GOVERNMENTAL COERCIVENESS AND POLITICAL INSTABILITY An Exploratory Study of Cross-National Patterns GREGORY B. MARKUS BETTY A. NESVOLD California State University, San Diego 0 nly within the past few years has there been any attempt made by social scientists to analyze the nature of political conflict on a national level through the use of quantitative cross-national data. Using a number of theories to guide their research, investigators have formulated hypotheses and put them t o empirical tests.' The explanatory power of some of the hypotheses studied in this way is encouraging, and a refinement of the techniques that have already been employed may soon lead to the point where accurate forecasts of the political stability-or instability-of political regimes are possible. The effect that such a development could have on both social scientists and governmental decision makers is self-evident. Foreign policy decisions are often predicated upon assumptions regarding political stability. A policy may be advocated, for example, because a set of forces is seen as implying the eventual stabilization of an existing order.. . .Especially in the case of the emerging nations, specific policies-such as whether to lend capital in support of particular programs or to grant military aid-are weighed in terms of their probable effect upon the political stability of the recipient government [Feierabend et al., 1963: I ] . The use of aggregate data in a broad, cross-national framework has a number of limitations. The detail and depth of analysis which can be Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 [ 2321 COMPARATIVE POLITICAL STUDIES / JULY 1972 achieved with the case study method is largely lost. The advantage of a broader method, however, lies in its scope and its ability to “reveal patterns that may go unnoticed, or that may be obscured, in the unique circumstances of a specific case” [Feierabend et a!., 1969: 606). The focus of the present exploratory study is the association between the level of government coercion and subsequent levels of instability. We will attempt to see whether fluctuations in the intensity of governmental coercion can be associated with fluctuations in the level of instability within nations. - THEORETICAL BACKGROUND A recent development in empirical cross-national research has been the use of psychological theories to explain the behavior of nations. The logic behind such an approach is that a nation can be viewed as being, among other things, an aggregate of individuals. If many individuals within a nation experience “certain psychological tensions, then we may anticipate that they will engage in behavior which will be observable and measurable for the aggregated group” (Feierabend et al., 1967: 1-2). Although the frustration-aggression theory has undergone some basic revisions since its original formulation, it remains a valuable framework for the systematic study of aggressive behavior. A basic postulate of this theory maintains that “aggression is always the consequence of frustration’’ (Dollard et al., 1939: 1). Aggression is defied as any act “the goal response of which is the injury of the person toward whom it is directed” (Dollard et al., 1939: 9), and frustration is “an interference with the occurrence of an instigated goal-response at its proper time in the behavior sequence”(Dollard et al., 1939: 7). In the original work, Dollard et al. (1939: 1) hypothesized that “the occurrence of aggressive behavior presupposes the existence of frustration and, contrariwise, the existence of frustration always leads to some form of aggression.” This sweeping generalization was soon modified, however, when it became clear that the statement was being widely misunderstood. Miller (1941: 338) rephrased the second half of the hypothesis thusly: “Frustration produces instigations to a number of different types of response one of which is an instigation to some form of aggression.” It is clear, then, that the authors did not mean to imply that frustration will uhvuys lead to direct, overt aggressive behavior; frustration under certain conditions may lead to constructive solutions, withdrawal on the part of Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 hfarkus, Nesvold / GOVERNhlENTAL COERCIVENESS [ 2333 the individual, displacement, scapegoating, and the like. Rather, the hypothesis states that when aggressive behavior does occur, it is the result of frustration. Plmisfznzetzt.The concept of punishment, or retaliation, is important to the frustration-aggression theory and is central to this study. Dollard et al. (1939: 40) hypothesized that “the strength of inhibition of any act of aggression varies positively with the amount of punishment anticipated to be a consequence of that act.” Buss (1961: 58) elaborated upon this idea by noting that the immediate effect of punishment may be to incite an aggressive response. Punishment will elicit aggression only if it is sufficiently intense. If the punishment is too weak, it will not breach the threshold of the attacking response. On the other hand, if the punishment is too strong, it will elicit anxiety and flight rather than anger and aggression. Punishment must be in the middle range of intensity in order to maintain an aggression-punishment-aggression sequence, the relationship