Technological anxiety:Analysis of the impact of industrial intelligence on employment in China

Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further study.This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy.First,from the theoretical logic and the economic development law,this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs.Then,based on the panel data of 269 cities in China from 2006 to 2021,we use the two-way fixed effect model,dynamic threshold model,and two-stage intermediary effect model.The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism.Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the“creation effect”.In other words,advanced digital technology has created additional jobs,and the overall supply of employment in the labor market has increased.The conclusion is still valid after the endogeneity identification and robustness test.In addition,the positive effect has a nonlinear effect on the network scale.When the installation density of industrial robots exceeds a particular threshold value,the division of labor continues to deepen under the combined action of the production efficiency and compensation effects,which will cause enterprises to increase labor demand further.Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions.This study concludes that in the digital China era,the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market.This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.

Factor Price Distortion and Conseq uential A dverse Wealth Transfers in China

As critical piece of China＇s gradualist economic transition, domestic price reform still faces major challenges. In particular, factor price, which is still tightlycontrolled and not market-based, is lower than market equilibrium price. Factor price distortion not only reduces market efficiency but also affects wealth distribution. Subsequent wealth transfer has, over the past ten to fifieen years, created a powerful vested interests and spawned social resentment, both of which may constitute major hazards in China＇s future reform and development. Keeping in mind that China will have to address factor price distortion in its next step of reform, this paper takes stock of China＇s journey toward price rejorm; examines the relationship among factor price distortion, previous economic growth, and policy; and estimates＇ the size of resulting wealth transfer.

Soaring Grain Prices Raise Global Concerns

Grain prices often dominate all other product prices,and an increase in their price is usually considered as a prelude to inflation.The three fairly serious inflations,in 1985,1988-1989,and 1993-1995 respectively,were all preceded by grain price hikes.Furthermore,the money supply surged in the preceding year or during the same year in which these inflations occurred.This year has witnessed the same symptoms. High grain prices,which still have a possibility to go up further,have attracted wide attention across the world,including in China.As early as the end of last year,the State Council issued a circular that mandated the stabilization of grain prices in order to strictly crack down on illegal actions such as dishonest merchants driving up grain prices.One time,five State-level Departments led by National Development and Reform Commission,released an urgent announcement in order to safeguard the stability of grain prices in the domestic market.Wu Xiaoling,Vice Governor of the People's Bank of China,said that the negative influences exerted on other product prices by the rise in global grain price should not be ignored.According to Wu,the People's Bank of China will continue to closely watch the price changes. From a global and comprehensive viewpoint,the article analyzes the features of the recent grain price hike and the reasons for its dramatic rise,as well as,the impact it will have on the global economy.

Factor Price Distortion,Technological Innovation,and High-Quality Economic Development

The entropy method is used to measure the high-quality economic development levels of 30 provinces(autonomous regions,municipalities)in China from 2011 to 2020,and the impacts of factor price distortion,technological innovation,and their interaction terms on high-quality economic development are analyzed based on Tobit regression.The results show that highquality economic development of 30 provinces(autonomous regions,municipalities)in China is on the rise;factor price distortion has an inhibitory effect on high-quality economic development,while technological innovation has a promoting effect on high-quality economic development,and both of them have a lag effect;technological innovation level can help alleviate the negative impact of factor price distortion on high-quality economic development;and sub-regional research shows that the inhibitory effect of factor price distortion on highquality economic development in the east is significantly higher than that in the central and western regions,but the positive effect of technological innovation and the interaction terms between the two on high-quality economic development is significantly lower than that in the central and western regions.Accordingly,it is proposed to optimize top-level design for the two-wheel drive for high-quality economic development,strengthen the primary role of enterprises in innovation to promote high-quality economic development,and optimize the market-oriented allocation of factors to improve the efficiency of resource allocation.

Analysis of Electricity Cost of Agricultural Irrigation and Drainage in Experiment Station

The electricity cost of agricultural irrigation and drainage in the Dahe Ex- periment Station was analyzed. The results showed that from 2012 to 2016, the annual total power and total electricity cost increased year by year. The higher the electricity consumption was, the lower the factor adjusted power price was. The an- nual factor adjusted power price decreased from 532.5 yuan （above the national standard） to -599.78 yuan （below the national standard）. The electricity consumption was always highest in June. The more the rainfall from June to September was, the less the monthly electricity usage was. The collect electricity charge to total electricity charge ratio was 1.26%-1.34%, the directory electricity charge to total electricity charge ratio was 96.34%-99.80%, and the electricity loss of transformer was 288-496 kW/h.

