Does Agricultural Export Promote Nepalese Economic Growth? ARDL Approach Using Structural Break

Ghimire, Amogh; Fu, Weiwei; Zhuang, Peifen

doi:10.1051/e3sconf/202127501024

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Pesaran has greatly popularized the autoregressive distributed lag (ARDL) method, which has many benefits compared to earlier cointegration techniques like EG (Engle and Granger, 1987) and JJ's maximum likelihood-based tests (Ghimire et al, 2021). It is easy to determine whether a long-term relationship is close by using the ARDL approach without taking into account the series that is stationary at levels [I (0)] or first difference [I (1)], or a combination of both (Chandio et al, 2018).…”

Section: Autoregressive Distributed Lag Modelmentioning

confidence: 99%

Determinants of Rice Production in Nepal

Joshi,

Techato,

Phoungthong

et al. 2023

SJA

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Rice as a major cereal crop is getting the attention of policymakers all over the world. Amidst the different changing climatic conditions across the globe, researchers are focusing on the study of determinants of rice production from a different perspective. This study also has made an effort to investigate the determinants of rice production in Nepal taking annual mean temperature, cultivation area, fertilizer used, and precipitation rate as the independent variable by the use of the Auto Regressive Distributed Lag (ARDL) Model. The data analysis from 1990 to 2019 showed that annual mean annual temperature and fertilizers have a long-term, favorable and significant impact on rice production. Whereas cultivation area has a short-term significant impact. Precipitation and cultivation area did not have a long-term effect on rice production. The study recommends prioritizing the expansion of rice cultivation area and area-specific practices for adapting to climate change for increasing rice production in the scenario of an almost stable cultivation area in the last two decades.

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Section: Autoregressive Distributed Lag Modelmentioning

confidence: 99%

Determinants of Rice Production in Nepal

Joshi,

Techato,

Phoungthong

et al. 2023

SJA

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Is agriculture an engine of economic reconstruction and development in the case of the Republic of Burundi?

Aboyitungiye

Prasetyani

2021

IOP Conf. Ser.: Earth Environ. Sci.

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Despite its importance for the economy, the agricultural sector faces many constraints that hamper its growth. With the increase in the world population and the demand for food production, farmers need to produce more with less arable land. This study used the ARDL approach to model the long-term and short-term dynamics and proposed examining the agricultural sector’s contribution to Burundi’s economic growth. Econometric estimations revealed that the gross domestic product per capita, agricultural, and exports (value-added) have long-run relationships but at different levels. The study, therefore, revealed that inflation persists in the short and long term. The consumer price of agricultural products reduces the country’s economic growth. Major adjustments in agricultural, environmental, and macroeconomic policy at national levels will have to be made to create the conditions for sustainable agricultural development.

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Does Agricultural Export Promote Nepalese Economic Growth? ARDL Approach Using Structural Break

Cited by 2 publications

References 18 publications

Determinants of Rice Production in Nepal

Determinants of Rice Production in Nepal

Is agriculture an engine of economic reconstruction and development in the case of the Republic of Burundi?

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