Research on Global Grain Trade Network Pattern and Its Driving Factors

Duan, Jian J.; Nie, Changle; Wang, Yingying; Yan, Dan; Xiong, Wei

doi:10.3390/su14010245

Cited by 22 publications

(20 citation statements)

References 62 publications

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“…Therefore, there is a trade demand between these countries [52]. Since income level affects the structure of food consumption, higher income levels not only increase the general level of food consumption but also the demand for protein foods in the dietary structure of the population [35]. Therefore, the smaller the income difference, the more likely it is that trade will occur.…”

Section: Qap Analysis Methodsmentioning

confidence: 99%

“…Consistent with these studies, scholars attach weights to the trade network since they analyze the topology of the trade network and infer that the country's GDP, trade policies, and other factors affect the global trade network [32][33][34]. Presently, complex network analysis methods have been widely used in international trade, focusing on energy and agricultural products [35][36][37][38][39], with relatively less focus on the dairy products' trade network pattern.…”

Section: [29]mentioning

confidence: 99%

“…The node degree denotes the number of all nodes in the network that are connected to a specific node. It can reflect the degree of diversification of a country's trade objects [35]. The higher the node degree, the more countries trade with that country [40].…”

Section: Node Degree and Distribution Of Node Degreementioning

confidence: 99%

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Evolution Characteristics and Influencing Factors of Global Dairy Trade

et al. 2023

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There are imbalances and uncertainties in the global supply and demand of dairy products, owing to the adverse influence of overall economic changes, dairy prices, agricultural politics, the COVID-19 pandemic, and severe climate. This paper aims to explore the evolving characteristics and influencing factors of the global dairy trade pattern and make recommendations for the sustainable development of the global dairy trade. This paper studies the evolutionary characteristics of the global dairy trade pattern from the perspective of the overall structure, individual characteristics, and core–periphery structure through complex network analysis (CNA), using the countries involved in dairy trade from 2000 to 2020. Furthermore, this study explores the influencing factors of the dairy trade network using a quadratic allocation procedure (QAP). The results indicate that the global dairy trade network has been expanding, with prominent scale-free features and small-world characteristics. Individual countries display obvious heterogeneity, whereas the core import regions of the dairy shift from Europe, East Asia, and America to North America, the Middle East, and East Asia. Contrary to this, there is no significant change in the core export regions. Consequently, the entire dairy trade network represents a clear core–periphery structure. Moreover, the income per capita gaps, geographic distance gaps, and common language always affect the trade value and dairy trade relations across the countries. Meanwhile, economic level gaps and regional trade agreements have become increasingly significant. Thus, the dairy trade may not follow the “border effect”. Lastly, this paper also extends recommendations for the sustainable development of the dairy trade.

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Section: Qap Analysis Methodsmentioning

confidence: 99%

Section: [29]mentioning

confidence: 99%

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Evolution Characteristics and Influencing Factors of Global Dairy Trade

et al. 2023

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“…Li and Li (2022) revised the model, considering the heterogeneity of workers in terms of skills and liquidity, it is easier to analyze the regional asymmetric trade cost problem. Duan et al (2021) found that the gravity model modified from the original "core-periphery" model can better depict reality, using Spanish migration data. Asadi and Jafari Samimi (2022) studied the social desirability of agglomeration and the efficiency of policy intervention and found that under the condition that the trade cost is in the middle level, there is a stable equilibrium of partial agglomeration of enterprises in addition to the "core-periphery" equilibrium.…”

Section: The Core-periphery Theory Of Urban Resource Efficiencymentioning

confidence: 99%

Evaluating resource utilization efficiency in urban land construction of Yangtze river economic zone under technological progress

Wei¹,

Qian²,

Lin³

et al. 2022

Front. Environ. Sci.

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Based on the economic models of DEA-Malmquist, this paper estimated the land utilization efficiency by considering dimensions such as energy, water and economic inputs in the Yangtze River Delta urban agglomeration from 2004 to 2016, and analyzed its spatial and temporal evolution pattern and characteristics. Then use the Tobit model to explore the main influencing factors, and examine the contribution of each influencing factor, such as technical progress. The research results show that the urban construction efficiency and the distance from the port have a “∽” curve relationship, verifying the “center-periphery” theory of new economic geography. It is also found that the effective radiation distance of the current economic center Shanghai to the surrounding area is 361.5 km. The structural analysis of the efficiency of construction land shows that the market mechanism has not played a fundamental role in the allocation of construction land resources, the improvement of the quality of labor force, and the expansion of capital clustering with industry is the main driving factor to support the efficiency of construction land use in the Yangtze River Delta region. We suggest that more efforts will be needed to reform market mechanisms and improve technological progress in the near future.

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“…The network density, trade scale, and agglomeration degree increased, showing an increasingly "small-world" characteristic [25]. The network pattern evolved from the unbalanced pattern of United States dominance and few discrete cores to the balanced pattern of multi-core agglomeration with Russia, the United States, Thailand, and other important grain-exporting countries [26,27]. In addition, Ying et al [28] previously presented a useful demonstration.…”

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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Research on Global Grain Trade Network Pattern and Its Driving Factors

Cited by 22 publications

References 62 publications

Evolution Characteristics and Influencing Factors of Global Dairy Trade

Evolution Characteristics and Influencing Factors of Global Dairy Trade

Evaluating resource utilization efficiency in urban land construction of Yangtze river economic zone under technological progress

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

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