between intensity of punishment for preceding aggressive response and the occurrence of a subsequent aggressive response being curvilinear. Fmsz’rationizggressiotz theory and aggregate befzavior. The attempts to use psychological theories t o explain group behavior have been criticized by a number of writers (International Sociological Association, 1957). They argue that the activities of most functioning groups are not determined by the motivations of each member in equal proportion to others in his group. A group cannot simply be regarded as the additive sum of its individual members; power is not distributed equally among the members. What the group does in many situations is often a function of its leaders and not of the rank and file. Granting dl this, “individualistic considerations in the field of group relations” are important (Berkowitz, 1962: 167): Dealings *between groups ultimately become problems for the psychology of the individual. Individuals decide to go to war; battles are fought by individuals; and peace is established by individuals. It is the individual who adopts the beliefs prevailing in his society, even though the extent to which these opinions are shared by many people is a factor governing his readiness to adopt them, and he then transmits these views to other individuals. . .Theoretical principles can be formulated referring to the group as a unit and these c m be very helpful in understanding hostility between groups. But such . Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 [ 23.11 COMPARATIVE POLITICAL STUDIES /JULY 1972 abstractions refer to collections of people and are made possible by interindividud uniformities in behavior. Dollard et (1939: 86) similarly recognized the applicability of the frustration-aggression Ilypothesis to the study of political turmoil: “Within any given state internal Ilostility to the symbols of authority is a common feature of social life. It is manifested alike by labor leaders and capitalists well as by g o u p s which hope for revolutionary change.” Consistent with this line of thought, the Feierabends have introduced the concept of systemic frustration. They define systemic frustration in reference to three criteria: (1) as frustration interfering with the attainment and maintenance of social goals, aspirations, and values; (2) as frustration simultaneously experienced by members of social aggregates and, hence, complex social systems; and (3) as frustration or strain that is produced within the structures and processes of social systems.’ Guided by this definition, it is possible to restate the frustrationaggression hypothesis with reference to social systems: Political instability within nations is instigated by systemic frustration. Political instability is defined as aggression directed by civilian individuals or groups within the political system against other groups or against the complex of officeholders and individuals and groups associated with them (compare Feierabend and Feierabend, 19663: 250). One source of systemic frustration is the gap between the aspirations and expectations of groups within a nation and the actual achievements of these groups thus far (Feierabend et al., 1969). For example, if the citizens of a nation expect to have jobs so that they might purchase goods they desire, and if, for various reasons, there is mass unemployment, this situation will be frustrating to many individuals. Similarly, if a group aspires to equal treatment under the laws yet is systematically discriminated against (by the government, by other groups, or both), then this group will incur an instigation to aggression. The greater the discrepancy between the aspirations and expectations of a group and their actual achievements, the greater the subsequent systemic frustration. Cantril (1965: 17) commented upon frustrations in encounters with “real world” situations: An individual’s assumptions about the nature and property of objects may turn out to be misleading; his experience may show him that people do not react the way he had thought they would; he may discover that the events he thought would follow as sequences to other events do not proceed as he had expected; the action he Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 hlarkus, Nesvold / GOVERNMENTAL COERCIVENESS [ 2351 . takes to reach a particular goal. . may turn out to be inadequate or inappropriate; or the goal he thought was going to bring satisfaction may, when achieved, turn out to be an empty one. Whenever this lack of correspondence occurs, the result is some hitch, some obstacle that frustrates him in the achievements of his purpose. Frustrationaggression theory has also been employed by Kornhauser (1959) in his discussion of extremist voting, by Huntington (1968) in his work on developing nations, and by Lerner (1958), who based much of his theory of modernization on the concept of deprivation felt by the masses. Similar recognition of the frustration-aggression theory of political instability can be found in the works of Apter (1965), Deutsch (1961), Russett (1964), Davies (1962), and Midlarsky and Tanter (1967). A second source of frustration-one with which we are most concerned in this paper-can be determined with reference to the frustration-aggression theory. Governmental coerciveness