This research studies the short-term effects of the Russian Excellence Initiative Project 5-100 on participating universities. To trace the effect, we develop a quasi-experimental methodology. A control group of universities comparable to the Project 5-100 universities at the starting point of the program's implementation was singled out using propensity score matching. Data envelopment analysis was conducted, and the Malmquist productivity index was calculated to trace how and why the efficiency of the "participants" and "nonparticipants" of the Project 5-100 has changed. We find statistically significant positive effects of the policy both on the productivity and on the efficiency of the participating universities.
This paper studies the relationship between university institutional autonomy (both formal and informal) and their performance and efficiency using multi-stage empirical methodology. First, we measure an "autonomy-in-use" index, and then we employ Data Envelopment Analysis in order to evaluate institutional efficiency. Lastly, we use a panel fixed effect regression and an instrumental variable approach to provide robust evidence for the relationship between institutional autonomy, performance and efficiency. We find that formal status of autonomy does not predict higher publication activity or efficiency. However, the findings also reveal that informal autonomy is positively associated with efficiency scores, and advanced practices in staff management can contribute to increases in publication activity and overall institutional efficiency.
In most countries which experience structural transformation of their higher education system, a crucial goal of policy makers is to tie the amount of university public funding to their performance. This research analyzes the Russian performance-based funding (PBF) reform to provide a quasi-experimental assessment of its effects on Russian universities' performance. Data comes from the Monitoring for HEIs performance and covers the period between 2014/2015 and 2017/2018. To evaluate the causal effect of the PBF policy on university performance, in a first step we define the treatment and the control groups by distinguishing universities on the basis of the trend in their performance-based allocations. In a second step, we estimated the causal effect of the redistribution of public funds across universities as a result of PBF policy. Results indicate that the performance of universities is actually affected by getting extra funding after the reform, although heterogeneity is at play. The short-run effect is related with the impact on average national exam scores, indicating that the policy forced universities to be more selective.JEL Classification: I22, I23, I28
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