A lottery ticket is a numbered security that is sold at face value. After the lottery is drawn, those who hold the winning number ticket can claim the prize according to regulations. It is an entertainment game based on equal opportunities and characterized by fair competition. The purpose of the state issuing lottery is to raise public funds and fund the development of social public undertakings such as welfare and sports. Therefore, lottery has a special status of redistributing idle social funds and coordinating social contradictions and value.
However, lottery is essentially a legal gambling behavior, which conforms to the characteristics of gambling activities in which a small amount of money is used to make a big gain. Therefore, lottery purchase preference is considered to be a typical expression of gambling preference. Therefore, we can study the following issues by analyzing lottery sales in various regions:
- Gambling culture and corporate innovation. Gamble preference is a strong determinant of corporate innovative behavior, and the gambling preferences of investors and managers appear to influence firms' innovation preferences and help convert their industry growth opportunities into firm value.
- Gambling culture and the stock market. China's stock market often reflects investors' gambling preferences. Using per capita welfare lottery and sports lottery sales to describe gambling culture, we can identify the impact of gambling preferences in each region on local investors' participation in the stock market. Influence.
At present, China has two major series of public participation lotteries: "China Welfare Lottery" and "China Sports Lottery". Lottery characteristics can be divided into Lotto digital type, Zhongfu online, instant type, video type, Keno type, guessing typeetc.
CnOpenData systematically organizes China's lottery sales data, summarizes lottery sales from three aspects: Nationally, by type, and by region, providing high-quality data resources for related research.
Time interval
National lottery sales table: 2008.01-2022.12
Table of sales of lottery tickets by type: 2009.04-2022.12 (data in February 2020 has not been disclosed)
Table of lottery sales by region: 2008.01-2022.12 (data in February 2020 has not been disclosed)
Field display
| National lottery sales table fields | Classified lottery sales table fields | Lottery sales table fields by region |
|---|---|---|
| Year and Month | Year and Month | Year and Month |
| Welfare lottery: Lotto digital type (100 million yuan) | Type | Region |
| Welfare lottery: Zhongfu Online (100 million yuan) | Sales for the current month (100 million yuan) | Welfare lottery sales for the month (10,000 yuan) |
| Welfare lottery: instant type (100 million yuan) | Sales in the same month last year (100 million yuan) | Welfare lottery sales for the month increased compared with the same period last year (%) |
| Welfare lottery: video type (100 million yuan) | Monthly sales growth year-on-year (%) | Welfare lottery sales increased by % over the previous month |
| Welfare lottery: Keno type (100 million yuan) | Monthly sales growth (%) | Cumulative sales of welfare lottery tickets for the year (10,000 yuan) |
| Welfare Lottery: Subtotal (100 million yuan) | Cumulative sales for the year (100 million yuan) | Cumulative sales of welfare lottery tickets increased year-on-year (%) over the same period last year |
