Garment Workers Have Reduced By Nearly 3 Million, Even The Output Of Clothing Robots Has Shrunk.
In recent years, with the passing of demographic dividend, China has accelerated the application of industrial robots to solve the labor problem.
However, the latest statistics of the National Bureau of statistics show that the growth of migrant workers is declining, and industrial robots are also experiencing negative growth. What is the matter?
In April 29th, the National Bureau of statistics released the survey report on migrant workers in 2018, which shows that in 2018, the total number of migrant workers in China was 288 million 360 thousand, an increase of 1 million 840 thousand over the previous year, an increase of 0.6%.
This increase has decreased by 2 million 970 thousand people over the previous year, and the growth rate has dropped 1.1 percentage points over the previous year. This is the first time that the total growth rate of migrant workers has dropped since 2015, and the growth rate of 0.6% has fallen below 1% for the first time in nearly 10 years.
Under the tide of machine change, the output of industrial robots should be maintained at a relatively high rate as an alternative. However, according to the data of the National Bureau of statistics, the output of industrial robots in China in 2018 has been out of the "high growth" for many years and has rapidly turned to negative growth.
This trend even extended to 2019, and the cumulative output in the first quarter was -11.70%.
The growth of migrant workers is declining, and industrial robots are growing negatively. What is the matter?
Take the textile industry as an example, Xiaobian tried to make the following analysis.
Difficult recruitment and expensive labor force forced textile and garment industry to "machine substitutions".
Traditional textile and garment industry is labor-intensive industry. With the gradual disappearance of demographic dividend in China, pformation and upgrading is urgent.
Mechanization, automation and intellectualization have become an effective way to pform traditional industries, promote industrial pformation and upgrading, reduce staff and increase efficiency, and ease recruitment difficulties.
The report shows that rising labor costs and long-term structural shortage of jobs have become one of the main drivers of the "machine substitution" in the textile and garment industry.
In recent years, the growth rate of labor remuneration has been accelerating.
Every year, enterprises should increase the wages of 1~2 workers, and enterprises obviously feel the pressure of employment increases.
The development of textile and garment industry needs a large number of textile skilled workers and skilled talents.
The eastern part is a traditional labor force inflow Province, and there is a gap in the supply of local labor, and the return of skilled workers in the central and western provinces of migrant workers has led to the widespread shortage of textile and garment enterprises, especially the eastern textile enterprises.
At the same time, because the textile industry has strong work intensity and the mobility of workers is large, especially after the 85 and post-90s young workers are mostly unwilling to engage in monotonous duplication and labor intensive work, the front-line workers can not get effective supplement, and many textile enterprises have long been short of work, forcing enterprises to replace machines with machines.
Take some textile enterprises in South of Jiangsu as an example, enterprises face about 10% of the shortage of workers every year.
At the same time, the upgrading of textile and garment industry and the realization of high quality development have created demand for intelligent manufacturing. "Machine substitution" has become the trend of the times.
The survey shows that the quality of textiles is the competitiveness of enterprises, and the development of textile quality in China is not optimistic. The instability of quality not only exists between different enterprises and different regions, but also exists among different batches of products within the enterprise, which directly affects the market competitiveness of products.
In promoting product stability and quality and achieving high quality development, intelligent robot production has unparalleled advantages in manual production.
Why robot output growth declined?
Over the past few years, the "machine substitutions" immediate effect has prompted many enterprises to upgrade.
In 2013, China surpassed Japan to become the largest industrial robot market in the world.
At the same time, under the powerful supply and demand rule, the output of industrial robots in China has surged.
According to national statistics, the output of industrial robots in China increased by 21.7% in 2015, 34.3% in 2016 and 68.1% in 2017.
However, this trend came to a turning point in 2018.
In the first quarter of 2018, the output of industrial robots in China increased by 29.6%, falling to 23.9% in the first half of the year, and 9.3% in the first three quarters, which closed at 4.6% in the whole year.
From month to month, the inflection point appeared in September, and the growth rate of industrial robots suddenly dropped to -16.4% in the same month, followed by negative growth every month.
Moreover, this downward trend continued to 2019, the first quarter of this year was -11.7%.
Many people in the industry believe that this phenomenon is affected by multiple factors, but they all point to a reality, that is, the demand side has changed.
A general view is that the output of industrial robots dropped in 2018, which is directly related to the downward pressure of the current macro-economy and the decline in demand for robots by manufacturing enterprises.
Last year, many manufacturers began to reduce orders or tight funds, and changed the machine to a conservative or wait-and-see attitude.
Taking the textile industry as an example, this year's market is generally not very prosperous, even for enterprises having 5 days' holiday in May 1.
However, even if some enterprises are still viable, considering the uncertainty of the economic situation, they dare not invest more in industrial robot applications.
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