Research Article

Competitiveness Evaluation of Chinese Dairy Industry Based on Accelerated Genetic Algorithm Projection Pursuit Model

Table 1

Summary of competitiveness evaluation indexes of dairy industry.

Scholar (year)Evaluation index system

Wijnands et al. (2010) [47]Growth in export share on the world market, annual growth in labor productivity of the daily industry, and annual growth in real value added of the food industry
Nica (2017) [48]Net turnover, average number of employees, work productivity, gross profit, and profit rate
Ramphul (2019) [49]Cost of milk production, farm size, infrastructure for milk collection, milk processing capacity, and quality of dairy products
Seyiti and Deng (2013) [42]Raw milk share, capital share, location quotient, market share, total labor productivity, asset profit rate, per capita GDP index, and technical market turnover index
Ma and Yang (2017) [38]The number of cows on hand, the output of raw milk, the area of pasture land, the average number of all employees, the annual per capita consumption of dairy products, the total profit, the annual disposable income, sales revenue, the average price of fresh milk, the total assets, the asset liability ratio, the number of dairy enterprises, the number of breeding bull stations selected for premium seed subsidy, the number of feed processing enterprises, the number of technicians, and the credit environmental science
Han and Cheng (2015) [41]Share of raw milk, share of capital, proportion of regional output value to total output value, relative specialization coefficient, market share, product sales rate, cost profit rate, asset profit rate, sales profit rate, total labor productivity, average growth rate of total assets, and increase of sales revenue rate
Xu (2019) [50]Milk production, per capita share of rattan, total assets of dairy industry, profit, market share of dairy enterprises, value-added tax payable by dairy enterprises, and asset liability ratio of dairy industry