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The main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.

The findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.

The findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.

Despite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.

The paper underpins an advanced domestic manufacturing that comes with some advanced employment specialization status of individual industries as the key determinant of foreign direct investment (FDI) and considers how FDI in the food processing industry in India relates to this focal point.

This paper investigates how inward FDI inflows relate to domestic investment and revival in the industry using Auto Regressive Distributed lags (ARDL) model over the period 2000–2017. The model allows for different specifications to study whether FDI is responsible for the revival or the prior revival induces the FDI.

The results show the lack of proper advanced specialized employment status of the food processing industry. FDI in food processing is mainly guided by exports and imports opportunities and FDI plays no role in the revival of advanced growth in the industry. This finding explains why FDI in the industry is predominantly service sector oriented.

The paper underlines (1) the proper conceptualization of human capital as an important determinant of FDI; (2) reinterpretation of Kaldor's technical progress function that uncovers how employment dynamics embedded in intermediate goods specializations play a key role in supporting a higher pace of investment (and FDI); (3) labor costs' importance should involve not only the wage rate but also the advantages that a specialized employment base and (4) FDI in manufacturing demands a greater policy focus on developing domestic bases of intermediate goods specializations.

A better understanding of the determinants of demand through accurate estimates of the elasticity of import demand can help policymakers and exporters improve their market access and competitiveness. This study analyzed the EU's demand for imported potato from major suppliers between 1994 and 2018, with the aim to evaluate the competitiveness of Egyptian potato.

This study adopted an import-differentiated framework to investigate demand relationships among the major potato suppliers to the EU's. To evaluate the competitiveness of Egyptian potato on the EU market, expenditure and price demand elasticities for various suppliers were calculated and compared.

The empirical results indicated that as income allocation of fresh potatoes increases, the investigated EU markets import more potatoes from other suppliers compared to imports from Egypt. The results show that EU importers may switch to potato imports from other suppliers as the import price of Egyptian potatoes increases, which enter the EU markets before domestically produced potatoes are harvested.

Due to data unavailability, the present study relied on yearly data on quantities and prices of EU potato imports. A higher frequency of observations should allow for considering seasonal effects, and thereby providing a more transparent picture of market dynamics and demand behavior of EU countries with respect to potato import from various sources of origin.

The study used a system-wide and source differentiated approach to analyze import demand. In particular, the empirical approach allowed for comparing different demand models (AIDS, Rotterdam, NBR and CBS) to filter out the superior and most suitable model for that data because the suitability and performance of a demand model depends rather on data than on universal criteria.

This study aims to assess the nexus among oil price (OP), renewable energy consumption (REC) and trade balance (TB) for India using annual time series data for the time period 1985–2019. In particular, the authors examine whether REC improves India's TB in the context of high oil import dependence.

The study uses autoregressive distributed lags (ARDL) bound testing approach that has the advantage of yielding estimates of long-run and short-run parameters simultaneously. Moreover, the small sample properties of this approach are superior to other multivariate cointegration techniques. Fully modified ordinary least square (FMOLS) and dynamic ordinary least squares (DOLS) are also applied to test the robustness of the results. The causality among the series is investigated through block exogeneity test based on vector error correction model.

The findings based on ARDL bounds testing approach indicate that OPs exert a negative impact on TB of India in both long run and short run, whereas REC has a favorable impact on the TB. In particular, 1% increase in OPs decreases TBs by 0.003% and a 1% increase in REC improves TB by 0.011%. The results of FMOLS and DOLS corroborate the findings from ARDL estimates. The results of block exogeneity test suggest unidirectional causation from OPs to TB; OPs to REC and REC to TB.

The study underscore the importance of renewable energy as a potential tool to curtail trade deficits in the context of Indian economy. Our results suggest that the policymakers must pay attention to the hindrances in augmentation of renewable energy usage and try to capitalize on the resulting gains for the TB.

Climate change is a major challenge for developing countries like India. Renewable energy sector is considered an important instrument toward attaining the twin objectives of environmental sustainability and employment generation. This study underscores another role of REC as a tool to achieve a sustainable trade position, which may help India save her valuable forex reserves for broader objectives of economic development.

