Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam

Although some studies have assessed the market power of advanced degrees in Vietnam’s agricultural sector, this research only focuses on analyzing the level of market concentration through CR4 or HHI indexes. The stochastic cost frontier can estimate market power using the Lerner ratio when input price data are not available and with or without constant returns to scale. Thus, the stochastic cost frontier with a maximum likelihood approach of Kumbhakar et al. (2012) is used to assess the market power of traders in the coffee value chain in Lam Dong province, Vietnam. The estimated market power and Lerner rate results are 0.0001. This index shows that the local coffee market is a market with perfect competition. So the traders do not have market power. Thus, there is no collusion between coffee traders to lower the purchase price for farmers or increase the price for processors and exporters. An RTS ratio of 0.96 (less than one) shows that the return to scale for traders is decreasing. This number proves that the degree of competition in the local coffee market among traders is very high.

Does regulation induce cost efficiency in electricity distribution utilities? Use of stochastic cost frontier analysis for the Indian states

To overcome the macroeconomic crisis of the early 1990s, the Government of India persuaded the state governments to adopt market-oriented reforms for loss-making state public sector undertakings in general and power sector utilities in particular with an aim to limit the overall size of the public sector. This led the state governments to undertake unbundling of their vertically integrated State Electricity Boards (SEBs), establish independent regulatory bodies in the form of State Electricity Regulatory Commissions (SERCs) to regulate the power sector, and allow for an active participation of private sector. Given this backdrop, the present study attempts to examine the effect of establishment of SERCs on the cost-efficiency of electricity distribution in the Indian states. Thereby, it evaluates whether the establishment of SERCs has induced efficiency gains in the electricity distribution. Estimating a Cobb-Douglas stochastic cost frontier function, it finds that the establishment of independent regulators in various states has resulted in significant improvements in the cost-efficiency in the electricity distribution.

Aligning Quality Incentives and Tariff Adjustments: The Case of the Brazilian Electricity Distribution Sector

This study investigates the role of aligning tariff adjustments and quality incentives in a Price cap regulatory regime. According to theory costs and quality are positively related. If additional resources are needed to improve service quality, a high cost high quality utility could be at a disadvantage when tariffs are adjusted by an X-factor that does not include quality. The regulator of the electricity distribution sector of Brazil has set up a public ranking of utilities according to quality compliance at the same time that a quality component is added to the X-factor, in 2013. We develop a stochastic cost frontier integrating all components of the X-factor to rank the utilities based on this integrated efficiency. Comparing this rank with the regulator’s public rank we argue that the resulting differences highlight the importance of using the same factors to rank and adjust tariffs in the sector. Otherwise, incentives would be misplaced with respect to factors used in cost adjustments. In addition, our findings reveal that the utilities’ cost behavior with respect to quality depends on the volume of energy delivered. We believe these results could be considered by the regulator when setting incentives and considering factors to adjust tariffs.