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Article

Peruvian Agro-Exports’ Competitiveness: An Assessment of the Export Development of Its Main Products

by
Jose Carlos Montes Ninaquispe
*,
Alberto Luis Pantaleón Santa María
,
Diego Alejandro Ludeña Jugo
,
William Teófilo Castro Muñoz
,
Juan Cesar Farias Rodriguez
,
Billy Heinrich Maco Elera
and
Kelly Cristina Vasquez Huatay
Programa de Administración y Administración de Negocios Internacionales Filial Norte, Universidad de San Martín de Porres, Chiclayo 14001, Peru
*
Author to whom correspondence should be addressed.
Economies 2024, 12(6), 156; https://doi.org/10.3390/economies12060156
Submission received: 22 May 2024 / Revised: 14 June 2024 / Accepted: 17 June 2024 / Published: 20 June 2024
(This article belongs to the Special Issue Economic Development in the Digital Economy Era)
Review Reports Versions Notes

Abstract

:
This study analyzed the competitiveness of Peru’s exports of grapes, blueberries, avocados, and asparagus from 2019 to 2023. Data were obtained from the customs declarations of all exporting companies of the analyzed products, along with data from the International Trade Center. Competitiveness was measured using the absolute revealed comparative advantage (RCA) index. The results indicate notable growth in the exports of grapes and blueberries, while asparagus and avocados face challenges in market and exporter diversification. The RCA index suggests a strong and stable specialization in these products. This study concludes with specific recommendations for institutions such as Ministerio de Desarrollo Agrario y Riego (MIDAGRI), Comisión de Promoción del Perú para la Exportación y el Turismo (PROMPERÚ), Asociación de Exportadores (ADEX), and Instituto Nacional de Innovación Agraria (INIA), aimed at enhancing competitiveness through market diversification.

1. Introduction

The Peruvian agro-export sector has demonstrated notable growth and dynamism, especially in recent years, driven by its strategic geographical advantages, favorable climatic conditions, and dedicated efforts towards modernization and quality enhancement. This study holds significance for the Peruvian agro-export sector by providing an analysis of its four main products, serving as an indispensable tool for understanding Peru’s strategic position in international business. Furthermore, the research goes beyond the mere assessment of competitiveness, venturing into the exploration of export growth over time. This approach offers a more detailed understanding as it examines the quantitative growth of exports, including market diversity expansion and the analysis of participating companies. Ultimately, it represents a significant contribution to the academic literature in the fields of international trade and agricultural economics. Its value extends beyond understanding the dynamics of the agro-export sector, as it provides a valuable resource for academics and students to grasp the complex dynamics of agro-exports in emerging economies like Peru’s. The competitiveness of agro-exports is a topic of utmost importance in the global economy (De Melo and De Carvalho 2024). Internationally, these challenges can be categorized into several fundamental aspects that affect agriculture and its product exports (Femeena et al. 2012). Climate change and environmental issues are among the most significant challenges (Bortz and Toftum 2023). Alterations in climatic patterns, including changes in rainfall and temperature regimes, have a direct impact on agricultural productivity (Liu et al. 2022). The need to adopt sustainable agricultural practices and responsible use of natural resources has become increasingly important and crucial (Laosutsan et al. 2019). Soil degradation, water scarcity, and biodiversity loss are environmental issues that not only threaten the long-term viability of the agro-export sector but also raise serious questions about the sustainability of current practices (Wang 2018). Furthermore, globalization has created a highly competitive market, requiring agricultural producers to be cost-efficient and quickly adapt to changing market demands (Morales-Marín et al. 2018). The international prices of agricultural products significantly impact the economic stability of exporting countries, underscoring the need for adaptive strategies. On the other hand, trade barriers, both tariff and non-tariff, present a considerable obstacle to the sector (Fiankor and Santeramo 2023). Additionally, protectionist policies of some countries, along with stringent sanitary and phytosanitary regulations, can limit access to key markets (Thorbecke et al. 2021). The dependence on bilateral or multi-lateral trade agreements can also affect the stability of exports (Ando et al. 2022). Moreover, technological innovation plays a crucial role in improving productivity and efficiency. However, the adoption of advanced technologies is often hindered by a lack of investment, infrastructure, and limited access to training and technical assistance (Esquivias et al. 2023).
The technological gap between developed and developing countries is a critical factor, as are logistical and supply chain processes (Peano et al. 2017). Efficiency in transportation and logistics is vital to ensure the quality and freshness of agricultural products, especially perishables (Orjuela-Castro et al. 2021). High transportation costs and inadequate infrastructure can significantly increase operational costs and affect the competitiveness of exports (Rai et al. 2022). Access to financing is another essential aspect, especially for small and medium agricultural producers, who often face difficulties in accessing credit and financing to invest in technological improvements or expand their production (Meng et al. 2023). In the social and labor sphere, working conditions and labor rights in the agricultural sector are of great concern. Issues such as labor exploitation, child labor, and inadequate working conditions not only affect the quality of life of workers but can also negatively impact the perception of products in international markets (Phan 2022). Many developing countries rely heavily on a limited number of primary products for their exports, making them vulnerable to market fluctuations and changes in global demand (Hu et al. 2023). This dependence underscores the need for strategies to diversify both production and export markets (Hossain et al. 2023). Lastly, global consumption patterns are changing, with an increasing focus on organic, ethical, and sustainable products (K. Sharma et al. 2023). Adapting to these emerging trends is a considerable challenge for producers who lack the means or knowledge to modify their productive practices according to these new market demands (Sihombing et al. 2021).
Examining the development of the main agro-export products in five specific countries, particular challenges faced by each in this sector are revealed. In Brazil, despite its prominence in soybean and sugar cane production, the critical challenge of diversifying its agricultural production arises (De Paula Junior 2020). This diversification is essential to reduce dependence on a few crops in the face of market fluctuations (Copetti et al. 2013). Additionally, environmental sustainability has become a significant concern, especially due to deforestation in the Amazon, raising serious doubts about the long-term viability of its agricultural practices (Escobar et al. 2020). Another significant obstacle in Brazil is poor logistical infrastructure, which increases operational costs and decreases the competitiveness of its agricultural exports (Figueira and de Oliveira 2023). In the United States, trade wars, particularly the conflict with China, have negatively impacted farmers, especially soy producers. The debate over agricultural subsidies and their influence on global competition continues to be a relevant discussion point (Dilawari et al. 2022). Despite being a leader in technological innovation, the challenge for the United States lies in maintaining constant adaptation to new technologies and sustainable practices to preserve its competitive edge (Ojede 2015). India faces significant challenges related to productivity and efficiency in its agricultural sector, exacerbated by dependence (Mruthyunjaya 2023). Socio-economic issues, such as rural poverty, farmer indebtedness, and small farm sizes, limit its ability to compete in international markets (Singh and Jyoti 2023). In Kenya, the economy relies heavily on a limited number of agricultural products for export, such as tea and flowers, making it vulnerable to market fluctuations (Wainaina et al. 2018).
Climatic challenges and extreme weather events disproportionately affect the country, negatively impacting agricultural production (Wanyonyi et al. 2023). Additionally, restricted access to international markets and inadequate financing represent barriers to sector growth. Australia, on the other hand, faces critical issues related to climate change and water resource management, especially in crop production like wheat (Ressia et al. 2022). Recent trade tensions with China have jeopardized important export markets for its agricultural products. Moreover, adapting to strict sanitary and phytosanitary regulations in export markets is a constant challenge for Australia (He et al. 2018). These countries illustrate the diversity of challenges faced by the agro-export sector globally. Each country exhibits a unique set of challenges, reflecting the complexity and dynamic nature of competitiveness in the field of agricultural exports. In Peru, the competitiveness of agro-exports faces a variety of complex challenges ranging from productive diversification to infrastructure and access to technology.
Despite having experienced significant growth in products like blueberries, grapes, avocados, and asparagus, the Peruvian economy still needs to expand its export portfolio to avoid excessive dependence on a few products (Pantaleón Santa María et al. 2022). This dependence could lead to economic vulnerability to demand shifts and price variations, underscoring the importance of exploring new markets and diversifying exportable products (Roja and Sánchez 2023). In terms of infrastructure and logistics, Peru has seen improvements, yet still faces challenges (Nonalaya et al. 2021). High internal transportation costs and inefficiency in ports are factors that increase export costs and decrease the competitiveness of Peruvian products in the international market (Bossio Valdivia et al. 2017). These logistical aspects are crucial to ensure that products reach international markets in optimal conditions and cost-effectively (Ramos et al. 2019). Access to technology and capital is another challenge for many agricultural producers in Peru. Limited resources restrict producers’ ability to improve productivity and product quality and to adapt to the changing demands of global markets (Juarez Malaver 2022). Climate change and the need for environmental sustainability present additional challenges. The effects of climate change are impacting weather patterns and consequently agricultural production. Moreover, the growing international pressure to adopt sustainable agricultural practices requires significant investments and changes in cultivation practices (Coayla and Jiménez 2022).
This is crucial not only for the long-term viability of the agricultural sector but also to meet international expectations on sustainability (Mills-Novoa 2020). Complying with the strict sanitary and phytosanitary standards of international markets is another challenge (Leyva Morales 2023). Maintaining high-quality standards is essential for accessing and remaining in demanding markets, implying a continuous need for investment in quality and compliance with regulations (Parco Espinoza and Mallqui Cunurana 2022). Training and technical education are essential to improve competitiveness. The lack of these opportunities among farmers can limit their ability to adopt better agricultural practices and advanced technologies (Larrea-Gallegos et al. 2019), directly impacting the quality and competitiveness of their products (Carbonell Santillán 2023). Finally, Peru’s international trade relations with key countries and economic blocs (Manrique Talledo and Muñoz Peláez 2021) have a significant influence on its ability to export. Successful trade negotiations and the opening of new markets are crucial for the expansion of agro-exports (Urcia Armas and Vivanco Caceres 2022).
The goal is to provide actionable recommendations for policymakers, industry leaders, and exporters to enhance Peru’s competitiveness and ensure sustainable growth, contributing valuable insights to international trade and agricultural economics.
From a theoretical perspective, by exploring and analyzing theories related to the competitiveness and trade of agricultural products, this study enriches the academic understanding of these topics and offers new perspectives that can be applied in other contexts and studies. From a practical perspective, by focusing on the evaluation of the development of the main products, this study provides valuable information for producers and exporters, helping them to better understand market dynamics and optimize their strategies and operations. Socially, by encouraging improved competitiveness, higher income and employment can be generated in the agricultural sector, which in turn can contribute to poverty reduction and social development in rural areas.
Nations benefit from specializing in the production of goods where they have a comparative advantage, that is, where they are relatively more efficient than other countries (Krugman and Obstfeld 2006). In the context of agro-exports, this theory suggests that a country should specialize in the production and export of agricultural products in which it has a comparative advantage, such as in certain crops that benefit from its climate, soil, or agricultural expertise.
Competitiveness: Competitiveness refers to the ability of producers, industries, and the country to produce and export products efficiently and profitably in the international market, with aspects such as productivity, product quality, production and supply chain efficiency, market adaptability, and long-term sustainability (Esterhuizen and van Rooyen 2006). Internal factors include agricultural technology, producers’ skills and knowledge, production process efficiency, the quality of inputs and natural resources (Muhamediyev 2023), and supporting infrastructure (like irrigation systems, storage, and logistics). External factors encompass global demand and consumer preferences, international market conditions (R. Zhou et al. 2023), trade policies and tariffs, and global competition. Additionally, sustainability factors related to sustainable production practices (Sharma et al. 2023), natural resource management, and adaptation to climate change are increasingly important to maintain competitiveness in the environmentally conscious global market (Saptana et al. 2023).
The Balassa model of revealed comparative advantage represents a fundamental analytical tool in the study of competitiveness in international trade applied to many studies (Das et al. 2024; Luhwago et al. 2023; De Melo and De Carvalho 2024; Nong et al. 2023; Raman et al. 2023; Saptana et al. 2023; A. Sharma et al. 2023; Shukla et al. 2023; Topcu 2023). Developed by Béla Balassa in 1965, this indicator measures a country’s comparative advantage in a specific product, based on actual trade performance rather than theoretical resource endowments (Balassa 1965). Balassa’s formula calculates the ratio of a product in a country’s total exports relative to the ratio of that same product in total global exports. A value greater than one indicates a revealed comparative advantage, suggesting that the country is relatively more efficient in producing and exporting that product compared to other countries. The application of the revealed comparative advantage indicator in international trade analysis helps identify the products in which a country has real competitive advantages (Hidayat et al. 2023). Focusing on actual trade data, the Balassa model provides a more accurate and practical assessment of comparative advantage, which can significantly differ from predictions based solely on classic economic theory (Tarihoran et al. 2023).
Historically, Peru has undergone a significant transformation in its agricultural sector, evolving from an economy traditionally centered on domestic consumption to a more export-oriented focus. This shift has been driven by a combination of factors, including favorable government policies, investments in infrastructure, and improvements in agricultural practices.
Peru’s main agro-export products have shown outstanding performance in the international market. Products like blueberries, coffee, grapes, asparagus, ginger, and avocado have not only gained significant presence in international markets but also demonstrate sustainability over time, leveraging their unique climatic conditions, biodiversity, weather, and the ability of their farmers and companies to adapt to international market demands (Arbulú Ballesteros et al. 2024; Montes Ninaquispe et al. 2024, 2023b).
Globally, the demand for agricultural products has significantly influenced the boom in Peruvian agro-exports (Montes Ninaquispe et al. 2023a). The growing preference in international markets for fresh and high-quality products has opened significant opportunities. Integrating sustainable practices in agriculture is crucial to ensure the sector’s ongoing viability, addressing issues like efficient resource management, soil and water conservation, and carbon footprint reduction (Salmoral et al. 2020). This move towards sustainability not only meets ecological and social responsibilities but also aligns with global market trends, where consumers and trade partners increasingly demand products that adhere to environmental and ethical standards (Z. Zhou et al. 2024). In this regard, sustainable agricultural practices become a differentiating factor that can enhance the competitiveness of agro-exports by improving product quality, fostering innovation, and meeting international standards for sustainable production (Lan and Kien 2021). Finally, the primary objective of this study is proposed: To describe the competitiveness of Peru’s agricultural exports by evaluating the export development of its main products. To achieve this, Peru’s position among the world’s largest exporters will be analyzed, followed by an analysis of the export reality indicators of the products, and finally, the calculation of the RCA competitiveness index.

