Time‐series estimation of import demand functions for pulses in India

Abstract

Purpose

This study seeks to examine empirically import demand for total pulses, chickpeas and lentils in India based on the concept of unit root and cointegration.

Design/methodology/approach

The Stock‐Watson dynamic OLS (DOLS) model – which is robust to small sample and eliminates simultaneity bias – is used to derive the long‐run price, income and urbanisation elasticities of import demand. The data covers the period 1970‐2000.

Findings

Results indicate that real GDP, relative price and urbanisation are the key determinants of import demand for pulses in India. The estimated long‐run elasticities of import demand with respect to income (relative price) are 0.4 (−1.7) for chickpeas, 0.56 (−0.87) for lentils and 0.36 (0.00) for total pulses. The estimated long‐run elasticities of import demand with respect to urbanisation are 9.9 for chickpeas, zero for lentils and 7.2 for total pulses. The policy implications of the results are discussed.

Originality/value

Provides evidence that the response of import demand for pulses to key determinants differ substantially from product to product.

Citation

Agbola, F.W. and Damoense, M.Y. (2005), "Time‐series estimation of import demand functions for pulses in India", Journal of Economic Studies, Vol. 32 No. 2, pp. 146-157. https://doi.org/10.1108/01443580510600922