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This paper aims to examine the impact of competition on firm performance using a data set of 352 firms listed on Vietnam’s stock exchanges from 2015 to 2019.

The two-step system generalized method of moments is used to estimate this impact.

The findings reveal an inverted U-shaped relationship between competition and firm performance. Competition improves firm performance if its intensity is moderate. However, if the competition intensity exceeds the optimal level, the performance deteriorates accordingly.

The authors only studied Vietnamese firms due to the limited ability in data collection. It would be better to validate the findings using data from other transition economies.

The non-linear relationship between competition and performance implies that government should pay more attention to retaining competition at an appropriate level.

Firms contribute a lot to the prosperity of Vietnam. Therefore, the findings have a meaningful implication for Vietnam’s government to moderate competition to improve its firms’ performance.

This paper contributes to the extant literature by providing firsthand evidence of the impact of competition on firm performance in Vietnam – a transition economy.

The purpose of this paper is to investigate the determinants of the amount of trade credit granted to shrimp farmers in Ca Mau.

Based on the literature review, the authors proposed six hypotheses on the determinants of the amount of trade credit granted to shrimp farmers. Data collected from 120 shrimp farmers in Ca Mau were used to test the proposed hypotheses.

Two out of six determinants, i.e. the size of input order (a pulling factor) and the competition among input suppliers (a pushing factor), are significantly positively associated with the amount of trade credit granted to shrimp farmers. No impact of the other determinants was found. The findings imply that shrimp farmers should join cooperatives to enhance access to trade credit and mitigate the risk for input suppliers.

This paper sheds light on the fact that trade credit is still granted to such risky buyers as shrimp farmers, which has not been explored by previous studies.

This paper investigates the impact of education on output of rice farming households in Vietnam.

Given the literature review, this paper specifies three empirical models (i.e. linear constant coefficient model, partially nonlinear model and linear varied coefficient model) with variables that well describe the mechanism through which education affects output. The data were collected from 901 rice farming households randomly selected out of ten provinces and city in the Mekong River Delta (MRD) of Vietnam. The models are estimated using ordinary least squares (OLS) and Robinson's (1988) double residual estimators.

Estimates of the empirical models show that seed, fertilizer, labor and farm size have significant impacts on output of rice farming households while pesticide and herbicide do not. Education is also found to have a positive effect on output of rice farming households because it helps them better manage farms of larger size via combining various inputs in a more desirable way.

This paper confirms the positive impact of education on agricultural output, which implies that policies aiming to provide better education to rural people will greatly enhance their income as well as trigger long-term economic and agricultural growth.

The purpose of this paper is to estimate the impact of credit rationing on the amount of capital allocated to inputs used by rice farmers in the Mekong River Delta (MRD).

Based on the literature review, the authors propose nine hypotheses on the determinants of access of rice farmers to credit and four hypotheses on the impact of credit rationing on the amount of capital allocated to inputs used by rice farmers in the MRD. Data were collected from 1,168 farmer households randomly selected out of 10 provinces (city) in the MRD.

Step 1 of propensity score matching (PSM) with probit regression shows that land value, income, education, gender of household head and geographical distance to the nearest credit institution affect the degree of credit rationing facing rice farmers. Step 2 of PSM estimator identifies that the amount of capital allocated to inputs such as fertilizer and hired labour increases when credit rationing decreases while that allocated to seed and pesticide is not influenced by credit rationing because rice farmers use these inputs adamantly regardless of effectiveness.

This paper sheds light on the impact of credit rationing on the amount of capital allocated to inputs used by rice farmers, which is largely different from the main focus of the extant literature just on the determinants of credit rationing facing farmers in general and rice farmers in particular.