Study on Land Use Structural Change Based on Information Entropy

2011 ◽  
pp. 49-51
Author(s):  
Saiming Yang
Keyword(s):  
Land Use ◽  
Structural Change ◽  
Information Entropy

scholarly journals What Drives Farm Structural Change? An Analysis of Economic, Demographic and Succession Factors

Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 438
Author(s):  
Alessandro Corsi ◽  
Vito Frontuto ◽  
Silvia Novelli
Keyword(s):  
Land Use ◽  
Structural Change ◽  
Conceptual Framework ◽  
Demographic Variables ◽  
Agricultural Area ◽  
Farm Size ◽  
Family Farms ◽  
Italian Region ◽  
Natural Land ◽  
Individual Farm

The evolution of farm size and land use are important determinants of the efficiency and profitability of agriculture and the configuration of the territory. In this paper, a conceptual framework of the evolution of the number of farms and land use is presented, arguing that a major determinant of the change in the number of farms is the presence or absence of successors to ageing farmers and that these socio-demographic variables shape the evolution of the sector in terms of farm size, while they do not significantly affect the changes in the farmed area. This hypothesis was empirically tested with data drawn from individual farm records of the Italian Agricultural Censuses of 2000 and 2010—aggregated at the municipality level for an Italian region—by estimating regressions on the decrease rates of the number of farms, the utilised agricultural area and the total agricultural area. The results support the conclusion that the change in the number of farms was largely determined by the absence of successors in family farms and by the average operators’ age, unlike the change in the farmed area, for which natural land conditions were the main drivers.

A Study on the Structural Change of Land Use for Energy Saving in Xinchang County with Application of Ecological Materials Based on Lorenz Curve and Gini Coefficient

2012 ◽  
Vol 578 ◽  
pp. 35-40
Author(s):  
Ju Er Tong ◽  
Ci Fang Wu ◽  
Hui Wang ◽  
Chuan Bing Zhu
Keyword(s):  
Land Use ◽  
Structural Change ◽  
Quantitative Analysis ◽  
Energy Saving ◽  
Gini Coefficient ◽  
Lorenz Curve ◽  
Structure Change ◽  
Land Use Structure ◽  
Ecological Applications ◽  
Conducive Environment

This study conducted the quantitative analysis on the structure change of land use in Xinchang County using Lorenz curve and Gini coefficient. The results revealed the characteristics and evolution of the county's land use structure change and suggested that the county increase the distribution rate of woodland and other ecological applications for a carbon source reduced, energy saving and ecology-conducive environment.

scholarly journals Land-Use Change and Efficiency in Laos’ Special Economic Zones

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1012
Author(s):  
Dongxue Li ◽  
Xingping Wang
Keyword(s):  
Land Use ◽  
Information Entropy ◽  
Structural Evolution ◽  
Gray Relational Analysis ◽  
Land Use Intensity ◽  
Special Economic Zones ◽  
Land Use Efficiency ◽  
Medium Intensity ◽  
Use Efficiency ◽  
Economic Zones

Special economic zones (SEZs) are important in Laos due to their ability to attract foreign investment, realize industrialization, and promote economic globalization. Based on Laos’ SEZs in operation, this study explored land-use intensity, structural evolution and land-use efficiency in Laos’ SEZs via the land-use dynamic degree, information entropy, super-efficiency data envelopment analysis (DEA) and gray relational analysis (GRA). The study determined that the total land-use area in Laos’ SEZs continuously increased from 2014 to 2020. The land-use intensity changes in the SEZs can be divided into three types, i.e., high intensity, medium intensity and low intensity, and most SEZs belonged to the medium-intensity type. The proportion of land used in production systems in Laos’ SEZs increased the most, and the proportion of infrastructure land notably decreased. The overall information entropy of the land-use structure exhibited an initial downward and then an upward trend. In 2018, the land-use efficiency in the Savan-Seno SEZ, Vientiane Industrial and Trade Area, Dongphosy SEZ, and Golden Triangle SEZ was relatively optimal. The basic factors of the industrial space and the factors reflecting international cooperation attributes were highly related to the land-use efficiency in Laos’ SEZs.

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