can be viewed as being analogous to the concept of punishment employed in psychological theories (Walters, 1966). The relationship between coerciveness and political instability has been the subject of a number of investigations. Gurr tested the hypothesis that “the likelihood and magnitude of civil violence tend to vary curvilinearly with the amount of retribution anticipated as a consequence of participation in it” (Gurr with Ruttenberg, 1967: 11). He obtained results that were generally consistent with the hypothesis (see also Gurr, 1968). LeVine (1959) made an early test of the curvilinear relationship between coerciveness and aggression. Among African colonial systems, he found that consistently repressive and consistently permissive colonial systems experienced less an ti-European violence than did mid-level colonial systems. This hypothesis was also examined as part of the continuing study of political turmoil being conducted by Feierabend, Feierabend, and Nesvold. Eighty-four nations were ranked according to the permissiveness or coerciveness of their regimes. A country was rated according to such criteria as: (1) the degree t o which civil rights are present and protected; (2) the extent to which political opposition is tolerated and effective; (3) the democratic level of the polity (Feierabend and Feierabend, 1971; Walton, 1965). When this was done, a curvilinear relationship was found to exist between a nation’s ranking and the degree of political instability experienced. A subsequent investigation employing similar ratings of coerciveness substantiated this result (Feierabend et al., 1970: Bwy, 1971). A second way in wluch governmental coercion can be operationalized is Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 [ 2361 COMPARATIVE POLITICAL STUDIES /JULY 1972 to study manifestations of coercion-actual coercive events. Coercive events are defined as those punitive acts initiated by government agencies and officeholders and directed toward individuals and groups within the larger society. Examples of coercive events are arrests, fines, martial law, and executions. Few analyses of the relationship between acts of instability and acts of coerciveness have been conducted thus far. One previous investigation found a strong linear, rather than curvilinear, relationship between political instability and governmental coercion (hlarkus, 1970: 28-30). This result may have been due to the cross-sectional method of analysis employed. Unless the relationship between instability and coerciveness is studied diachronically, the true picture is likely to be obscured. Time-lag studies may yield new information about the complex covariation of the civilian and governmental components of political unrest. Using the frustration-aggression theory and its political applications as guides, one might construct a developmental theory of political unrest which considers not only the frustrations perceived by civilians, but the blocked goal-responses of the government as well. (1) Due to a discrepancy between goals and actual achievements, individuals engage in some form of instability behavior-perhaps violence. (2) Such behavior, inasmuch as it is an affront to the governmental goal of maintaining tranquility (and thereby remaining unchallenged as the legitimate political power), can be considered frustrating to the government. The intensity of the governmental response will covary with the strength of the frustration. (3) The success of the governmental measures in stemming future instability will, of course, depend to some extent upon the intensity of the coercion. Assuming that the cause of the original frustration has not been altered, the intensity of further instability will vary curvilinearly with the intensity of the coerciveness applied. I t goes without saying that this relatively simple theory cannot explain all instability behavior. Nevertheless, we believe that two hypotheses derived from the theory warrant a test. Specifically, these hypotheses are: There is a linear relationship between the level of instability in a given time period and the level of coerciveness in the same time period. The higher (lower) the level of instability, the higher (lower) the level of coerciveness in the same time period. There is a curvilinear relationship between the level of coercive events in a given time period and the level of instability at some later period in time. hlid-level coerciveness is likely to be associated with Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 hfarkus, Nesvold / GOVERNMENTAL COERCIVENESS [ 2373 high-level instability at some subsequent period in time; low- and high-level coerciveness are likely to be associated with lower levels of instability at some subsequent period in time. METHODS This study employs data collected as part of the continuing research on political turmoil being conducted by Ivo K. Feierabend, Rosalind L. Feierabend, and Betty A. Nesvold at San Diego State C ~ l l e g e .The ~ data on instability and coercive events were compiled from daily issues of the New York Times. Although the completed data bank will contain information on virtually every nation for the years 1955-1964, at present only a limited amount of information is available for analysis. In this investigation, ten countries were examined