Globalization and the Failure of Democracy on the Periphery of the Global Economy, 1870-1946 E.S. Wellhofer Department of Political Science University of Denver Denver, CO 80201 Paper prepared European Consortium Meeting, Salamanca, Spain 10-15 April 2014. A special thanks to Professor Piero Ignazi of the University of Bologna for his gracious and generous assistance in all phases of this project. This paper is developed from research sponsored by the National Science Foundation under Grant SBR-94-2281. The Foundation’s support is gratefully acknowledged. The Istituto Cattaneo of Bologna, the Dipartimento di Politica, Istituzioni, Storia of the University of Bologna, and Istituto di Studi Avanzati of the University of Bologna, the Ministero dell’Interno, and the Istituto Nazionale di Statistica in Rome also provided invaluable assistance.Special thanks to Jeffery Williamson for sharing his data and Susanne Anderson for assistance in GIS. 1 Globalization and the Failure of Democracy on the Periphery of the Global Economy, 1870-1946 JOHN MAYNARD KEYNES: The inhabitant of London could order by telephone, sipping his morning tea, the various products of the whole earth, and reasonably expect their early delivery upon his doorstep. Militarism and imperialism of racial and cultural rivalries were little more than the amusements of his daily newspaper. What an extraordinary episode in the economic progress of man was that age which came to an end in August 1914. FRIEDRICH VON HAYEK: We did not realize how fragile our civilization was. … The decisive influence was really World War I. It's bound to draw your attention to the problems of political organization. Abstract: This paper examines two cases of the failure of democracy with the contraction of the global economy after 1914. The Heckscher-Ohlin-Rowgowski model provides the theoretical basis, but the research extends and tests the models hypotheses more fully to domestic politics. The results generally confirm the H-O-R model, but also place emphasis on strategic choices and policies of elites. The analysis required the application of Geographically Weighted Regression analysis to capture the nuances of a highly detailed data base. 2 Introduction: Although the relationship between globalization and democracy has long interested social scientists and historians, these connections have also captured popular imagination. Especially after the 1980, democracy and globalization seemed unstoppable allies in global modernization see Figure 1.1. Subsequent surges of democracy in Russia and Eastern Europe and most recently the ‘Arab Spring’ seemed attributable in varying degrees to globalization. Proponents of globalization envisioned a future of market economics, modernization and democracy. Critics, on the other hand, cautioned that globalization could generate a backlash, undermine governments, increase inequalities, destroy the environment, and obliterate indigenous cultures. Scholars argued for an examination of past epochs of globalization and democracy that ended in democracies’ collapse. To its proponents, particularly in the popular media, globalization promised to foster several conditions favorable to democratic politics. These included: International economic openness, especially international trade and foreign direct investment that would foster the economic growth and prosperity associated with democracy. 3 Domestic free market economic policies that would stimulate economic development, innovation, and entrepreneurship, and would encourage social change including rising educational levels, urbanization, and female work place participation. Cultural globalization and information flows that would stimulate openness to new ideas as well Modern Post-Materialist Values. In examining the correlations of these variables, the results seemed to support their statements. Several measures of globalization: overall globalization score, cultural globalization, openness of the economy, and prevalence of market based economic policies, post-materialist values, foreign direct Investment, and tourism all correlate with democracy. Critics responded that generalizing from the recent cases of globalization covered too short a time period, and ignored many intervening variables. It was essential they argued to examine cycles of expansion and contraction of globalization and democracy because the economic downturn following 2007 was too brief for meaningful analysis of its effects. Part 1: Political Scientist and Economists Examine Globalization and Democracy Political scientists and economists studying globalization tended to pursue different research agendas, Alt et al. offered an early attempt to bridge the gap 4 (Alt, Frieden, Rodrik, & Rogowski, 1996). A synthesis developed as political scientists argued for long-run historical analysis to understand the success or failure of democratization, and especially for including international dynamics. In other words, the analysis became more historical and included both domestic and international dimensions of globalization and democracy (Rueschemeyer, 2013)(Capoccia & Ziblatt, 2010) (Boix, 2011). Moreover, it was essential to link international dynamics to within nation-state politics. In the 1990s economic historians turned their attention to long-run historical analysis, paying particular attention to the 19th century, examining both the expansion and contraction of globalization and developing models and an extensive body of literature (K. H. O’Rourke & Williamson, 1999)(Aghion & Williamson, 1988)(K. H. O’Rourke & Williamson, 1999) (Hatton & Williamson, 1994)(Jeffery G. Williamson, 2001)(Eichengreen & Irwin, 2009)(K. H. O’Rourke & Taylor, 2006)(Grossman & Helpman, 2004). Some economic historians focused on the political correlates of globalization. For example, one recent analysis of globalization and democracy found that the expansion of economic globalization facilitated democracy. The authors argued for more detailed studies on within nation-state dynamics (Eichengreen & Leblang, 2008, p. 320). 