Price and Income Elasticities of Palm Kernels Export Supply in Nigeria

Nkang, NM; Abang, SO; Akpan, O. E.; Offem, K. J.

doi:10.1300/j047v19n04_05

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The significant influence of GDP on demand for Malaysian palm oil was also discovered by (Zakaria et al, and Rural Development Research 2019) through the ARDL model in their study of Malaysian palm oil demand in Balkan countries. Thus, it is confirmed that trading partners' income significantly determines their demand for palm oil products (Nkang, Abang, Akpan, & Offem, 2007). It also agreed with the previous findings which disclose that the higher purchasing power will stimulate higher demand for Indonesian agriculture commodity exports to China (Purnomowati, Darwanto, Widodo, & Hartono, 2015;Riyani, Darsono, & Ferichani, 2018).…”

Section: Resultssupporting

confidence: 87%

Selected Factors Influencing China's Palm Oil Import Demand from Malaysia

Ahmad¹,

Wong²,

Kamarulzaman³

2022

J AGRIB RURAL DEV RES

View full text Add to dashboard Cite

The export of palm oil from Malaysia to China has declined since 2013, although the Malaysian Ringgit has depreciated. The Malaysian palm oil market has also struggled against the Indonesian palm oil and soy oil in China. Hence, this study aimed to identify the significant factors influencing China's demand for Malaysian palm oil by adopting the Auto-Regressive Distributed Lag (ARDL) analysis. The finding revealed that the currency rate of exchange, the foreign trade price of Malaysian palm oil to China, and the international soy oil price significantly influence Malaysian palm oil demand in China. Nevertheless, China's real GDP per capita showed a positive and significant influence only in the long run. The demand for Malaysian palm oil in China was not significantly impacted by the palm oil price offered by Indonesia, neither in the long run nor short run. Thus, the authorities related to this industry need to strategize the stock management system to control the price and currency stabilization to maintain its competitive power.

show abstract

Section: Resultssupporting

confidence: 87%

Selected Factors Influencing China's Palm Oil Import Demand from Malaysia

Ahmad¹,

Wong²,

Kamarulzaman³

2022

J AGRIB RURAL DEV RES

View full text Add to dashboard Cite

show abstract

“…If a valid co-integrating relationship is found, then we estimate a vector error correction model; co-integration being a pre-condition for the estimation of an error correction model. For a detailed explanation of conducting unit root and co-integration tests, refer to (Adam, 1992;Tambi, 1999;Niemi, 2003, Nkang et al, 2007.…”

Section: Model Implementation Techniquesmentioning

confidence: 99%

Price transmission and market integration: a test of the central market hypothesis of geographical markets for cassava products in Nigeria

Ezedinma¹,

Nkang²,

Ibana³

2009

Glo Jnl Pure Appl Sci

View full text Add to dashboard Cite

In the wake of the immediate past administration, the Federal Government had demonstrated its concern in making cassava a major industrial raw material and foreign exchange earner. This leads directly to not only measures of expanding cassava production but to improvements in marketing efficiency of the traditional food market of cassava products in the country as well, since inefficiency in the marketing system can lead to unprofitable arbitrage, with attendant welfare losses. With this in mind, this paper investigates price transmission and market integration of cassava products namely chips, chunks, white gari and yellow gari between a central market in Kano and peripheral/rural markets in Taraba, Benue, Nasarawa and Edo States, using standard econometric methods. Precisely, the co-integration methodology was followed. Results show that the markets for all the products were integrated except for chips in Benue, white gari in Nasarawa, yellow gari in Benue, and yellow gari in Edo. Further results indicate that price transmission elasticities range from o.434 to 1.00, indicating full transmission in some cases and not in others, while the speeds of price transmission range from 11.46% to 47.15%, implying that the speed with which cassava product prices are spatially transmitted between the locations is generally low. Improvements in road network and other communication infrastructure will reduce inefficiencies in the traditional cassava product marketing system with attendant gains for producers, middlemen and consumers.

show abstract