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Administrative reforms in Argentina have followed an irregular trajectory as a result of the penetration of patronage in the state apparatus. Extensive politicization has impeded the development of a univocal and stable civil service at the national level.

In this context, the goal of this chapter is to analyze the characteristics of the federal civil service in its interaction with actors and institutions of the political system during the 2004–2014 period. The study reveals two main findings: (1) a diversity of bureaucratic formats coexist in the country, both formally and informally; and (2) the relationships between the administration and the political system vary according to the predominant bureaucratic format.

Departing from a so-called “modern civil service” as an ideal type, this chapter evaluates the status of public personnel management in Latin America. Such an ideal model is considered a mix between the organizational principles of the traditional civil service and those of the new public management perspective. First, the chapter presents the different phases that public management practices have undergone in some developed countries. Secondly, following several studies and data provided by the IADB, the level of development of several civil service systems in Latin America is analyzed and several of their construction–destruction–reconstruction patterns are presented. Lastly, the cases that most approach a modern civil service are discussed and some recommendations offered to reformers in this region.

Automakers are engaged in manufacturing both efficient and inefficient green cars. The purpose of this paper is to categorize efficient green cars and inefficient green cars followed by improving efficiencies of identified inefficient green cars for distribution fitting.

The authors have used 2014 edition of secondary data published by the Automotive Research Centre of the Automobile Club of Southern California. The paper provides the methodology of applying data envelopment analysis (DEA) consisting of 50 decision-making units (DMUs) of green cars with six input indices (emission, braking, ride quality, acceleration, turning circle, and luggage capacity) and two output indices (miles per gallon and torque) integrated with Monte Carlo simulation for drawing significant statistical inferences graphically.

The findings of this study showed that there are 27 efficient and 23 inefficient DMUs along with improvement matrix. Additionally, the study highlighted the best distribution fitting of improved efficient green cars for respective indices.

This study suffers from limitations associated with 2014 edition of secondary data used in this research.

This study may be useful for motorists with efficient listing of green cars, whereas automakers can be benefitted with distribution fitting of improved efficient green cars using Monte Carlo simulation for calibration.

The paper uses DEA to empirically examine classification of green cars and applies Monte Carlo simulation for distribution fitting to improved efficient green cars to decide appropriate range of their attributes for calibration.