5 The correlation between economic globalization and democracy was as powerful as it was alluring, see Figure 1.1 (Eichengreen & Leblang, 2008, p. 2). Yet, the analysis also indicated that non-recursive models using instrumental variables would be necessary to disentangle the causal effects. For example, democracy could work against globalization (K. H. O’Rourke & Taylor, 2006) (Eichengreen & Irwin, 2009); and further that globalization could also undercut democracy (Jeffery G. Williamson, 2001) (Acemoglu & Yared, 2010). Like the political scientists, economic historians held that the understanding of globalization and democracy must account for the collapse of democracies in the inter-war period. However, when research examined the impact of the economic contraction of 1920s and 1930s at the cross-national level, it concluded that while economic crisis favored for the rise of extremism; the success of extremist movements was conditioned by domestic factors. In particular, extremist parties proved most successful in countries with short histories of democracy, recent suffrage expansions, and low thresholds of representation, and where depressed economic conditions were permitted to persist (Bromhead, Eichengreen, & O’Rourke, 2013). These findings again highlighted to the importance globalization to domestic politics. 6 Both approaches proposed agendas for future research. Among those common key tasks were: Analysis of long-run history while recognizing that switch points, were crucial. History unfolded forward and elite decisions were important. More detailed examination of internal politics and directly link internal and international politics to understand how the political economy of organized interests and institutional arrangements affects their potential, e.g. political parties. Better measures of democracy; and instrumental variables and nonrecursive models to capture simultaneity, feedback and reinforcing dynamics. Part 2: Globalization and Democracy in the 19th Century Atlantic Economy The following research places the above agenda at the center of this analysis. From economic historians, the paper draws upon models of international trade and redistribution developed by Heckscher-Ohlin. These models perform well for the 19th Century, an historical period which motivated and informed their development (K. H. O’Rourke, Taylor, & Williamson, 1996)(K. O’Rourke & Williamson, 1999b November)(K. H. O’Rourke & Williamson, 1999). 7 Heckscher-Ohlin postulated that with the expansion of trade, those factors in relative abundance (relative to the trading partner) will gain and those factors in relative scarcity will lose. Rogowski (1989)linked this insight to political alliances among gainers and losers and reflecting political cleavage patterns within countries. An alliance between capital and labor in a country where both are relatively abundant will result in an urban/rural cleavage, e.g. Britain. The relative influence of these alliances determines the resulting tariff policies (Blattman, Clemens, & Williamson, 2002)(Eichengreen & Irwin, 2009) (Lehmann & O’Rourke, 2011). Of course, relative power of the several factors will vary across time. Economic factors such as new market entrants, changing transport costs, etc. will alter the advantages (K. H. O’Rourke et al., 1996)(Blattman, Hwang, & Williamson, 2004). Moreover, the influence of the gainers and losers will vary according to whether trade is expanding or contracting. In periods of expanding trade, those factors in relative abundance will gain influence. In periods, of contracting trade, the opposite occurs. Elaborations and modifications included (Midford, 1993) (Alt et al., 1996) (K. H. O’Rourke et al., 1996). The general model has performed well (K. O’Rourke and Taylor (K. H. O’Rourke & Taylor, 2006) This research draws upon this general model to analyze cases at different locations in the 19th Century Atlantic economy. While the paper uses insights from 8 the British case, the research concentrates on two cases the periphery of the global economy: Italy, a case on the poor periphery of Europe, and Argentina, a case on the poor periphery of the New World. The general approach can be found in (K. H. O’Rourke & Williamson, 1999)(Jeffery G. Williamson, 1995) (Jeffrey G. Williamson, 2002) (Bértola & Williamson, 2003)(Pamuk & Williamson, 2000)(Eichengreen & Leblang, 2008)(Eichengreen & Irwin, 2009). These works discuss long-run trends in factor prices and illustrate the sectorial gainers and losers. Next, the paper formulates testable hypotheses on the impact of global economic forces within the cases that directly tie globalization’s forces to domestic politics. The Heckscher-Ohlin-Rowgowski model and Case Selection The paper examines three cases at different locations in the 19th Century global economy, but particularly on two cases of the failure of democracy in the 1920s and 1930s. Italy, 1870-1925, a protectionist, poor peripheral European economy with a low K/L and R/L ratios. Suffrage expansion in 1909 and 1913.Collapse of democracy in 1920s and rise of Fascism. 