China Research

A discussion forum on emerging markets, mainly China – from a macro, micro, institutional and corporate angle.

Our ”temperature indicator” for China rises slightly to 6.2 – but the growth outlook remains moderate

January 8, 2014

Summary
¤ Our so-called “temperature indicator” for the Chinese economy improved somewhat to 6.2 in December 2013 compared to 5.4 in June 2013 (10=extremely overheated). This is number that indicates quite modest growth by Chinese standards. Around 20 China experts from Asia, North America and Europe participated in this survey.

¤ The panel’s GDP projections (average, in brackets the forecasts from June 2013):
2013: 7.6 (7.6); 2013q4 7.8 (7.8); 2014: 7.6 (7.5); 2014 q4: 7.2 (7.3).
China has obviously landed on more dampened growth path.

¤ 78% of the panelists think that the currency renminbi will appreciate slightly during 2014 (1-5%).

¤ 75% of the panelists still see a kind of bubble on the real estate market.

¤ The panel’s confidence in the economic future of China is quite neutral (around 3 in a five year’s perspective on a scale from 1-5; 5=very strong) – but surprisingly somewhat above 3 (i.e. 3.5) in a ten years’ view. The latter result shows implicitly that there is some confidence that China’s reform policy during the current leadership will at least be partly successful.

¤ The three most strongly preferred reform areas seem to be – according to the panel (ranked):
financial markets, the hokou system (for registration), and, side by side: corruption and the environment.

 

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Hubert Fromlet
Visiting Professor of International Economics, Linnaeus University
Editorial board

 

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Once More: Analyzing the (Chinese) PMI

December 4, 2013

The Purchasing Manager Index (PMI) serves as a well-known and quite reliable short-term indicator in an increasing number of countries. When I introduced the PMI for Sweden at Swedbank together with SILF in the year 1994, this indicator had its history only in the United States. Neutral analysts consider the quality of the Swedish PMI as fairly good, too, particularly since we then did not rush into this new indicator for “marketing reasons”. Our tests and seasonal adjustments took quite some time. In a number of other countries, the PMI preparations took considerably less time until publication. Whether the increased speed of preparation has been affecting the quality of the PMI in different countries more negatively, I am not really sure about. Nowadays, the PMI can be found all over the world, China included.

I had some comments on the two Chinese PMIs in a previous blog (from June 7, 2013). Today, I would like to make some further comments and repeat some of my previous ones (which to a high can be applied generally as well).

First, analysts and media should handle smaller monthly changes of the PMI more carefully – particularly when the PMI moves upward but still relatively closely to the 50-index level, i.e. around 51-53. An improvement from 51.4 to 52.0 does not mean a lot of a change.

Second, the PMI is a so-called diffusion index. This means that the monthly changes of the PMI – particularly when the changes are more limited – do not really express the strength of the individual changes in the index. In other words: analysts should not only focus on the direction of the PMI but also on the level. This is not always the case. The experience from Sweden is that more positive times and improvements of the business situation tend to show up more clearly when the PMI starts exceeding levels around 55. This thumb rule may, however, vary from country to country.

Third, less monthly random can be achieved when also 3-months moving averages are added to the usual graph or numbers. Thus, a limited trend interpretation is made possible.

Fourth, when it comes to China we really do not have any idea about the composition and representativeness of the selected “PMI companies “(which users of the PMIs in our part of the world do not either; but statistics in the Western part of the globe tend to have – with certain exceptions – higher statistical standards compared to statistical quality in China).

Fifth, the PMI could be the best Chinese short-term indicator all the same. When longer time series will be available, this thinkable record will be very interesting to analyze more thoroughly. And the other point to summarize is that small moves of the PMI – up or down – should not be interpreted too exactly. However, the PMI remains an interesting, fresh and quickly calculated economic indicator in many countries. Hopefully in China, too!

Hubert Fromlet
Visiting Professor of International Economics, Linnaeus University
Editorial board

 

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Winners and Losers: FDI in China

September 4, 2013

In the last three decades, China has emerged from an isolated economy to the number one destination in foreign direct investment (FDI). How has FDI affected the Chinese economy? This essay summarizes the authors’ own research findings from the perspective of domestic firms in China.

