Search results

The purpose of this paper is to examine the impact of farmers’ risk perceptions regarding rubber farming on their land use choices, including rubber specialization and crop diversification.

A cross-sectional survey data of some 600 smallholder rubber farmers in Xishuangbanna in Southwest China is employed. This paper develops a general conceptual framework that incorporates a subjective risk item into a model of farmers’ land use choices, thereby developing four econometric models to estimate the role of risk perceptions, and applies instrumental variables to control for the endogeneity of risk perceptions.

The results demonstrate that risk perceptions play an important role in smallholders’ decision-making regarding land use strategies to address potential risks in rubber farming. Smallholders with higher risk perceptions specialize in rubber farming less often and are more likely to diversify their land use, thereby contributing to local environmental conservation in terms of agrobiodiversity. The land use choices of smallholder rubber farmers are also associated with ethnicity, household wealth, off-farm employment, land tenure status, altitude and rubber farming experience.

This study contributes to a better understanding of the implications of farmers’ risk perceptions and shows entry points for improving the sustainability of rubber-based land use systems.

This paper aims to analyze the relationship between inter-firm collaboration network and the type of innovation strategies that can be followed by firms: buy or make innovation. In particular, the authors seek to analyze which are the network topologies that facilitate firms following a buy innovation strategy compared to those network properties that encourage internal R&D activities.

The authors use data from a fieldwork with face-to-face interviews applied to managing directors of firms in the rubber and plastic cluster of Uruguay. Subsequently, they combine social network analysis with regression techniques to determine how inter-firm networks can influence different types of innovation activities.

The authors find that degree centrality facilitates a buy innovation strategy, while betweenness centrality is positively associated with making innovation. Thus, having many direct links with other firms and organizations is relevant to buy innovation. However, indirect links that allow the firm to occupy a strategic position in the network are crucial to develop in-house innovation strategies.

The results offer an advance in the explanation of the incidence of the cluster network structure on the firms innovation strategies; however, they should be contrasted with similar analysis in others clusters and complemented with in depth case studies on the mechanisms behind these phenomena.

These findings have practical implications for business innovation strategy. One factor that should be taken into account is the way in which firms interact with other actors in the cluster. On the one hand, firms can decide to establish and maintain many direct collaboration links, which may contribute to buy innovation. On the other hand, they can follow a more strategic and selective collaboration strategy to make innovation, a strategy that carefully studies not only its direct collaborations, but also what the potential indirect connections would be.

These findings have policy implications regarding industry support organizations. The findings show that such organizations contribute significantly to the overall connectivity and cohesion of networks. This fact allows some firms to register high levels of betweenness centrality, and therefore, organizations can be an interesting instrument to support firms aiming to follow a make innovation strategy.

This study contributes to the literature that analyzes how inter-firm collaboration networks can influence innovation. In line with previous research, results verify that centrality is positively associated with innovation. However, the main contribution of this research is to provide evidence on different ways in which inter-firm networks are related to different innovation strategies (make or buy). In addition, the authors contribute to the understanding of collaboration dynamics and innovation activities in inter-firm interactions within a typical case of a low-tech cluster created under the so-called state-led industrialization model in Latin America.

Este artículo busca estudiar la relación entre las redes de colaboración entre empresas y las diferentes estrategias de innovación. En concreto, se centra en la clásica distinción entre comprar la innovación o desarrollarla en el seno de la empresa.

El artículo estudia el clúster del caucho y plástico de Uruguay, situado en el área metropolitana de Montevideo y Canelones. Los datos se obtuvieron de un trabajo de campo, con 118 entrevistas cara a cara a gerentes de empresas del clúster. Se combinan técnicas de análisis de redes sociales con regresiones logísticas para estimar cómo la posición en la red influye sobre las estrategias de innovación.

Los resultados prueban que la red tiene efectos diferenciados en las estrategias de innovación: mientras que la centralidad de grado (tener muchas conexiones) facilita que las empresas compren innovación, la centralidad de intermediación (ocupar una posición estratégica en la red) está positivamente asociada con el desarrollo de innovación dentro de la empresa.

El artículo realiza una contribución relevante a la literatura sobre redes de innovación al aclarar la relación entre diferentes formas de colaboración en red y distintas estrategias de innovación. Además, resulta de especial interés su estudio de la innovación y las interacciones entre empresas en un caso típico de industria de baja tecnología, creada bajo el llamado modelo de industrialización dirigido por el estado.