9 Argentina, 1890-1950s, a free-trading, poor, new world economy with low K/L and high R/L ratios. Suffrage expansion in 1916. Collapse of democracy in 1930 and the rise of Peronism. Britain, 1870-1930s, a free-trading wealthy, European core economy with high Capital (K) to Labor (L) K/L, and low Resource or land (R) to Labor R/L ratios. Suffrage expansion in 1885-1886 and 1918. Stable democracy. The expected trade patterns under conditions of free trade follow the HeckscherOhlin theorem. Each country exports relatively abundant factors of production and imports relative scare factors of production. Argentina and Britain possessed highly complementary factors. Britain exported labor and capital and imported Argentine land. Labor migrations were more limited to Argentina, British labor preferred English speaking British colonies. Italy, a country abundant in labor and poor in land and capital, developed an alliance of land and capital favoring protectionism. Government policies promoted migration. Of course, free trade was never entirely free and varied across time. Tariff rates varied the 19th Century period of globalization, but all countries adopt more protectionist policies after 1914. In addition, to economics, institutional arrangements altered the bargaining power of the several factors. For example, expansion of the franchise in countries 10 abundant with labor will favor free trade, while the expansion of the franchise in labor scarce countries will favor protectionism (Grossman & Helpman, 2004)(K. H. O’Rourke & Taylor, 2006)(Grossman & Helpman, 2002). The effects of the expansion and contraction of trade are clearly evident in the data: returns to land/rural labor, and urban/rural labor in a period of expanding trade 1886-1913. Protectionism sustained Italian rural wages. Argentine rural wages declined. During a period of contracting trade, 1914-1918, British and Italian rural wages rise, but collapse with the resumption of the global trade. Argentina entered a period of long run decline of the rural sector see Figure 2.1. How Free Was Free Trade and When Did It Contract? Barriers to trade most obviously included tariffs. During the expansion of globalization, 1870-1914, tariff rates declined and global trade increases. Following World War One, protectionism increased in the interwar period. How did Tariff Rates Affect Rates of Return of the Factors of Production? Protectionism will increase rates of return to those factors insulated from international competition. Each factor input will benefit from protection in proportion to its contribution of the value of production. In the alliance of scarce factors of production – land and capital – sought protection. However, labor engaged in those protected sectors also benefited. Federico and Tena (1999) 11 estimated the effective tariff rates on iron and steel at 52%, grain at 35% with the highest rates reserved for sugar at 179.9% in 1913 (Perdisa, 1938, pp. 49–57). These rates were considerably below their high points in 1897. Federico and O’Rourke (2000, pp. 284–88) estimated the effects of tariffs: military-industrial production increased by 14%; gross agricultural production by 2%, wheat production by 53%; sugar production by 50% and land rents by 8%. On the other hand, higher food prices, largely reflecting the wheat tariff, reduced urban unskilled labor real wages by 3.5%. The removal of the wheat tariff alone would have increased real wages by 2.2%. However, geographical variations were great, and as we shall see the wheat and sugar tariffs raised returns to land as well as labor in the Po Valley and their repeal during the war contributed to the Fascist success in 1921. How did the Expansion and Contraction of Trade Change Return to the Factors of Production? Heckscher-Ohlin postulates that the expansion of trade will reduce returns to relatively scarce factors of production and increase returns to relatively abundant factors of production. 12 International Labor Migration and Returns to Land, Labor and Capital Migration held great consequences for returns to the factors of production. Italian and British labor emigrated with a significant proportion immigrating to Argentina. Data for Argentina 1885-1945 show migration corresponded to surges during the expansion of globalization, collapses during World War One, recovers somewhat in the inter-war period and collapses again with the economic crisis of the 1930’s. Italian migration to Argentina followed a similar pattern. Migration altered returns to all three factors of production. Emigration will raise wages and immigration will reduce wages, declines of labor costs will increase returns to land and capital. O’Rourke and Williamson (1999, p. 155) estimated that migration to Argentina reduced real wages by 21.5% between 1870 and 1910. By contrast, emigration from Britain raised real wages by 5.6% and by 28.2 % in Italy. For the United States immigration reduced real wages by 8.1%. Expanding trade provided Argentine land owners with increased returns while immigration reduced returns to labor. Argentine rural wages show a long-run decline, but with significant jumps during periods of low migration, World War One, and following the economic collapse of the 1930s. Italy and Britain evidence the opposite, particularly Italy. Rising wages in Britain and Italy are explained partly by 13 emigration, partly by rural-urban migration and partly by tariff policy. James and O’Rourke (2012, pp. 5, 18) estimate that the grain tariff increased nominal wages, reduced employment in industry, and hence stimulated migration. Italian protectionism followed the expected