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Open Access
Article
Publication date: 14 March 2024

Ivan D. Trofimov

In this paper we examine the validity of the J-curve hypothesis in four Southeast Asian economies (Indonesia, Malaysia, the Philippines and Thailand) over the 1980–2017 period.

Abstract

Purpose

In this paper we examine the validity of the J-curve hypothesis in four Southeast Asian economies (Indonesia, Malaysia, the Philippines and Thailand) over the 1980–2017 period.

Design/methodology/approach

We employ the linear autoregressive distributed lags (ARDL) model that captures the dynamic relationships between the variables and additionally use the nonlinear ARDL model that considers the asymmetric effects of the real exchange rate changes.

Findings

The estimated models were diagnostically sound, and the variables were found to be cointegrated. However, with the exception of Malaysia, the short- and long-run relationships did not attest to the presence of the J-curve effect. The trade flows were affected asymmetrically in Malaysia and the Philippines, suggesting the appropriateness of nonlinear ARDL in these countries.

Originality/value

The previous research tended to examine the effects of the real exchange rate changes on the agricultural trade balance and specifically the J-curve effect (deterioration of the trade balance followed by its improvement) in the developed economies and rarely in the developing ones. In this paper, we address this omission.

Details

Review of Economics and Political Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2356-9980

Keywords

Article
Publication date: 12 March 2024

Dhobale Yash and R. Rajesh

The study aims to identify the possible risk factors for electricity grids operational disruptions and to determine the most critical and influential risk indicators.

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Abstract

Purpose

The study aims to identify the possible risk factors for electricity grids operational disruptions and to determine the most critical and influential risk indicators.

Design/methodology/approach

A multi-criteria decision-making best-worst method (BWM) is employed to quantitatively identify the most critical risk factors. The grey causal modeling (GCM) technique is employed to identify the causal and consequence factors and to effectively quantify them. The data used in this study consisted of two types – quantitative periodical data of critical factors taken from their respective government departments (e.g. Indian Meteorological Department, The Central Water Commission etc.) and the expert responses collected from professionals working in the Indian electric power sector.

Findings

The results of analysis for a case application in the Indian context shows that temperature dominates as the critical risk factor for electrical power grids, followed by humidity and crop production.

Research limitations/implications

The study helps to understand the contribution of factors in electricity grids operational disruptions. Considering the cause consequences from the GCM causal analysis, rainfall, temperature and dam water levels are identified as the causal factors, while the crop production, stock prices, commodity prices are classified as the consequence factors. In practice, these causal factors can be controlled to reduce the overall effects.

Practical implications

From the results of the analysis, managers can use these outputs and compare the risk factors in electrical power grids for prioritization and subsequent considerations. It can assist the managers in efficient allocation of funds and manpower for building safeguards and creating risk management protocols based on the severity of the critical factor.

Originality/value

The research comprehensively analyses the risk factors of electrical power grids in India. Moreover, the study apprehends the cause-consequence pair of factors, which are having the maximum effect. Previous studies have been focused on identification of risk factors and preliminary analysis of their criticality using autoregression. This research paper takes it forward by using decision-making methods and causal analysis of the risk factors with blend of quantitative and expert response based data analysis to focus on the determination of the criticality of the risk factors for the Indian electric power grid.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 22 March 2024

Yumei Zhang, Ming Lei, Xiangmin Lan, Xiangyang Zhang, Shenggen Fan and Ji Gao

As one of its major strategies, China has made a new plan to further expand High Standard Farmland (HSF) to all permanent basic farmland (80% of total farmland) for grain security…

Abstract

Purpose

As one of its major strategies, China has made a new plan to further expand High Standard Farmland (HSF) to all permanent basic farmland (80% of total farmland) for grain security over the next decade. Yet, what will be the impact of farmland infrastructure investment on agrifood systems? The paper aims to systematically evaluate the multiple effects (food security, economy, nutrition and environment) of expanding HSF construction under the context of the “Big Food vision” using an interdisciplinary model.

Design/methodology/approach

An interdisciplinary model – AgriFood Systems Model, which links the China CGE model to diet and carbon emission modules, is applied to assess the multiple effects of HSF construction on agrifood systems, such as food security and economic development, residents’ diet quality and carbon emissions. Several policy scenarios are designed to capture these effects of the past HSF investment based on counterfactual analysis and compare the effects of HSF future investment at the national level under the conditions of different land use policies – restricting to grain crops or allowing diversification (like vegetables, and fruit).

Findings

The investments in HSF offer a promising solution for addressing the challenges of food and nutrition security, economic development and environmental sustainability. Without HSF construction, grain production and self-sufficiency would decline significantly, while the agricultural and agrifood systems’ GDP would decrease. The future investment in the HSF construction will further increase both grain production and GDP, improve dietary quality and reduce carbon emissions. Compared with the policy of limiting HSF to planting grains, diversified planting can provide a more profitable economic return, improve dietary quality and reduce carbon emissions.

Originality/value

This study contributes to better informing the impact of land infrastructure expanding investment on the agrifood systems from multiple dimensions based on an interdisciplinary model. We suggest that the government consider applying diversified planting in the future HSF investment to meet nutritional and health demands, increase household income and reduce carbon emissions.

