Testing the First Hypothesis
In this chapter, we will test the three hypotheses, respectively. The first hypothesis asserted that even though local governments must subsidize post-privatized firms due to policy burden, with incomes from selling SOEs, local governments could have a fiscal surplus after paying such subsidies. Thus, the profits of selling SOEs could be treated as an intervening variable, which promotes the privatization action (independent variable) and finally leads to the increase of the government’s fiscal revenue (dependent variable).
Dating back to China in the 1990s, we can generate an objective view about the status of SMEs. Even though the performance of SOEs temporarily improved after giving more autonomy during the 1980s, given the competitive pressures of private enterprises and foreign enterprises, a majority of SOEs gradually suffered massive losses. According to the data from NBS (National Bureau of Statistics), Table 3 reflects the plight of SMEs. As Shao (2014) explained, the most significant characteristics of SMEs were the so-called ‘Two Highs’—high liabilities and high deficits. While large SOEs could maintain profitability in 1996, both medium and small SOEs suffered massive losses and their losses even expanded in 1997. From the asset-liability ratio, most state-owned SOEs bore a heavy debt burden. Looking at the statistical report, in 1996, the total assets of SMEs were 1.8532 trillion yuan, while the total debt amounted to 1.3422 trillion yuan. The deficit status was even worse in 1997, which increased 30% within 1 year, and the aggregate losses of SMEs climbed to over negative 20 billion yuan. Compared with the average 61% asset-liability ratio of large enterprises, the high load rate (over 80%) would further constrain the profitability and production capacity of SMEs.
Table 3 Nationwide industrial SOEs business condition (1996–1997) The predicaments of SMEs were not confined to one specific city; instead, they were widely distributed within China (Zhu 2003; Zhou 2008; Zhang 2009). Wuhan was a relatively well-developed city in China, and in 1998, its SOEs’ liability-to-asset ratio was over 100%, and Wuhan’s SOEs as a whole was close to the edge of insolvency. Changsha, the provincial capital of Hunan, faced a similar situation as Wuhan: its Municipal Bureau of Finance in 1998 announced that the total assets of local SOEs were 9.9 billion yuan. Hence, with 9.7-billion yuan debt, their asset-liability ratio was close to 100%. In Yichang City, Hubei Province, its 28 industrial enterprises, which wholly owned 9.9 billion yuan in assets, were in debt for more than 10 billion yuan, and the nine worst SOEs had over 200% asset-liability ratios. At Zuoquan County, Shanxi province, almost all the SOEs were loss-making, except those offering basic daily life services like the water industry, the electric power industry, and the post office.
To better understand how local governments sold SOEs, we must trace the process of privatization in Heze, the most representative example. Heze is a small city in the southwest of Shandong Province. Its industrial base was fragile and most SOEs were imported from Qingdao and Jinan in the 1960s. To solve the predicament of Heze, Chen Guang, a famous Chinese officer who directed the first case of privatization in Zhucheng, Shandong Province, was appointed as Clerk in 1995. Chen’s idea was to duplicate the model of Zhucheng, to privatize SOEs through insider subscription of shares, whereas the plight was worse than the image (Shao 2014). After 3 months’ investigation into 305 SOEs, Chen found that Heze’s SOEs had extremely high asset-liability ratios. The city’s 305 enterprises had total assets of 9.34 billion yuan; thus, with 11.4 billion yuan in debt, the average asset-liability ratio was over 100%. Next, the net assets of SOEs shrank quickly. Financial statements illustrated that net holdings within Heze in 1996 were 15.8 billion yuan, while in 1997, they plunged to 7.6 million. Most seriously, through checking the corporate accounting statements, an audit revealed that over 80% of financial reports were inaccurate. For instance, one SOE reported 723 million in profit, while it lost 360 million yuan in that year. In sum, industrial SOEs throughout the region were on the edge of collapse.
