Domestic sports goods manufacturing industry overall development status is better Date:2014-10-28 09:10
China’s sports product manufacturing industry in East China has the highest share of sales revenue, and maintains a sustained and stable growth. Its product sales revenue has increased from the 1,873 thousand yuan in 2003 to the proportion of regional sports product manufacturing sales revenue. It also showed a steady upward trend with an increase of 261.79%. The sales revenues of the sports products manufacturing industry in North China, Northeast China, Central China, Northwest China, and Southwest China are relatively similar, but there are some differences in the development and evolution in the past seven years. In particular, it is worth mentioning that in central and southwestern China, the absolute value of sales revenue of sporting goods manufacturing products in the two regions is not high, but the increase rate is very significant, reaching 4595.75% and 1379.95% respectively. North China and Northeast China also showed a steady increase. Trends, while negative growth in the Northwest (-91.11%). From a nationwide perspective, in 2003, the sales volume of China's sports products manufacturing industry achieved a 203.83% increase, indicating that the overall development of domestic sportswear manufacturing industry is in a good state. Panel cointegration model estimation and test. Unit root test of panel data In order to avoid the problem of "pseudo-regression" caused by non-stationary time series, the stability of the data should be checked first, ie, the unit root test of the panel data. In order to ensure the robustness of the test results, four types of tests were used in this paper. The main reason for this is that the variables are logarithmic in the form of logarithms. The main reason is that the difference of the logarithm of the variables is approximately equal to the change rate of the variable, and the change of economic variables. The rate is often a stable sequence and is therefore suitable for inclusion in the classical regression equation. On the other hand, it is also intended to reflect the long-run elastic relationship between the level of cultural education, national income, and the development of sporting goods manufacturing. Test level test First-order difference test level test First-order difference test conclusion Note: The data in parentheses indicate the significance level of the corresponding statistical test. The test form includes only the intercept item and does not include the trend item. The selection of the lag order is based on the SCI information. The criteria are determined.
China’s sports product manufacturing industry in East China has the highest share of sales revenue, and maintains a sustained and stable growth. Its product sales revenue has increased from the 1,873 thousand yuan in 2003 to the proportion of regional sports product manufacturing sales revenue. It also showed a steady upward trend with an increase of 261.79%. The sales revenues of the sports products manufacturing industry in North China, Northeast China, Central China, Northwest China, and Southwest China are relatively similar, but there are some differences in the development and evolution in the past seven years. In particular, it is worth mentioning that in central and southwestern China, the absolute value of sales revenue of sporting goods manufacturing products in the two regions is not high, but the increase rate is very significant, reaching 4595.75% and 1379.95% respectively. North China and Northeast China also showed a steady increase. Trends, while negative growth in the Northwest (-91.11%). From a nationwide perspective, in 2003, the sales volume of China's sports products manufacturing industry achieved a 203.83% increase, indicating that the overall development of domestic sportswear manufacturing industry is in a good state. Panel cointegration model estimation and test. Unit root test of panel data In order to avoid the problem of "pseudo-regression" caused by non-stationary time series, the stability of the data should be checked first, ie, the unit root test of the panel data. In order to ensure the robustness of the test results, four types of tests were used in this paper. The main reason for this is that the variables are logarithmic in the form of logarithms. The main reason is that the difference of the logarithm of the variables is approximately equal to the change rate of the variable, and the change of economic variables. The rate is often a stable sequence and is therefore suitable for inclusion in the classical regression equation. On the other hand, it is also intended to reflect the long-run elastic relationship between the level of cultural education, national income, and the development of sporting goods manufacturing. Test level test First-order difference test level test First-order difference test conclusion Note: The data in parentheses indicate the significance level of the corresponding statistical test. The test form includes only the intercept item and does not include the trend item. The selection of the lag order is based on the SCI information. The criteria are determined.
Dish Rack,dish drying rack,kitchen dish rack,dish drainer rack,dish rack sink,etc. The materials used are 304 stainless steel, easy to clean, never rust!
China Kichen Rack,Sink Grid,Stainless Mesh Storage Baskets,Kitchen Wire Storage, we offered that you can trust. Welcome to do business with us.
Kichen Rack is made of high quality 304 stainless steel, This kind of material steel luxury, never rust, resist corruption, easily clean, safe, healthy and durable. Prevent rust or chemicals from contaminating food and damaging health
kitchen dish rack,dish drainer rack,dish rack sink,Kitchen drying rack,Stainless steel drying rack
Shenzhen Lanejoy Technology Co.,LTD , https://www.szbrassnuts.com