The existing studies on FDI spillover effects in China have several drawbacks. First, most studies limit their research to total factor productivity (TFP) or labor productivity. Second, even for studies on TFP, different papers have produced very different results, leading to confusing conclusions. In particular, among studies that find positive FDI spillovers on TFP, many suffer from methodological flaws that lead to an upward bias in the estimates or downward-biased standard errors. Finally, there is little research studying the specific conditions under which positive spillovers actually occur. In our recently published book (with the same title, together with Galina Hale, by World Scientific), we attempt to address these issues, relying on multiple large-scale disaggregated data sets.

Using data from China’s National Bureau of Statistics Manufacturing Census (2000-2006) and the World Bank firm surveys of 2001 and 2004, we show in Chapter 2 that foreign-invested firms in China do tend to be more productive, with firms invested by regions from outside the greater China area (FRN firms) having a greater advantage. All foreign-invested firms pay higher wages to their engineers and managers, but not necessarily to their production workers. Furthermore, firms with investment from Hong Kong, Macao, and Taiwan (HMT firms) also tend to export more of their outputs. Finally, firms with foreign investment are not more likely to have introduced new products, regardless of the country origin of foreign investment.

Chapter 3 is the first chapter to explore spillover effects of FDI presence, where TFP is the performance measure of interest. We find that there is no overall significant horizontal spillover effects of FDI on TFP of domestic firms. However, significant positive horizontal spillovers are observed for private firms as a whole, and there are more significant positive horizontal spillovers of FDI from outside the greater China area than of that from within the HMT region. We also study two kinds of vertical spillovers, spillover effects of downstream FDI (or backward linkages), and those of upstream FDI (or forward linkages). For backward linkages, we find no significant overall effects for the full sample of firms. Yet positive effects are found for private firms of downstream FDI both from within and outside the greater China area. In particular, these positive effects are larger in size than the horizontal spillovers. In contrast, SOEs suffer significant negative effects of presence of FDI from outside the greater China area in downstream industries. The patterns observed for forward linkages are very similar. We view these findings as evidence that private firms are more efficient and more competitive than SOEs.

In Chapter 4 we explore the spillover effects of FDI on wages and labor quality and find that the spillover effects vary along two dimensions. First of all, FDI presence significantly drives up the wages for managers and engineers in domestic firms located nearby, but not the wages for production workers. In addition, private domestic firms raise their wages for managers and engineers at the presence of foreign invested firms, while SOEs are not significantly affected in these wages. We also find that FDI presence affects labor quality: managers hired by private domestic firms tend to have more foreign experience when FDI is presence, yet there is some evidence of quality deterioration for managers employed by SOEs. Put together, these findings suggest that foreign invested firms pose real competition with Chinese domestic firms in the labor market of skilled workers, thus driving up their wages. Furthermore, the constraints faced by Chinese SOEs may have hampered their ability to compete with foreign firms in the labor market.

The spillover effects of FDI on exports are studied in Chapter 5. While HMT investment is found to have no overall significant effects on same-industry domestic firms’ exporting behaviors, FRN investment is shown to have negative and significant effects on the ratio between exports and total sales in domestic firms in the same industry, in particular for private firms. Very similar results are obtained for vertical spillover effects, be they through backward linkages or forward linkages. We interpret these results as reflecting the combined effects of the following mechanisms through which FDI impacts domestic firms: (1) the technological and managerial spillovers that increases the competitiveness of domestic firms’ output on the international market; (2) the competition between foreign invested firms and domestic firms on the export market that pushes domestic firms’ output away from exports; and, (3) the supplier and client relationships established between foreign and domestic firms that pull domestic firms’ output toward domestic market. The evidence suggests that FDI from regions outside the greater China area are more likely to engage domestic firms in their supply chains within China.

Chapter 6 studies the spillover effects of FDI on the innovation behaviors of domestic firms, arguably the most important long term impact of FDI on the Chinese economy. The patterns observed, however, suggest a rather grim view of FDI’s influence on the innovation activities of Chinese indigenous firms. Findings based on the NBS census show that FDI presence significantly lowers the probability of having new product sales in domestic firms, whether the FDI is made in the same industry, in downstream industries, or in upstream industries. In addition, the negative effects hold regardless of where the foreign capital comes from. Results from the World Bank data analysis give a somewhat positive picture, where some domestic private firms increase their likelihood of new product introduction. However, these results also indicate that the new products that are introduced tend to be imitations rather than authentic innovations.

With continued growth in FDI inflow projected for the foreseeable future, China needs to recalibrate its policies and the above research findings may inform policy making.

 

 

 

 

 

 

Cheryl Long
Associate Professor, Director of the Asian Studies Program, Colgate University and Xiamen University

 

 

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