scholarly journals The Research on Impact Factors and Characteristic of Cultivated Land Resources Use Efficiency---take Henan Province, China as a Case Study

IERI Procedia ◽  
2013 ◽  
Vol 5 ◽  
pp. 2-9 ◽  
Author(s):  
Wang Kaiyong ◽  
Zhang Pengyan
2011 ◽  
Vol 356-360 ◽  
pp. 2921-2924 ◽  
Author(s):  
Zhi Min Zhou

Based on the background of construct the national grain strategy project of Henan province core and construct Zhongyuan Economic Zone, considering the Henan province's cultivated land resources use efficiency and food security, using multiple linear regression model to analyze the cultivated land resources’s use efficiency between 1999-2008 of Henan province, drew this decade, cultivated area remain basically stable, cultivated land utilization overall efficiency is high, and established the food production, even in successive years grain output reached a high yield, population density, urbanization rate, per capita GDP, multiple crop index, per hectare fertilizer rate is the greatly influenced factors of influence cultivated land resource utilization efficiency. Finally, proposed to improve the cultivated land resource utilization efficiency of Henan province and rational utilization of cultivated land resources countermeasures.


2021 ◽  
Vol 13 (6) ◽  
pp. 3348
Author(s):  
Li Chen ◽  
Qing Wang

The contradiction between population and cultivated land has always been an urgent global problem, and one that is particularly prominent in China. Based on the spatial–temporal evolution of cultivated land, this paper discusses the human–land contradiction and its development trend. Then, according to the threshold of human–land contradiction and different protection objectives, the priority protection area of cultivated land was simulated. The results showed that: (1) the cellular automata (CA)–Markov model is suitable for the study area. The cultivated land in the study area increased at a rate of 4.40 sq km per year; (2) the spatial and temporal change in the cultivated land in Songpan was the largest. The center of gravity of cultivated land is moving to the northeast, and the moving rate is increasing year on year; (3) 90% of the study area was in the human–land coordination and the change in the ratio of accumulation and cultivation in some areas (such as Songpan) is increasing, making the human–land contradiction worse; (4) under a protection target of 25–100%, the priority protection area of cultivated land increased from 2.05 × 103 km2 to 3.46 × 103 km2, and the patch aggregation degree was strengthened. This study was of great significance for optimizing the distribution of cultivated land and promoting the sustainable development of land resources.


2013 ◽  
Vol 5 (1) ◽  
pp. 16 ◽  
Author(s):  
Orphanopoulos Damaris ◽  
Verbist Koen ◽  
Chavez Alvaro ◽  
Soto Guido

Author(s):  
Ling He ◽  
Qing Yang ◽  
Xingxing Liu ◽  
Lingmei Fu ◽  
Jinmei Wang

As the impact factors of the waste Not-In-My-Back Yard (NIMBY) crisis are complex, and the scenario evolution path of it is diverse. Once the crisis is not handled properly, it will bring adverse effects on the construction of waste NIMBY facilities, economic development and social stability. Consequently, based on ground theory, this paper takes the waste NIMBY crisis in China from 2006 to 2019 as typical cases, through coding analysis, scenario evolution factors of waste NIMBY crisis are established. Furtherly, three key scenarios were obtained, namely, external situation (E), situation state (S), emergency management (M), what is more, scenario evolution law of waste NIMBY crisis is revealed. Then, the dynamic Bayesian network theory is used to construct the dynamic scenario evolution network of waste NIMBY crisis. Finally, based on the above models, Xiantao waste NIMBY crisis is taken as a case study, and the dynamic process of scenario evolution network is visually displayed by using Netica. The simulation results show that the scenario evolution network of Xiantao waste NIMBY crisis is basically consistent with the actual incident development process, which confirms the effectiveness and feasibility of the model.


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