pattern until the interwar period. The Fascist regime under its “Battle for Wheat” explains this, see below. Commodities Trade and Returns to Land and Labor: The European Grain Invasion 1870-1913 Commodity trade also altered returns to land, capital, and labor. The 19th Century witnessed an enormous expansion in trade in food stuff, particularly wheat. Between 1885 and 1914 world wheat production rose by 44%, and European production rose by only 11%. Wheat trade provides an excellent measure of trade in food stuffs because it formed a dietary staple; its trade expanded greatly in the 19th Century, and its history is well documented (Hevesy, 1940)(Falkus, 1996)(Malenbaum, 1953)(Scobie, 1964). Italian agricultural protectionism largely reflecting the wheat tariff generated higher food prices which reduced unskilled labor real wages by 3.5%, while the repeal of the wheat tariff alone would have increased real wages by 2.2%. The Italian tariff also increased domestic agricultural production and land prices by 8% (Federico & O’Rourke, 2000, pp. 287–99). Moreover, protectionism enabled labor to bargain for higher wages, 14 particularly where rural trade unions were powerful, e.g., the Po Valley. Italian land and labor contrast with British rural wages. Argentine land benefitted from the grain trade, but Argentine rural labor bore the effects of immigration. O’Rourke (1997) documented the grain invasion effects on wheat and land prices, returns to labor, and the effects of tariffs and his estimates confirm the Heckscher-Ohlin model. Figure 2.1 illustrates the changing returns rural and urban unskilled labor. Rural wages declined in Britain and Argentina consistent with the H-O model. Italian rural wages increased in the interwar years, but fluctuate greatly and figure prominently in the Fascist success. The increases after 1922 show the effects of the regime’s agricultural policies (Cohen, 1979)(Squeri, 1990)(Nello, 1981). International Capital Flows and Returns to Land and Labor Finally, international capital flows shifted returns of land and labor. Argentina was a capital and labor scarce country and its economy was complementary to the UK. Hence, Argentina, as noted above, exported land to the UK and imported capital. About 40% of all British capital exports went to South America and Argentina was the largest single recipient of British capital with about 8% of total overseas investment; British capital constituted about 60% of all foreign investment in Argentina during the period. Capital increased the productivity of industrial labor, 15 and hence, rising industrial wages led to a divergence of rural and urban wages, see Figure 2.1. Little foreign capital flowed into Italy (James & O’Rourke, 2012) (Hertner, 1981)(Fenoaltea, 1988) and agriculture held more political sway than industry (Coppa, 1970, pp. 768–69)(Federico & Tena, 1999, pp. 121–22). Predicted Political Outcomes during Trade Contraction The H-O-R model postulates different political outcomes as a consequence of globalization’s effect on land, labor and capital. Above the paper noted that pre1914 trade and political coalitions were consistent with the H-O-R model: Abundant factors of production favor free trade and scarce factors the opposite. . During periods of contacting trade, the previous arrangements are reversed. For Italy, an economy of scarce land and capital and abundant labor, H-O-R predicts an alliance between land and capital against labor, a classic characterization of Fascism. However, the model assumes free trade which is not the Italian case. For Argentina, an economy of capital and labor scarcity and abundant land H-O-R predicts an alliance of labor and capital against land. Agrarian and Industrial Populism: Italy and Argentina It is the thesis of this paper that Fascism in Italy and Peronism in Argentina were populist movements whose success can be explained by the contraction of the global economy. Populism is defined in this research as a broad based cross-class, 16 emotive, anti-intellectual, nationalist, and anti-elitist movement with a charismatic leader not from the traditional political elite. In Italy, Fascism emerged from agrarian radicalism in the Po Valley (Lyttelton, 1987, pp. 55–64) (Cardoza, 1982)(Corner, 1975)(Zangheri, 1960). This paper directly links the global economy to the rise of Fascism. In addition, two switch points figured in the Fascist success, one on the right and one on the left: tariff reform by the Liberal government in 1921 and a left schism between maximalist and minimalist strategies in the 1921 elections. Argentina presents a populist alliance of newer industrial elites and urban labor, new strata created by the collapse of global trade and import substitution industrialization (ISI). Part 3: Linking Globalization’s Effects to Domestic Politics: Italian Fascism as Agrarian Populism Until the war, Italian agriculture was insulated from the ‘Grain Invasion’ by protective tariffs which generated higher returns to both land and labor, particularly in high productivity wheat growing areas. Rising food costs during the war led the Italian government to suspend tariffs on wheat imports, impose labor arbitration, bring in labor from other provinces, mandate wage increases, and 17 promise land redistribution after the war (Cardoza, 1982, pp. 223–47) (Salvemini, 1931)(Saraiva, 2010) (Cohen, 1979). In 1921, the Giolitti government broke this promise. The regime reinstituted tariffs on industrial goods, but not on agricultural imports. This is one of the significant switch points noted above. The effects were immediate: wheat imports invaded Italy. Figure 3.1 illustrates these effects indexed to 1913. Compared to eve of the World War One, wheat imports jumped by 40%, while domestic wheat plantings stagnated; domestic wheat prices plummeted by 25%, while the ratio of wages to the wheat prices skyrocketed by 50%. These effects on Po Valley agriculture were devastating because the Po region accounted for 13% of the nation's farm land, but one-third of agricultural production. It accounted for 50% of hemp, 25% of tomatoes, and 80% of sugar beets in 1911. Profits on sugar beets and hemp were four and ten times that of wheat respectively (Cardoza, 1982, p. 128ff)(Sereni, 1975). Several additional contextual factors converged in the Po Valley to foster agrarian fascism: the intensity of wheat production aggravated the impact of tariff policy, low emigration prior to 1914 meant an oversupply of labor and augmented by returning veterans and repatriates, the concentration of landless day labors and militant agrarian trade unionism. With tariff protection, laborers and their unions 18 could demand and producers could concede well-paid wage agreements. It is easy to understand how both producers and laborers could join forces against free trade and look nostalgically on the benefits of protectionism in the decades prior to 1914 (Cardoza, 1982, pp. 46, 128ff, 226–32).But if correct , it would contradict the H-O-R model’s hypothesis. Understanding Fascism’s success in the Po Valley requires understanding the rural labor market and the consequences for property rights conflict. Two types of rural labor predominated in the Po Valley and they coexisted on uneasy terms. Rural day laborers (braccianti) worked for cash wages and competed for work each day. As a more privileged stratum, contract workers (obbligati) had commitments of work from year to year and had the right of first hire. Landless rural wage labor constituted the dominant form in the Po Valley. Rural wage labor averaged 80 workers per cultivated hectare, compared with 29 workers per cultivated hectare in the rest of Italy. Enterprises of 20-50 hectares constituted 21% of all enterprises. This could mean that a commercial estate of 50 hectares had a potential labor force of 4,000 wage laborers. Such laborers were not housed on the estate, but in tenement-like blocks, termed “agrarian towns.” The functioning of the labor market is also important for understanding the strategic choices and tactics of the Socialists, Communists, and Fascists. Each 19 morning, day workers gathered at specified locals to bid for work. Where trade unions were strong, the union agents oversaw labor exchanges. In the Po Valley, most labor exchanges were overseen by Socialist trade union leaders. However, the two types of rural labor belonged to two different unions, both affiliated with the Socialists. In addition, there were Catholic trade unions, but these were less significant. Socialist union agents were naturally disposed to offer work to their respective union members. These conditions aggravated the tensions between the two types of labor and are important for understanding strategies and choices. This strategy underpinned the second switch point and was pivotal in the Fascist success. Spatial Models of Italian Fascism The Po Valley as the epicenter of Fascism. Figure 3.2 presents the geographical distribution of Fascist vote in 1921. Fascist membership, organizational density and violence, day laborers, contract laborers and agrarian trade union density evidence similar geographic concentrations. This high spatial concentration requires different analytical techniques: First, tests for spatial dependence in the data and, second, incorporation of spatial dependence into the models. Spatial dependence arises when geographically contiguous units show contextual effects. Unless, these contextual effects are incorporated into the model, biased 20 coefficients result. Spatial dependence is evidenced by spatial autocorrelation and is similar to temporal autocorrelation in time series analysis. In time series analysis, the observations at time T1 influence subsequent observations, T2, T3… Failure to incorporate cross-time dependency into biases the regression coefficients. Spatial autocorrelation is similar. The test statistic, Moran’s I, measures spatial dependency. Just as in time series analysis, the model must specify the scree line of the contextual effects decay. For example, a temporal model employing first order differences assumes the temporal effect dissipates after one observation. In GWR the researcher must examine the rate of spatial decay. Does the spatial effect disappear after the nearest neighbor, or, if more distant neighbors, how many neighbors? Once spatial autocorrelation and contextual effects are identified and measured, GIS models employing geographically weighted regression (GWR) incorporate these into the model (O’Sullivan & Unwin, 2010, pp. 226-35) (Fotheringham, Brudson, & Charlton, 2002). When contextual effects are measured for nested data, the analysis takes the form of multilevel GWR modeling (Jones, 1991) (Duncan, 1997) (Subramanian, Jones, Kaddour, & Krieger, 2009). Moran’s I in GIS is the appropriate test statistic. If Moran’s I is above .3, significant autocorrelation is present. The residuals of OLS models have a Moran’s I of 0.388, 21 thus strong spatial autocorrelation operates in the data. Spatial dependency appears in the several measures: Fascist organizations, Fascist violence and Fascist vote in 1921, Fascist membership, organizational density, day laborers, contract