Details

China Agricultural Economic Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-137X

Keywords

Article
Publication date: 3 August 2023

Tien Dung Nguyen, Hung Gia Hoang and Le Thi Hoa Sen

The paper aimed to examine the determinants of agricultural commercialisation of farmers and measured its commercialisation level in the highland of Vietnam.

Abstract

Purpose

The paper aimed to examine the determinants of agricultural commercialisation of farmers and measured its commercialisation level in the highland of Vietnam.

Design/methodology/approach

A sample size of 360 was randomly chosen from a total population of 5,771 farmers, and a structured questionnaire was developed to collect data. Descriptive and inferential statistics, including linear regression analysis, were used to analyse the data.

Findings

The descriptive statistics showed that the average commercialisation level of farmers was 56.3%. The regression model result indicated that number of off-farm income sources, farmer's risk perception, farming practices, number of agricultural activities, motorbikes value, ethnicity, distance from the city centre, number of customers, non-traded inputs value, participation in training programmes, family size, farm size, mobile phones value, traded inputs value, land tenure, distance from the local market and education of household head significantly affected agricultural commercialisation of farmers.

Originality/value

Any development strategies that assist farmers in adopting commercial farming in the highland of developing countries should consider these determinants.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2022-0161

Details

International Journal of Social Economics, vol. 51 no. 3
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 26 March 2024

Neeru Bhooshan, Amarjeet Singh, Akriti Sharma and K.V. Prabhu

The role of Technology Transfer Units, examined in this study, was found to be vital to expedite the process of disseminating new varieties and their production technology.

Abstract

Purpose

The role of Technology Transfer Units, examined in this study, was found to be vital to expedite the process of disseminating new varieties and their production technology.

Design/methodology/approach

A total of 1,000 households were surveyed in the sampled states. A probit model was used to analyse.

Findings

Age, education, land holding, tractor use and number of working family members in agriculture were found to significantly affecting adoption of the new seed varieties. Technology transfer through licensing has impacted the adoption of new seed varieties positively by highlighting Punjab possessing the highest adoption and western Uttar Pradesh was majorly adopting the old variety.

Research limitations/implications

The authors believed in farmers’ memory to recall the varietal information of wheat.

Practical implications

The study recommended various incentives to attract the seed industry in UP to minimize the economic loss potentially suffered by them.

Social implications

Quality seeds are germane to increase the productivity of crops, and it is paramount to disburse the seed varieties to the end users in an efficient way to achieve the overall objective of productivity enhancement.

Originality/value

In this context, a study was conducted in three states of India, namely, Punjab, Haryana and Uttar Pradesh (UP) to find out the adoption rate of newly developed varieties of wheat, HD 3086 after three years (2014–2015) of its commercialization by IARI as well as HD 2967, which was released in 2011.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 5 July 2022

Sheu-Usman Oladipo Akanbi, Ridwan Mukaila and Abdourasaque Adebisi

After a long observation of the high rate of rice importation and low productivity in Côte d’Ivoire, the certified rice seed was introduced and encouraged to be used by the local…

Abstract

Purpose

After a long observation of the high rate of rice importation and low productivity in Côte d’Ivoire, the certified rice seed was introduced and encouraged to be used by the local farmers. This study evaluates the profitability of rice production and the impact of certified seed usage on the yield and income of farmers in Côte d’Ivoire.

Design/methodology/approach

Data were collected from 265 rice farmers. Descriptive statistics were used to identify the challenges faced in using certified seeds. Profitability analysis was used to examine the profitability of rice production. To eliminate bias due to the counterfactuals, the endogenous switching regression was employed to investigate the impact of the certified seeds on income and yield.

Findings

The difficulties faced by the rice farmers in the procurement of certified seeds were the unavailability of seeds, the high cost of seeds and poor credit access. Furthermore, rice farmers using certified seeds get a higher net income (USD 263.74/ha) than those using farmers' seeds (USD 212.31/ha). The average treatment on the treated was 1.61 for the yield and 574.75 for the income. The average treatment on the untreated was 1.20 for the yield and 422.59 for the income. These indicate a higher yield and income among adopters of certified rice seed.

Research limitations/implications

Certified rice seed usage is profitable and enhances the output and income of rice farmers. The study advocates the creation of a stronger relationship between the farmers and the extension agents to encourage the use of certified seeds and increase the profit of the farmers.

Originality/value

There is scant information on the profitability of certified rice seed usage and how it affect yield and income. Therefore, this study serves as empirical evidence for policymakers to develop strategies that are required to enhance certified seed usage, boost rice productivity and achieve food security.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 14 no. 2
Type: Research Article
ISSN: 2044-0839

Keywords

Expert briefing
Publication date: 20 March 2024

Fertiliser use will grow, driven by population growth in developing economies. Emissions from fertiliser use will also grow, as decarbonisation options are high-cost and difficult…

Details

DOI: 10.1108/OXAN-DB285960

ISSN: 2633-304X

Keywords

Geographic
Topical
Article
Publication date: 1 July 2022

Raka Saxena, Anjani Kumar, Ritambhara Singh, Ranjit Kumar Paul, M.S. Raman, Rohit Kumar, Mohd Arshad Khan and Priyanka Agarwal

The present study provides evidence on export advantages of horticultural commodities based on competitiveness, trade balance and seasonality dimensions.

