We first examine the relationship between railroads and modern banks, the regression specification is shown as follows:
where Banksit denotes the number of modern banks in prefecture i in year t. Railit is either the railroad dummy or the number of railroad stations in prefecture i in year t. β1 thus captures the relationship between railroad and modern banks. Xit refers to a vector of local economic characteristics: population size, Western colonial influence (measured by a dummy variable to indicate whether prefecture i has CMC houses or treaty ports in year t), administrative area, and the log of navigation river length. represents the prefecture fixed effect and δt represents the time. Robust standard errors are clustered at the prefecture level.
Columns (1) to (4) in Table 2 reports the basic results. Columns (1) and (2) are estimates using the railroad dummy, and columns (3) and (4) are estimates using the number of railroad stations. Besides, columns (1) and (3) only control railroad variables and fixed effect, while columns (2) and (4) include all control variables, where the effect of Western colonial influence is depicted by different measures. The results indicate that the number of modern banks is significantly associated with railroad construction. For example, after controlling other controls, a prefecture has 1.126 more banks if it has a station (or around 110% more relative to the mean number of modern banks, 1.025) or a prefecture has 0.369 more banks if it has one more station. Given that the prefecture had more opportunities to connect with other domestic or international markets after railroad construction, a railroad station was more likely to become a cargo distribution center, and more financial services were demanded there. Modern banks were incentive to place branches and offices near train stations to facilitate firm financing and mortgage freight management. This relationship corresponds to growth statistics found in historical materials. For example, Yan (2007) documented that freight transported by railroads increased from 2.43 billion ton-kilometers in 1912 in China to 6.27 billion ton-kilometers in 1936.
However, the significant correlation between railroad construction and modern banks cannot be regarded as proving causality, due to possible reverse causation and omitted variables. There is no obvious reverse causation issue between railroad construction and the development of modern banking. However, omitted variable issues are unavoidable. For example, prefectures that were richer or better endowed with natural resources were usually more attractive for locating banks and building railroad stations. We are unable to capture such an effect due to data limitations. Moreover, the expansion of railroads increases the demand for financial services, such as exchange, remittance, and financing, and in turn, stimulates the building of branches. For example, The Shanghai Commercial & Savings Bank, one of the ‘Southern three banks,’ had its headquarters in Shanghai. It established an office at Bengbu station and provided exchange service for the Mobil Company and other foreign companies. It also located branches and offices near the Hankou and Zhengzhou train stations (Ma, 2015). Therefore, we examine the heterogeneous effect of railroad construction on headquarters and branch locations after solving the endogeneity issue in the next section.
4.1 Causality between Establishment of Railroads and Banks
We apply two-stage least squares (2SLS) and use the least-cost paths (LCP) of railroad as the instrumental variable following existing studies (Faber 2014; Jedwab and Moradi, 2017; Fenske and Kala, 2018). The main idea of constructing LCP as an instrumental variable is to find the lowest total cost path of railroad placement between two spots which are recognized as the nodes of the railroad network. Without considering other influences, we could calculate the construction costs of all possible railroad placement schemes between the two spots, finding the lowest total cost path (Faber, 2014). Assuming that the railroad planner is a rational decision-maker, it would prefer the lowest total cost path option, other things being equal. Any prefecture that is geographically located on the lowest total cost path of the two spots has a high probability of having railroad stations. A dummy variable, LCP, is thus constructed to indicate whether a prefecture is located on the lowest total cost path of two railroad network nodes. As the lowest total cost path is objectively determined by the algorithm, LCP meets the requirements for instrumental variables.
There are two considerations for railroad placements in China: one is to ensure national security16 and the other to connect important commercial cities, which help to decide the nodes of the railroad network. Based on this, we finally identified 34 nodes, of which 18 were the main military couriers and the others the transportation hubs since the Qing Dynasty.17 We then use ArcGIS10.2 to calculate the lowest total cost path between any two of these 34 nodes based on the topographical and hydrological information recorded in the China Historical Geography Information System (CHGIS V4, 2007). 18 Fig. 1 presents the lowest total cost path, and the distribution of the paths is basically consistent with that of the actual railroads. We then construct the dummy variable, LCP, to identify whether a prefecture is located on these lowest total cost paths.
The 2SLS specification is as follows:
where LCPit represents the dummy variable to indicate whether prefecture i is located on the lowest total cost paths in year t, and is the estimation of railroad access. Other variables are the same as those in Eq. (1); β2 captures the effect of railroad access on the number of modern banks, and β3 captures the effect of LCP on railroad access.