| Welfare Lottery: Accumulated from 1 to this month (100 million yuan) | Cumulative sales last year (100 million yuan) | Sports lottery sales for the month (10,000 yuan) |
| Sports lottery: Lotto digital type (100 million yuan) | Cumulative sales growth for the year (%) | Sports lottery sales increased by % over the same period last year |
| Sports lottery: guessing type (100 million yuan) | Sports lottery sales increased by % over the previous month | |
| Sports Lottery: Instant (100 million yuan) | Cumulative sales of sports lottery for the year (10,000 yuan) | |
| Sports lottery: video type (100 million yuan) | Cumulative sales of sports lottery increased by % over the same period last year | |
| Sports Lottery: Subtotal (billion yuan) | Total sales for the month (10,000 yuan) | |
| Sports Lottery: Total from 1 to this month (100 million yuan) | The total sales of the month increased (%) compared with the same period last year | |
| Total (100 million yuan) | The total sales of the current month increased (%) compared with the previous month | |
| Cumulative sales for the year (10,000 yuan) | ||
| Cumulative sales for the year increased (%) over the same period last year | ||
| Sales cumulative sorting |
Sample data
National lottery sales table
| Year and Month | Welfare lottery: Lotto digital type (100 million yuan) | Welfare Lottery: Zhongfu Online (100 million yuan) | Welfare Lottery: Instant (100 million yuan) | Welfare lottery: video type (100 million yuan) | Welfare lottery: Keno type (100 million yuan) | Welfare Lottery: Subtotal (100 million yuan) | Welfare Lottery: Accumulated from 1 to this month (100 million yuan) | Sports lottery: Lotto digital type (100 million yuan) | Sports lottery: guessing type (100 million yuan) | Sports Lottery: Instant (100 million yuan) | Sports lottery: video type (100 million yuan) | Sports Lottery: Subtotal (RMB 100 million) | Sports Lottery: Total from 1 to this month (100 million yuan) | Total (100 million yuan) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| January 2008 | 45.08 | 16.55 | 4.42 | 66.05 | 28.26 | 3.63 | 0.00 | 31.89 | 97.94 | |||||
| February 2008 | 28.81 | 3.56 | 4.18 | 36.55 | 17.65 | 4.42 | 0.00 | 22.07 | 58.62 | |||||
| March 2008 | 45.17 | 0.34 | 8.89 | 54.40 | 26.58 | 5.85 | 0.00 | 32.43 | 86.83 | |||||
| April 2008 | 43.44 | 0.14 | 10.10 | 53.68 | 25.77 | 4.51 | 8.23 | 38.51 | 92.19 | |||||
| May 2008 | 42.52 | 0.09 | 7.79 | 50.40 | 25.14 | 4.03 | 10.96 | 40.13 | 90.53 | |||||
| June 2008 | 41.98 | 0.07 | 5.57 | 47.62 | 24.07 | 2.10 | 15.41 | 41.58 | 89.21 | |||||
| July 2008 | 42.19 | 0.06 | 4.63 | 46.88 | 24.83 | 1.79 | 17.92 | 44.54 | 91.42 | |||||
| August 2008 | 39.37 | 0.05 | 4.22 | 43.64 | 25.10 | 3.39 | 12.53 | 41.02 | 84.66 | |||||
| September 2008 | 39.55 | 0.04 | 5.83 | 45.42 | 24.13 | 6.15 | 9.11 | 39.39 | 84.81 | |||||
| October 2008 | 43.49 | 0.04 | 5.80 | 49.33 | 24.20 | 5.65 | 8.59 | 38.44 | 87.77 | |||||
| November 2008 | 45.79 | 0.04 | 6.86 | 52.69 | 25.68 | 7.06 | 8.66 | 41.40 | 94.09 | |||||
| December 2008 | 48.60 | 0.03 | 8.69 | 57.32 | 28.00 | 5.29 | 11.46 | 44.75 | 102.07 | |||||
| Total 2008 | 505.99 | 21.01 | 76.98 | 603.98 | 299.41 | 53.87 | 102.87 | 456.15 | 1060.13 | |||||
| January 2012 | 72.17 | 13.28 | 13.44 | 98.88 | 98.88 | 40.02 | 14.25 | 11.39 | 65.66 | 65.66 | 164.55 | |||
| February 2012 | 84.63 | 16.74 | 16.30 | 117.68 | 216.56 | 50.33 | 19.45 | 14.71 | 84.49 | 150.15 | 202.17 | |||
