[size=0.9em]Detection and impact of industrial subsidies: The case of Chinese shipbuilding
[size=0.9em]Myrto Kalouptsidi 09 September 2017
[size=0.9em]China’s shipbuilders have doubled their market share in recent years. It is hard to determine the role of industrial policy, particularly subsidies, in this because we do not know what policies are in place. This column argues that subsidies decreased shipyard costs in China by between 13% and 20% between 2006 and 2012. These policy interventions have led to substantial misallocation of global production with no significant consumer surplus gains. Japan, in particular, has lost market share.
Consistent with these government programs, Figure 1 shows a rapid expansion in the number of dry docks (a measure of shipbuilding capacity). It is important to note that the majority of this expansion (82%) was realised through the construction of new facilities, so that the industry experienced a massive entry wave in 2005 and 2006.
Figure 1 Shipbuilding dry docks in China, 2001-2012

In contrast to this capital expansion, subsidies to reduce operating costs cannot be observed directly. Yet, consistent with such measures, China's production and market share increased dramatically as the programmes were announced (Figure 2).
Figure 2 China's market share in shipbuilding, 2001-2012

After 2006, China's market share more than doubled across all major ship types (Table 1). In addition, China's shipbuilding is mostly geared towards export sales which comprised about 80% of its production in 2006.
Table 1 China's average quarterly market share before and after 2006

In my paper, I estimate a dynamic model of the shipbuilding industry. The model captures the key features of this industry. In it, a large number of shipyards compete by producing ships. Their production decisions are subject to the time taken to build as ship, which is between two and five years. Shipyards accumulate backlogs, which can affect their future production cost, either positively (expertise acquisition) or negatively (capacity constraints). Production cost is also subject to steel price fluctuations, as steel is a key production input. World shipowners decide to buy new ships from world shipyards. Demand for new ships is driven by demand for international sea transport, which is uncertain and volatile. As ships are long-lived investments for shipowners, demand depends on expectations about future demand and fleet development.
The main object of interest is the cost function of firms that potentially have been subsidised. As in many industries, however, we cannot observe the costs of production. Therefore I estimate costs from changes in demand, testing for a break when China launched its shipbuilding plan in 2006.1 In the simplest example of a static, perfectly competitive framework, marginal cost is recovered directly from prices. In that case, the detection strategy amounts to testing for a break in observed ship prices in 2006.To do this, I estimate the willingness to pay for a ship, using observed new and used ship prices. I then use the observed changes in this estimated willingness to pay alongside the shipyards' optimal production choices, to obtain their underlying cost function. I employ a rich dataset consisting of global contracts for purchases of new and used ships and firm-level quarterly ship production between 2001 and 2012.
I use my framework to detect and measure changes in costs that would have been consistent with subsidies. I find a strong, significant decline in Chinese costs equal to between 13% and 20% of costs, or $1.5 to $4.5 billion at observed production levels.
Alternative explanations for the recovered cost decline could not have adequately accounted for these observations. For example, the results are robust to many specifications that control flexibly for time-variation. Moreover, costs did not change in other countries. Bulk ship production is not characterised by technological innovation, and the results held when I estimate costs on the subset of shipyards that existed prior to 2001. This implies that cost declines were not driven by different technology in new shipyards, or optimisation as a result of learning-by-doing.
The impact of subsidiesThis framework can be used to quantify the contribution of government interventions in China as it seized the market:
Subsidies created a wedge in the alignment of market share and production costs. They led to a large increase in the industry average cost of production (net of subsidies) by shifting production away from low-cost Japanese shipyards towards high-cost Chinese shipyards.
ReferencesThe Economist (2011), 'Perverse Advantage', 27 April.
Grossman, M Gene (1990), 'Promoting New Industrial Activities: A Survey of Recent Arguments and Evidence'. OECD Economic Studies 14: 87-126.
Haley, C, V Usha and George T Haley (2013), Subsidies to Chinese Industry: State Capitalism, Business Strategy and Trade Policy, Oxford University Press.
Kalouptsidi, Myrto (2017), 'Detection and Impact of Industrial Subsidies, the Case of Chinese Shipbuilding'. CEPR Discussion Paper No. 12080.
OECD (2008), Report of the Working Party on Shipbuilding: The Shipbuilding Industry in China,Paris: OECD.
US International Trade Commission (2008), Antidumping and Countervailing Duty Handbook, 13th Edition.
US-China Economic and Security Review Commission (2011), 'Report to Congress'. Washington DC: Government Printing Office.
Endnotes1 In the simplest example of a static, perfectly competitive framework, marginal cost is recovered directly from prices. In that case, the detection strategy amounts to testing for a break in observed ship prices in 2006.
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