2. Material and Methods

The research was conducted under a quantitative approach, aimed at collecting and analyzing numerical data to establish patterns and trends in the behavior of Peruvian agro-exports as in previous studies on international trade (Pantaleón Santa María et al. 2021). From this perspective, this study was approached with a descriptive scope, aimed at characterizing and detailing the fundamental properties of the involved variables, without establishing cause-and-effect relationships between them as in Monja Paico’s (2023) study. The methodological design adopted was non-experimental, as it was based on the observation and analysis of variables without direct manipulation or control by the researcher (Corona Lisboa 2016). This approach was consistent with the nature of the research, which did not seek to alter the natural conditions of the phenomena studied, but rather to describe them as they appeared in their real context.
In terms of its typology, the research was classified as basic. This orientation implied an approach focused on increasing theoretical knowledge regarding the export competitiveness of the selected products, without an applied focus or aimed at solving specific practical problems (Herbas Torrico and Gonzales 2018). However, the findings could lay the groundwork for future applied studies. Regarding the study population, the most exported sub-items of Peru according to SUNAT Customs records (SUNAT 2023), the official customs body of the country, were selected. The products identified for analysis were grapes, blueberries, avocados, and asparagus, corresponding to the harmonized system subheadings 080610, 081040, 080440, and 070920, respectively (Ministerio de Economía y Finanzas del Perú 2022). The study period covered five years, from 2019 to 2023, determined by the availability of data from the official source until October 2023. The source for evaluating the standardized revealed comparative advantage of these products was the International Trade Center, based on UN COMTRADE statistics and accessible through the TRADEMAP commercial tool (International Trade Center 2024), complementing information related to Peru with the web platform of Peru’s customs (Sunat Customs). The sample for the study was equivalent to the population, which implied an exhaustive analysis of each of the mentioned products.
Regarding the application of the Balassa indicator, the methodological design involves a detailed analysis of the country’s agricultural exports compared to global trade. There are some limitations with the Balassa indicator as it does not consider internal production capacity or governmental policies that may influence exportation. The formula is expressed as follows:
I B = X k i X i X k X
where X k i represents the total value of exports of a specific product k from country i, while X i expresses the total exports made by country “i”. On the other hand expresses the total exports carried out by country “i”. On the other hand, X k indicates the total value of exports of product k from all over the world, while X represents the total exports made in the world. Based on the RCA, another much more accurate indicator was created, as evidenced when applied in some studies (Elsalih et al. 2021; Erkan and Bozduman 2022; Andrés González-Moralejo et al. 2021; Hasan et al. 2024; Saki et al. 2019; Seleka and Dlamini 2020). The formula is as follows:
I B = R C A k i − 1 R C A k i + 1
Understanding the results:
  • [−1,0) -> The country “i” does not have a revealed comparative advantage in product “k”;
  • (0,1] -> The country “i” has a revealed comparative advantage in product “k”.