| March 2012 | 97.67 | 20.29 | 18.41 | 136.37 | 352.93 | 57.31 | 23.63 | 18.49 | 99.42 | 249.57 | 235.79 | |||
| April 2012 | 95.77 | 20.78 | 16.98 | 133.53 | 486.46 | 55.42 | 28.76 | 18.05 | 102.23 | 351.80 | 235.76 | |||
| May 2012 | 103.13 | 18.46 | 18.54 | 140.13 | 626.59 | 54.51 | 24.17 | 17.36 | 96.03 | 447.83 | 236.16 | |||
| June 2012 | 90.79 | 16.22 | 18.36 | 125.37 | 751.96 | 51.86 | 23.08 | 15.83 | 90.77 | 538.60 | 216.14 | |||
| July 2012 | 90.48 | 13.97 | 19.21 | 123.66 | 875.62 | 49.05 | 16.38 | 12.89 | 78.32 | 616.92 | 201.98 | |||
| August 2012 | 84.34 | 13.02 | 19.41 | 116.77 | 992.39 | 47.78 | 20.24 | 12.33 | 80.35 | 697.27 | 197.12 | |||
| September 2012 | 84.31 | 14.42 | 19.64 | 118.37 | 1110.76 | 51.18 | 21.82 | 13.75 | 86.75 | 784.02 | 205.12 | |||
| October 2012 | 85.62 | 14.25 | 20.37 | 120.23 | 1230.99 | 60.66 | 21.69 | 12.80 | 95.15 | 879.17 | 215.38 | |||
| November 2012 | 91.75 | 15.93 | 21.00 | 128.68 | 1359.67 | 65.55 | 29.66 | 13.17 | 108.38 | 987.55 | 237.06 | |||
| December 2012 | 103.41 | 24.67 | 22.57 | 150.64 | 1510.32 | 72.79 | 25.14 | 19.44 | 117.37 | 1104.92 | 268.01 | |||
| Total 2012 | 1084.06 | 202.03 | 224.23 | 1510.32 | 656.45 | 268.27 | 180.21 | 1104.92 | 2615.24 | |||||
| January 2016 | 129.05 | 12.73 | 39.26 | 0.23 | 181.27 | 181.27 | 84.01 | 49.38 | 11.74 | 0.00 | 145.14 | 145.14 | 326.41 | |
| February 2016 | 81.37 | 12.32 | 29.56 | 0.15 | 123.41 | 304.68 | 54.92 | 35.95 | 10.26 | 0.01 | 101.14 | 246.28 | 224.54 | |
| March 2016 | 135.22 | 14.50 | 41.06 | 0.35 | 191.12 | 495.80 | 91.67 | 59.01 | 15.07 | 0.01 | 165.76 | 412.04 | 356.88 | |
| April 2016 | 126.41 | 14.53 | 38.25 | 0.30 | 179.50 | 675.30 | 93.41 | 64.21 | 11.76 | 0.01 | 169.39 | 581.43 | 348.89 | |
| May 2016 | 131.82 | 14.39 | 37.29 | 0.25 | 183.74 | 859.04 | 89.36 | 60.96 | 12.13 | 0.01 | 162.45 | 743.88 | 346.19 | |
| June 2016 | 117.31 | 10.58 | 35.72 | 0.20 | 163.81 | 1022.85 | 79.17 | 84.32 | 12.31 | 0.00 | 175.80 | 919.68 | 339.61 | |
| July 2016 | 120.61 | 9.56 | 35.87 | 0.18 | 166.22 | 1189.07 | 77.60 | 70.78 | 9.42 | 0.01 | 157.81 | 1077.49 | 324.03 | |
| August 2016 | 112.71 | 9.64 | 36.28 | 0.26 | 158.89 | 1347.96 | 77.93 | 63.76 | 9.54 | 0.01 | 151.23 | 1228.71 | 310.12 | |
| September 2016 | 116.78 | 12.59 | 35.86 | 0.21 | 165.44 | 1513.40 | 74.07 | 69.66 | 11.54 | 0.00 | 155.27 | 1383.99 | 320.71 | |
| October 2016 | 122.90 | 12.26 | 37.73 | 0.18 | 173.07 | 1686.47 | 81.45 | 73.84 | 9.91 | 0.01 | 165.20 | 1549.19 | 338.27 | |
| November 2016 | 129.63 | 11.43 | 37.37 | 0.18 | 178.61 | 1865.08 | 87.33 | 69.03 | 9.85 | 0.01 | 166.21 | 1715.40 | 344.82 | |
| December 2016 | 143.96 | 14.59 | 41.12 | 0.17 | 199.84 | 2064.92 | 89.93 | 64.02 | 12.13 | 0.01 | 166.10 | 1881.50 | 365.94 | |
| Total 2016 | 1467.77 | 149.12 | 445.36 | 2.66 | 980.87 | 764.90 | 135.65 | 0.08 | 3946.41 | |||||
| January 2017 | 117.51 | 9.59 | 34.88 | 0.15 | 162.12 | 162.12 | 71.16 | 49.08 | 9.24 | 0.01 | 129.49 | 129.49 | 291.61 | |
| February 2017 | 104.78 | 11.63 | 36.42 | 0.13 | 152.96 | 315.08 | 69.19 | 49.99 | 9.40 | 0.01 | 128.58 | 258.07 | 281.54 | |
| March 2017 | 144.21 | 11.03 | 42.89 | 0.17 | 198.30 | 513.38 | 100.26 | 67.69 | 13.07 | 0.01 | 181.03 | 439.09 | 379.33 | |
| April 2017 | 135.99 | 12.04 | 39.05 | 0.16 | 187.24 | 700.62 | 97.75 | 87.46 | 10.00 | 0.01 | 195.22 | 634.31 | 382.45 | |
