Search results

The effect of market power on allocative efficiency is one of the most important topics in industrial organization and has undergone rigorous investigation since the 1970s. However, empirical studies based on firm-level data are relatively rare, especially with regard to China's tobacco and food industries. Accordingly, this research measures market power and allocative efficiency loss (AEL) of the main tobacco and food industries in China with micro data at firm level. Subsequently, it conducts a comparative analysis on them.

This research applies the New Empirical Industrial Organization (NEIO) model, consisting of five pricing and demand simultaneous equations to measure market power, and the AEL model to measure AEL induced by market power. To match with the micro data at firm level, the study implements a change in the traditional NEIO model by abandoning the aggregating process.

Empirical results show that China's tobacco industry, among five sectors selected, has the largest market power and thus the highest degree of AEL, whereas other sectors have apparently smaller market power and lower levels of AEL. Comparative analysis demonstrates a coarse positive correlation between market power and AEL in the selected industries. In general, the results accord well with the existing empirical findings and the reality.

This study has some deficiencies. First, owing to the limitation of high-quality data, the sectors analyzed in this research are insufficient to sum up all the characteristics and rules of China's whole food industry. Second, this research only analyzes seller market power and leaves out buyer market power, which could be a direction for future research.

The relevant administrations should strictly limit the monopoly behaviors of enterprises and establish a favorable and competitive market environment, especially for the tobacco industry. This suggestion is precisely an important content of China's Supply-side Reform.

The research improves the NEIO model in that it can be estimated with micro data at firm level. To the best knowledge of the authors, very few empirical and comparative analyses exist on market power and AEL for China's tobacco and food manufacturers using micro data.

The purpose of this paper is to measure and examine the relationships between market power, scale economy and productivity for several important food and tobacco industries in China.

The model applied in this paper is based on Hall’s framework (Hall, 1988, 1990) and Klette (1999). The paper relaxes the assumption of constant returns to scale, and estimates market power and rate of returns to scale simultaneously, and then employs a covariance approach to examine the relationship between market power, scale economy and productivity via an unbalanced panel data at firm level.

Empirical results indicate that all the selected seven food industries are characterized with significant market power, especially for China’s cigarette industry whose markup is as almost five times as the smallest one. In addition, China’s soybean and cigarette sectors are manifested to have scale economy, with return to scale being larger than 1, while the other five sectors are proved to have decreasing returns to scale. Empirical results also provide evidence to support significant negative correlations between market power and scale economy in all sectors, and negative correlations between market power and productivity in most of the selected sectors. While more heterogeneous relationship between scale economy and productivity are found across the selected sectors.

This paper contributes to examine the relationship between market power, scale economy and productivity empirically for Chinese food manufacturers using a firm-level unbalanced panel data. Results which coincide well with the reality provide policy implication on understanding the situation of market structure for China’s food and tobacco industry.

The purpose of this paper is to test the overshooting effects of monetary expansion on prices of agricultural products at farm production, processing and circulation stages in China, and to investigate the heterogeneity of the overshooting mechanisms in these three links.

Empirical results are obtained through the vector error correction model and the overshooting framework proposed by Saghaian et al. (2002b). Specifically, we first apply the Dickey–Fuller generalized least squares (DF-GLS) method to test the stationarity of the key variables, and then use the Johansen’s (1991) method to conduct the cointegration test. Finally, the vector error correction model is employed to examine the overshooting hypotheses in the three stages of China’s agricultural sector.

Empirical results indicate that overshooting of prices relative to monetary expansion in China’s agricultural sector is a common phenomenon, but with significant heterogeneity. Firstly, at the stage of agricultural production, the overshooting degree and restoration rate of material price are greater than those of agricultural products price. Secondly, at the processing stage of agricultural products, both the purchase price of agricultural products and industrial producer price have an overshooting effect, but the overshooting effect of the former is more significant than the latter. Thirdly, at the circulation stage of agricultural products, the overshooting coefficient of the wholesale price index of agricultural products is the most significant, while that of the retail and purchase price of agricultural products is not significant.

The paper contributes to proposing a comprehensive framework on testing the overshooting effects for three main stages of agricultural sector in China and empirically investigating the heterogeneity of the overshooting mechanisms in different stages with time series methods.

The purpose of this paper is to estimate oligopsony power in the upstream factor market and oligopoly power in the downstream product market. On this basis, the paper intends to examine the effects of both oligopsony and oligopoly power as well as ownership on technical efficiency which were rarely discussed in previous studies.

First, based on the stochastic frontier production function, the paper constructs a new model that is capable to estimate oligopsony power for each observation. Second, the paper employs the popular dual stochastic frontier cost function to estimate marginal cost as well as oligopoly power. Then, the system GMM method with different sets of instrumental variables is applied to test the effects of the two-sided market power and ownership on technical efficiency.

Using unbalanced panel data at the firm level, the paper demonstrates that oligopsony power is significantly variant across different sectors. The most notable point is that oligopsony power in China’s soya and peanut oil industries is negative, while that in pork and beef industries is much stronger than those in other industries. In addition, state-owned enterprises (SOEs) are found to be less technically efficient in most of the selected industries, while SOEs with higher oligopsony power tend to be more technically efficient than non-state-owned enterprises(NSOEs), which is consistent with the quiet life hypothesis.

This paper sheds light mainly on three aspects. First, it proposes a new model to estimate oligopsony power for each single firm. Second, it tests the effect of oligopsony power on technical efficiency. Third, it distinguishes the differential effect of oligopsony power on technical efficiency between SOEs and NSOEs.

Complaints about lower agricultural farm-gate price and higher consumer price have emerged in China in recent years. The large gap between dairy farm-gate price and consumer price gives rise to worries that China's dairy industry is characterized by strong degree of oligopoly. The purpose of this paper is to take the dairy processing industry as an epitome of China's food industry, and use a new approach to investigate whether it is oligopolistic and/or oligopsonistic.

Based on a new proposed Primal-Dual Solow Residual model, the authors first test the hypothesis that there are significant oligopoly and oligopsony powers in China's dairy sector, and the latter is stronger. The authors then turn to measure these two kinds of market power using regressions of the model.

The estimation results show that firms in the sector have both strong oligopoly and oligopsony power, but the latter is stronger than the former. Meanwhile, with the continuous reinforcement of competition in China's dairy sector, market power in both the upstream and downstream has decreased slightly.

This paper is the first to simultaneously test oligopoly and oligopsony power in China's dairy sector. The empirical results explicitly imply that more attention should be paid to the raw milk purchase market.