Columns (5) to (8) in Table 2 reports the results. The Kleibergen and Paap F-statistics reported in columns (5) and (7) are significantly greater than 10, confirming the hypothesis that the LCP is not a weak instrument. As shown in Table 2, the results estimated by 2SLS are consistent with those estimated by fixed effect model, implying that railroad construction affects the development of the modern banking industry. More specifically, a prefecture has 3.063 more banks when it has a station (or around 299% more relative to the mean number of modern banks, 1.025), as shown in column (5); a prefecture has 0.248 more banks (or around 24% more relative to the mean number of modern banks), as shown in column (7). Compared with road transportation, railroads have higher capacity and lower costs. The more stations that are established, the greater the potential for trade and the higher the demand for trade settlement. The need for warehouse and exchange near stations is even greater than in other places, and the modern banks can meet the need through establishing bank branches.
Branches are institutions that provide specific financial services. The impacts of railroad construction on the headquarters and branches might be different. We therefore divide the sample into two for regression. As shown in Table 3, with railroad access, a prefecture has 1.352 more headquarters (or around 286% more relative to the mean number of modern banks,0.472) and 1.712 branches (or 310% more relative to the mean number of modern banks, 0.552). In terms of the number of stations, a prefecture can be predicted to have 24% more bank locations (10% more headquarters and 14% more branches) per additional station. The results show that railroad construction significantly promotes not only the creation of headquarters but also the expansion of branches, and the impact on branches is greater than that on headquarters. This suggests that the demand for specific financial services near the railroad stations promotes the establishment of branches.
During the period of construction, bankers usually have expectations about the future benefits brought by opening of the railroads and thus are likely to locate in advanced headquarters or branches in areas where stations are to be opened. To examine the expected effect of railroad additions, we regressed on the railroad variables in period t + 119 and the results are reported in Table 4. All the estimates are in line with those in Table 3, implying the expectation that railroad stations promoted the development of modern banks. This finding suggests that railroad placement is likely to bring about greater business opportunities attractive to banks in the local market nearby (Rawski, 1989; Cheng, 2003).
4.2 Placebo Tests from Planned but Unconstructed Rail Lines
The previous section explores how the development of the banking industry was affected not only by completely built railroads but also railroads while under construction. In this section, we investigate the effects of ‘placebo’ railroad lines; that is, those planned to be constructed but never actually built.
In June 1919, Dr. Sun Yat-sen, the pioneer of the democratic revolution in the late Qing dynasty period who became interim president of the Republic of China in 1912, published the International Development of China, which put forward a long-term plan for the development of China's economy. The plan was a collection of Dr. Sun's thoughts on the modernization of China's economy, specifically in terms of industry, agriculture, and transportation. The plan focused on the construction of ports and railroads,20 with Dr. Sun suggesting six major railroad systems including 106 lines across the country, extending over some 100,000 kilometers. In 1920, this work was widely publicized across China. Since railroad construction required a vast amount of money, Dr. Sun's solution was to borrow overseas. He sent the plan to ambassadors of the United States, France, Italy, and the United Kingdom. However, the proposed railroad construction plan went unrealized partly due to its size and financial requirements, and Dr. Sun’s resignation.
But the proposed lines in Dr. Sun's plan were useful for placebo testing. We sorted out the proposed Central and Southeastern railroad's route network, manually identified the locations of ‘placebo’ railroad stations, and matched them into 1911-based map data.21 There were 31 main railroad lines22 that were perceived at the time as likely to be built, extending into 105 prefectures in 17 provinces, serving as our ‘placebos.’
Referring to the design of Donaldson (2018), the regression can be specified as:
where Railplani is a dummy variable that indicates whether a prefecture has planned but eventually not constructed railroad stations (1 = Yes); Post1919t is a dummy variable to indicate whether the year of data is after 1919 (similarly, Post1920t equals 1 after 1920). The coefficients θ1 and θ2 capture the effects of the planned but unbuilt stations on the modern banks after 1919 (or 1920). Theoretically, we should not expect to see any significant impacts from these planned but unconstructed railroad stations on banks.
Table 5 presents the results, showing that the coefficients of these placebo railroads are statistically insignificantly different from zero. Meanwhile, the coefficients of the built railroads were not significantly changed by the inclusion of these placebo variables. We, therefore, confirm that the impact of railroads on the modern banking industry is not driven by accidental factors.
4.3 The roles of concessions and hubs on bank expansion
As mentioned in section 2, in foreign concessions, extra-territorial rights were retained by foreign powers. Such a regime was able to provide relatively stable property rights protection in the face of a larger national environment of political instability. In this way, railroad placement in a prefecture that had concessions was typically more conducive to the development of modern banks than in a prefecture with no concessions, which is confirmed in Panel A of Table 6. Regardless of whether a prefecture had concessions, railroad placement still significantly promoted the development of modern banks. It is just that the effect in concessionary prefectures is greater than that in non-concessionary ones.
