Junan, Guangdong Province, to the casting, “the world’s cowboy, cowboy of the world” one step closer to the goal, all Fu An International Jeans City, also in the second phase of the project has laid the foundation stone.

Shunde Junan to denim garments industry, the main fighting industry, 10 years formed the textile, pulp dyeing, clothing, washing jeans a complete industrial chain of production. Cowboy town has more than 400 garment enterprises, more than 200 fabrics firm. The long-term export-oriented garment processing, so that both an ownership in the Guangdong region’s leading large-scale high-end fabric market and the unique washing process, in order to have an high-quality denim clothing lay a solid foundation. To undertake the processing of orders for internationally renowned brands, and also allows access to and the Cowboys are an international fashion trends like the ability to design synchronization. Jeans are an industry, thus building its own advantages, excellent production technology, advanced design capabilities, a sound basis for supporting industries, to become an international well-known brands such as Chanel denim garment processing base of choice, enjoy a high reputation in the European and American markets. Are an “the world cowboy, cowboy of the world” reputation spread.

Jun’an are a lot of denim garments, but a smaller scale. To highlight the jeans are an added advantage of industry as a whole, integrating local industry resources to enhance the core competitiveness of local industries, Jun’an government has formulated a policy of affirmative denim industry, put forward a comprehensive upgrade local industries “112″ strategy. Namely, “a base, a platform for the two brands” strategic objective. Jeans are an international city that is both an important platform for industry development jeans. Chevalier International Jeans City, the first phase project was completed and put into use in July, foreign businessmen for more than 40% occupancy rate, demand strong, well-run, a strong development momentum. Two works include the exposition center, management center, denim fabric research and development center, covering 120 mu, a total investment of 120 million yuan. After the completion of the second phase, China’s largest city will be taking shape cowboy.

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Regression analysis:

Introduction:

An increase in employee benefits is likely to increase job satisfaction levels, the AIU data set contains intrinsic, overall and extrinsic variables that measure employee satisfaction, using the benefits variable as the independent variable models that show the relationship between benefits and the job satisfaction variables are estimated. it is expected that as benefits increase then all the other variables will increase, meaning that when employees are satisfied with benefits such as wages and salaries then their satisfaction is likely to increase, therefore increasing benefits satisfaction will increase satisfaction levels.

1. Benefits variable versus intrinsic variable:

In this model the intrinsic variable is set as the dependent variable while the benefit variable is set as the independent variable, the estimated model take the form Yi = B0 + B1X where Y is intrinsic and X is benefits, it is expected that the value of B1 will be positive given that as benefits variable increase the intrinsic variable also increases, the following is a summary of the excel output. (Stuart, 1998)

Multiple R

0.215

R Square

0.046

Adjusted R Square

0.005

Standard Error

1.028

Observations

25.000

ANOVA

df

SS

MS

F

Significance F

Regression

1.000

1.183

1.183

1.120

0.301

Residual

23.000

24.298

1.056

Total

24.000

25.482

Coefficients

Standard Error

t Stat

P-value

Lower

95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

3.240

1.822

1.778

0.089

-0.530

7.009

-0.530

7.009

BENEFITS

0.349

0.330

1.058

0.301

-0.333

1.031

-0.333

1.031

2. Benefits variable versus extrinsic variable:

The extrinsic variable is set as the dependent variable while the benefit variable is set as the independent variable, the estimated model take the form Yi = B0 + B1X where Y is extrinsic and X is benefits, the following is a summary of the excel output

Multiple R

0.381

R Square

0.145

Adjusted R Square

0.108

Standard Error

0.971

Observations

25.000

ANOVA

df

SS

MS

F

Significance F

Regression

1.000

3.678

3.678

3.905

0.060

Residual

23.000

21.663

0.942

Total

24.000

25.342

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

8.235

1.721

4.786

0.000

4.675

11.79

4.675

11.79

BENEFITS

-0.615

0.311

-1.97

0.060

-1.259

0.029

-1.26

0.029

3. Benefits variable versus the overall variable:

For this model the overall variable is set as the dependent variable while the benefit variable is set as the independent variable, the estimated model take the form Yi = B0 + B1X where Y is overall and X is benefits, the following is a summary of the excel output

Multiple R

0.024

R Square

0.001

Adjusted R Square

-0.043

Standard Error

1.063

Observations

25.000

ANOVA

df

SS

MS

F

Significance F

Regression

1.000

0.015

0.015

0.013

0.910

Residual

23.000

25.984

1.130

Total

24.000

25.998

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

5.422

1.885

2.877

0.009

1.523

9.320

1.523

9.320

BENEFITS

-0.039

0.341

-0.114

0.91

-0.744

0.666

-0.74

0.666

4. Graphs:

The following are scatter diagrams for the estimated models, graphs show the estimated model, and the R squared value and the trend line. (Stuart, 1998)

Benefits variable versus intrinsic variable:

The chart shows that there is a positive relationship between intrinsic and benefit, the estimated model is Y = 3.2396 + 0.3489 X, where X is benefits and Y is intrinsic. The y intercept value is 3.2396 and the slope is 0.3486, The R squared value is 0.0484.

Benefits variable versus extrinsic variable:

The chart shows that there is a negative relationship between extrinsic and benefit, the estimated model is Y = 8.2347 – 0.6152 X, where X is benefits and Y is extrinsic. The y intercept value is 8.2347 and the slope is – 0.6152, The R squared value is 0.1451.

Benefits variable versus the overall variable:

The chart shows that there is a negative relationship between overall and benefit, the estimated model is Y = 5.4218 -0.0399 X, where X is benefits and Y is overall. The y intercept value is 5.4218 and the slope is -0.0399, The R squared value is 0.0006.

Similarities and differences:

Two the model have a negative slope value showing that there is a negative relationship between the dependent variable and the independent variable, however the first model has a positive slope showing that there is a positive relationship between variables. The second model (Benefits variable versus extrinsic variable) has the highest R squared value and therefore the correlation between the variables is high. (Stuart, 1998)

Conclusion:

The above analysis shows how the benefit variable can be used to predict satisfaction value, benefits is positively related to intrinsic while benefits versus extrinsic and benefits versus overall are negatively related. The second model benefits versus extrinsic has the highest R squared value although its slope value is negative.

References:

Alexander Stuart (1998). Statistics: An Introduction, New York: McGraw hill press

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Guihua Gang leather business district in Guangzhou last decade, various professional leather goods market has been around a “rent not for sale”, every shop is selling three to five years all forms of tenure, property ownership Jie Wei mall big brother of all, a very small property owners difficult to have a property shops. However, this situation can be changed recently, it is learned, located in the shopping district of Wan Li Pi has been available with the city, the mall’s biggest selling point is 40 years of property rights.

It is understood that Guihua Gang leather shopping district is dotted with 25 leather professional wholesale market and is the country’s largest wholesale leather goods, domestic market sales of luggage, 50% from here. As the great profit margins, Guihua Gang shopping district surrounding the professional leather goods market has been a “rent not buy”, just that, with “40-year property” as a selling point with the city side of City 10000 Lipi, they were great attention.

According to reports, Renaissance International Leather City, belongs to integrated project, a total of 20-storey, 16-story apartment above them in the last year, already sold, the recent market is the following four shops. This is part of the Product Management area of 1 million square meters, the main shop area with 10-40 square meters.

Real estate marketing official said, and Guangzhou to other shops in most of the professional market-oriented investors, selling is different is that the international leather Renaissance city hopes to build the original leather base, so they tend to own businesses for sale, and will provide these customers certain amount of home purchase offers.
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