The Relation Research Of The District Business Scale Development And The Net Orders Programming

In new position that china open itself completely to foreign capital retailing ,the government command that every province must begin to institute the regulation of commercial network and order its building for shaping a fair environment of commercial competition. But some local governments don't pay attention to this thing, so the delays come forth. The reason could be that local governments and local commercial enterprises don't understand the aim of business design, or be empty of experience. Considering this practical question, this article expects to help those relative departments to understand the important of business design by studying the rule of commercial development and economic growth, then impel it on their own. In the other hand, the article study the case about ZhenJiang business design, in order to give a suggest for similar cities else.The empirical research of my article mainly centers about the theories of commercial scale and economic growth. By electing countrywide and 14 regional data, I use the way about correlation analysis to verify the theories, and educe these conclusions: the commercial scale of country and regions have been at a steady level, under the circumstance, if we want to advance economic effect more, we must begin to modulate commercial internal structure, namely we should macroscopic readjust and control the development of Chinese commerce. On the base of this conclusion, the article exerts the ways on multifactor models analysis and stepwise regression in researching the relation between every factor and commercial development, in the other hand, the article have a general studying among all influential factors for pressing close to the reality.The case of zhenjiang commercial development is the microcosmic research portion of the article. It analyzes the background, superiority, open questions elaborately, and institutes some countermeasures on zhenjiang commercial development by commercial scale forecasting and commercial network investigation.