Abstract

Purpose

The present study provides evidence on export advantages of horticultural commodities based on competitiveness, trade balance and seasonality dimensions.

Design/methodology/approach

The study delineated horticultural commodities in terms of comparative advantage, examined temporal shifts in export advantages (mapping) and estimated seasonality. Product mapping was carried out using the Revealed Symmetric Comparative Advantage (RSCA) and Trade Balance Index (TBI). Seasonal advantages were examined through a graphical approach along with the objective tests, namely, modified QS-test (QS), Friedman-test (FT) and using a seasonal dummy.

Findings

Cucumbers/gherkins, onions, preserved vegetables, fresh grapes, shelled cashew nuts, guavas, mangoes, and spices emerged as the most favorable horticultural products. India has a strong seasonal advantage in dried onions, cucumber/gherkins, shelled cashew nut, dried capsicum, coriander, cumin, and turmeric. The untapped potential in horticulture can be addressed by handling the trade barriers effectively, particularly the sanitary and phytosanitary issues, affecting the exports. Proper policies must be enacted to facilitate the investment in advanced agricultural technologies and logistics to ensure the desired quality and cost effectiveness.

Research limitations/implications

Commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential.

Originality/value

There is no holistic and recent study illustrating the horticulture export advantages covering a large number of commodities in the Indian context. The study would be helpful to the stakeholders for drawing useful policy implications.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 14 no. 2
Type: Research Article
ISSN: 2044-0839

Keywords

Open Access
Article
Publication date: 5 December 2023

Franklin Nantui Mabe, Seiba Issifu and Camillus Abawiera Wongnaa

In Ghana, legal and illegal artisanal small-scale mining (ASM) activities have attracted the attention of the general populace and academia with varied opinions. This study…

Abstract

Purpose

In Ghana, legal and illegal artisanal small-scale mining (ASM) activities have attracted the attention of the general populace and academia with varied opinions. This study examined how adopting the coping strategies for ASM operations affected the welfare of farm households.

Design/methodology/approach

Primary data were solicited from respondents using a semi-structured questionnaire. This paper used the endogenous treatment effect model to quantitatively estimate whether or not farmers who adopt coping strategies for activities of ASM have improved or deteriorated welfare.

Findings

The results revealed that households adopted coping strategies such as diversification, social networking, land reclamation, borrowing, dependence on the market for food and resettlement in other communities. The endogenous treatment effect model results show that households that adopted land reclamation and social networking had improved welfare regarding consumption expenditure and food security compared to non-adopters. Conversely, diversification was associated with lower consumption expenditures and high food insecurity among adopters.

Practical implications

This paper recommends that farm households in mining communities form cooperatives and farmer-based organizations to ensure improved access to joint resources for enhanced capacity to cope with ASM-induced shocks. There is a need for government and civil society organizations to encourage and support land reclamation measures.

Originality/value

This paper covers a broader perspective and deploys more than one welfare proxy, which has not been considered before in previous studies.

Details

Journal of Economics and Development, vol. 26 no. 1
Type: Research Article
ISSN: 1859-0020

Keywords

Article
Publication date: 12 February 2024

María del Mar Benavides-Espinosa, Domingo Ribeiro-Soriano and Clara Gieure

The aim of this paper is to analyse the moderating effect of digital transformation (DT) on the relationship between innovation capacity and the performance of agrifood businesses.

Abstract

Purpose

The aim of this paper is to analyse the moderating effect of digital transformation (DT) on the relationship between innovation capacity and the performance of agrifood businesses.

Design/methodology/approach

Based on a structured questionnaire, data on 98 agrifood small and medium-sized enterprises operating in Spain were collected. The data were analysed using partial least squares structural equation modelling to test the proposed model and study the moderating effect of DT on the relationship between the innovation capacity and performance of agrifood businesses.

Findings

The study finds support for the hypotheses and shows the existence of a direct positive relationship between the DT and performance of agrifood businesses. Developing new practices focussed on customer service and performing actions such as improving sales, promoting a new product or service and including a post-sales service influence the capacity of a business to undertake DT.

Research limitations/implications

Future studies should include other factors in the analysis. For example, the impact of knowledge transfer and research and development (R&D) on agrifood businesses' performance should be studied. Education and training, as well as having a diverse network, can help develop and boost businesses' capacity to use and apply the required innovation. Networks play an important role in learning how to apply DT.

Originality/value

This quantitative study is the first to examine the moderating effect of DT in the Spanish agrifood sector on the relationship between innovation capacity and performance. The study examines the role of the DT of companies and explores the competitiveness and efficiency tools that digitalisation offers. Innovation capacity is crucial for the application of these tools.

Details

British Food Journal, vol. 126 no. 4
Type: Research Article
ISSN: 0007-070X

Keywords

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