spatial patterns tend to shift and change, with significant spatial correlation, agglomeration, and spillover effects, and the spatial agglomeration continues to increase [16][17][18]. These abundant studies are mostly based on "attribute characteristics".…”

Section: Introductionmentioning

confidence: 99%

Towards a Sustainable Grain Production Network: An Empirical Study from Northeast China

Gao

Zhang

et al. 2022

Sustainability

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As an important grain-producing area in China, research on the spatial correlation network of grain production in Northeast China is of great significance to ensure food security and realize the sustainable development of grain production. Based on the data of 40 cities in Northeast China from 1999 to 2019, we used the modified gravity model and social network analysis method to explore the structural characteristics of the spatial correlation network of grain production. Then, we divided the network into four blocks—net spillover block, main beneficial block, broker block, and bidirectional spillover block—and explored the interactive relationships and spillover effects between blocks. On this basis, corresponding policy recommendations were put forward. The results are as follows. (1) The spatial correlation network of grain production in Northeast China presents a complicated development trend, but the overall tightness of the network still needs to be improved. (2) The spatial correlation network of grain production is characterized by multi-center distribution, in which important nodes not only play the role of central actors but also act as intermediaries and bridges in the network. (3) There are obvious spatial correlations and spillover effects between blocks, and it is in the agglomeration stage of the agglomeration–diffusion effect.

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“…Statistics also indicate that agricultural water use accounts for about 80% of the global total water consumption [ 2 ]. China is an important country for food production and consumption in the world [ 3 ]. However, the supply of cropland and water resources is insufficient in China, with per capita occupancy equal to 28% and 40% of the world average, respectively [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

The Adjustment of China’s Grain Planting Structure Reduced the Consumption of Cropland and Water Resources

Wang

Dai

2021

IJERPH

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Driven by technological progress and market demand, the optimization and adjustment of grain planting structure played an important role in increasing grain output. Due to the great difference between the yield per unit area of different types of food crops, the consumption of cropland and water resources has a significant change during the grain growth. From the perspective of structural adjustment, rather than the usual productive factor input, we analyze the process of adjustment for grain planting structure in China and its effect on the consumption of cropland and water resources by using the scenario comparative analysis method. The results show that: (1) From 2003 to 2019, China’s grain output has increased steadily and the planting structure has changed greatly. Rice was replaced by corn to become the grain crop with the maximum proportion of planting area since 2007. The increase of corn planting structure proportion is concentrated in the northern regions. (2) At the national level, according to the adjustment of grain planting structure, the saving of cropland and water resources consumption showed a “cumulative effect” as time went on. (3) The saving effects of structural adjustment in the northern regions on cropland and water resources consumption are better than that in the southern regions, such as Northeast China Plain, Northern arid and semiarid region and Loess Plateau. (4) In reality, although the adjustment of grain planting structure saved lots of cropland and water resources, the continuous growth of grain output has increased the pressure on the ecological environment in the northern regions according to theirs water limits. Therefore, it is necessary to continuously optimize the grain planting structure and restrict land reclamation in northern China. In addition, to ensure food security, it is feasible to encourage the southern regions with abundant water and heat resources to increase the grain planting area and meet its self-sufficiency in grain demand.

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Spatial-Temporal Characteristics in Grain Production and Its Influencing Factors in the Huang-Huai-Hai Plain from 1995 to 2018

Cited by 14 publications

References 42 publications

Heterogeneity of Spatial Distribution and Factors Influencing Unattended Locker Points in Guangzhou, China: The Case of Hive Box

Heterogeneity of Spatial Distribution and Factors Influencing Unattended Locker Points in Guangzhou, China: The Case of Hive Box

Towards a Sustainable Grain Production Network: An Empirical Study from Northeast China

The Adjustment of China’s Grain Planting Structure Reduced the Consumption of Cropland and Water Resources

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