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This article is based in Shanghai, dynamic monitoring of agricultural economy in information management and performance evaluation system, and (Enterprise) 2004 1210 farmers collected from the system of crop rotation systems, input-output, product quality, market flows dynamic monitoring data extracted from 601 farmers engaged in rice production (enterprise) data, the use of the relevant principles of economics, agricultural science and GIS, combined with the background of the outskirts of Shanghai agricultural production, the use of modern statistical analysis software and methods of analysis, from the input-output and its associated production and management performance, marginal benefit, yield potential and other aspects, on the outskirts of Shanghai rice production in the multivariate analysis. It was found that the outskirts of Shanghai rice production input levels, in different regions, between different production scale and different rotation type, there is a big difference between the the different counties mu changes in the cost between 309 to 518 yuan, the highest Fengxian 68% of the difference between the minimum Baoshan; green manure crop of rice per mu lowest cost, only 364.23 yuan, while the strawberry crop of rice per mu high cost of 549.22 yuan, a difference of 184.99 yuan. With the expansion of production scale, the cost of per mu basic downward trend, mainly to reduce labor costs. Soil fertility and production environment, Crops, input level and variety of many factors, of rice per mu yield differences, 568 kilograms per mu yield the highest Nanhui District, minimum 507 kg Pudong New Area, a difference of 12%; vegetables casual stubble highest rice, 581 kg / mu, casual crop rice minimum of 510 kg / acre, a difference of 71 kg; different scale of operation per mu yield differences. Crop varieties, the stubbles type, production technology, and non-standardized production of a variety of factors such as the common constraints of input and output showing a complex correlation mu cost was a significant positive correlation with yield per mu, mu profit was significantly negative correlation; within a certain range, with the per mu direct costs continue to increase, the per mu yield per mu output value of the rise to 400-450 yuan per mu direct production costs per mu yield per mu output value highest continue additional input per mu yield per mu output value in steady high volatility, profits, investment yields also depletes; fertilizer inputs also showed a similar trend, Shanghai (excluding islands) rice fertilizer administering an effective amount of a reasonable range of approximately 16-20kg / mu. Overall low-input, high return on investment, increase investment, marginal benefits showed a decreasing trend. In addition, Shanghai is a high-yield areas, different regions, Crops, varieties there is still some potential to increase yield. Based on the above analysis results, the authors propose several models and countermeasures of rice production cost control and management optimization. (1) the pursuit of the unit into a profit-maximizing mode, under the premise of the protection of the normal production of rice, to control the total cost of production, rational use of natural production capacity of arable land and varieties, the pursuit of the unit of input profit maximization. Normal times, maintain the average yield of rice in about 500-530 kg, the average selling price of the 2004 rice per mu output value of 905-959 yuan, profit of 625-659 yuan per mu, investment rate of return of 223%, mu net income of $ 695-739. (2) the pursuit of mu revenue maximization mode, on the basis of the mode (1), continue to increase fertilizer and other inputs and mention
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