| May 2017 | 131.17 | 11.31 | 39.63 | 0.16 | 182.27 | 882.89 | 95.58 | 88.04 | 11.05 | 0.01 | 194.68 | 828.99 | 376.95 | |
| June 2017 | 130.38 | 9.88 | 37.82 | 0.17 | 178.24 | 1061.13 | 85.90 | 63.46 | 10.82 | 0.01 | 160.18 | 989.17 | 338.42 | |
| July 2017 | 127.08 | 8.52 | 38.39 | 0.20 | 174.18 | 1235.30 | 86.51 | 67.77 | 9.09 | 0.01 | 163.37 | 1152.54 | 337.55 | |
| August 2017 | 127.75 | 8.92 | 37.87 | 0.16 | 174.71 | 1410.01 | 83.53 | 84.06 | 8.37 | 0.01 | 175.97 | 1328.50 | 350.67 | |
| September 2017 | 126.99 | 11.56 | 37.43 | 0.14 | 176.12 | 1586.13 | 85.03 | 98.00 | 10.13 | 0.00 | 193.16 | 1521.67 | 369.28 | |
| October 2017 | 135.80 | 9.41 | 37.77 | 0.14 | 183.12 | 1769.25 | 85.51 | 96.57 | 11.33 | 0.00 | 193.41 | 1715.08 | 376.53 | |
| November 2017 | 143.79 | 10.55 | 39.56 | 0.12 | 194.02 | 1963.27 | 92.06 | 90.54 | 8.91 | 0.01 | 191.52 | 1906.60 | 385.55 |
Lottery sales status table by type
| Year and Month | Type | Sales for the month (100 million yuan) | Sales in the same month last year (100 million yuan) | Monthly sales growth year-on-year (%) | Month-month sales growth (%) | Cumulative sales for the year (100 million yuan) | Cumulative sales of the previous year (100 million yuan) | Cumulative sales growth for the year (%) |
|---|---|---|---|---|---|---|---|---|
| January 2020 | 1. Welfare Lottery | 128.90 | 212.19 | -0.39 | -0.31 | 128.90 | 212.19 | -0.39 |
| January 2020 | (1) Lotto digital type | 86.24 | 156.07 | -0.45 | -0.37 | 86.24 | 156.07 | -0.45 |
| January 2020 | (2) Instant type | 16.07 | 11.42 | 0.41 | 0.08 | 16.07 | 11.42 | 0.41 |
| January 2020 | (3) Video type | 26.50 | 44.58 | -0.41 | -0.28 | 26.50 | 44.58 | -0.41 |
| January 2020 | (4) Keno type | 0.10 | 0.11 | -0.08 | -0.40 | 0.10 | 0.11 | -0.08 |
| January 2020 | 2. Sports Lottery | 143.20 | 267.36 | -0.46 | -0.35 | 143.20 | 267.36 | -0.46 |
| January 2020 | (1) Lotto digital type | 63.45 | 92.79 | -0.32 | -0.32 | 63.45 | 92.79 | -0.32 |
| January 2020 | (2) Guessing type | 68.04 | 164.14 | -0.59 | -0.41 | 68.04 | 164.14 | -0.59 |
| January 2020 | (3) Instant type | 11.71 | 10.42 | 0.12 | -0.05 | 11.71 | 10.42 | 0.12 |
| January 2020 | (4) Video type | 0.00 | 0.00 | -0.52 | -0.62 | 0.00 | 0.00 | -0.52 |
| January 2020 | 3. Total | 272.10 | 479.55 | -0.43 | -0.34 | 272.10 | 479.55 | -0.43 |
| January 2020 | (1) Lotto digital type | 149.69 | 248.87 | -0.40 | -0.35 | 149.69 | 248.87 | -0.40 |
| January 2020 | (2) Guessing type | 68.04 | 164.14 | -0.59 | -0.41 | 68.04 | 164.14 | -0.59 |
| January 2020 | (3) Instant type | 27.77 | 21.85 | 0.27 | 0.02 | 27.77 | 21.85 | 0.27 |
| January 2020 | (4) Video type | 26.50 | 44.59 | -0.41 | -0.28 | 26.50 | 44.59 | -0.41 |
| January 2020 | (5) Keno type | 0.10 | 0.11 | -0.08 | -0.40 | 0.10 | 0.11 | -0.08 |
| March 2020 | 1. Welfare Lottery | 51.77 | 165.46 | -0.69 | 180.67 | 490.60 | -0.63 | |
| March 2020 | (1) Lotto digital type | 47.12 | 107.04 | -0.56 | 133.36 | 333.11 | -0.60 | |
| March 2020 | (2) Instant type | 4.63 | 11.04 | -0.58 | 20.70 | 32.89 | -0.37 | |
| March 2020 | (3) Video type | 0.00 | 47.23 | -1.00 | 26.50 | 124.26 | -0.79 | |
| March 2020 | (4) Keno type | 0.02 | 0.16 | -0.90 | 0.11 | 0.35 | -0.67 | |
| March 2020 | 2. Sports Lottery | 53.33 | 184.04 | -0.71 | 196.54 | 572.57 | -0.66 | |
| March 2020 | (1) Lotto digital type | 39.99 | 77.03 | -0.48 | 103.43 | 217.01 | -0.52 | |
| March 2020 | (2) Guessing type | 7.68 | 93.95 | -0.92 | 75.72 | 324.59 | -0.77 | |
