scholarly journals Evaluation and Influencing Factors of Sustainable Development Capability of Agriculture in Countries along the Belt and Road Route

2019 ◽  
Vol 11 (7) ◽  
pp. 2004 ◽  
Author(s):  
Minjie Li ◽  
Jian Wang ◽  
Yihui Chen

Agriculture is increasingly facing major challenges such as climate change, scarcity of natural resources, and changing societal demands. To tackle these challenges, there is a pressing need to evolve towards more sustainable agricultural practices. As a result, sustainability stands among the most relevant topics in agricultural research worldwide, and countries along the Belt and Road (B&R) route are no exception. This paper selected 25 indicators from the five subsystems of population, society, economy, environment, and resources in order to build an evaluation index system of agricultural sustainable development capability, and then it used an improved entropy weight method, technique for ordering preference by similarity to an ideal solution (TOPSIS), and coordination degree method to measure the comprehensive capability and coordination of agricultural sustainable development of all countries along the B&R route from 2006 to 2015. First, according to the time dimension, the comprehensive score of sustainable development capability of agriculture along the B&R route: This had an average annual score of 0.3195 which initially decreased, then increased in a fluctuating manner, before finally falling again. Second, according to the spatial dimension, the average comprehensive score of agricultural sustainable development capability showed an evolutionary trend of ‘high–low–high–low–high’ from west to east, which showed an obvious basic spatial pattern of the ‘W’ type. Third, from the perspective of the subsystems of agriculture, although the coordination degree among subsystems in the main grain-producing areas increased continually from 2006 to 2015, the overall level of development needed to be further improved. In order to further clarify the main factors affecting the capability of agricultural sustainable development, this paper selected six explanatory variables: The level of economic development, financial expenditure for agriculture, agricultural foreign direct investment, agricultural labor force, the intensity of agricultural R&D investment, and the level of agricultural informatization. Then, geographically and temporally weighted regression was applied to evaluate the direction and degree of influences of selected factors on sustainability development capability of agriculture. The results showed that the regression coefficients of each variable in 53 countries were positive or negative, which indicated that the influencing factors of agricultural sustainable development capacity had the characteristics of geospatial nonstationarity.

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yinyin Wang ◽  
Conghua Xue ◽  
Huimin Li ◽  
Kaizhi Yu

Analyzing the evolution characteristics and influencing factors of marine economic efficiency is the foundation to improve the quality of marine economic development. A super-efficiency Slacks-Based Measure (SBM) model is applied to measure the marine economic efficiency of 11 coastal provinces between 2006 and 2017 in China. Time series and standard deviation ellipse methods are used to analyze its temporal and spatial characteristics. The influencing factors of efficiency are analyzed using the Bayesian model averaging (BMA) method based on the indicator system constructed on the relationship between the Belt and Road and marine economic efficiency. The research found that (1) the average change of marine economic efficiency is not large, and the efficiency values among most provinces are relatively stable. (2) The center of gravity of marine economic efficiency gradually shifts from the northeast to the southwest; the spatial scope continues to shrink, the level of flatness indicates increase at first followed by decrease, and the direction angle shows a fluctuating trend. (3) The compliance rate of industrial wastewater discharge and the diversification of the marine industry structure have strong explanatory capacity in marine economic efficiency in the coastal areas. This research proposed the specific path to improve the efficiency of marine economy and facilitate quality development under the “Belt and Road” initiative from the aspects of the optimization of the marine industry structure, the integrated construction of transportation, the development of opening to the outside world, the progress of marine science and technology, and the improvement of the marine ecological environment.