Concerned with this grim challenge, Chen had to find a pragmatic approach to solve the problem. In August 1997, the Heze government published its reform blueprint and decided to sell SOEs to the private sector. However, due to the high asset-liability ratio and awful operational performance, it was impossible to sell SOEs at a high price. For instance, one SOE had 620 million yuan of assets, while its debt was over 700 million yuan; thus, the net assets were even below zero. In other words, the ownership of such SOEs seemed worthless. To privatize SOEs as soon as possible, the Heze government had to sell SOEs at meager prices or even free of charge. As Chen said in 1998, “as long as you can give our workers job for work, food for eating, I will give you the ownership of SOEs”. It was not an easy decision at that time, as none of the local governments had freely sold state-owned assets before. Criticisms emerged after 1998, which pointed out that Heze’s privatization model was suspected to have caused losses of state-owned assets (Zhu 2003). However, this decision fit the interests of Heze. Even though SOEs were sold nominally very cheaply, given the debt burden and high asset-liability ratio, it was not a bad deal for the government. As Chen said, “for SOEs with huge liability and debt, even if sells them free of charge, it is also difficult to find people who willing to take over it”. Therefore, “rather than be called as sending SOEs freely, what we did, in reality, was to throw away the burden and debt” (Shao 2014: 141). After this model was confirmed by then-premier Zhu Rongji in Oct 1998, selling SOEs at low prices was rapidly popularized among other pilot cities (Zhu 2001).
By tracing the privatization process in Heze, we find an essential clue that local governments sold their SOEs at considerably low prices or even free of charge. With this clue, the first hypothesis could be inspected through the hoop test, and Table 4 reflects our inference process. According to the first hypothesis, for the revenues created by selling SOEs, local governments could have a fiscal surplus after paying post-privatization subsidies. No matter how much subsidies need to be paid to privatized firms, this hypothesis implies that the amount of sales revenue must exceed the grants. Thus, a significant amount of income from the sale must be a necessary condition. In other words, the sales revenue of privatization itself would not positively lead to the increase of fiscal surplus, while without sufficient sales revenue, it would be impossible for a local government to generate more budgetary surplus after it has paid subsidies. Combined with the clue extracted from process tracing, we find that local governments did not attempt to receive income though selling SOEs; thus, it does not meet the necessary conditions—the first hypothesis fails the hoop test. According to the criteria of the process tracing analysis for causal inference (Bennett 2010), an explanation should be eliminated once it fails the hoop test. Therefore, we reject the first hypothesis.
Testing the Second Hypothesis
In this part, we will test the second hypothesis, which assumes that post-privatized firms could contribute significantly more tax revenue to the local government, and with this revenue, China’s local governments could have the fiscal surplus after paying subsidies. Normally, a firm’s increased profits would account for higher tax contributions; thus, improving the profitability of privatized SOEs is a necessary precondition implied by the second hypothesis. The income of tax revenue could be treated as an intervening variable, which promotes the privatization action (independent variable) and finally leads to an increase in a government’s fiscal revenue (dependent variable).
After privatization, a majority of post-privatized firms showed improved operational status. According to the data released by NBS, from 1998 to 2000, the accumulated deficits of industrial enterprises decreased from 120 billion yuan to below 80 billion yuan. The national asset-to-liability ratio declined from 64.26 to 59.6% in 2000. In Heze, 203 of the 249 SMEs were privatized between 1997 and 2000. Ninety percent of them recovered production, and by 2001, some firms stated earned profits (Shao 2014). Production efficiency significantly improved after privatization. As per the several interviews with post-privatized firms in Changsha, their managers said that the enthusiasm of workers had been much improved: “When workers employed at SOEs, everyone only finished his bask work task, while through importing performance evaluation system after privatization, they are much more dedicated to working”, a manager reported (Luo 2008). Therefore, even though post-privatized firms could not get rid of losses immediately, their production efficiency and profitability were improved through privatization.