Cross-layer resource allocation based on potential game theory in multi-cell OFDMA networks

A cross-layer resource allocation scheme based on potential game(CLRA_ PG) is proposed for the downlink multi-cell orthogonal frequency-division multiple-access(OFDMA) system with universal frequency reuse.As a method to mitigate inter-cell interference(ICI),base station coordination has been considered.In the process of the objective function modeling,this paper adopts a pricing mechanism which not only maximizes the individual utility but also considers the interference to other users.Based on the potential game theory,the objective problem is converted to a potential function which can be easily solved.The Karush-Kuhn-Tucker(KKT) conditions and the iterative water-filling algorithm are employed to solve the constraint objective optimization problem.Moreover,extensive simulations are conducted to evaluate how the pricing factors affect the algorithm.At the same time,comparing with the traditional policy,our simulation results show that the proposed scheme can significantly improve the performance of the system.

IS China＇s Manufacturing Technica Efficiency Cost-push？

Do risingfactor prices promote technical efficiency （TE） in China＇s manufacturing sectors？ This topic has not yet been thoroughly studied in any literature. Using panel data from 1993 to 2007 of Chinese provinces＇ manufacturing industries, this paper calculated the TE by data envelopment analysis （DEA）. The result shows that China＇s manufacturing TE remained stagnate in the mid- and late-1990s and increased after 2000. Using a Pooled Regression Model, Fixed-effects Regression Model and Panel Corrected Standard Error （PCSE） to obtain robust parameters and the standard error, we find that rising factor prices have an obvious positive effect on the TE of the manufacturing industry and that this effect reaches its peak three to five years later. Therefore, the assumption of a ＂cost-Push TE＂ in China＇s manufacturing sectors can now be statistically proven. It has verified the significance of reforming China＇s faetor price system. Governments should value resource-allocating ej^iciency, implement policies that promote industrial transition and upgrading and transform the economic development pattern through technical innovation.

What Drives China’s Transformational Growth:Technology,Efficiency or Factor Cost?

With rising costs of capital, labor and energy, cost efficiency and cost management have become important questions confronting the next stage of China＇s economic growth. By building a parametric cost frontier model using panel data, this paper investigates the drivers of economic growth transformation from a cost perspective. According to our research, among various effects triggering corporate cost variations and in addition to the expansion of production scale, the largest effect is from technological progress, followed by the effect of factor price adjustment and the effect of efficiency gains. Within the decomposition of factor price adjustment effect, the energy factor effect is the most significant. Furthermore, energy price fluctuations are likely to become major factors restricting saving-based growth. Further study reveals that both the ownership reform and opening up of SOEs are favorable to reducing the costs generated by inefficiency. This paper provides empirical evidence for the driving mechanism of saving-based growth transformation as well as empirical evidence to support to the further deepening of property rights and market-oriented reforms.

Applied Research of IoV in Insurance Industry

A vehicle intelligent terminal is designed to collect vehicle state information and driver behavior information based on the application of Internet of Vehicle in the insurance industry, and data of 12 risk factors affecting the traffic safety is extracted from the information. The Principal Component Analysis is improved and PCA based on the index significant priority is proposed, using which the data of risk factors is processed and 3 principal components are obtained as the pricing factor of the insurance industry.

The Threshold Effect of Factor Price Distortion on Technological Content of Exports:Evidence from China

Using panel data from 31 provinces in China,covering the period from 2003 to 2017,this article analyzes the threshold effect of factor price distortion on the technological content of exports.The results show that factor price distortion does not necessarily impede improvement in the quality of the technological content of exports.Instead,the adverse ejfect can be weakened when the value of per capita GDP is higher than RMB13,154 or the value of FDI goes beyond RMB480.9 billion.This is because a high regional economic development level alleviates the adverse effect of factor price distortion on the technological content of exports.Our results are robust when the dependent variable and sample years are changed.This article also addresses the endogeneity issue.We also consider the underlying mechanism through which factor price distortion affects the technological content of exports.