laborers, and agrarian trade union density. Subsequent, models incorporate this spatial dynamic. GWR provides several goodness of fit measures: The global R2 is the overall fit of the model; the local R2 is the explained variance for each geographical unit (Fotheringham et al., 2002, pp. 215–16). Mapping the standardized residuals highlights the performance of the model. Violence and the Rise of Fascism One of the central questions in research on Italian Fascism was the role of violence. In several analyzes of Fascism, violence is crucial, e.g. (Luebbert, 1991)(Lyttelton, 1987)(Elazar, 2001). The analysis deploys a series of GWR models to test the violence hypothesis. The model estimates Fascist vote in 1921 by the contextual effects of violence. All measures of violence under estimate the Fascist vote. In other words, the observed Fascist vote was greater than would be predicted by Fascist violence alone. Figure 3.3 maps the standard deviations of the observed and standardized residuals for Fascist vote predicted by Fascist violence. The maps show clearly those areas of greatest Fascist votes are also 22 areas where Fascist-Socialist Violence is a poor predictor of the vote. This evidence suggests additional explanatory variables are required. Violence, Land Tenure Patterns and Political Strategies To more fully analyze the role of violence, violence must be presented in the contexts of land tenure patterns and politically strategic choices. First, violence was a consequence of class conflict among property holders; second, violence was the strategic choice of both the right and the left. Land Tenure Patterns and Fascism The Family Farms and Share Croppers Scholars in the class tradition hold that support among small property holders and violence formed the Fascist electoral base. The hypothesis is that leftist violence drove the property owners into the Fascist camp. We begin with a test of the widely cited interpretation of Fascist support: Fascism was a response to property holders to the left radicalism of the Biennio Rosso. Property holders possess legal property rights. Rights refer legal right to alienate property. Agrarian property rights characterize class conflict in agriculture. Seven property rights define agricultural enterprises: the rights to alienate land, labor, capital, technology of husbandry, produce, and extent of market engagement (Wellhofer, 2003, pp. 365–66). Commercial agricultural enterprises predominated 23 in the Po Valley; hence extent of market engagement differed little across the enterprise types. In the agrarian sector, 40% of the heads of house hold were agricultural day laborers, 20% family farmers, 12% renters, 13% share croppers and the remainder non-cultivators (Statistica, 1935) (Pagani, 1932, p. 137ff). The family farmer possessed the most extensive property rights with control over land, labor, capital, technology and produce. Share croppers held fewer property rights, lacking control over land and produce, but with rights over labor, capital and technology. This is a generalization and arrangements varied. The class conflict hypothesis states that those possessing more property rights will react more strongly to radical left movements. Thus, family farmers will support Fascism more strongly than share croppers. The models estimate Fascist vote by family farmers, share croppers and agrarian strikes. If strikes can be considered a measure of left radicalism, then family farmers and sharecroppers will manifest higher association to Fascist vote in the presence of agrarian strikes. The global R2 is .89, however, when we examine the residuals the model performs poorly in the Po Valley but well in Tuscany, where family farms and share croppers were more common (Snowden, 1989, pp. 94–96). The fit of the model is not improved with the addition of Fascist violence. The residuals remain more 24 than 2.5 standard deviations above the mean in the lower Po Valley and particularly the Po Delta. Therefore, the class conflict hypothesis is not supported. Contract Workers, Daily Wage Laborers And The Second Switch Point In the hierarchy of rural labor, contact laborers fall between sharecroppers and daily wage laborers. Contract laborers have greater control over their labor possessing the right of first hire, and they were given preference over daily wage laborers at the hiring sites. It is understandable that these arrangements and the fact that contract laborers and day laborers were affiliated to different trade unions would give rise to a rivalry and in some instances hostility. This is the context for the second switch point. In the heat of the Biennio Rosso, the maximalists promoted the proletarianization (bracciantizzazione ) of the contract laborers which would reduce their status to that of daily wage laborers (Corner, 1975, pp. 15–16) (Zangheri, 1960, p. 350). Day laborers, who likely aspired to be contact laborers, also naturally resisted this strategy (Corner, 1974, pp. 11– 13)(Bernabei, 1975, pp. 123, 151)(Roveri, 1974). The hypothesis states that both gravitated to the Fascists in reaction to the Socialist Maximalists and Communists. Both contract laborers and day laborers were over represented in the Fascist vote 25 (Wellhofer, 2003, pp. 102–3). This decision to pursue a maximalist proletarianization strategy marked the second switch point. Two models test proletarianization hypotheses. Model one tests the hypothesis that the maximalist strategy, measured by 1921 agrarian strikes, accounts for the day laborers’ support for Fascism. Model two tests the hypothesis with contract