Importance of statistical work

I have seen such a pair of statistical couplets: planning the economy of mountains and rivers covers the whole world, and unifying the society of heaven and earth covers five continents. Horizontal batch: the world is unified. This couplet left a deep impression on me and caused me to think a lot about the importance of statistical work. Let's first look at the importance of statistical work!

First, we must fully understand the importance of statistical work.

1, statistical work touches all aspects of the national economy.

Some people may say that the tone of couplets is so big that statisticians are a little too arrogant? Think about it carefully, in fact, what the couplet says is really like this: from the revenue and expenditure of the state treasury to the daily necessities, what can be separated from statistics? Imagine living at home. I don't know how much money is left in my bag. I don't know how many meters are left in the gas tank. How can I live that day? When you start a business, you can't figure out the production capacity and sales revenue, how much raw materials you need and how much profits and taxes you can get. How do you continue to operate? How many urban and rural people, how many jobs, how much per capita income and how high the price level are in a region? How can we develop the economy? A country doesn't know how much GDP, fiscal revenue, energy supply and foreign exchange reserves it has. How will this country face the fierce world competition? It can be said that statistical work can touch almost every nerve of the national economy, and its importance is extraordinary.

2. Statistical work provides an important reference for leadership decision-making.

In a sense, the importance of statistical data is similar to military intelligence, which can often provide important reference for leaders to make decisions. In fact, in the process of formulating many national policies, such as implementing family planning, sticking to 65.438+0.8 billion mu of cultivated land and protecting the ecological environment, the reference value of statistical data is indispensable. A mayor once commented on statistical work like this. He said that if the municipal government ranks among the top three important departments, the statistics department should be counted as one. This shows the importance of statistical work.

Statistical work is as important to government departments as to enterprise management. For an enterprise, strengthening its own statistical function, regularly counting all aspects of data, conducting in-depth investigations on some outstanding problems in the enterprise, writing statistical analysis reports, and boldly putting forward some new suggestions and ideas can also provide important basis for enterprise leaders to make management decisions. If there is no scientific statistical basis, the management of enterprises will be as empty as castles in the air, and there will be no good starting point in the management process.

Two, accurate statistics is the fundamental guarantee of the importance of statistical work.

Statistical work is so important, however, in real life, we sometimes hear that statistical data is full of water. What does "drink more water" mean? It should mean "inaccurate". As statisticians, we are busy all day and we don't want to return anything. This kind of sound is undoubtedly a kind of harm to us. However, when we calm down, objectively eliminate the misunderstanding and prejudice of statistics in rumors, and modestly carry out criticism and self-criticism, we have to start to further think about the importance of statistical work: accurate statistical data should be the fundamental guarantee of the importance of statistical work.

It is undeniable that some areas still have "inaccurate" or even "excessive moisture" statistics to some extent. Seeking truth from facts is the soul of statistical work, and statistics should not have moisture. Who "wet" our statistics? Of course, there are many reasons for the phenomenon of "wet water" in statistical data, but "enterprise management" and "subjective influence" should be two important factors. The "business operation" factors here mainly refer to the digital deviation caused by unfamiliar business, insufficient manpower, hasty time, inadequate inspection and weak sense of responsibility, such as confusion of measurement units and deviation of decimal point position. If it is not found in time, the error caused by this reason is also great. The "subjective influence" factor here refers to the data distortion directly caused by the subjective desire of "people". What "people" can distort data according to their subjective wishes? It may be an enterprise, a department or a leader. The "people" who influence the data distortion also have their own reasons: individual enterprises may be for tax evasion, individual departments may be for assessment, and individual leaders may be for highlighting "political achievements." No matter who it is or what the reason is, the consequences are the same: the statistical data is distorted and the statistical image is damaged.

For this still-existing phenomenon of "wet water" in statistics, if we don't intensify the rectification and cure it from the system, the statistical department will be marginalized sooner or later, and the "brand" of statistics will be smashed sooner or later, and the importance of statistical work will be impossible to talk about. We must know that the distortion of military intelligence is enough to trap the three armed forces, and the distortion of statistical data is enough to make development go astray. I don't think any real statistician wants to face this situation.

Three, some suggestions to speed up the reform of statistical methods and statistical systems

The importance of statistical work has been fully proved by the attention of governments at all levels and the achievements made in statistical work. However, some problems in statistical work, such as the accuracy of data, have increasingly become a major problem hindering the development of statistical work, and it is urgent to speed up the reform of statistical methods and systems. Of course, the reform of statistical method system is a long and complicated process, and the author can only talk about some personal views on how to speed up the reform of statistical method system.

1. From the point of view of a strong statistical country, the reform of statistical methods and systems should further increase investment in grassroots statistics. At present, the statistical workload at the grassroots level is quite large, the statistical time is very tight, the statistical funds are insufficient, and there is a serious shortage of statisticians at the county and town levels, but they are still too busy to bear the workload of several people. In this case, the accuracy of statistical data will inevitably be affected to a certain extent.

2. From the statistical object, the current statistical method system should further streamline the statistical elements, compress the statistical scope and pay more attention to some people's livelihood issues. For some outdated planned economic indicators or economic indicators that the statistical department really can't accurately grasp, it is suggested not to be included in the statistical scope; Under the condition of market economy, the monthly data summary of many private enterprises can not be timely and incomplete, and some statements, such as income statement, can no longer be made into monthly reports at the grassroots level. These measures should be conducive to improving statistical efficiency and data quality. In addition, statistics should not pay too much attention to the economic indicators to be evaluated, but should pay more attention to some practical problems related to the lives of ordinary people, so that statistics can better serve the people while serving the leaders. A really good statistical method system should be a system that can make people familiar with it, say it is useful and praise it, rather than a system that is only busy with a few assessment indicators.

3. From the statistical function, we should completely decouple the statistical results from the performance appraisal, and effectively integrate local statistics with national statistics. The statistical results are completely decoupled from the performance appraisal, and the human factors affecting the data quality will naturally be greatly reduced, and the accuracy of statistical data will naturally be greatly improved. On the other hand, if statistics are used as the criteria for evaluating leaders, then many local leaders may want to make a fuss about statistics. Local statistics and national statistics are completely separated, and the results of local statistics do not need to be reported at different levels, but only serve as an internal reference for local leaders' decision-making. Naturally, there is no reason and possibility for artificially influencing statistical data. Otherwise, according to the tradition that many people in China report good news instead of bad news, it is hard to say how much of the data reported layer by layer is true and credible.

Of course, reform can't be accomplished overnight, and it will often face many difficulties, but the determination to reform should be firm and the pace of reform should be accelerated. As long as we persist in doing it, there will be solutions to the problems, and the reform will certainly bring greater development and progress to statistical work.