To the best of the authors’ knowledge, this is the first study that probes the dynamic nexus among OPs, REC and TB in Indian context. From a policy standpoint, the study underscores the importance of renewable energy as a potential tool to curtail trade deficits in context of India. From a theoretical perspective, the study extends the literature on the determinants of TB by identifying the role of REC in shaping TB.

This paper explores whether data back the claim that imports of armaments are inherently bad for economic growth. Regardless of one's point of view, the production and trade of weaponry is a significant industry with serious economic implications that warrant investigation. The financial repercussions of military spending have been extensively studied, but the economic effects of arms importation remain unknown.

This study adopts a pooled mean group approach to investigate the nexus between arms imports, military expenditure and per capita GDP for a balanced panel of twenty-five of the top arms importers in the world from 2000 to 2021.

The authors find that arms imports and military spending negatively impact GDP per capita in the short run, but military spending is beneficial over the long run. The authors also used the Dumitrescu Hurlin Granger causality test, which revealed a unidirectional causation between per capita GDP and military expenditure, and a unidirectional causal relationship from military spending to arms imports.

This paper is deficient in a few aspects: first, it looks at only those countries comprising the top 70% of arms imports. Second, it omits many political, technological and legal factors that impact arms imports and military expenditures.

This paper looks into the impact of defense spending and arms imports on economic growth for twenty-five nations with the highest share of arms imports in recent times. It is a significant addition to the literature as it resolves the debate of whether or not the military expenditure is wasteful and whether arms imports significantly harm the nation's economic growth.

Natural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China within 2002 and 2018. This exploration estimates the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations.

This investigation uses Probit, Logit, Cloglog and Ordinary Least Squares (OLS) models.

The results confirm the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations in China. According to the findings, natural disasters in trading partners heighten the risk to the agricultural imports. This risk raises, if disasters damage overall agricultural yield or transportation infrastructure. Moreover, governments’ effective response or diplomatic ties with China mitigate the risk. Finally, the effect of disasters varies by the developmental status of the country involved, with events in developed nations posing a greater risk to China’s imports than those in developing nations.

China should devise an early warning system to protect its agricultural imports by using advanced technologies such as data analytics, remote sensing and artificial intelligence. In addition, it can leverage this system by improving its collaboration with trading partners, involvement in international forums and agreement for mutual support in crisis.

The coronavirus disease (COVID-19) pandemic has been negatively affecting international trade between countries; however, there is a lack of empirical studies on developing countries such as Vietnam. This article aims to investigate how the COVID-19 cases and related deaths and policy response by Vietnam and trading partners to the pandemic affect Vietnam's export activities.

The authors use the monthly trade data from the General Department of Vietnam Customs and employ the Poisson pseudo-maximum-likelihood (PPML) estimator to empirically investigate the effects of COVID-19 and policy response to the pandemic on Vietnam's exports at aggregate and sectoral levels over a 33-month period.

In the first year of the pandemic (January–December 2020) as well as the whole study period (January 2019–September 2021), trading partners' COVID-19 burden adversely affected Vietnam's aggregate exports, and the effect of COVID-19 deaths is significantly larger than that of COVID-19 cases. In the first year of the pandemic, estimates show a negative effect of Vietnam's COVID-19 cases on its exports, while no evidence reveals the impact of Vietnam's COVID-19 deaths. However, during the entire study period, there are remarkable adverse effects of Vietnam's COVID-19 deaths on its exports. The effect of the COVID-19 burden in Vietnam and in its trading partners differs significantly across major subsectors. In the first year, there is a positive role of government response to the pandemic by Vietnam and its trading partners in Vietnam's aggregate exports, while in the whole study period, only a positive effect of Vietnam's government response is found. Economic support and free trade agreements (FTAs) have a positive effect on Vietnam's exports. In the first year of the pandemic, Vietnam's export losses due to COVID-19 outweighed its export gains from the pandemic. However, Vietnam's exports have significantly improved over the nine months of 2021.