Based on this evidence, we can inspect the second hypothesis through the hoop test, and Table 5 reflects our inference process. The second hypothesis assumes that post-privatized firms will contribute more tax revenue to local governments. Hence, improved performance must be a precondition for increased tax contribution (Megginson and Netter 2001). In other words, if economic performance rarely improved after privatization, it would be unnecessary to continue inspecting the second hypothesis. As production efficiency and profitability were enhanced after privatization, local governments may have had the possibility to receive increased tax revenue; thus, the second hypothesis passes the hoop test. However, while passing the hoop test cannot confirm a hypothesis, it does increase its possibility. Therefore, we will continue to inspect the second hypothesis.
Even though a firm’s productive and operational efficiency appeared to improve, it was an illusion to some extent. Looking at China’s SOE reform, during the process of privatization, a significant amount of “surplus” workers would be laid off at the same time. There were various ways to fire redundant workers, such as maiduan gongling (buyouts) or entering into re-employment service centers (RSCs) (Gu 1999). However, regardless of the method, with a smaller corporative scale, privatized firms would save substantial costs regarding workers’ wage payments, administrative expenses, and subsistence allowances. Thus, even though 1997–2000 saw significant improvements in economic performance, many scholars (Bai et al. 2006) do not deny that the apparent economic improvements were, in reality, just due to the substantial decrease in operating costs. For instance, through the large-scale laying off of employees, the number of workers of a post-privatized textile firm in Heze decreased from 1200 to fewer than 400 (Shao 2014). In other words, the incomes of post-privatized firms did not show a significant increase; instead, their operational costs dramatically declined, which resulted in the apparent profitability. Thus, excluding the saved expenses, we cannot claim that the performance of these firms immediately improved after privatization.
Consequently, local government’s tax revenues did not show a significant increase from 1997 to 1999. Even though profitability and efficiency seemed to improve after privatization, without a substantial increase in output, there was little difference in incomes between the SOE and the post-privatized firm. Also, because the costs of redundant workers could not suddenly disappear, privatized firms still needed to bear one part of the fees for subsidizing laid-off workers (as detailed in the next chapter). Consequently, these firms could not contribute significantly more tax to the local government in the short term. In the following year of implementing the privatization program, Heze’s government officials could not receive full salaries yet. Until 2001, Heze’s tax revenues barely reached a hundred million yuan, still the minimum within Shandong Province (Shao 2014). Leaving out Heze, Bai et al. (2006) used a regression model to test the effects of privatization among 23 provinces and four municipalities from 1998 to 2003. They found that the increased proportion of non-state-owned enterprises did not lead to a decline in tax revenues, suggesting that it must be impossible for a local government to enjoy booming tax revenues after privatization in the short term.
Therefore, we see that a local government’s tax revenues rarely increased in the initial years after privatization. Given this evidence, the second hypothesis could be examined via the hoop test, and Table 6 reflects our inference process. It hypothesizes that with increased tax revenues, local governments could have a fiscal surplus after paying post-privatization subsidies. Regardless of how much of a subsidy must be paid to privatized firms, a substantial increase of tax revenue must be a necessary criterion for this hypothesis. In other words, increased revenue itself would not positively lead to a fiscal surplus; hence, it must be impossible for a local government to generate a fiscal surplus without satisfying this criterion. While not denying that this hypothesis had passed a hoop test because of the improved business condition of post-privatized firms, this study contends that the seeming improvements were just the results of declining operational costs. Consequently, privatized firms did not contribute more tax revenues to local governments in the short term. Considering the revenue-seeking characteristic of local governments, it is credible to claim that the second hypothesis does not meet the necessary conditions—it fails the hoop test. According to the criteria of the process tracing analysis for causal inference (Bennett 2010), a hypothesis should be eliminated once it fails the hoop test. Therefore, we reject the second hypothesis.