for the three-year period 1959-1961. These countries were: Argentina, Haiti, Italy, Japan, Laos, Mexico, Poland, South Korea, Spain, and the Union [Republic] of South Africa. These nations were selected to avoid any particular geographical bias and because of the relatively large amount of information available on them. In the data collection, every reported coercive and instability event was coded, and each event was scaled in terms of an intensity weighting which assigns values on a seven-point scale ranging from point zero (lack of instability or coerciveness) to point six (extreme instability or coerciveness). In assigning scale values to events, the criteria taken into account were: the amount of violence accompanying the event, its duration, the political significance of the persons involved in the event, and an estimate of the political repercussions of the event upon the society as a whole. Typical scale positions for selected instability events are: peaceful demonstration, 0; dismissal of a cabinet official, 1 ; demonstration with some injuries, 2; riot with accompanying injuries and property destruction, 3; large-scale sabotage, 4; revolt with violence and deaths, 5; full-scale clash involving planes, artillery, and so on, 6. Examples of values assigned to coercive events are: arrest of few, insignificant persons, 1; curfew, 2; imprisonment of few, significant persons for a long time, 3; total censorship of all media, 4 ; mass executions, 5; military punitive action involving mass deaths, 6. The seven-point intensity scale possesses both construct and consensual validity. T o test the construct validity of the scale, data collected on 82 countries for the years 19481961 were subjected to a Guttman scaling exercise-a statistical technique for ordering data. Violent instability Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 [ 2381 COMPARATIVE POLITICAL STUDIES / JULY 1972 events were grouped into four classes denoting increasing amounts of violence. Using the Guttman technique, it was found that the violent events of nations are truly scalable, the coefficient of reproducibility ranging from .94 to .97 according to the length of the time segments into which the data were divided (Nesvold, 1969: 172-180). Consensual validation was determined by another process. A list of events was given to graduate students at the Inter-university Consortium for Political Research in 1966. The students were asked to place the events on a scale ranging from zero to 100. The summed scores for the 82 nations thus devised by the graduate students were then intercorrelated with the summed scores for these nations as determined by using the Guttman technique and a separate intuitive scale. The scores based on the students’ scale were found to correlate highly with the scores based on the Guttman scale and the intuitive scale? Thus the consensual validity of the present scale was established. There are a number of methods that can be employed to determine the coercive and instability ratings of a nation for a given period o f time. One method is simply to sum the scores of the instability and coercive events occurring in the time period under study and then rank the countries according to the magnitude of these summations. In using this method, however, there may be some tendency for the scores of certain nations to be artificially inflated by the “overreporting” of small events that would normally go unreported in other countries. To compensate for this possibility; in this study the individual event scores were first squared before summing. The results of such a method is to give relatively more weight to the more intense events. After appropriate cutting-points were determined, each country received a coerciveness and instability rating for each month in the three-year period under study. Therefore, to analyze the relationship between government coerciveness and subsequent instability, the level of coerciveness for each month is compared with the level of instability x number of months later. Various time lags can be tested to determine the optimum lag. This method is not as refined as it might be. Summing scores occurring within the course of each month, for example, does not permit the investigator to know exactly when any particular event occurred. Therefore, any time lags employed are only approximations of the actual distance in time between events. For example, events occurring on January 31 and February 1 are considered as being one month apart, as are events occurring on January 1 and February 28. However, we were looking for Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 Markus, Nesvold / GOVERNMENTAL COERCIVENESS [ 2391 broad patterning in this exploratory analysis. For this purpose, the method seemed adequate. FINDINGS Table 1 lends support to the first hypothesis. This table illustrates the association between the levels of coerciveness for each of the 36 months under study in each of the ten countries and their corresponding levels of instability; hence, the total equals 360, or 36 x 10. It indicates, for example, that in the ten nations there was a total of 157 months in which the levels of both instability and coerciveness were low. The linear relationship between the two variables is apparent. A second method of analysis lends