Efforts should aim to reduce the number of COVID-19 deaths rather than focus on reducing the number of COVID-19 cases. The application of stringency measures by both exporters and importers should be minimized, or at least those measures need to be combined with health methods, such as testing policy and contact tracing, short-term investment in healthcare and especially investments in vaccines. In addition, economic support, particularly debt relief, needs to be widely applied to assist firms, especially those involved in international trade. The expansion of FTA networks and diversifying export destinations may be helpful in maintaining production networks and export activities.

In the long-term period, the application of stringency measures by both exporters and importers should be minimized, or at least those measures need to be combined with health methods such as testing policy and contact tracing, short-term investment in healthcare and especially investments in vaccines. In addition, economic assistance, particularly debt relief, needs to be widely applied to assist firms, especially those involved in international trade activities.

To the best of the authors’ knowledge, the paper is among the first studies empirically investigating the impacts of COVID-19 and policy response to the pandemic on aggregate and sectoral exports from Vietnam. The paper also measures the absolute value of export gain and export loss due to the pandemic between Vietnam and trading countries.

This study investigated consumers' satisfaction with local rice attributes and willingness to pay (WTP) for improvement by internal migrants and natives in urban Ghana.

Primary data was sourced from 304 urban consumers and ordered probit regression was employed.

Urban consumers had higher satisfaction with imported rice attributes than local rice. Consumers were unsatisfied with aroma, availability/accessibility, cleanliness, packaging, grain appearance, measurement standard, and taste of local rice. Moreover, 90% were willing to pay higher prices for local rice with improved attributes and WTP was higher among natives than migrants. Averagely, urban consumers are willing to pay 51% increase in market price of local rice if attributes were improved. Natives, males, educated, high-income, local rice consumption, shopping from supermarkets, trust in certification bodies, and dissatisfaction with local rice attributes boost WTP for improved local rice attributes.

There is a great market potential for local rice with improved attributes. Thus, there should be an improvement in local rice attributes and sold at moderate price and in supermarkets.

We compared consumers' satisfaction and WTP for improved local rice attributes among internal migrants and natives in urban Ghana.

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market characteristics such as domestic demand and general export environment related to tradability across borders affect firms' export intensity.

The authors use a sample of 29,266 firms from nine European countries, for the period of 2010–2016, and test several estimation methods (random effects models, Tobit models, and Heckman's selection models).

Results show that external factors such as domestic demand and ease of trade across borders are important determinants of firms' export intensity. Moreover, results reveal that firm's internal characteristics such as age, size and productivity also play an import role.

Studies about the influence of the firms' external environment on firms' export intensity are scarce because most of them are confined to a single country context. In this way, the present study contributes to the body of knowledge on the influence that external factors can have on firms' export performance by analyzing firms from nine European countries, which has important policy implications.

The purpose of this paper is to investigate the short and long run causal relationship between stock market development and economic growth in sub-Saharan Africa within the period 1990 and 2020.

Using panel data from 1990–2020 obtained from the World Bank development indicators, the study makes use of the autoregressive distributed lag model and the Granger causality and cointegration to analyze the long and short run causal relationship between stock market development and economic growth in sub-Saharan Africa.

The findings unveiled that stock market capitalization had a positive and significant effect on economic growth in the long run and a negative insignificant effect in the short run within the period of 1990–2020 while stock market liquidity measured through total value of shares traded and turnover ratio had a negative and significant effect on economic growth in sub-Saharan Africa within the period of 1990–2020. The Granger causality test showed an inconclusive result between stock market development and economic growth; implying that the authors cannot say if it is stock market development that causes economic growth or it is economic growth that causes stock market development within the period of 1990–2020.

The findings suggest that governments of sub-Saharan African countries should encourage stock market development by implementing favorable rules for companies listing on their stock market, promote stock market integration with world markets to diversify risk, increase public awareness on stock markets, increase investors' confidence level and finally, remove stock market impediments like high taxes, legal and regulatory barriers to its development.

This study contributes to the existing literature by offering a whole new perspective on stock market development and economic growth since its conception in sub-Saharan Africa. Again, contrary to other papers, the study show how stock market development can contribute to the growth of sub-Saharan Africans’ economy.