Análisis de redes sociales, Innovación, Industrias de baja tecnología, Clúster industrial, Caucho y plástico, Uruguay

O objetivo deste artigo é estudar como as redes de colaboração entre empresas estão relacionadas a diferentes estratégias de inovação seguidas pelas empresas. Em particular, concentra-se na chamada distinção entre comprar e fazer inovação.

O artigo estuda o cluster industrial de borracha e plásticos do Uruguai, localizado nas regiões metropolitanas de Montevidéu e Canelones. Os dados foram obtidos a partir do trabalho de campo, através de 118 entrevistas face-a-face aplicadas a diretores executivos de empresas. Ele combina análise de redes sociais com técnicas de regressão logística para determinar como a posição nas redes de colaboração influencia as estratégias de inovação.

Os resultados provam que a rede tem efeitos diferentes pelo tipo de estratégia de inovação: a centralidade dos graus das firmas (isto é, ter muitos links diretos) facilita a compra de inovações externas, enquanto a centralidade entre as posições (estando localizada em uma posição estratégica na rede) é positivamente associado com a inovação dentro da empresa.

O artigo fornece uma contribuição relevante para a literatura sobre redes de inovação, elucidando a relação entre diferentes formas de colaboração e diferentes estratégias de inovação. Além disso, faz uma contribuição especial, concentrando-se em inovações e interações entre firmas dentro de um caso típico de uma indústria de baixa tecnologia criada sob o chamado modelo de industrialização liderado pelo Estado.

Análise de redes sociais, Inovação, Indústrias de baixa tecnologia, Cluster industrial, Borracha e plásticos, Uruguai

This study aims to fundamentally focus on the comparative advantage measurement and the trend of change in the international competitiveness of five Thai economic products exporting to the People’s Republic of China during the first half of the 2010s via the analysis of the revealed comparative advantage (RCA) index and market share.

The RCA index has been computed to show the comparative advantages of the product to a certain extent: whether it is cost-effective to produce that product in a certain location compared to opportunity cost of the resources in producing that product. The data set of number and value of five important export products from Thailand to China during 2010-2013 has been obtained from the Thai Ministry of Commerce and Thai-Chinese Business Information Centre.

The study reveals that of these five important economic products, cassava has the highest comparative advantage and continues to have a rapid growth trend, whilst computer equipment and components have been shown to have comparative disadvantage and the lowest comparative advantage index scores.

Measuring with various sophisticated indices may provide clearer results. Also, according to unavailability of data set, the four-year period may not be able to show the long-term trend of competitiveness. Future studies are encouraged to study in the longer-term period with numerous indices.

The research also provides policy implications and measures to develop each sector to enhance competitiveness.

This is the original attempt to use both indices to assess the competitiveness of important Thai exports to the Chinese market.

Using the EU‐KLEMS database for 12 countries and 16 industries, the purpose of this paper is to analyze the differences in technological capital intensity (R&D capital stock as a percentage of GVA) between industries and the evolution of inequalities between the EU‐11 and the USA, as well as between EU countries.

The authors use shift‐share analysis and a Theil inequality index to break down these inequalities and to quantify the importance of either a country or a specialization effect.

Results from the shift‐share analysis show that there was a technological gap in favor of the USA until the mid‐1990s linked to the greater accumulation of technological capital in most of the productive sectors considered, this being the main reason for the differences in technological innovation between the USA and the EU‐11. However, since 1995 a change in productive specialization has occurred, with a significant drop in the weight of lower technology‐intensive industries in the EU‐11 economy, as well as a significant drop in the weight of some medium technology‐intensive industries in the USA, accounting for the reduction in the technological gap between the EU and the USA. Results from the Theil index show that the differences in the productive structure of European countries explain most of their differences in technological capital intensity.

The study discusses the issue from the standpoint of the distribution of technological innovation across industries. The variable analyzed and constructed is R&D capital stock and not R&D expenditures. It applies a methodology (shift‐share analysis and Theil index) not commonly used to analyze technological innovation inequalities.

The purpose of this paper is to analyse the structural changes and pattern of specialisation that followed the formation of the Central American Common Market (CACM) in the early 1960s. In the first section it is shown that the fear did exist that trade‐creating and “backwash” effects would dominate as a result of unrestricted free trade in the region. In sections two and three, evidence is presented to suggest that these fears have proved to be largely unfounded. The operation of market forces has led to an unplanned reciprocal exchange of manufactures for manufactures and non‐manufactures for non‐manufactures. Moreover, most of the structural changes within the manufacturing sector appear to have taken the form of intra‐industry specialisation, i.e. specialisation in the differentiated products of an industry with no need to abandon entire high‐cost industries.