| March 2020 | (3) Instant type | 5.66 | 13.07 | -0.57 | 17.38 | 30.96 | -0.44 | |
| March 2020 | (4) Video type | 0.00 | 0.00 | -1.00 | 0.00 | 0.01 | -0.79 | |
| March 2020 | 3. Total | 105.09 | 349.51 | -0.70 | 377.20 | 1063.17 | -0.65 | |
| March 2020 | (1) Lotto digital type | 87.11 | 184.06 | -0.53 | 236.79 | 550.12 | -0.57 | |
| March 2020 | (2) Guessing type | 7.68 | 93.95 | -0.92 | 75.72 | 324.59 | -0.77 | |
| March 2020 | (3) Instant type | 10.29 | 24.10 | -0.57 | 38.07 | 63.84 | -0.40 | |
| March 2020 | (4) Video type | 0.00 | 47.24 | -1.00 | 26.50 | 124.26 | -0.79 | |
| March 2020 | (5) Keno type | 0.02 | 0.16 | -0.90 | 0.11 | 0.35 | -0.67 | |
| April 2020 | 1. Welfare Lottery | 119.11 | 162.85 | -0.27 | 299.78 | 653.46 | -0.54 | |
| April 2020 | (1) Lotto digital type | 107.69 | 106.06 | 0.02 | 241.05 | 439.17 | -0.45 | |
| April 2020 | (2) Instant type | 11.40 | 13.28 | -0.14 | 32.10 | 46.17 | -0.30 | |
| April 2020 | (3) Video type | 0.00 | 43.36 | -1.00 | 26.50 | 167.62 | -0.84 | |
| April 2020 | (4) Keno type | 0.03 | 0.15 | -0.82 | 0.14 | 0.50 | -0.72 | |
| April 2020 | 2. Sports Lottery | 114.76 | 197.03 | -0.42 | 311.30 | 769.60 | -0.60 | |
| April 2020 | (1) Lotto digital type | 98.45 | 78.39 | 0.26 | 201.89 | 295.40 | -0.32 | |
| April 2020 | (2) Guessing type | 4.32 | 106.59 | -0.96 | 80.05 | 431.19 | -0.81 | |
| April 2020 | (3) Instant type | 11.98 | 12.05 | -0.01 | 29.36 | 43.01 | -0.32 | |
| April 2020 | (4) Video type | 0.00 | 0.00 | -0.83 | 0.00 | 0.01 | -0.79 | |
| April 2020 | 3. Total | 233.88 | 359.88 | -0.35 | 611.08 | 1423.05 | -0.57 | |
| April 2020 | (1) Lotto digital type | 206.14 | 184.44 | 0.12 | 442.94 | 734.56 | -0.40 | |
| April 2020 | (2) Guessing type | 4.32 | 106.59 | -0.96 | 80.05 | 431.19 | -0.81 | |
| April 2020 | (3) Instant type | 23.38 | 25.33 | -0.08 | 61.46 | 89.18 | -0.31 | |
| April 2020 | (4) Video type | 0.00 | 43.36 | -1.00 | 26.50 | 167.63 | -0.84 | |
| April 2020 | (5) Keno type | 0.03 | 0.15 | -0.82 | 0.14 | 0.50 | -0.72 | |
| May 2020 | 1. Welfare Lottery | 140.12 | 164.93 | -0.15 | 439.91 | 818.39 | -0.46 | |
| May 2020 | (1) Lotto digital type | 121.44 | 108.44 | 0.12 | 362.49 | 547.61 | -0.34 |
Lottery sales status table by region
| Year and Month | Region | Welfare lottery sales for the month (10,000 yuan) | Welfare lottery sales for the month increased compared with the same period last year (%) | Welfare lottery sales increased over the previous month (%) | Cumulative sales of welfare lottery tickets for the year (10,000 yuan) | Cumulative sales of welfare lottery tickets increased year-on-year (%) | Sports lottery sales for the month (10,000 yuan) | Sports lottery sales increased by % over the same period last year | Sports lottery sales increased over the previous month (%) | Cumulative sales of sports lottery for the year (10,000 yuan) | Cumulative sales of sports lottery for the year increased compared with the same period last year (%) | Total sales for the month (10,000 yuan) | The total sales of the month increased (%) compared with the same period last year | The total sales of the current month increased (%) compared with the previous month | Cumulative sales for the year (10,000 yuan) | Cumulative sales for the year increased (%) over the same period last year | Sales volume cumulative sorting |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008年01月 | 北京 | 25094.8542 | 18.61215346 | 25094.8542 | 18.61215346 | 9295.6628 | -20.45478852 | 9295.6628 | -20.45478852 | 34390.517 | 4.711607438 | 34390.517 | 4.711607438 | 11 | |||