3. Results

Table 1 presents the global grape exports in millions of USD by the major exporters from 2019 to 2023. During this period, Peru stands out as the country with the highest growth in its exports, increasing by 114.9% from USD 811.8 million in 2019 to USD 1745.5 million in 2023, with a high standard deviation of USD 353.6 million, indicating significant fluctuations. The most significant year for Chile was 2021, with an increase of 109.5% reaching USD 1732.7 million, but it also exhibited a high standard deviation of USD 386.0 million, reflecting variability. China experienced its highest export volume in 2020, with a 22.8% increase compared to 2019, showing moderate variability with a standard deviation of USD 202.0 million. In terms of the least variation, the United States of America shows a relatively stable trend, with a decrease of 10.1% from USD 855.1 million in 2019 to USD 768.4 million in 2023 and a low standard deviation of USD 39.7 million, indicating more stable export values. The average annual growth of exports across all countries shows considerable variability, with Peru having the highest average annual increase, while countries like Chile and China exhibit a decreasing trend.
Table 2 highlights an upward trend in Peruvian grape exports. During this period, the net weight of exports experienced a notable growth of 72.3%, with an average annual growth rate of 14.3%. Similarly, the FOB value increased by 102%, corresponding to an average annual growth rate of 19.6%. However, the number of destination countries and exporting companies showed fluctuations and a slight overall decrease, reflecting potential challenges in market diversification and the sustainability of the number of exporters. The year 2023 stood out as the best year in terms of both net weight and FOB value, while 2022 was the worst year in terms of the number of exporting companies, with a decrease of 9.4% compared to the previous year. The standard deviation of the net weight (99.5) and FOB value (358.3) indicates significant variability in these indicators over the analyzed period.
Table 3 presents the absolute revealed comparative advantage (ARCA) index in grapes. The consistent upward trend in the ARCA index indicates a strengthening of comparative advantage over this period. The highest average annual growth rate during this period was approximately 0.84%, while the lowest was around 0.21%. The average annual growth rate across the years was 0.42%, with a standard deviation of 0.0073. This steady increase reflects a positive development in the country’s ability to compete in the global grape market, demonstrating enhanced efficiency and performance in grape production and export relative to other countries.
Table 4 presents the global blueberry exports. Peru stands out with the highest annual percentage growth, achieving an average annual growth rate of 20.04%, accompanied by a standard deviation of 5.43, indicating moderate variability. The Netherlands shows significant growth with an average annual growth rate of 16.75% and a standard deviation of 16.53, reflecting considerable variability in its exports. Chile, on the other hand, experiences a constant decline with a negative average annual growth rate of −7.39% and a standard deviation of 10.74, indicating moderate variability in its decreases. Spain presents an average annual growth rate of 10.67% with a standard deviation of 23.69, suggesting significant fluctuations. The United States maintains relative stability with an average annual growth rate of 5.55% and a standard deviation of 11.32, indicating moderate variations. Canada records an average annual growth rate of 6.28% and a standard deviation of 15.97, reflecting considerable variability. Finally, South Africa shows an average annual growth rate of 11.86% and a standard deviation of 10.31, indicating stability with slight annual variations.
In Table 5, the number of destination countries had an average growth rate of 6.21% with a standard deviation of 18.23%, experiencing the highest growth in 2023 and the greatest decline in 2022. The number of companies involved grew at an average annual rate of 16.10%, with a standard deviation of 27.08%, showing the highest growth in 2023 and the greatest decline in 2021. The net weight of exports saw an average annual growth of 16.38% and a standard deviation of 27.80%, with 2022 marking the highest increase and 2023 the largest decrease. The FOB value exhibited an average annual growth rate of 19.88% and a standard deviation of 6.56%, with the highest growth in 2023 and the greatest decline in 2022. In conclusion, the indicators show an overall growth in Peruvian blueberry exports, albeit with some variability, with 2023 standing out as a year of significant growth and 2022 experiencing notable declines, especially in the number of destination countries and FOB value.
In Table 6, the index had an average growth rate of 0.18% with a standard deviation of 0.34%. The highest growth was observed in 2020, while the greatest decline occurred in 2021. This suggests that while the comparative advantage of Peruvian blueberries has been relatively stable, there was a slight increase in 2020 followed by a minor decline in 2021. This suggests an improvement in the country’s competitive standing in the global blueberry market, showcasing increased efficiency and effectiveness in blueberry production and export compared to other nations.
Table 7 presents global avocado exports. Mexico stands out with the highest annual percentage growth, achieving an average annual growth rate of 2.53%, accompanied by a standard deviation of 9.32, indicating moderate variability. The Netherlands shows significant growth with an average annual growth rate of 13.93% and a standard deviation of 29.11, reflecting considerable variability in its exports. Peru, on the other hand, experiences moderate growth with an average annual growth rate of 8.04% and a standard deviation of 22.14, indicating moderate variability in its increases. Spain presents an average annual growth rate of 3.49% with a standard deviation of 10.32, suggesting moderate fluctuations. The United States maintains relative stability with an average annual growth rate of −4.20% and a standard deviation of 8.52, indicating moderate variations. Chile records an average annual growth rate of −3.77% and a standard deviation of 17.36, reflecting moderate variability. Colombia shows substantial growth with an average annual growth rate of 25.94% and a standard deviation of 33.21, indicating significant variability. Finally, South Africa shows an average annual growth rate of 20.33% and a standard deviation of 17.00, indicating considerable growth with moderate annual variations.
In Table 8, the number of destination countries had an average growth rate of 16.10% with a standard deviation of 27.08%, experiencing the highest growth in 2023 and the greatest decline in 2021. The number of companies involved grew at an average annual rate of 16.39%, with a standard deviation of 27.81%, showing the highest growth in 2022 and the greatest decline in 2023. The net weight of exports saw an average annual growth of 19.88% and a standard deviation of 6.55%, with 2023 marking the highest increase and 2022 the largest decrease. The FOB value exhibited an average annual growth rate of 16.10% and a standard deviation of 27.08%, with the highest growth in 2023 and the greatest decline in 2021. In conclusion, the indicators show an overall growth in Peruvian avocado exports, albeit with some variability, with 2023 standing out as a year of significant growth and 2021 experiencing notable declines, especially in the number of destination countries and FOB value.
In Table 9, the index had an average growth rate of 0.16% with a standard deviation of 0.32%. The highest growth was observed in 2023, while the greatest decline occurred in 2022. This indicates that the comparative advantage of Peruvian avocados has shown a slight but consistent increase over the years, with a notable peak in 2023 and a minor setback in 2022. This trend suggests an improving competitive position in the global avocado market, reflecting increased efficiency and performance in avocado production and export relative to other countries.
Table 10 presents global asparagus exports in million USD. Peru shows marginal growth with an average annual growth rate of 0.05% and a standard deviation of 7.71, indicating moderate variability. Mexico experiences a decline with an average annual growth rate of −4.09% and a standard deviation of 14.58, reflecting considerable variability. The United States maintains relative stability with an average annual growth rate of −1.93% and a standard deviation of 11.29, indicating moderate variations. Spain presents a robust growth rate with an average annual growth rate of 7.49% and a standard deviation of 22.68, suggesting significant fluctuations. The Netherlands shows minimal growth with an average annual growth rate of 0.59% and a standard deviation of 23.08, indicating high variability. Italy demonstrates substantial growth with an average annual growth rate of 21.98% and a standard deviation of 40.42, reflecting significant variability. France also shows significant growth with an average annual growth rate of 7.49% and a standard deviation of 32.34, indicating high variability. Finally, Greece exhibits a strong growth rate with an average annual growth rate of 19.29% and a standard deviation of 35.23, indicating considerable variability.
In Table 11, the number of destination countries had an average decline of −1.15% with a standard deviation of 5.71%, experiencing the highest growth in 2021 and the greatest decline in 2023. The number of companies involved showed an average annual decline of −1.26% and a standard deviation of 6.99%, with the highest growth in 2023 and the greatest decline in 2022. The net weight of exports saw an average annual decline of −6.84% and a standard deviation of 12.83%, with 2021 marking the highest increase and 2023 the largest decrease. The FOB value exhibited an average annual decline of −0.40% and a standard deviation of 6.10%, with the highest growth in 2023 and the greatest decline in 2022. In conclusion, the indicators show a general decline in Peruvian asparagus exports over the period, with some variability, highlighting 2023 as a year of recovery in some aspects and 2022 as a year of notable declines.
In Table 12, the index had an average growth rate of 0.10% with a standard deviation of 0.24%. The highest growth was observed in 2023, while the greatest decline occurred in 2022. This indicates a stable but slightly increasing comparative advantage of Peruvian asparagus over the years, with a significant rise in 2023 following a minor decline in 2022.