laborers. Model one produces the global R2 is .83. The residuals show it performs well in the lower Po Valley and the Po Delta where day laborers predominated and the Fascists received their highest vote. In other words, the hypothesis that day laborers gravitated to the Fascists receives support. Model two indicates that contract laborers are associated with Fascist vote significantly more strongly than would be predicted by left violence alone. Overall, the model fits less well, R2 = .42 and fails to predict the Fascist vote in both the lower and upper Po Valley. These results support the interpretation that the maximalist strategy alienated both contract laborers and day laborers. The Fascists also promised land distribution that drew supporters among day laborers. Fascist promises of land reform were more important than Fascist violence (Corner, 1974, pp. 142–58). A related hypothesis is the Fascist violence was directed against the Socialists. Using both 1921 Fascist violence and 1919 Socialist vote to estimate 1921 26 Socialist vote did not generate a strong coefficient for explaining the decline in Socialist vote from 1919 to 1921. The model generates a global R2 of .57. The standardized residuals also show the model performed well where Fascism received its greatest support. In other words, these results support the interpretation that Fascist violence suppressed Socialist vote in 1921. However, the model does not take into account the splintering of the Socialists in the 1921 election, including the Communists. Violence, Fascism, Socialism and Communism in 1921 Elections While the Communists received only 4.6% of the vote in Italy, the party performed much better in central Italy, particularly in Emilia Romagna (7%) and Tuscany (10%). One hypothesis is that the day laborers abandoned the Socialists and split between the Fascists and the Communists, and that this division accounts for the decline in the Socialist vote in 1921. Comparing the two models sheds light on this possibility. The first model estimated Fascist vote as a function of day laborers and strike activity, our measure of the maximalist strategy. The second model estimated Communist vote as a function of day laborers and strikes. The second model performs better, global R2 = .83 compared to R2 = .44. While the Communists received fewer total votes, the standardized residuals show the party performed better where strikes were more prevalent, particularly 27 in the Po Delta. Entering and removing Fascist violence from the model does not alter the outcome significantly. These results suggest the day laborers, polarized by the Fascists and maximalist strategy, moved from the Socialists in 1919 to the Communists and Fascists in 1921.The Fascists received the larger proportion. Previous analysis using an alternative estimation algorithm reached similar conclusions (Wellhofer, 2003, pp. 101–02). Part 4: Linking Globalization’s Effects to Domestic Politics: Argentine Peronism as Industrial Populism With the decline of the global economy, the Argentine agricultural exports stagnated and the economic crisis arrived in 1929. In 1930, a military junta replaced the civilian government. The new conservative government developed an economic policy of import substitution industrialization (ISI) (Cramer, 1998). The Pinedo plan of 1940 featured three elements: ISI, regional economic integration, and consumption stimulation. This policy fostered the alliance between the new industrialists and the new industrial workers (Llach, 1984, pp. 533–37) (Taylor, 1994). Italian economic autarky policies were favorably cited. Foreign investment had dried up by 1930 and domestic investment shifted from agriculture to industry. As Minister of Social Welfare, Coronel Juan Peron 28 stimulated domestic incomes as industrial wages far out stripped rural wages, see Figure 2.1 (Taylor, 2014). Figure 4.1 illustrates in red those provinces included in the analysis; these provinces formed the core of the export economy; provinces in blue were nonself-governing territories. Figure 4.2 shows the distribution of the Peronist vote in 1946. Figure 4.3 maps the natural log of the increase of industrial workers 19351945. Other measures of industrialization show a similar geographic distribution: industrial horsepower and industrial workers per factory for 1935-1946. After testing for spatial autocorrelation, the analysis employed GWR models to estimate the Peronist vote by the natural log of the change in industrial works 1935-1945. The global R2 is .69 and the residuals have a less than 1% chance of autocorrelation. Figure 4.4 which maps the standardized residuals confirms previous research that Peronism had it greatest appeal in the newly industrializing Greater Buenos Aires. None of the socio-economic variables, including migration, land holding patterns, etc., improve the fit. The Argentine findings conform to the H-O-R model: In periods of contracting trade, scarce production factors collaborated to promote their shared interests. In the Argentine case, the conservative regime of 1930 initiated an ISI strategy to preserve conservative dominance. Unexpectedly however, the ISI created and 29 mobilized new political forces which coalesced in industrial populism which undermined the regime. Observations and Conclusions The substantive findings of the research offer refinements to the existing literature. The research examined two cases on the periphery of the global economy during a period of declining trade. H-O-R postulates democratic failure. The rise of Italian Fascism deviates from the H-O-R model