| 2008年01月 | 天津 | 7762.54548 | 33.8283568 | 7762.54548 | 33.8283568 | 6962.2064 | -3.917626753 | 6962.2064 | -3.917626753 | 14724.75188 | 12.86400697 | 14724.75188 | 12.86400697 | 25 | |||
| 2008年01月 | 河北 | 30305.26738 | 23.8871082 | 30305.26738 | 23.8871082 | 13644.4969 | -6.953014225 | 13644.4969 | -6.953014225 | 43949.76428 | 12.32851983 | 43949.76428 | 12.32851983 | 7 | |||
| 2008年01月 | 山西 | 15314.82142 | 24.42557748 | 15314.82142 | 24.42557748 | 4298.271 | -24.7421153 | 4298.271 | -24.7421153 | 19613.09242 | 8.841846522 | 19613.09242 | 8.841846522 | 20 | |||
| 2008年01月 | 内蒙古 | 14141.35251 | 87.27211845 | 14141.35251 | 87.27211845 | 5557.5336 | -30.22356774 | 5557.5336 | -30.22356774 | 19698.88611 | 26.95850111 | 19698.88611 | 26.95850111 | 19 | |||
| 2008年01月 | 辽宁 | 46480.24246 | 20.33546946 | 46480.24246 | 20.33546946 | 15710.3114 | -11.28327336 | 15710.3114 | -11.28327336 | 62190.55386 | 10.39621853 | 62190.55386 | 10.39621853 | 5 | |||
| 2008年01月 | 吉林 | 18319.01749 | 51.27342965 | 18319.01749 | 51.27342965 | 8401.0628 | -34.47232953 | 8401.0628 | -34.47232953 | 26720.08029 | 7.178254414 | 26720.08029 | 7.178254414 | 16 | |||
| 2008年01月 | 黑龙江 | 21440.07038 | 14.67466541 | 21440.07038 | 14.67466541 | 9147.7556 | -9.747596906 | 9147.7556 | -9.747596906 | 30587.82598 | 6.089192842 | 30587.82598 | 6.089192842 | 13 | |||
| 2008年01月 | 上海 | 19562.06854 | 23.31871073 | 19562.06854 | 23.31871073 | 6165.9377 | -15.8334669 | 6165.9377 | -15.8334669 | 25728.00624 | 10.94968335 | 25728.00624 | 10.94968335 | 17 | |||
| 2008年01月 | 江苏 | 34675.14724 | 74.94157879 | 34675.14724 | 74.94157879 | 39469.4414 | -3.426096649 | 39469.4414 | -3.426096649 | 74144.58864 | 22.16803248 | 74144.58864 | 22.16803248 | 4 | |||
| 2008年01月 | 浙江 | 51324.62971 | 75.56642005 | 51324.62971 | 75.56642005 | 33325.8321 | 7.166378123 | 33325.8321 | 7.166378123 | 84650.46181 | 40.31000663 | 84650.46181 | 40.31000663 | 2 | |||
| 2008年01月 | 安徽 | 19751.33735 | 63.02415589 | 19751.33735 | 63.02415589 | 7809.6636 | -34.12456652 | 7809.6636 | -34.12456652 | 27561.00095 | 14.97744972 | 27561.00095 | 14.97744972 | 14 | |||
| 2008年01月 | 福建 | 17085.8463 | 59.47804288 | 17085.8463 | 59.47804288 | 21764.3961 | 2.110857719 | 21764.3961 | 2.110857719 | 38850.2424 | 21.30055868 | 38850.2424 | 21.30055868 | 8 | |||
| 2008年01月 | 江西 | 7676.35191 | 54.28166686 | 7676.35191 | 54.28166686 | 6475.196 | -10.66465362 | 6475.196 | -10.66465362 | 14151.54791 | 15.77107027 | 14151.54791 | 15.77107027 | 26 | |||
| 2008年01月 | 山东 | 66579.26781 | 58.58015715 | 66579.26781 | 58.58015715 | 14001.3903 | -17.84061571 | 14001.3903 | -17.84061571 | 80580.65811 | 36.51640174 | 80580.65811 | 36.51640174 | 3 | |||
| 2008年01月 | 河南 | 20698.84039 | 20.88808633 | 20698.84039 | 20.88808633 | 15253.5458 | 5.633632789 | 15253.5458 | 5.633632789 | 35952.38619 | 13.90904546 | 35952.38619 | 13.90904546 | 9 | |||
| 2008年01月 | 湖北 | 31244.97673 | 29.92431821 | 31244.97673 | 29.92431821 | 13334.3736 | -22.07616383 | 13334.3736 | -22.07616383 | 44579.35033 | 8.305728608 | 44579.35033 | 8.305728608 | 6 | |||
| 2008年01月 | 湖南 | 16153.73578 | 19.00192585 | 16153.73578 | 19.00192585 | 6831.9326 | -29.23871625 | 6831.9326 | -29.23871625 | 22985.66838 | -1.04859958 | 22985.66838 | -1.04859958 | 18 | |||