4. Discussion and Conclusions

This study has evaluated the competitiveness and export development of Peru’s main agro-export products: grapes, blueberries, avocados, and asparagus, revealing several key points that contrast with the existing literature.
The results show significant growth in grape exports, which aligns with previous studies highlighting the potential of Peruvian grapes in the international market due to favorable climatic conditions and improvements in cultivation techniques (Juarez Malaver 2022). However, the high variability in exports reflects challenges in stability, indicating the need for more efficient logistics infrastructure and reduced transportation costs to maintain competitiveness (Juarez Malaver 2022; Ramos et al. 2019). This finding is consistent with observations by authors emphasizing the importance of infrastructure improvements to ensure products reach international markets in optimal conditions (Nonalaya et al. 2021).
Peru has also shown notable growth in blueberry exports, consistent with the increasing demand in international markets reported in the literature (Bossio Valdivia et al. 2017). However, significant fluctuations in the number of destination countries and exporting companies suggest challenges in market diversification and exporter sustainability. This variability indicates that despite growth, there are obstacles that need to be addressed to ensure more stable and continuous development (Carbonell Santillán 2023). This reinforces the need to diversify both the markets and the base of exporting companies to reduce dependency and improve resilience (Roja and Sánchez 2023; Urcia Armas and Vivanco Caceres 2022).
In the case of avocados, the moderate growth in exports contrasts with expectations of more robust development due to Peru’s comparative advantages in avocado production (Coayla and Jiménez 2022; Mills-Novoa 2020; Salmoral et al. 2020). The observed variability suggests that factors such as market access and logistics infrastructure remain significant challenges (Nonalaya et al. 2021). Furthermore, although the revealed comparative advantage index shows a positive trend, the lower consistency compared to other products highlights the need for specific strategies to strengthen the competitiveness of avocados in the global market (Larrea-Gallegos et al. 2019; Parco Espinoza and Mallqui Cunurana 2022). This aligns with arguments by authors advocating for improvements in technology access and capital to enhance productivity and product quality (Leyva Morales 2023).
For asparagus, the results indicate marginal growth in exports, contrasting with expectations of more solid development as suggested by the literature (Esterhuizen and van Rooyen 2006; Ramos et al. 2019). The significant variability in indicators suggests that Peru faces substantial challenges in the sustainability of asparagus exports (Lan and Kien 2021). This underscores the need to improve agricultural practices and supporting infrastructure to maintain competitiveness in this sector (Bossio Valdivia et al. 2017). The literature emphasizes that adopting sustainable practices and investing in technology are crucial to overcoming these challenges (Juarez Malaver 2022). The revealed comparative advantage index shows a positive trend for grapes, blueberries, and avocados, indicating improved efficiency and performance compared to other countries (Montes Ninaquispe et al. 2021). However, asparagus presents a less consistent comparative advantage, with variations reflecting challenges in maintaining solid and continuous competitiveness (Saki et al. 2019). These findings suggest the need for adaptive and resilient strategies focused on the continuous improvement of logistics infrastructure, technology access, and market diversification to ensure sustained growth (Larrea-Gallegos et al. 2019).
The results of this study on the competitiveness and export development of Peru’s main agro-export products highlight several key areas that need to be addressed to improve the sector’s efficiency and sustainability.
Firstly, Peru has shown remarkable growth in grape exports, significantly increasing export volumes between 2019 and 2023. However, this growth is accompanied by high annual variability, indicating significant fluctuations in exports. Despite the growth, this variability underscores the need to improve the stability of exports through investments in logistics infrastructure and greater transportation efficiency. Modernizing roads, ports, and internal transportation systems is essential to reduce costs and ensure that products reach international markets in optimal conditions.
Conversely, blueberry exports have also shown impressive growth, with a high annual growth rate. However, variability in export destinations and the number of exporting companies suggests challenges in market diversification. Although blueberry exports are on the rise, it is crucial to address market stability and diversification to ensure sustained growth. This involves exploring new international markets and supporting more producers and companies to integrate into the export chain, thereby reducing dependency on a few markets and exporters.
Regarding avocados, exports have grown moderately, reflecting positive performance but with significant variability. This trend indicates that while Peru is improving its competitive position in the global avocado market, it still faces challenges in terms of efficiency and consistency in production and export. Adopting advanced technologies and providing technical training are fundamental to improving productivity and product quality, enabling Peruvian farmers to better meet global market demands.
In contrast to other products, asparagus exports have shown marginal growth and high variability. The revealed comparative advantage index suggests slight stability but with challenges in achieving sustained growth. The decline in the number of destination countries and exporting companies in certain years underscores the need for specific strategies to enhance the competitiveness and sustainability of asparagus exports. Adopting sustainable and efficient agricultural practices is crucial to ensure the sector’s long-term viability, especially considering international pressure and the effects of climate change.

5. Recommendations

The results show a high variability in the exports of products such as grapes, which have grown significantly but exhibited large annual fluctuations. This underscores the urgent need to improve logistical infrastructure. It is essential to invest in the modernization of roads, ports, and internal transportation systems to reduce transportation costs and ensure that products reach international markets in optimal conditions. This improvement will not only increase logistical efficiency but also stabilize the observed fluctuations in exports, as seen in the export data for grapes and blueberries.
The data reveal significant fluctuations in the number of destination countries and exporting companies, especially in products such as blueberries and avocados. Although there has been notable growth in exports, these fluctuations suggest a vulnerability due to reliance on a few markets and exporting actors. It is crucial to diversify both export markets and the base of exporting companies. This involves exploring new international markets and supporting more producers and companies to integrate into the export chain, thereby reducing market fluctuation vulnerabilities and improving the stability and sustainability of Peruvian exports.
The variability in the competitiveness of products such as avocados and asparagus, which show less consistent growth, indicates the need for greater investment in agricultural technology and training for producers. The adoption of advanced technologies and technical training can significantly improve productivity and product quality, enabling Peruvian farmers to better adapt to the demands and standards of the global market. This investment in technology and training is essential to close the competitiveness gap and enhance productive efficiency, which will result in greater consistency and growth in exports.
MINAGRI must implement policies that encourage investment in infrastructure and agricultural technology, as well as training programs for farmers, focusing on improving logistical efficiency and the adoption of sustainable practices. PROMPERÚ should develop export promotion strategies that include market diversification and the enhancement of the image of Peruvian products abroad, promoting international fairs and trade missions to explore new markets and strengthen existing ones. ADEX should facilitate access to financing and technology for small and medium-sized producers, offering training and technical assistance programs to strengthen the export base and improve the competitiveness of Peruvian products. INIA should promote research and development in sustainable agricultural practices and innovative technologies, collaborating with educational institutions and the private sector to transfer advanced knowledge and technologies to farmers.