A possible explanation is that the railroads increased market accessibility in any case. For bankers, the profit potential of the more extensive market facilitated by railroads may have offset any concerns about a potentially precarious operational environment in terms of property rights protection. For example, Ma (2019) shows that China's financial reform represented by Shanghai during the Republic of China mainly benefitted from institutional protections provided by public concessions and CMC. In considering that the legal protection effects of the concession are centered on consular courts but can be expanded up to 400 kilometers (Keller et al.,2021), it is worth emphasizing that the location selection of headquarters has been typically concerned with property rights protection, while that of branches is more based on potential profits from accessible customers. So, the effect of railroad construction in a prefecture with a concession includes not only property rights protection but also market access. For the prefecture without a concession, the impact of railroad construction on branches is greater than on headquarters.
A station is identified as a hub if it is a terminal of a line or an intersection station between two lines. Those transportation hubs are usually freight distribution centers that require vast capital for freight flow, driving more financing needs and in turn likely to thus promote the growth of modern banks. The results in Panel B support the perspective that hub stations are conducive to the development of modern banks. In particular, hub stations significantly promoted the establishment of headquarters, on which non-hub stations had no significant effects. Both hub and non-hub stations significantly promoted branch expansions. This is likely due to the different functions of headquarters and branches, as headquarters centrally gather and distribute financial resources, while branches expand the retail business.
Finally, we discuss the role of regional trade potential. We use a dummy variable indicating whether a prefecture had a significant silk or tea (both important trading goods for China in the 20th century as well as earlier ones) production area as a proxy for trade potential, due to data availability limitations. The results of Panel C in Table 6 suggest that the impact of railroad construction on the development of modern banks is associated with regional trade potential.
4.4 Mechanisms
In this section, we explore two potential mechanisms for promoting bank growth: modern industry and qianzhuang. The development of modern industry stimulated financial demand and qianzhuang was deeply involved in trade settlements due to the increasing trade promoted by railroads.
To explore the potential mechanism by which modern industry may have promoted bank growth, we manually collected information on industrial firms from Du (2014), which recorded the year of establishment and the location of each firm in the 1840–1937 period in China and can be used to calculate annual establishment of new firms by prefecture. Firms in the following six categories were included and delineated: agricultural, mining, manufacturing, construction, commercial, and electrical industries. We use the annually accumulated numbers of firms as the mechanism variables. Panel A in Table 7 report the results. The effect of railroads on industrial firms and the effect of such firms on modern banks are quite remarkable, both in headquarters and branches, which implying these firms are a potential mechanism through which railroads may promote the development of modern banks.
The result has some implications. The operation of railroads overcame distance barriers that hindered large-scale freight transportation and slashed transit costs, facilitating the delivery and purchase of raw materials, fuels, and products. Trade and business flourished, and modern industries spread and established factories along the railroads. However, many modern industries ran out of funds after purchasing equipment or lacked adequate raw materials procurement.23 The Dasheng Cotton Mill factory, for example, continuously sought loans from all available financial institutions since the early period of its establishment. 24Modern banks, such as The Shanghai Commercial & Savings Bank and The Kincheng Banks, sought such opportunities and introduced the mortgage loan that soon became one of the most popular transaction forms of early 20th-century Chinese financial markets (Cheng, 2021).
Next, we examine the mechanism of qianzhuang, and Panel B in Table 7 report the estimates. The results of the first-stage estimation show that a prefecture had 0.72 more qianzhuang when it had railroad access and 0.05 more qianzhuang per additional railroad station. In section 2.2, we have mentioned that traditional local banks, mainly qianzhuang, provided short-term microloans to local merchants and enterprises. Qianzhuang had relatively small amounts of capital and generally provided services such as currency exchange, issuance of commercial paper, and credit lending (Zhang, 1989). Our results imply that it is through qianzhuang, that the branches of modern banks met the growing need for trade financing after railroad construction.