| 2008年01月 | 广东 | 60322.29084 | 38.04475723 | 60322.29084 | 38.04475723 | 26243.5469 | 10.893125 | 26243.5469 | 10.893125 | 86565.83774 | 28.50602199 | 86565.83774 | 28.50602199 | 1 | |||
| 2008年01月 | 广西 | 16960.34633 | 53.05521047 | 16960.34633 | 53.05521047 | 1721.0377 | -11.94308547 | 1721.0377 | -11.94308547 | 18681.38403 | 43.30989252 | 18681.38403 | 43.30989252 | 22 | |||
| 2008年01月 | 海南 | 3464.09902 | 116.9258861 | 3464.09902 | 116.9258861 | 618.6617 | 14.50909077 | 618.6617 | 14.50909077 | 4082.76072 | 91.03518126 | 4082.76072 | 91.03518126 | 29 | |||
| 2008年01月 | 重庆 | 13058.81437 | 67.15609752 | 13058.81437 | 67.15609752 | 3421.5509 | 59.21191114 | 3421.5509 | 59.21191114 | 16480.36527 | 65.44223325 | 16480.36527 | 65.44223325 | 23 | |||
| 2008年01月 | 四川 | 22732.70839 | 30.2867368 | 22732.70839 | 30.2867368 | 11952.1045 | -14.80622077 | 11952.1045 | -14.80622077 | 34684.81289 | 10.18911938 | 34684.81289 | 10.18911938 | 10 | |||
| 2008年01月 | 贵州 | 8461.00044 | 52.29130162 | 8461.00044 | 52.29130162 | 4188.8611 | -4.755985338 | 4188.8611 | -4.755985338 | 12649.86154 | 27.08535578 | 12649.86154 | 27.08535578 | 27 | |||
| 2008年01月 | 云南 | 20034.66124 | 36.0991053 | 20034.66124 | 36.0991053 | 11361.6744 | 10.2808048 | 11361.6744 | 10.2808048 | 31396.33564 | 25.46922631 | 31396.33564 | 25.46922631 | 12 | |||
| 2008年01月 | 西藏 | 1534.5546 | 121.5975481 | 1534.5546 | 121.5975481 | 208.2678 | 8.182185566 | 208.2678 | 8.182185566 | 1742.8224 | 96.92641456 | 1742.8224 | 96.92641456 | 31 | |||
| 2008年01月 | 陕西 | 18113.01378 | 56.38543873 | 18113.01378 | 56.38543873 | 9130.4522 | 35.60269919 | 9130.4522 | 35.60269919 | 27243.46598 | 48.74519297 | 27243.46598 | 48.74519297 | 15 | |||
| 2008年01月 | 甘肃 | 15041.31131 | 110.8716344 | 15041.31131 | 110.8716344 | 3720.4757 | -13.83729708 | 3720.4757 | -13.83729708 | 18761.78701 | 63.84568913 | 18761.78701 | 63.84568913 | 21 | |||
| 2008年01月 | 青海 | 3111.21809 | 57.73146293 | 3111.21809 | 57.73146293 | 829.1915 | -11.12772273 | 829.1915 | -11.12772273 | 3940.40959 | 35.61932975 | 3940.40959 | 35.61932975 | 30 | |||
| 2008年01月 | 宁夏 | 4220.50874 | 26.0567702 | 4220.50874 | 26.0567702 | 2271.6321 | -4.272510012 | 2271.6321 | -4.272510012 | 6492.14084 | 13.47672271 | 6492.14084 | 13.47672271 | 28 | |||
| 2008年01月 | 新疆 | 9836.4918 | -19.86565117 | 9836.4918 | -19.86565117 | 5783.0292 | -30.19737711 | 5783.0292 | -30.19737711 | 15619.521 | -24.02894413 | 15619.521 | -24.02894413 | 24 | |||
| 2008年01月 | 总计 | 660501.392 | 40.80803484 | 660501.392 | 40.80803484 | 318899.4954 | -7.771319012 | 318899.4954 | -7.771319012 | 979400.8874 | 20.19404627 | 979400.8874 | 20.19404627 | ||||
| 2008年02月 | 北京 | 15558.5456 | 13.92711536 | 40653.3998 | 16.77432273 | 7230.8399 | -11.56856838 | 16526.5027 | -16.79666 | 22789.3855 | 4.378766084 | 57179.9025 | 4.57869747 | 10 | |||
| 2008年02月 | 天津 | 3498.54771 | -26.98817636 | 11261.09319 | 6.315670602 | 5069.0712 | 1.427236654 | 12031.2776 | -1.735935013 | 8567.61891 | -12.48151708 | 23292.37079 | 1.998686974 | 25 | |||
| 2008年02月 | 河北 | 16576.0305 | -0.473988754 | 46881.29788 | 14.01932461 | 8331.2449 | -24.79026299 | 21975.7418 | -14.62894103 | 24907.2754 | -10.18683758 | 68857.03968 | 2.989334695 | 7 | |||
| 2008年02月 | 山西 | 7192.63603 | -6.82859057 | 22507.45745 | 12.37878933 | 2612.7809 | -34.51697293 | 6911.0519 | -28.76233868 | 9805.41693 | -16.26316483 | 29418.50935 | -1.046433008 | 21 | |||