The purpose of this paper is to answer for questions regarding vertical specialization in the Korea’s key exporting industries, such as the changing pattern toward VS or VS1 and the changing trend in the location of slicing up the value chain in these industries.

The framework of Koopman et al. (2014) is adopted to calculate the industry-level vertical specialization indices, VS and VS1.

VS1 is a dominant type of vertical specialization in the key exporting industries of Korea. The increasing net vertical trades (VS1−VS) verifies the upward trends in the locations of slicing up the value chain in the industries empirically.

The net vertical trade (VS1−VS) of each industry is an important indicator of the location of slicing up the value chain in the environment of the international production network.

The industry-level calculations of VS and VS1 are necessary in order to remedy the aggregation bias from the country-level calculation of VS and VS1 functioning in the opposite direction.

This paper aims to explore the relationship between prudence in risk attitudes and patience of time preference of Chinese apple growers regarding off-farm cold storage of production and marketing in non-harvest seasons. The authors also consider the effect of farmer participation in cooperative-like organizations known as Farm Bases (FBs).

The authors use multiple list methods and elicitation strategies to measure Chinese apple farmers' risk attitudes and time preferences. Because these farmers can either sell their apples immediately to supermarkets or intermediaries or place them in storage, the authors assess correlations between their storage decisions and their preferences regarding risk and time. The authors also differentiate risks involving gains and losses and empirically examine individual risk attitudes in different scenarios.

Marketing decisions are moderately associated with risk attitudes but not time preference. Farmers with memberships in local farmer cooperatives are likely to speculate more in cold storage. Thus, risk aversion behavioral and psychological motives affect farmers' decision-making of cold storage and intertemporal marketing activities. However, membership in cooperatives does not always result in improved income and welfare for farmers.

The research confirms that behavioral factors may strongly drive vulnerable smallholder farmers to speculate into storage even under seasonal and uncertain marketing volatility. There is the need to think deeper about the rationale of promoting cooperatives and other agricultural forms, because imposing these without careful consideration can have negative impacts.

Do risk and time preferences affect the decision of farmers to utilize storage facilities? This question is important because it is not clear if and how risk preferences affect the tradeoff between consuming today and saving for tomorrow, especially for farmers in developing countries.

Using an original product level database, this article analyzes the nature and dynamics of Swiss specializations during the “first globalization” (1850–1913). I study the comparative advantages, as well as the evolution of the trade structure, in order to understand economic performance differences between Switzerland and France. Despite differences in terms of market size, some common trends are identified. I also argue that Switzerland's skilled labor force, along with an intelligent choice of economic policy, allowed this country to adapt its specialization structure to global demand and enjoy rapid economic growth.

This study aims to (1) identify the agricultural competitiveness of ASEAN countries in the global markets; (2) analyze the dynamics of these indicators for the period 1997–2015; and (3) test the consistency between trade indices.

The study uses RCA, RTA, and NRCA for the first objective; OLS method and Markov matrix for the second objective; and statistic tool for the final purpose.

The results show that: (1) ASEAN countries achieve the strongest competitiveness in rice, rubber, spices, vegetable fat and oils, wood, fuel wood, fish, and crustacean. Vietnam, Thailand, and Indonesia are the strongest competitive whilst Brunei, Singapore, and Cambodia are the weakest competitive; (2) They have convergent patterns in agricultural competitiveness; (3) They successfully maintain rankings of the strong competitive sectors; and (4) ASEAN countries obtain benefits from the regional integration and the specialization in competitive products.

ASEAN countries with strong competitiveness should specialize in and maintain their rankings to enhance competitiveness and maximize social welfare while the countries with weak agricultural competitiveness should specialize in the processed products and services based on their advantages of economic resources.

Comprehensive results of the static and dynamic agricultural competitiveness of ASEAN countries as a whole are provided. The findings and policy recommendations can be used by policymakers and enterprises to improve competitiveness and benefit. The discussions and findings should be a significant reference for economists.

The aim of this paper is to throw some light on Europe's competitiveness in international trade. With the exception of Krugman, who has argued that ‘concerns about competitiveness are … almost completely unfounded’ and ‘that obsession with competitiveness is not only wrong but dangerous …’ (Krugman 1994: 30); most if not all commentators hold the view that an important economic problem facing countries is one of global competition, i.e., competing in world markets. In the words of President Clinton each nation is Nov. 12 Nov. 12 “like a big corporation competing in the global market place”(quoted in Krugman 1994: 29).