additional support. Figure 1 plots the mean coercive event score of the months at each of the three levels of coerciveness against the corresponding mean instability event score for the months. Again, the linear relationship is demonstrated. T o examine the second hypothesis, computer analysis was employed to determine the optimum time lag for our data. That time lag was found to be a period of one month. Therefore, to test the hypothesis in each country, the coerciveness level of each month is compared with the instability level of the month immediately following it. The result is shown in Table 2. The table shows, for example, that of the 208 months rated low on the level of coercive acts, 136 were followed by a month rated low in instability. Although the curvilinear relationship can be readily determined by observation, there is a more precise way to evaluate the strength of the TABLE 1 Relationship Between Monthly Leyels of Coerciveness and Instability for Ten Countries, 1959-1961 Coerciveness Level ~ ~~ ~~ Low Medium Instability Level % Low Medium High 73 23 4 ( 50) Total 100 Gamma = .62; Z = 7.64; p n (157) % n ( 24) (123) 100 ( 50) ( 49) 9) (216) 100 <.01. % 10 33 57 40 40 20 ( High Total n ( 2) % n (12) 58 29 13 (209) (106) ( 45) (21) 100 (360) ( 7) Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 [ 2401 COMPARATIVE POLITICAL STUDIES /JULY 1972 Mean Instability Score 40 30 20 X 10 0 0 20 10 40 30 50 Mean Coerciveness Score Figure 1: Mean Coerciveness Score versus Mean Instability Score for Months a t the Three Levels of Coerciveness association. The gamma, a measure of linear association, computed for Table 2 indicates only a moderate tendency toward linearity (gamma = -31). However, if the table is transformed by interchanging the last two columns, the computed gamma is relatively high (.65), thus indicating that the relationship between the two variables is a curvilinear one. Months which were rated at the mid-level of cocrciveness were most likely to be followed by months in which there was high instability. TABLE 2 Relationship Between the Level of Coerciveness for Each Month and the Level of Instability for the Following Month, Ten Countries, 1959-1961 Coarcivenes Level Hi& Medium Low Instability Level % Low Medium High 65 30 5 (136) ( 62) ( 10) 46 34 20 Total 100 (208) 100 n Total n % 56) 41) 24) 62 29 10 (13) (121) 100 (21) % ( ( ( n ( 6) ( 2) % 59 31 10 100 Gamma = .31; Gamma (Low-High-Medium) = 55;2 = 3.79;p <.Ol. Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 n (205) (109) ( 36) (350) Marlrus, NesvoM / GOVERNMENTAL COERCIVENESS [ 2411 Mean instability Score 50- 40302010 - 0- I 10 20 30 40 50 Mean Cwrciveness Score Fiwm 2: M g n C m Scolh vanus Mean Imt&ility Scan f a Month at the Thres L d s of Coacirmsrr (Time Lag of OM MonUt) Figure 2 also supports the hypothesis. i n this f i r e , the mean coercive event scores of the months at the three levels of coerciveness are plotted along the horizontal axis. The mean instability scores of the corresponding months (one-month time lag) are plotted along the vertical axis. The curvilinear relationship is apparent. CONCLUSIONS We have presented the initial findings of our investigation of political conflict within nations. i t is clear that much additional research is necessary before the precise nature of the diachronic relationship between instability and coercion is understood. Yet this brief research has yielded two insights which merit further exploration. Tests of the first hypothesis, coupled with the results of previous research, indicate that there is a linear association between the level of instability events in a given time period and the intensity of coercive events in that same period. A test of the second hypothesis suggests a curvilinear relationship between the level of coerciveness in one month and the intensity of instability in the subsequent month. This is consistent with the work of Gum, the Feierabends, and Bwy. Downloaded from cps.sagepub.com at PENNSYLVANIA STATE UNIV on September 18, 2016 I2421 COMPARATIVE POLITICAL STUDIES /JULY 1972 Mid-level coercion (such as executions, censorship, and mass arrests) which acts as an additional agent of frustration, leads t o a later response of intense instability (large riots, terrorism, sabotage, and the like). Lowlevel coercion evokes little response in the form of acts of instability, and high-level coercion is likely to be a sufficient inhibitor of subsequent acts of instability. - NOTES 1. Some selected studies employing quantitative cross-national data t o analyze mlitical turmoil are listed in the references. 2. Feierabend et al. (1969: 608-609); the use of this concept closely follows Surr’s (1968) employment of relative deprivation. 3. A few of the works that have stemmed from their study are Feierabend and Feierabend (1966a), Nesvold (1969). Hoole (1964), Duty (1969), and Roth (1970). 4. Nesvold (1969: 173-175). The correlation between the summed scores for countries obtained by using the students’ scale and those obtained by using the Guttman scale was .940. The correlation between the summed scores based on the students’ s a l e and the summed scores based on the intuitive scale was .986. REFERENCES AFTER, D. E. (1965) The Politics of hIodemization. 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