What Is the Focus of Structural Reform in China?—Comparison of the Factor Misallocation Degree within the Manufacturing Industry with a Unified Model

Jin, Longzhe; Mo, Changwei; Zhang, Bochao; Yu, Bing

doi:10.3390/su10114051

Cited by 18 publications

(21 citation statements)

References 35 publications

(34 reference statements)

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“…It is relevant to note that, due to the neglecting or mis-measuring adjustment costs, neglecting differences in technologies across establishments, etc., it may lead to an excessive exaggeration of the misallocation degree of resources [48]. The above research basically affirms that gap between China and developed countries is widening because of resource misallocation, and is an important constraint to the high-quality development of China's economy [13,48,49].…”

Section: Literature Reviewmentioning

confidence: 58%

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Han

Feng

et al. 2019

Sustainability

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Climate change poses unprecedented challenges for humanity. Reducing carbon intensity is an inevitable choice for tackling climate change and promoting sustainable development. China has made some emission reduction commitments in the international community to promote the decoupling of China’s economic development from carbon emissions. The realization of the industrial structure from the “single-wheel drive” of the manufacturing to the “two-wheel drive” economic development model of the service industry and the manufacturing has become a key measure to achieve China’s economic intensive development. According to resource misallocation situation in different regions, this paper explored the impact of the collaborative agglomeration between producer services and manufacturing (hereinafter referred to as industrial co-agglomeration) on carbon intensity. The research results show that the carbon intensity is decreasing year by year, and the degree of intensification of China’s economic growth continues to increase. Moreover, the effect of industrial co-agglomeration to promote carbon emission reduction is significantly limited by the degree of misallocated resources, and there is a double threshold effect. Specifically, in areas where resource allocation is reasonable, industrial co-agglomeration can produce significant agglomeration effects and promote carbon intensity reduction. Once the degree of misallocated resources exceeds a threshold level, the agglomeration effect will turn into a crowding effect, resulting in an inability to reduce carbon intensity. We comprehensively analyzed the driving factors for reducing carbon intensity and proposed policy pathways for achieving China’s carbon intensity target.

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Section: Literature Reviewmentioning

confidence: 58%

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Han

Feng

et al. 2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…Many factors such as local protectionism and government intervention [2,3], ownership differences caused by administrative monopolies [4,5], firm-level policy distortions [6,7], and imbalanced development of transportation infrastructure [8] has been causing serious resource misallocation in China. Under the theoretical framework of measuring the degree of resource misallocation developed by Hsieh and Klenow [9], domestic and foreign scholars have examined the current situation of resource misallocation in China from the aspect of industry, region and ownership [10,11]. Essential productive factors involved in the existing fruitful studies include capital, labor, land, energy, etc.…”

Section: Introductionmentioning

confidence: 99%

How Does Energy Misallocation Affect Carbon Emission Efficiency in China? An Empirical Study Based on the Spatial Econometric Model

2019

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As an essential factor of production, energy is receiving increased attention. Yet, other than some fundamental policy suggestions towards China’s energy issues, there have been very few investigations into energy misallocation so far. The measurements of energy misallocation index and carbon emission efficiency were made based on the panel data from 30 provinces in China. To empirically study the impact of energy misallocation on carbon emission efficiency, a spatial econometric model was built. It is found that during the survey period, there was a certain degree of energy misallocation in all regions of China, and the differences between the regions were obvious. There is an inverted U-shaped relationship between the impact of energy misallocation and carbon emission efficiency in which intensified allocation distortion accelerates the arrival of the critical point that is not conducive to energy conservation and emission reduction. The results viewed by regions show that due to a low degree o*f misallocation, the impact of carbon emission efficiency in the east region is positive, while that of the central and west regions are mostly negative. Accordingly, it is necessary to accelerate the marketization process of the energy market and improve the ecological quality.

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“…This may be due to the different types of enterprises examined. Based on the theory of enterprise heterogeneity, some scholars have reported that the impact of resource mismatching on TFP is negative [13][14][15], and some have discovered that it is positive [16]. China's furniture enterprises are typical in terms of the distortion of labor resources, and their exports are primarily composed of processing trade.…”

Section: Introductionmentioning

confidence: 99%

Exports, Misallocation, and Total Factor Productivity of Furniture Enterprises

Guo

Cheng

et al. 2019

Sustainability

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With the increase in labor costs in China and the tremendous changes in the international trade environment, upgrading the total factor productivity of Chinese furniture export enterprises faces a great challenge. Lots of studies have explored the interaction of exports or misallocation on the total factor productivity (TFP) of furniture enterprises, however, there is little knowledge on the impact and interaction of both exports and misallocation on the TFP. Based on panel data of Chinese furniture enterprises, this paper measures the TFP and the distortion of labor and capital resources in Chinese furniture enterprises. A two-way fixed-effects model is used to analyze the impact of exports and misallocation on the TFP of Chinese furniture enterprises. The paper reveals several important findings. First, the TFP of Chinese furniture export enterprises is lower than that of non-export enterprises, this phenomenon is called the “export–productivity paradox”. Chinese furniture export enterprises are processing trade-oriented and labor-intensive enterprises at the low end of the value chain, exports have a negative effect on improving the TFP of furniture enterprises in the short term. Second, the distortion of labor and capital resources in Chinese furniture enterprises promotes improvements to the TFP of furniture enterprises rather than reducing the TFP of furniture enterprises. Last but not the least, we find that misallocation has a positive moderating effect on exports and can weaken the negative impact of exports on TFP by the “forced mechanism”, which is that the higher the distortion of the misallocation, the higher the cost of acquiring capital and labor, and enterprises are forced to enhance their productivity when facing market competition, thus promoting improvements to the TFP of furniture enterprises.

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What Is the Focus of Structural Reform in China?—Comparison of the Factor Misallocation Degree within the Manufacturing Industry with a Unified Model

Cited by 18 publications

References 35 publications

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

How Does Energy Misallocation Affect Carbon Emission Efficiency in China? An Empirical Study Based on the Spatial Econometric Model

Exports, Misallocation, and Total Factor Productivity of Furniture Enterprises

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