Author Contributions

Conceptualization, A.L.P.S.M.; methodology, J.C.M.N. and D.A.L.J.; formal analysis, J.C.M.N. and W.T.C.M.; investigation, J.C.M.N.; writing—original draft, J.C.M.N. and A.L.P.S.M.; visualization, J.C.F.R. and B.H.M.E.; supervision, K.C.V.H.; project administration, J.C.M.N. All authors have read and agreed to the published version of the manuscript.

Funding

The funding was provided by the Universidad de San Martín de Porres.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data can be found at the following link: https://drive.google.com/open?id=18dc6xkXuWF_vtZJJ9yYwQVr22LXFQSDn&usp=drive_fs (accessed on 10 May 2024).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ando, Mitsuyo, Shujiro Urata, and Kenta Yamanouchi. 2022. Do Japan’s Free Trade Agreements Increase Its International Trade? Journal of Economic Integration 37: 1–29. [Google Scholar] [CrossRef]
  2. Andrés González-Moralejo, Silvia, Tania Marín Orantes, and Martha Flores Romero. 2021. Competitiveness Analysis of the Agri-Food Industry in Mexico. Agroalimentaria 27: 125–40. [Google Scholar]
  3. Arbulú Ballesteros, Marco Agustín, Jose Carlos Montes Ninaquispe, Diego Alejandro Ludeña Jugo, Julie Catherine Arbulú Castillo, Milagros Lamadrid Aldana, Alberto Luis Pantaleón Santa María, Karol Melissa Arbaiza Godos, and Stephanie Virginia Ruiz Chacon. 2024. Diversification of Fresh Asparagus Exports from Perú. Journal of Educational and Social Research 14: 258. [Google Scholar] [CrossRef]
  4. Balassa, Bela. 1965. Trade Liberalisation and “Revealed” Comparative Advantage. The Manchester School 33: 99–123. [Google Scholar] [CrossRef]
  5. Bortz, Pablo G., and Nicole Toftum. 2023. Changes in rainfall, agricultural exports and reserves: Macroeconomic impacts of climate change in Argentina. Journal of Environmental Economics and Policy 13: 1–16. [Google Scholar] [CrossRef]
  6. Bossio Valdivia, Miguel Ángel, Eder Eleazar Cotillo Flores, and Melissa Gloria Delgado Clemente. 2017. Optimización de costos de la logística internacional de exportación de productos peruanos como elemento de mejora en la gestión empresarial. Caso: Exportación de botellas con bebida de Maca peruana, por el grupo ALGANA. Master’s thesis, UCSS Digital Institutional Repository, Lima, Peru. [Google Scholar]
  7. Carbonell Santillán, Cinthya Elizabeth. 2023. Análisis de los factores de crecimiento y competitividad de las exportaciones de arándanos frescos en Perú, 2011–2021. Bachelor’s thesis, Universidad San Ignacio de Loyola, Lima, Peru. [Google Scholar]
  8. Coayla, Edelina, and Luis Jiménez. 2022. Financing for the climate change adaptation of organic export agriculture in Peru. Future of Food: Journal on Food, Agriculture and Society 10: 16–30. [Google Scholar] [CrossRef]
  9. Copetti, Leonardo Sangoi, Kelmara Mendes Vieira, and Daniel Arruda Coronel. 2013. Transmission of exchange rates for Soya export prices: USA, Brazil and Argentina market analyses | Transmissão da variação da taxa de câmbio para os preços de exportação da soja em grão: Análise dos mercados dos Estados unidos, do Brasil e da Argentina. Revista Em Agronegocio e Meio Ambiente 6: 435–61. [Google Scholar]
  10. Corona Lisboa, José. 2016. Apuntes sobre métodos de investigación. MediSur 14: 81–83. Available online: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1727-897X2016000100016&lng=es&nrm=iso&tlng=es (accessed on 10 May 2024).
  11. Das, Sudipta, Rokibul Hasan, and Debanjan Das. 2024. Who is the next China? Comparative advantage analysis from top ten apparel exporting nations. Competitiveness Review. ahead-of-print. [Google Scholar] [CrossRef]
  12. De Melo, Tatiana Massaroli, and Eneas Gonçalves De Carvalho. 2024. An analysis of the competitiveness of developing countries based on the foreign added value of exports: The use of revealed comparative advantage index for the period 1995 to 2018 | Uma análise da competitividade de países em desenvolvimento a partir do v. Brazilian Journal of Political Economy 44: 63–83. [Google Scholar] [CrossRef]
  13. De Paula Junior, Amarildo. 2020. The impact of soy, coffee and sugar exports on exchange reserves: An estimation by cochrane-orcutt | O impacto das exportações de soja, café e açúcar sobre as reservas cambiais: Uma estimação por cochrane-orcutt. Relacoes Internacionais No Mundo Atual 1: 258–68. [Google Scholar] [CrossRef]
  14. Dilawari, Rahul, Navneet Kaur, Nitesh Priyadarshi, Ish Prakash, Anupam Patra, Sahil Mehta, Baljinder Singh, Prateek Jain, and Aminul Islam. 2022. Soybean: A Key Player for Global Food Security. In Soybean Improvement: Physiological, Molecular and Genetic Perspectives. Cham: Springer. [Google Scholar] [CrossRef]
  15. Elsalih, Osama, Kamil Sertoglu, and Mustafa Besim. 2021. Determinants of comparative advantage of crude oil production: Evidence from OPEC and non-OPEC countries. International Journal of Finance and Economics 26: 3972–83. [Google Scholar] [CrossRef]
  16. Erkan, Birol, and Elif Tuğçe Bozduman. 2022. The Global Competitive Structure of ASEAN Countries in Innovative Products. In Studies on Entrepreneurship, Structural Change and Industrial Dynamics. Cham: Springer, pp. 53–69. [Google Scholar] [CrossRef]
  17. Escobar, Neus, E. Jorge Tizado, Erasmus K.H.J. zu Ermgassen, Pernilla Löfgren, Jan Börner, and Javier Godar. 2020. Spatially-explicit footprints of agricultural commodities: Mapping carbon emissions embodied in Brazil’s soy exports. Global Environmental Change 62: 102067. [Google Scholar] [CrossRef]
  18. Esquivias, Miguel A., Akhmad Jayadi, Syahiru Shafiai, Intan M. Abd Rashid, Amirah H. Borhanordin, Kemala Sari Agusti, and Lutfi Yahwidya. 2023. The Nexus between Food Security and Investment, Exports, Infrastructure, and Human Capital Development. Journal of Human, Earth, and Future 4: 221–40. [Google Scholar] [CrossRef]
  19. Esterhuizen, Dirk, and Johan van Rooyen. 2006. Determinants of competitiveness of South African agricultural export firms. Competitiveness Review 16: 223–32. [Google Scholar]
  20. Femeena, Hassan, C. Jeeva, and Sangeetha K Prathap. 2012. Economics of cost of compliance with HACCP in seafood export units and its limitations for applicability in domestic markets. Indian Journal of Fisheries 59: 141–45. [Google Scholar]
  21. Fiankor, Dela-Dem, and Fabio G. Santeramo. 2023. Revisiting the impact of per-unit duties on agricultural export prices. Applied Economic Perspectives and Policy 45: 1472–92. [Google Scholar] [CrossRef]
  22. Figueira, Sergio Rangel Fernandes, and Galache Vinicius de Oliveira. 2023. Comparative analysis of the competitiveness of soybean exports from Brazil, the United States, and Argentina | Análise comparativa da competitividade das exportações de soja em grão do Brasil, Estados Unidos e Argentina. Revista de Economia e Sociologia Rural 61: e245403. [Google Scholar] [CrossRef]
  23. Hasan, Rokibul, Ishtehar Sharif Swazan, and Debanjan Das. 2024. Beyond the seams: Evaluating competitiveness and comparative advantage in Vietnam’s apparel industry. Journal of Chinese Economic and Foreign Trade Studies. ahead-of-print. [Google Scholar] [CrossRef]
  24. He, Li Yu (Colly), Sue Wright, and Elaine Evans. 2018. Is fair value information relevant to investment decision-making: Evidence from the Australian agricultural sector? Australian Journal of Management 43: 555–74. [Google Scholar] [CrossRef]
  25. Herbas Torrico, Boris Christian, and Erick Ariel Rocha Gonzales. 2018. Metodología científica para la realización de investigaciones de mercado e investigaciones sociales cuantitativas. Revista Perspectivas 42: 123–60. [Google Scholar]
  26. Hidayat, Ariodillah, Bernadette Robiani, Taufiq Marwa, and Suhel Suhel. 2023. Competitiveness, Market Structure, and Energy Policies: A Case Study of the World’s Largest Crude Palm Oil Exporter. International Journal of Energy Economics and Policy 13: 111–21. [Google Scholar] [CrossRef]
  27. Hossain, Kamal, Ahmad Sufian Che Abdullah, Mohd Abd Wahab Fatoni Mohd Balwi, Asmuliadi Lubis, Noor Azlinna Azizan, Mohammad Nurul Alam, and Azni Zarina Taha. 2023. Linking entrepreneurial orientation with export performance: Mediation effects of multiple differentiation strategies. Journal of Business and Industrial Marketing 38: 1769–93. [Google Scholar] [CrossRef]
  28. Hu, Xiaoqian, Boxue Sun, Chao Wang, Ming K. Lim, Peng Wang, Xinyi Geng, Cuiyou Yao, and Wei-Qiang Chen. 2023. Impacts of China’s exports decline in rare earth primary materials from a trade network-based perspective. Resources Policy 81: 103321. [Google Scholar] [CrossRef]
  29. International Trade Center. 2024. Trade Map—Trade Statistics for International Business Development. Available online: https://www.trademap.org/Index.aspx (accessed on 15 June 2024).
  30. Juarez Malaver, Raysa Tatiana. 2022. Factores económicos que inciden en la participación peruana en el mercado mundial de espárrago fresco, 2010–2020. Bachelor’s thesis, Universidad Privada del Norte. Facultad de Negocios, Trujillo, Peru. Available online: https://hdl.handle.net/11537/31682 (accessed on 1 May 2024).
  31. Krugman, Paul R., and Maurice Obstfeld. 2006. Economía Internacional: Teoría y Política, 7th ed. Edited by Cañizal A. Pearson Educación: Available online: https://fad.unsa.edu.pe/bancayseguros/wp-content/uploads/sites/4/2019/03/Krugman-y-Obstfeld-2006-Economia-Internacional.pdf (accessed on 4 May 2024).