Testing the Third Hypothesis
In contrast to the previous two hypotheses that focus on the increase of revenues after privatization, the third assumes that local governments would pay comparatively fewer subsidies after the privatization of SOEs with redundant workers. First, it is worth understanding the form of subsidy after privatization. Re-employment service centers (RSCs) in Shanghai were touted as a model for the rest of the country by China’s central government in 1997. After Shanghai’s government promoted SOE reform in 1995, many SOEs merged were bankrupted or privatized; consequently, over 800,000 workers left their original positions. To prevent social instability, newly laid-off workers were to register with and enter RSCs, which were promoted as an explicit threshold to the market (Bi 1998). RSCs were sector based; for instance, a cluster of reformed textile or horologe SOEs worked together to set up their RSCs, respectively. Even though post-reformed SOEs would take part in establishing RSCs, they only accounted for 25% of pension payments and the rest was sponsored by Shanghai’s city government.
However, it was unrealistic to apply the Shanghai model to the rest of the country, because almost all of the other cities did not have the funds of Shanghai. China’s central government initially planned to promote the RSC experiences in Shanghai to other provinces.Footnote 1 However, as Hurst (2009: 71) points out, “Shanghai’s success was largely attributable to practices impracticable outside central coast cities with abundant resources”. It must be remembered that RSCs and district governments in the Shanghai had made use of substantial tax breaks and low-interest bank loans to help laid-off workers; this was a policy which no other city could likely implement on such a scale. When Hurst interviewed officers in the Shanghai municipal government, a few people admitted that the program’s costs were extremely high, and at least two state council officials went so far as to say that it was “fundamentally impossible” to apply the Shanghai model of comprehensive social security almost anywhere else due to insufficient funds (Hurst 2009).
Therefore, when China’s central government promoted the RSC model of Shanghai, the majority of governments at the local level were unable to establish RSCs independently. There are many cases which reflect how city governments failed to provide mandated treatments because they lacked funds or resources. Benxi, a prefecture-level city in Liaoning Province, could only afford to have a minority of laid-off workers register with RSCs (Smyth and Zhai 2003). Roughly, one-fifth of workers found some long-term work and the majority of people could not receive the necessary treatment from local governments. Datong and Luoyang, two cities in North-Central China, resembled Benxi in several important respects. Consequently, only workers laid off from some comparatively large SOEs could enter RSCs and the majority of workers lacked such opportunity. The situation was even worse in north-eastern China. Harbin, for instance, even failed to establish RSCs.
Given this evidence, the third hypothesis could be examined via the hoop test and Table 7 reflects our inference process. The third hypothesis assumes that local governments would pay fewer subsidies after privatization. So far, we do not know how a local government could pay fewer subsidies; thus, this evidence is not sufficient to confirm the third hypothesis. However, it satisfies the necessary criterion: if China’s local governments had the incentive to transfer the burden of redundant workers to other entities through privatization, a precondition is that local governments barely solved this problem and thus had to ask other entities for help. Only in the circumstance that local governments suffered huge fiscal pressures would they be motivated to transfer these costs to other entities, and then privatization may be a feasible way forward. In other words, supposing that each local government had sufficient funds like Shanghai, it would be unnecessary for them to escape the responsibility of subsidizing laid-off workers. Therefore, this evidence satisfies the necessary condition for accepting the third hypothesis, which passes the hoop test. According to Bennett (2010), passing the hoop test affirms the relevance of the hypothesis but does not confirm it. Thus, we will continue to test the third hypothesis by other means.
At the 15th Communist Party Congress in 1997, China’s central government gave a clear direction that local government should build its re-employment agency based on the framework of the RSCs in Shanghai. However, China’s central government had to take part in the construction of RSCs. As mentioned above, almost all the local governments were unable to accomplish their program alone. The central government quickly realized this status and found that it was “fundamentally impossible” to apply the Shanghai model to the rest of country. Confronting the plight of RSCs at the local level, the central government decided to assist them. Fan (2002) finds that there was a bargain between China’s central and the local governments, wherein game theory explained their objective functions, respectively. Because local governments could not afford the RSCs by themselves, virtually millions from surplus labor forces would flow into the market, which could not absorb such huge numbers of people, causing social chaos and instability. Thus, China’s central government calculated the potential costs if it did not assist local governments. Once the number of required aids was lower than the possible cost, it was a good deal for the central government to assist local governments.
