Cooperatives as competitive yardstick in the hog industry?—Evidence from China

Agribusiness ◽  
2019 ◽  
Vol 36 (1) ◽  
pp. 127-145 ◽  
Author(s):  
Qiao Liang ◽  
Xinxin Wang
Keyword(s):  
Hog Industry

scholarly journals Statistical Significance and Stability of the Hog Cycle

1986 ◽  
Vol 18 (2) ◽  
pp. 227-234 ◽  
Author(s):  
J. Scott Shonkwiler ◽  
Thomas H. Spreen
Keyword(s):  
Time Series ◽  
Cycle Length ◽  
Statistical Significance ◽  
The United States ◽  
Time Series Models ◽  
Hog Industry ◽  
Point Estimates ◽  
Bootstrap Technique ◽  
Cyclical Fluctuations ◽  
Cycle Lengths

AbstractCyclical fluctuations in prices and production have long characterized the United States hog industry. Recent evidence suggests that the length of the hog cycle has changed. In order to determine whether the change in cycle length is statistically significant, the bootstrap technique is employed to derive confidence intervals for point estimates of the hog cycle. Application of the bootstrap technique to time series models is discussed and empirical results are presented. It is concluded that the hog cycle is undergoing rather complicated changes based on cycle lengths that are calculated to be statistically different from zero.

Research on Regional Comprehensive Production Capacity of Hog Industry in China with the Constraints of Resources and Environment

2014 ◽  
Vol 962-965 ◽  
pp. 2452-2459
Author(s):  
Xiao Zhen Liang ◽  
Xiu Li Liu ◽  
Feng Mei Yang
Keyword(s):  
Index System ◽  
Production Capacity ◽  
Production Costs ◽  
Evaluation Methodology ◽  
Current Status ◽  
Systematic Evaluation ◽  
Hog Industry ◽  
Comprehensive Production ◽  
Hog Production ◽  
The Index System

This paper designed a systematic evaluation methodology to study the regional comprehensive production capacity of hog industry in China. A three-layer evaluation index system of comprehensive production capacity of hog industry was established. The index system included 26 indicators and mainly covered seven respects, namely natural resource condition, feed supply capacity, current status of hog production, costs and returns of hog production, agricultural foundation, support capability of animal science and technology, and ecological environment condition. Then based on the index system, applied entropy weight method, grey relational analysis and principal component analysis, the comprehensive production capacity of hog industry of 31 provinces and municipalities in China in 2000, 2005 and 2010 was evaluated respectively. The consistency of these three methods was examined by Mann-Kendall test. A combined evaluation was conducted and reasons led to the great variation in ranking for some provinces and municipalities during the period of 2000-2010 were analyzed. Applied hierarchical clustering method, 31 provinces and municipalities were divided into four groups and the regions which were appropriate for hog farming and which were not were figured out.

scholarly journals Correction of Measurement Error in Monthly USDA Pig Crop: Generating Alternative Data Series

2008 ◽  
Vol 40 (2) ◽  
pp. 697-711 ◽  
Author(s):  
In-Seck Kim ◽  
Ronald L. Plain ◽  
J. Bruce Bullock ◽  
Sang Young Jei
Keyword(s):  
Measurement Error ◽  
Production Process ◽  
Prior Knowledge ◽  
Measurement Errors ◽  
Data Series ◽  
Test Results ◽  
Department Of Agriculture ◽  
Biological Production ◽  
Hog Industry ◽  
The U.S

The imputed pig death loss contained in the reported monthly U.S. Department of Agriculture (USDA) pig crop data over the December 1995-June 2006 period ranged from —4.93% to 12.75%. Clearly, there are substantial measurement errors in the USDA monthly pig crop data. In this paper, we present alternative monthly U.S. pig crop data using the biological production process, which is compatible with prior knowledge of the U.S. hog industry. Alternative pig crop data are applied to a slaughter hog model and tested comparatively to USDA pig crop. Test results reject the validity of USDA pig crop data in favor of the alternative data.

scholarly journals Influence and Prospect of Chinese Hog Futures- Live Hog Industry Perspective

2021 ◽  
Author(s):  
Yi Guo ◽  
Jiajun Luo ◽  
Ruining Zhu ◽  
Chengzong Li
Keyword(s):  
Hog Industry
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