2019 ◽  
Vol 11 (8) ◽  
pp. 2297 ◽  
Author(s):  
Yuanbo Li ◽  
Xufeng Zhu

During the initial implementation of the 2030 Agenda for Sustainable Development (the 2030 Agenda), the Second Ministerial Meeting of the Forum of China and the Community of Latin American and Caribbean States (CELAC) was held in Santiago, Chile, in January 2018. During this forum, China officially invited 33 countries in Latin America and the Caribbean (LAC) to join the Belt and Road Initiative (BRI). This study links three important global governance issues: The 2030 Agenda, China-LAC relations and BRI. The authors attempt to analyze how China’s BRI in the LAC region can learn from the 2030 Agenda of the United Nations with 17 sustainable development goals (SDGs). This study shows that although China and the LAC region have strong political, economic and trade relationships, they must deepen dialogues and cooperation on sustainable development, especially the 2030 Agenda with 17 SDGs, which can be inspirations for China’s BRI in this region. BRI, which aligns with the 2030 Agenda and contributes to Chinese experience in development, can generate new opportunities for the LAC region to implement such an agenda. However, the challenges and risks of BRI cannot be ignored, and adequate answers and solutions should be provided to allow BRI to achieve a win–win outcome for China and LAC countries. The authors also examine the alignment of China’s policies towards LAC and BRI with the 2030 Agenda (17 SDGs) and the involvement of each SDG in these policies as the 2030 Agenda (17 SDGs) should be considered in policy-making for China’s BRI in the LAC region. Moreover, on the basis of previous analyses, suggestions for a successful BRI in the LAC region in six sectors are proposed in the context the 2030 Agenda.


One Earth ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 263-267
Author(s):  
Wei Liu ◽  
Alice C. Hughes ◽  
Gulshan Sachdeva ◽  
Divya Narain ◽  
Taidong Zhou ◽  
...  

2021 ◽  
Vol 13 (20) ◽  
pp. 11216
Author(s):  
Bin Wang ◽  
Ao Sun ◽  
Qiuxia Zheng ◽  
Dianting Wu

There is a global need to jointly build the green Belt and Road Initiative (BRI) in order to develop a philosophy of ecological civilisation and achieve sustainable development. This paper aims to analyse the temporal and spatial characteristics of the green development cooperation (GDC) network among BRI regions and countries and explore the reasons for its formation. To this end, the first step was to analyse the spatial and temporal characteristics of green development capability in six regions of 104 BRI countries from 2013 to 2019 using the synthetic evaluation model and entropy method. Next, social network analysis was used to analyse three characteristics of the GDC network: network structure, node structure, and community structure. Moreover, the indicators of network strength and network correlation were used to estimate the structural characteristics of the entire GDC network, while degree centrality, betweenness centrality, and closeness centrality were used to estimate the role and status of countries in the GDC network. In addition, modularity optimisation was used to analyse the community structure and regional effects of the GDC network. The results show that (1) the green development capability of the BRI countries has spatial and temporal heterogeneity. (2) The GDC network among the BRI countries has been initially formed, and has the characteristics of high connectedness, high efficiency, low density, and low hierarchy. (3) The GDC network has community structure and regional effect, showing polycentric and hierarchical characteristics. (4) China, Russia, and the European countries have stronger radiating and controlling power. Central Asian countries along the land Silk Road and Indian Ocean countries along the maritime Silk Road play a significant role as intermediaries and bridges, while the BRICS and Shanghai Cooperation Organisation (SCO) countries play a vital role as the central actors. Finally, some theoretical and practical implications are put forward to provide a blueprint for jointly achieving the sustainable development goals.


2019 ◽  
Vol 11 (17) ◽  
pp. 4724 ◽  
Author(s):  
He ◽  
Cao

With the in-depth implementation of the “Belt and Road” initiative (BRI), the investment patterns between Belt and Road countries have also become more complicated. The impact of this complex investment network on regional economic development is also growing. To reveal the complexity of this investment pattern, and to better promote the sustainable development of the region’s economy, this paper used the complex network method to study the foreign direct investment(FDI) network of 50 countries along the Belt and Road from 2003 to 2017, revealing its structural and behavioral characteristics and evolution process. The results showed that the imbalance of the investment network structure is outstanding, and preferential selection behavior is obvious. The Central and Eastern European countries show significant clustering behavior. In addition, the network evolved slowly and followed the “Pareto rule” in the early stages of its evolution. The BRI was a turning point in the evolution process. On this basis, the quadratic assignment procedure (QAP) regression analysis method was used to further study the factors affecting the formation process of this investment pattern. It found that economic development level, geographical distance, and bilateral trade were the main influencing factors. Among them, bilateral trade had the greatest impact on the pattern of network.


2020 ◽  
Vol 2 ◽  
pp. 100009 ◽  
Author(s):  
Renato Benintendi ◽  
Elena Merino Gòmez ◽  
Gianluigi De Mare ◽  
Antonio Nesticò ◽  
Gianpaolo Balsamo

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