  32. Lan, Ngo Thi Phuong, and Nguyen Van Kien. 2021. Back to Nature-Based Agriculture: Green Livelihoods Are Taking Root in the Mekong River Delta. Journal of People, Plants, and Environment 24: 551–61. [Google Scholar] [CrossRef]
  33. Laosutsan, Pheesphan, Ganesh P. Shivakoti, and Peeyush Soni. 2019. Agricultural and natural resources adaptations to climate change: Factors influencing the adoption of good agricultural practices and export decision of thailand’s vegetable farmers. International Journal of the Commons 13: 867–80. [Google Scholar] [CrossRef]
  34. Larrea-Gallegos, Gustavo, Ian Vázquez-Rowe, Hugo Wiener, and Ramzy Kahhat. 2019. Applying the Technology Choice Model in Consequential Life Cycle Assessment: A Case Study in the Peruvian Agricultural Sector. Journal of Industrial Ecology 23: 601–14. [Google Scholar] [CrossRef]
  35. Leyva Morales, Jhosety Alexandra. 2023. Medidas sanitarias y fitosanitarias de Estados Unidos y su efecto en las agroexportaciones de palta, arándanos y uvas de Perú, Chile y México. Bachelor’s thesis, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru. Available online: http://hdl.handle.net/10757/670633 (accessed on 10 May 2024).
  36. Liu, Yawen, Lingyu Yang, Jinzhu Zhang, Qi Cui, Yu Liu, Fengying Nie, and Yumeng Hu. 2022. Aggravating effects of food export restrictions under climate change on food security: An analysis of rice economy based on alternative indicators. Climate Change Economics 13: 2240006. [Google Scholar] [CrossRef]
  37. Luhwago, Win, Damas Philip, Reuben Kadigi, Charles Mgeni, and Rajabu Kangile. 2023. Determinants and Competitiveness of Rice Export in Tanzania: A Vector Error Correction Model. East African Journal of Science, Technology and Innovation 4: 1–19. [Google Scholar] [CrossRef]
  38. Manrique Talledo, Kelly Katsumi Odely, and Laura Eugenia Muñoz Peláez. 2021. El impacto del TLC Perú-Unión Europea en el nivel de exportaciones de palmito a Francia por la Cooperativa APROPAL Ltd.a, en el periodo 2008–2018. Bachelor’s thesis, Repositorio Institucional de la UTP, Lima, Peru. [Google Scholar]
  39. Meng, Xiangyuan, Xue Li, Wenyan Xiao, and Jie Li. 2023. The differentiated impacts of external and internal financing on export: The firm-level evidence. International Journal of Emerging Markets 18: 769–87. [Google Scholar] [CrossRef]
  40. Mills-Novoa, Megan. 2020. Making agro-export entrepreneurs out of Campesinos: The role of water policy reform, agricultural development initiatives, and the specter of climate change in reshaping agricultural systems in Piura, Peru. Agriculture and Human Values 37: 667–82. [Google Scholar] [CrossRef]
  41. Ministerio de Economía y Finanzas del Perú. 2022. Arancel de aduanas 2022. Available online: https://cdn.www.gob.pe/uploads/document/file/2676619/DS404_2021EF.pdf (accessed on 10 May 2024).
  42. Monja Paico, Angie Nicolle. 2023. Diversificación de las exportaciones y el crecimiento económico peruano 2011–2021. Bachelor’s thesis, Repositorio Institucional de la UTP, Lima, Peru. Available online: https://hdl.handle.net/20.500.12867/7429 (accessed on 10 May 2024).
  43. Montes Ninaquispe, Jose Carlos, Alberto Luis Pantaleón Santa María, Marco Agustín Arbulú Ballesteros, Gabriela Lizeth Castro Ijiri, Francisco Segundo Mogollón García, Emma Verónica Ramos Farroñán, and Julio Roberto Izquierdo Espinoza. 2023a. Diversification of Peruvian Ginger exports 2012–2021. Paper presented at Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, Buenos Aires, Argentina, July 19–21. [Google Scholar]
  44. Montes Ninaquispe, Jose Carlos, Alberto Pantaleón Santa María, and Iván Antonio Oblitas Vallejo. 2023b. Dinámica comercial de las exportaciones peruanas de café a la Unión Europea 2017–2021. Revista Alfa 7: 175–83. [Google Scholar] [CrossRef]
  45. Montes Ninaquispe, Jose Carlos, Kelly Cristina Vasquez Huatay, Diego Alejandro Ludeña Jugo, Alberto Luis Pantaleón Santa María, Juan César Farías Rodríguez, Fernando Suárez Santa Cruz, Erik Omar Escalona Aguilar, and Marco Agustín Arbulú-Ballesteros. 2024. Market Diversification and Competitiveness of Fresh Grape Exports in Peru. Sustainability 16: 2528. [Google Scholar] [CrossRef]
  46. Montes Ninaquispe, José Carlos, Alberto Luis Pantaleón Santa María, Ingrid Isabel Medina Cardozo, and Romy Mariel Palacios Díaz. 2021. Niveles de exportación de productos tradicionales y no tradicionales del Perú 2011–2020. Revista Científica Epistemia 5. [Google Scholar] [CrossRef]
  47. Morales-Marín, Luis, Howard Wheater, and Karl-Erich Lindenschmidt. 2018. Potential changes of annual-averaged nutrient export in the South Saskatchewan River Basin under climate and land-use change scenarios. Water 10: 1438. [Google Scholar] [CrossRef]
  48. Mruthyunjaya. 2023. Agricultural sector in India: Accelerating growth and enhancing competitiveness. In Agricultural Sector in India: Accelerating Growth and Enhancing Competitiveness. London: Routledge. [Google Scholar] [CrossRef]
  49. Muhamediyev, Dilnoz. 2023. Forecasting export options for fruit and vegetable products. AIP Conference Proceedings 2777: 020073. [Google Scholar] [CrossRef]
  50. Nonalaya, Estefani Caballero, StefanyCoz DelCastillo, ImeldaVeliz Huamantica, WagnerVicente Ramos, and Cinthia Galarza Balbuena. 2021. Analysis of internal logistic cost on exports of peruvian coffee in the period 2015–2019. Acta Logistica 8: 73–81. [Google Scholar] [CrossRef]
  51. Nong, Tung Huu, Duong HuuNong, Nam Hai Nguyen, Dinh Thi Pham, Huyen Thi Mai, and Yanan Sun. 2023. Enhancing the Competitiveness of Tea Export of Vietnam Versus Other ASEAN Countries in the International Market. Indian Journal of Economics and Development 19: 515–24. [Google Scholar] [CrossRef]
  52. Ojede, Andrew. 2015. Exchange Rate Shocks and U.S. Services and Agricultural Exports: Which Export Sector is More Affected? International Trade Journal 29: 228–50. [Google Scholar] [CrossRef]
  53. Orjuela-Castro, Javier Arturo, Juan Pablo Orejuela-Cabrera, and Wilson Adarme-Jaimes. 2021. Logistics network configuration for seasonal perishable food supply chains. Journal of Industrial Engineering and Management 14: 135–51. [Google Scholar] [CrossRef]
  54. Pantaleón Santa María, Alberto Luis, Ingrid Isabel Medina Cardozo, and José Carlos Montes Ninaquispe. 2021. Comportamiento de la producción e importación de arroz en el Perú 2016–2020. TZHOECOEN 13: 76–83. [Google Scholar] [CrossRef]
  55. Pantaleón Santa María, Alberto Luis, Ramiro Azañero Díaz, Patricia del Rocio Chávarry Ysla, Grecia Alejandra Avarez Tello, Jose Carlos Montes Ninaquispe, and Adriana Raquel Pantaleón Zamora. 2022. Dinamismo Exportador del Perú: Una Década de Ensueño 2012–2021. Available online: https://a.co/d/fASHo0T (accessed on 10 May 2024).
  56. Parco Espinoza, Ana Miqueli, and Jennifer Claudia Mallqui Cunurana. 2022. Los efectos de la normativa europea en certificación orgánica en las exportaciones peruanas de quinua orgánica en el marco del Acuerdo Comercial entre el Perú y la Unión Europea (UE) durante el periodo 2014–2019. Bachelor’ thesis, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru. Available online: http://hdl.handle.net/10757/663400 (accessed on 10 May 2024).
  57. Peano, Cristiana, Vincenzo Girgenti, Claudio Baudino, and Nicole Roberta Giuggioli. 2017. Blueberry Supply Chain in Italy: Management, Innovation and Sustainability. Sustainability 9: 261. [Google Scholar] [CrossRef]
  58. Phan, Trang Hoai. 2022. Working Conditions, Export Decisions, and Firm Constraints-Evidence from Vietnamese Small and Medium Enterprises. Sustainability 14: 7541. [Google Scholar] [CrossRef]
  59. Rai, Heleen Buldeo, Sanggyun Kang, Takanori Sakai, Carla Tejada, Quan (Jack) Yuan, Alison Conway, and Laetitia Dablanc. 2022. Proximity logistics’: Characterizing the development of logistics facilities in dense, mixed-use urban areas around the world. Transportation Research Part A: Policy and Practice 166: 41–61. [Google Scholar] [CrossRef]
  60. Raman, M. S., Devesh Kumar Pant, Alka Singh, and Rohit Kumar. 2023. Competitiveness of Fruits’ and Vegetables’ Exports from India. Economic Affairs (New Delhi) 68: 1379–86. [Google Scholar] [CrossRef]
  61. Ramos, Edgar, Tamy Hinostroza, Jean Pierre Yanayaco, and Ron Mesia. 2019. Development of supply chain quality management in peruvian blueberry companies: A case study in Cañete, Peru. International Journal of Supply Chain Management 8: 795–808. [Google Scholar]
  62. Ressia, Susan, Glenda Strachan, Mary Rogers, Kim Ball, and Ruth McPhail. 2022. Farm Businesswomen’s Aspirations for Leadership: A Case Study of the Agricultural Sector in Queensland, Australia. Frontiers in Sustainable Food Systems 6. [Google Scholar] [CrossRef]
  63. Roja, E., and P. Sánchez. 2023. Competitividad y sostenibilidad en las exportaciones peruanas. Revista de Comercio Internacional 15: 77–89. [Google Scholar]
  64. Saki, Zahra, Marguerite Moore, Ivan Kilov, Lori Rothenberg, and A. Blanton Godfrey. 2019. Revealed comparative advantage for US textiles and apparel. Competitiveness Review 29: 462–78. [Google Scholar] [CrossRef]