Hence, the central government decided to assist local governments to solve the burden of redundant workers. In September 1997, China’s Communist Party and State Council published the No. 10 (1997) official document,Footnote 2 which clarified the relevant responsibilities among post-reformed firms, local governments, and the central government. Most importantly, No. 10 (1997) entrenched a formal institution—the “san–san” (“three-thirds”) arrangement. Based on this arrangement, one-third of their funding would come from post-reformed SOEs, one-third from local governments, and one-third from the central government. In the next year, the Central Committee and State Council issued the “Work Conference on Basic Livelihood Protection and Re-employment of Laid-off Workers in SOEs” in May. After June 1998, the local government and firms would not solely fund the RSCs anymore, as the central government would largely support their work.
Nevertheless, in some poor cities where firms and local governments could not contribute their shares, the central government sometimes had to pay more than one-third of the funds. The central government initially refused to pay into RSCs that lacked local government financing; however, after it understood that it was the local government’s genuine inability rather than unwillingness, its attitude changed. For instance, Chongqing is a south-western city in China, where, in 1998, many textile SOEs were reformed; consequently, nearly 500,000 laid-off workers entered textile RSCs. Due to woefully inadequate funding, the Chongqing government and firms could only afford 200,000 people’s basic allowance. When then-minister Zhu Rongji asked them to solve this problem by themselves, some of Chongqing’s officers and firm managers protested (Zhu 2001), saying, “when we force laid-off workers to leave their original positions, a lot of them already get angry, if we cannot pay subsidies anymore, they must throw us into the Yangtze river!” Chongqing’s plight created a discussion, and the central government eventually tried to remedy these problems. Most importantly, it agreed to pay some portion or all of the one-third shares of the local government or firms in distress.
In addition to assisting RSCs, China’s central government also decided to construct a sound social insurance system, which could be treated as an indirect way to disperse pressure on local governments. As Lin and Tan (1999) claim, without a sound social insurance system, redundant workers would continue being a policy burden, regardless of whether SOEs were privatized or not. China’s central government also realized that the RSC was just a transitional step; the fundamental way to solve the problem was to construct a sound insurance system. In July 1997, the State Council issued “Decisions about Constructing the Basic Endowment Insurance System for Enterprise Employees”, clarifying the mechanism, range, and proportion of China’s insurance system.Footnote 3 Before 2000, China’s central government had already allocated 200 million yuan for this program. The social insurance system had some overlapping functions with RSCs, and it gradually replaced the role of RSCs in 2004 (Hurst 2009). Thus, even though constructing a social insurance system did not directly aid local governments, it did at least disperse the pressures of RSCs.
Therefore, through analyzing official documents, interviews, and case studies, we find evidence that China’s central government aided local governments in direct or indirect ways. The third hypothesis could be inspected through the smoking-gun test, and Table 8 reflects our inference process. With the san–san (three-thirds) arrangement, the central government shared the responsibility with the local governments; with necessary aids, the central government helped local governments or firms in distress, and the construction of insurance system dispersed the pressures of RSCs. The combined weight of these clues illustrates that, through privatization, a local government could have the chance to transfer the costs to the central government and consequently paid fewer subsidies. Therefore, the third hypothesis passes the smoking-gun test and could be substantially strengthened based on the framework of Bennett (2010).
Lastly, we should not ignore that local governments still had some informal methods to alleviate the pressures of redundant workers. Because few cities had funds, it would be impossible for their RSCs to afford all the laid-off workers. Consequently, some local governments would adopt particular policies to shunt laid-off workers. The most popular one was the buyout, maiduan gongling. The mechanism of buyouts is that reformed firms give laid-off workers an amount of money at one time to compensate their losses and then the labor relation between firm and worker is terminated (Hurst 2009). Bought-out workers received one-time severance payments, usually based on their years of employment (gongling) at homologous SOEs. After that, laid-off workers had to feed themselves and they could not claim money or benefits from the company. Hence, such a policy alleviated the burden of governments when they promoted the privatization of SOEs.