From the above perspective, there are three possible explanations why the presence of qianzhuang might be another potential mechanism leading to the development of the modern banking industry. First, modern banks and qianzhuang were complementary in business to some extent. The establishment of railroads increased cross-regional trade and the distribution of products and raw materials from rural areas, prominently, raw silk and tobacco, which made them begin to enter the foreign trade network. The increase in trade volume required financial institutions to develop new payment methods, optimize credit issuance, and increase capital supply (Rawski, 1989). Thus, many modern banks began to establish branches in areas far from commercial centers. Qianzhuang was familiar with local business environments while modern banks could compensate for the weakness of the low-capitalqianzhuang. Therefore, it became the norm for modern banks and qianzhuang to jointly provide loans to industrial enterprises.25
Second, qianzhuang's advantages in clearing and settlement also encouraged modern banks to cooperate with them. Since the opening of a series of treaty ports after the Opium War, the local currency (e.g., zhuangpiao) issued by qianzhuang at those locations became widely accepted by foreign merchants and became the main medium for foreign trade settlement. In addition, the currency used between the treaty ports and the mainland became the same currency in vogue for commercial transactions in major commercial cities. Qianzhuang was therefore closely related to both domestic and foreign trade. The development of trade greatly increased the demand for qianzhuang to use financial instruments such as zhuangpiao (cashier’s check issued by qianzhuang) and commercial acceptance bills for clearing and settlement. Bill settlement by domestic banks also relied more on qianzhuang to be completed before the establishment of the Shanghai Bills Exchange (by banks) in 1933. For example, the qianzhuang industry in Shanghai established the Shanghai Remittance and Exchange Association in 1890, which became the only intermediary for trade settlement. The railroad connected the treaty ports and the mainland market, promoting foreign trade and in turn the development of qianzhuang. To meet the needs for funds, qianzhuang issued cashier’s checks as credit instruments to establish cooperative relations with foreign banks, piaohao and Chinese-funded banks, forming an interbank lending market.26
[16] The Qing government was defeated in the Sino-French War in 1885, while the efficient and rapid transportation of soldiers was an important driving force for the construction of railroads during the Qing dynasty (Wang et al. 2014).
[17] These military couriers included six Green Standard Army barracks of Qing dynasty and twelve important historical military affairs. The military data came from Luo (2011) and Lai (1988). The total 34 nodes consisted of Jun Xian, Kunming, Shanghai, Qiantang, Fengyang, Jiao Zhou, Tianjin, Licheng, Tongshan , Daxing, Hai Zhou, Zheng Zhou, Haicheng , Nanchang, Changsha , Huolu, Jiujiang , Wanping , Datong, Yangqu, Henei, Hekou, Yin Xian, Jiangning, Wuhu, Jiangpu, Linyu, Baoji, Panyu, Longxi, Xiangtan, Hanyang, Salaqi Ting, and Ruicheng.
[18] More specifically, we divide the historical map into 10*10km grids by ArcGIS, and the software algorithm can sum the weights of the topographic and hydrological indicators of each grid, in turn calculating the lowest total costs of railroad construction between any two grids. For any two nodes, we can find out the lowest total cost path by connecting all the lowest total cost paths of grids between two nodes.
[19] We also conduct regressions on railroad variables in t+2 and t+3, and the results are quite robust. The results are shown in Appendix Table A3 and Table A4.
[20] One of the goals was to build three world-class maritime ports and many other commercial ports within 10 to 20 years.
[21] There were 204 stations in the proposed Southeastern railroad's systems and 174 more in the Central system.
[22] The placebo main railroad lines include ChongQing - Fuzhou Line, Dongfang Dagang- Xinfeng Line, Fuzhou-Zhenjiang Line, Fuzhou - Wuchang Line, Fuzhou - Gulin Line, Wenzhou - Chenzhou Line, Xiamen - Jianchang Line, Xiamen - Canton Line, Shantou - Changde Line, Nanjing - Shaozhou Line, Nanjing - Jiaying Line, Dongfnag Dagang - Nanfang Dagang Line, Jianchang - Yuanzhou Line, Nanjing - Luoyang Line, Nanjing - Hankou Line, Xi`an - Datong Line, Xi`an - Ningxia Line, Xi`an - Hankou Line, Xi`an - Chongqing Line, Lanzhou - Chongqing Line, Beifang Dagang - Xi`an Line, Beifang Dagang - Hankou Line, Huanghegang - Hankou Line, Zhifu - Hankou Line, Haizhou - Jinan Line, Haizhou - Hankou Line, Haizhou - Nanjing Line, Xinyanggang - Nanjing Line, Lusigang - Nanjing Line, Coast Line, Huoshan - Jiaxing Line. See Sun (1920).
[23] Some firms ran out of funds after purchasing equipment, and some firms did not have enough funds in raw materials purchase. See Liu (1940) on page 66-69.
[24] The discussion about shortage of funds in Dasheng (a representative enterprise in early 20th century China) is described in detail by Elisabeth Köll (2004).
[25] Many studies provide evidence of this kind of cooperation, such as Jincheng Yinhang Shilia o(The History of the Kincheng Bank) and Shanghai qianzhuang Shiliao(The History of Shanghai qianzhuang). See Rawski (2009) on page 162.
[26] Interbank lending is a form of credit system in which qianzhuang borrows money from foreign banks through Zhuangpiao (a credit promissory note issued by qianzhuang). Qianzhuang can borrow funds as it needs (usually settled once every two days), but foreign banks can reclaim them at any time.