which remains the predominant interpretation. The H-O-R model predicted a coalition of land and capital against labor in Italy as the case of European Fascism. This research presents a different picture. Italian Fascism grew from a radical, agrarian populist movement. Fascism was a cross-class phenomenon in the most intensive agricultural region of Italy. While superficially Italian Fascism would seem at odds with the H-O-R model, HO-R assumed free trade, but protectionism changes the outcomes. Italy stood back from the 19th Century globalization. Tariff and trade policies insulated capital and land from the damages of globalization’s forces. This was particularly the case in agriculture and wheat. Government policies operated in both sectors. Tariffs protected agriculture from the ravages of the Grain Invasion benefiting both land 30 and labor particularly in the Po Valley. Meanwhile, official policies promoted migration which increased wages and generated remittances to cover the balance of payments deficits. This accommodation was thrown into crisis when international trade revived and the war-time agricultural tariff reductions continued and marked the first of two switch points. Fascism might not have gained a foothold except for the second switch point: The maximalists’ strategic choice to radicalize the rural work force. The strategy polarized the rural labor; a majority gravitated to the Fascists and a minority to the Communists. The regime’s agrarian development policies offer additional evidence of its privileging of the rural sector. These policies favored both land and rural labor. Rural wages increased see Figure 2.4. Land reclamation projects expanded acreage for redistribution. Land reform reduced the proportion of landless workers in agriculture from 44% to 28% of agricultural economically active labor force from 1921 and 1936 (years of censuses). Landless day laborers (braccianti) declined from 39% to 14%. Four thousand families received land in Ferrara alone (Corner, 1979, p. 244ff)(Schmidt, 1966, p. 33). Argentina, the case of a poor peripheral new world country followed free trade policies and became integrated into the global commodity, capital, and labor 31 markets. The results fit the H-O-R model. After the collapse of globalization in 1914 and particularly after the economic crisis of 1930s, the influence of the traditional agricultural export sector waned. Capital and labor ascended. Import substitution industrialization (ISI) policies joined the interests of capital and labor at the same time it further strengthened their political influence. The ISI policy marked a switch point. Capital gained from the trade, tariff and monetary policies, and the prospects of increased domestic consumption of the new production. Labor benefited from rising urban industrial wages, Figure 2.4. Moreover, the stimulation of domestic demand proved politically popular and underwrote the Peronist electoral triumph of 1946. These results are consistent with H-O-R. The regimes policies, however, eventually proved its undoing. ISI required increasing importation of capital goods and intermediate inputs while terms of trade declined (Taylor, 2014, pp. 11–13). Stimulating greater consumption reduced the domestic saving rate and literally consumed the traditional agricultural export products. Domestic consumption of meat increased at a rate of 0.7% per year from 1920-1959 while production increased at 0.3%. By 1955-1959 domestic demand consumed 73% of agricultural output (Diaz-Alejandro, 1970, pp. 203–04). 32 This paper broke new ground by joining of H-O-R model, democratization studies to detailed analysis of within-system domestic political coalitions. The analysis focused on two young democracies at different locations in the 19th Century Atlantic economy, with different factor endowments, and different trade and tariff policies, but experiencing democratic collapse with the contraction of the global economy after 1914. Extensions This paper shifted the analysis to within-system dynamics from cross-sectional research. New complexities challenge the analysis. First, globalization’s withinsystem effects involved subtle and nuanced dynamics requiring detailed data and alternative analytical techniques. These both enriched and belabored the analysis. Subtleties unobservable at the system level came into focus, but required finegrained data with a significant number of observations across time. In addition, within-system analysis displayed geographic concentrations and spatial dependencies requiring alternative estimation strategies. While the analysis incorporated spatial dependency, it did not incorporate change across-time. Both are necessary. Structural Equation Modeling (SEM) with Latent Growth Curve Models (LGCM) is promising. 33 This paper forms part of a lager project which will include four cases in a most different systems research design. The four cases fall at different locations in the 19th Century Atlantic economy: Britain, Italy, Argentina, and the US. 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Milano: Feltrinelli. 44 Globalization and Democracy The Failure of Democracy on the Periphery of the Global Economy, 1870-1946 45 Figure 1.1 Evolution of Globalization and Democracy 46 Figure 2: 1 Ratio of Unskilled Rural to Urban Wages to GDP per capita, 1886-1950 (1886 = 100) 47 Figure 3.1 Italy: Effects of Wheat Trade and Tariff Repeal of 1919 On Wages, Land, Prices, Wheat Imports and Wheat Plantings: 19181922, 1913 = 100 48 49 50 51 52 53 54 55 56 57 58
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