Even though a buyout policy attracted some criticisms, it was still executed in many cities. Because the amount of compensation was very low, it was scarcely enough for bought-out workers. For instance, when a steelwork factory was privatized in 1997 in Harbin, Heilongjiang Province, its workers could only receive compensation per the standard of 500 yuan per year (Wu 2007). A worker who had worked for 15 years at this steelwork could only get 7500 yuan of compensation when he left the firm. Thus, many officials and scholars criticized this policy, saying that it was just “letting people out” without “buying” anything. As Wu (2007) argues, these laid-off workers were dedicated to their work and did not make any mistakes, so it was unfair to let them suffer the cost of reform. However, although some local governments may have shirked their responsibility, it was a reality that the redundant workers were unaffordable for the majority of them. Without privatization and the buyout of laid-off workers, weak SOEs would cause even more costs in the future.
The implementation of maiduan gongling in Zuoquan County, Shanxi Province, is a representative case to illustrate a local government’s dilemma. Zuoquan is an impoverished county in the south-eastern portion of Shanxi province; in the 1990s, almost all the SOEs were on the edge of bankruptcy. After 1997, the new county government decided to reform its SOEs and recover Zuoquan’s economy. However, the most severe challenge impeding the privatization program was how to compensate redundant laid-off workers (Shao 2014). Without sufficient funds, it was impossible to construct a sound RSC. Alternatively, through selling the assets of SOEs, Zuoquan’s government compensated bought-out workers for an average of 8000 yuan per person. Zuoquan’s country clerk communicated with the workers’ representative, saying,
Of course you can reject buyouts contract and the privatization program can be denied, however, the annual losses of SOEs will continue to erode net assets. You could get 8000 yuan compensation this year, whereas in the next years you may only get 6000 yuan, and the year after next year only left 4000 yuan per person. (Shao 2014: 147).
Laid-off workers eventually had to compromise with the government, and they also gradually realized that denying the SOEs’ reform did not fit anyone’s interest. Finally, through communicating with the Zuoquan’s country government, many workers accepted the buyout contractFootnote 4 and terminated their labor relations with the original SOEs.
Through tracing the case of Zuoquan, we obtain an important clue that local governments could terminate labor relations with redundant workers by maiduan gongling (buyouts). Consequently, the third hypothesis could be examined through the straw-in-the-wind test, and Table 9 reflects our inference process. The straw-in-the-wind test provides neither a necessary nor a sufficient criterion for accepting a hypothesis, although it could increase plausibility. This clue is neither necessary nor sufficient to confirm the third hypothesis, in that we cannot directly claim that a local government could transfer the cost of SOEs to workers through buyouts. Compared to RSCs, buyouts are not a mainstream method to solve the problem of laid-off workers. Also, local governments still needed to pay a lot of money to bought-out people, and subsidy payments did not decrease, at least in the short term. However, after labor relations were terminated, these bought-out people had to feed themselves in the future, which released the policy and fiscal burden of the government in the long term. Thus, even though the third hypothesis cannot be confirmed by this clue, its plausibility is increased after passing the straw-in-the-wind test.
Table 9 Straw-in-the-wind test Therefore, the third hypothesis could pass the doubly decisive test through multiple tests, and the Table 10 refelects the inference process. We successfully traced three clues by analyzing official documents, interviews, and case studies: (a) a majority of local governments were unable to establish RSCs by themselves; (b) China’s central government aided local governments, in direct or indirect ways; (c) local governments could terminate labor relations with redundant workers by maiduan gongling (buyouts). With these three clues, the third hypothesis passes the hoop test (Table 7), the smoking-gun test (Table 8), and the straw-in-the-wind test (Table 9). The combined weight of these three tests strongly supports the hypothesis; thus, we can confirm that China’s local governments could transfer the cost of policy burden of redundant workers to other entities and consequently pay fewer subsidies after the privatization of SMEs. Passing the doubly decisive test means that the third hypothesis is fundamentally confirmed, and the other two hypotheses can be eliminated (Table 10).
Table 10 Doubly decisive test