  65. Salmoral, Gloria, Araceli Viñarta Carbó, Eduardo Zegarra, Jerry W. Knox, and Dolores Rey. 2020. Reconciling irrigation demands for agricultural expansion with environmental sustainability—A preliminary assessment for the Ica Valley, Peru. Journal of Cleaner Production 276: 123544. [Google Scholar] [CrossRef]
  66. Saptana, Syahrul Ganda Sukmaya, Atika Dyah Perwita, Fadhila Dhia Malihah, Irwanda Wisnu Wardhana, Atika Dian Pitaloka, Shabrina Austin Ghaisani, Bambang Sayaka, Nyak Ilham, Elna Karmawati, Mewa Ariani, and et al. 2023. Competitiveness analysis of fresh tomatoes in Indonesia: Turning comparative advantage into competitive advantage. PLoS ONE 18: e0294980. [Google Scholar] [CrossRef]
  67. Seleka, Tebogo B., and Thula S. Dlamini. 2020. Competitiveness of ACP Sugar Exporters in the Global Market. International Trade Journal 34: 247–77. [Google Scholar] [CrossRef]
  68. Sharma, Ashpreet, Lalit Mohan Kathuria, and Tanveen Kaur. 2023. Analyzing relative export competitiveness of Indian agricultural food products: A study of fresh and processed fruits and vegetables. Competitiveness Review 33: 1090–117. [Google Scholar] [CrossRef]
  69. Sharma, Kalyani, Rajesh Kumar Vishwakarma, Shadanan Patel, Shyam Narayan Jha, and Mridula Devi. 2023. Organic production, postharvest processing, and value-added intervention of fox nuts (euryale ferox) for export. In Transforming Organic Agri-Produce into Processed Food Products: Post-COVID-19 Challenges and Opportunities. Abingdon: Apple Academic Press. [Google Scholar]
  70. Sharma, Ritesh, Vivek Yadav, and Vijay Kumar Yadav. 2023. Organic Production of Basmati Rice. In Organic Crop Production Management, 1st ed. Abingdon: Apple Academic Press, p. 21. [Google Scholar]
  71. Shukla, Swaraj, Sadykova Kamilla, and Jinjin Tian. 2023. Research on India-China agriculture trade dynamics: A comparative advantage analysis. PLoS ONE 18: e0294561. [Google Scholar] [CrossRef]
  72. Sihombing, Fransisca Natalia, Tavi Supriana, and Sri Fajar Ayu. 2021. Identifying the Factors Contributing to the Volume of Coffee Export from North Sumatra to the United States, Malaysia and Japan. Caraka Tani: Journal of Sustainable Agriculture 36: 83–96. [Google Scholar] [CrossRef]
  73. Singh, Ajay Kumar, and Bhim Jyoti. 2023. Appropriate Technology and Adaptation Strategies Mitigate the Adverse Impact of Climate Change on the Agricultural Sector. In Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture. Hershey: IGI Global, pp. 389–416. [Google Scholar] [CrossRef]
  74. SUNAT. 2023. Consulta de declaración de importación. Available online: http://www.aduanet.gob.pe/cl-ad-consdepa/FrmPrincipal.jsp (accessed on 5 May 2024).
  75. Tarihoran, Andiga Dompak Baharaja, Musa Hubeis, Siti Jahroh, and Nimmi Zulbainarni. 2023. Competitiveness of and Barriers to Indonesia’s Exports of Ornamental Fish. Sustainability 15: 8711. [Google Scholar] [CrossRef]
  76. Thorbecke, Willem, Chen Chen, and Nimesh Salike. 2021. China’s exports in a protectionist world. Journal of Asian Economics 77: 101404. [Google Scholar] [CrossRef]
  77. Topcu, Yunus Emre. 2023. The comparative advantages in the wooden furniture industry: Does the export price matter? Competitiveness Review 33: 1145–60. [Google Scholar] [CrossRef]
  78. Urcia Armas, Nataly Lucia, and Jian Carlos Vivanco Caceres. 2022. La negociación e impacto económico del tlc de Perú—Unión Europea del Sector Agrícola periodo 2017–2021. Available online: https://hdl.handle.net/20.500.12692/119354 (accessed on 10 May 2024).
  79. Wainaina, Priscilla, Songporne Tongruksawattana, and Matin Qaim. 2018. Synergies between Different Types of Agricultural Technologies in the Kenyan Small Farm Sector. Journal of Development Studies 54: 1974–90. [Google Scholar] [CrossRef]
  80. Wang, Chi-Mao. 2018. Assembling Lettuce Export Markets in East Asia: Agrarian Warriors, Climate Change and Kinship. Sociologia Ruralis 58: 909–27. [Google Scholar] [CrossRef]
  81. Wanyonyi, Eileen Inyanji, W. Gathungu, and Hillary K. Bett. 2023. Drivers of competitiveness in the agricultural input sector: The case of agro-dealer businesses in Kenya. Cogent Business and Management 10: 2218683. [Google Scholar] [CrossRef]
  82. Zhou, Rongrong, Hanzhou Liu, Qian Zhang, Wei Wang, Jian Mao, Xuerong Wang, and Decai Tang. 2023. Improvement of Agricultural Supply Quality in China: Evidence from Jiangsu Province. Sustainability 15: 11418. [Google Scholar] [CrossRef]
  83. Zhou, Zhiyun, Haoling Liao, Hua Li, Xiao Gu, and Mohammed Moosa Ageli. 2024. The trilemma of food production, clean energy, and water: COP27 perspective of global economy. Land Degradation and Development 35: 1425–36. [Google Scholar] [CrossRef]
Table 1. Global grape exports in millions of USD.
Table 1. Global grape exports in millions of USD.
Exporters20192020202120222023
Chile953.1933.2826.91732.7811.2
Peru811.8991.11195.81292.41745.5
Italy724.6839.3891.9772.0887.8
South Africa521.2520.2708.5764.3615.2
United States of America855.1822.3777.0764.1768.4
Netherlands721.7794.6920.7749.21029.3
China987.21212.7757.1726.7813.9
Spain343.2471.3516.3424.0356.1
Note. Data taken from International Trade Center (2024).
Table 2. Basic indicators of Peruvian grape exports.
Table 2. Basic indicators of Peruvian grape exports.
Years20192020202120222023
Destination countries5956585355
Number of companies157140149132140
Net weight thousand MT376.5442.4513.1554.7648.6
FOB value million USD877.51035.51249.81345.91772.6
Note. Data taken from the DAM registered in SUNAT (2023).
Table 3. Index of absolute revealed comparative advantage in grapes.
Table 3. Index of absolute revealed comparative advantage in grapes.
Year201820192020202120222023
Index0.9480.9510.9590.9610.9660.968
Note. Data taken from the DAM registered in SUNAT (2023).
Table 4. Global blueberry exports in million USD.
Table 4. Global blueberry exports in million USD.
Exporters20202021202220222023
Peru809.621002.981201.361350.981675.97
Netherlands408.73499.84561.61542.31736.41
Chile571.19527.01563.61508.64411.97
Spain377.94432.31602.74493.45528.01
United States of America251.77250.06306.38307.59307.46
Canada156.21135.39152.14189.07192.46
South Africa106.49125.14152.80150.73164.59
Note. Data taken from International Trade Center (2024).
Table 5. Basic indicators of Peruvian blueberry exports.
Table 5. Basic indicators of Peruvian blueberry exports.
Years20192020202120222023
Destination countries3635353344
Number of companies70847178117
Net weight thousand MT125.04163.83206.38275.66206.61
FOB value million USD814.56995.671185.501319.661674.82
Note. Data taken from the DAM registered in SUNAT (2023).
Table 6. Index of absolute revealed comparative advantage in blueberries.
Table 6. Index of absolute revealed comparative advantage in blueberries.
Year20192020202120222023
Index0.9790.9830.9800.9840.986
Table 7. Global avocado exports.
Table 7. Global avocado exports.
Exporters20192020202120222023
Mexico2912.592665.853045.663143.313179.00
Netherlands886.301059.181158.08905.031345.91
Peru751.33759.051048.30894.27963.43
Spain384.65442.89462.01415.79434.57
Chile300.70219.38214.19212.91244.73
Colombia89.05146.03204.59179.26200.90
United States of America154.26164.46156.71149.71128.42
South Africa70.7676.87110.49118.14144.17
Note. Data taken from International Trade Center (2024).
Table 8. Basic indicators of Peruvian avocado exports.
Table 8. Basic indicators of Peruvian avocado exports.
Years20192020202120222023
Destination countries70847178117
Number of companies125.0163.8206.4275.7206.6
Net weight thousand MT814.6995.71185.51319.71674.8
FOB value million USD70847178117
Note. Data taken from the DAM registered in SUNAT (2023).
Table 9. Index of absolute revealed comparative advantage in avocado.
Table 9. Index of absolute revealed comparative advantage in avocado.
Year20192020202120222023
Index0.9600.9630.9650.9620.966
Table 10. Global asparagus exports in million USD.
Table 10. Global asparagus exports in million USD.
Exporters20192020202120222023
Peru394.01377.10400.97366.43391.23
Mexico449.19386.36416.26336.54367.00
United States of America163.57144.45156.27137.98148.34
Spain78.8488.54120.2698.3398.40
Netherlands83.0175.8097.8673.3478.48
Italy31.1641.4160.0037.2855.17
France25.7826.1540.2031.5830.39
Greece13.6920.0928.7520.2223.65
Note. Data taken from International Trade Center (2024).
Table 11. Basic indicators of Peruvian asparagus exports.
Table 11. Basic indicators of Peruvian asparagus exports.
Years20192020202120222023
Destination countries4040414238
Number of companies8986827784
Net weight thousand MT133.97128.02135.98129.6997.90
FOB value million USD400.19387.07399.38369.56391.62
Note. Data taken from the DAM registered in SUNAT (2023).
Table 12. Index of absolute revealed comparative advantage in asparagus.
Table 12. Index of absolute revealed comparative advantage in asparagus.
Year20212022202220222023
Index0.9850.9820.9850.9860.987
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Montes Ninaquispe, J.C.; Pantaleón Santa María, A.L.; Ludeña Jugo, D.A.; Castro Muñoz, W.T.; Farias Rodriguez, J.C.; Maco Elera, B.H.; Vasquez Huatay, K.C. Peruvian Agro-Exports’ Competitiveness: An Assessment of the Export Development of Its Main Products. Economies 2024, 12, 156. https://doi.org/10.3390/economies12060156