| 2008年02月 | 内蒙古 | 9210.39071 | 82.63552687 | 23351.74322 | 85.41551819 | 3493.9729 | -45.97695756 | 9051.5065 | -37.28313363 | 12704.36361 | 10.37094775 | 32403.24972 | 19.89387925 | 19 | |||
| 2008年02月 | 辽宁 | 26553.68242 | -13.95836995 | 73033.92488 | 5.104458345 | 10976.4626 | -21.78408429 | 26686.774 | -15.92582399 | 37530.14502 | -16.40457865 | 99720.69888 | -1.489920839 | 5 | |||
| 2008年02月 | 吉林 | 11436.25028 | 29.34704786 | 29755.26777 | 42.02045967 | 6208.4016 | -47.13661627 | 14609.4644 | -40.52700783 | 17644.65188 | -14.28710834 | 44364.73217 | -2.529941713 | 14 | |||
| 2008年02月 | 黑龙江 | 14200.21116 | 11.18359029 | 35640.28154 | 13.2577623 | 6196.0203 | -20.10588514 | 15343.7759 | -14.23764002 | 20396.23146 | -0.637776543 | 50984.05744 | 3.29163648 | 13 | |||
| 2008年02月 | 上海 | 10321.85194 | -14.46314303 | 29883.92048 | 6.99517543 | 5472.7908 | -2.340596202 | 11638.7285 | -9.985483187 | 15794.64274 | -10.61877326 | 41522.64898 | 1.62177462 | 16 | |||
| 2008年02月 | 江苏 | 19432.36043 | 45.44738612 | 54107.50767 | 63.06581515 | 25120.6513 | -17.96892423 | 64590.0927 | -9.655375238 | 44553.01173 | 1.294276299 | 118697.6004 | 13.39696861 | 4 | |||
| 2008年02月 | 浙江 | 25222.69275 | 25.42315602 | 76547.32246 | 55.13052833 | 22136.7567 | 5.133397211 | 55462.5888 | 6.345599604 | 47359.44945 | 15.04519538 | 132009.9113 | 30.06290316 | 2 | |||
| 2008年02月 | 安徽 | 9440.07205 | -20.23923409 | 29191.4094 | 21.8793408 | 4947.3195 | -46.21197363 | 12756.9831 | -39.40541083 | 14387.39155 | -31.59705119 | 41948.3925 | -6.78980023 | 15 | |||
| 2008年02月 | 福建 | 7753.18298 | 1.184864417 | 24839.02928 | 35.17104763 | 15468.5285 | 9.977459373 | 37232.9246 | 5.238224656 | 23221.71148 | 6.876684093 | 62071.95388 | 15.47055245 | 8 | |||
| 2008年02月 | 江西 | 4248.33514 | 20.76875472 | 11924.68705 | 40.40131328 | 4794.9733 | -9.207726494 | 11270.1693 | -10.0505478 | 9043.30844 | 2.776540781 | 23194.85635 | 10.33225016 | 27 | |||
| 2008年02月 | 山东 | 36481.8458 | 27.88465402 | 103061.1136 | 46.16158829 | 8991.6118 | -26.0140682 | 22993.0021 | -21.24303052 | 45473.4576 | 11.782541 | 126054.1157 | 26.42499253 | 3 | |||
| 2008年02月 | 河南 | 11306.79585 | 9.293555825 | 32005.63624 | 23.78718332 | 10270.3377 | 1.97627393 | 25523.8835 | 4.130885451 | 21577.13355 | 5.684023301 | 57529.51974 | 14.22129618 | 9 | |||
| 2008年02月 | 湖北 | 17002.02002 | 15.69455739 | 48246.99675 | 22.23101151 | 9297.5392 | -21.72514148 | 22631.9128 | -21.93234015 | 26299.55922 | -1.031531318 | 70878.90955 | 3.530138063 | 6 | |||
| 2008年02月 | 湖南 | 7987.84114 | -27.33247305 | 24141.57692 | 1.404392363 | 4687.7637 | -40.13990576 | 11519.6963 | -34.12084466 | 12675.60484 | -32.66078628 | 35661.27322 | -13.63914828 | 18 |
Related literature
- Ji, Q., Quan, X., Yin, H., & Yuan, Q. (2021). Gambling preferences and stock price crash risk: Evidence from China. Journal of Banking & Finance, 128, 106158.< /li>
- Chen, Y., Podolski, E. J., Rhee, S. G., & Veeraraghavan, M. (2014). Local gambling preferences and corporate innovative success. Journal of Financial and Quantitative Analysis, 49(1), 77-106.< /li>
- Blau, B. M., Bowles, T. B., & Whitby, R. J. (2016). Gambling preferences, options markets, and volatility. Journal of Financial and Quantitative Analysis, 51(2), 515-540.
- Adhikari, B. K., & Agrawal, A. (2016). Religion, gambling attitudes and corporate innovation. Journal of Corporate Finance, 37, 229-248.
Data update frequency
Annual Update