AMA Style

Montes Ninaquispe JC, Pantaleón Santa María AL, Ludeña Jugo DA, Castro Muñoz WT, Farias Rodriguez JC, Maco Elera BH, Vasquez Huatay KC. Peruvian Agro-Exports’ Competitiveness: An Assessment of the Export Development of Its Main Products. Economies. 2024; 12(6):156. https://doi.org/10.3390/economies12060156

Chicago/Turabian Style

Montes Ninaquispe, Jose Carlos, Alberto Luis Pantaleón Santa María, Diego Alejandro Ludeña Jugo, William Teófilo Castro Muñoz, Juan Cesar Farias Rodriguez, Billy Heinrich Maco Elera, and Kelly Cristina Vasquez Huatay. 2024. "Peruvian Agro-Exports’ Competitiveness: An Assessment of the Export Development of Its Main Products" Economies 12, no. 6: 156. https://doi.org/10.3390/economies12060156

APA Style

Montes Ninaquispe, J. C., Pantaleón Santa María, A. L., Ludeña Jugo, D. A., Castro Muñoz, W. T., Farias Rodriguez, J. C., Maco Elera, B. H., & Vasquez Huatay, K. C. (2024). Peruvian Agro-Exports’ Competitiveness: An Assessment of the Export Development of Its Main Products. Economies, 12(6), 156. https://doi.org/10.3390/economies12060156

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