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While the peer effects of technology adoption are well established, few studies have considered the variation in peer effects resulting from the mutual proximity between leaders and followers and the heterogeneity of farmers' learning technology. This study addresses the gap in the literature by analyzing the peer effects of technology adoption among Chinese farmers.

Drawing on a government-led soil testing and formulated fertilization program, this study uses survey data of farmers from three Chinese provinces to examine the peer effects of technology adoption. This study uses a probit model to examine how mutual proximity influences peer effects and their heterogeneity. Accordingly, farmers were divided into two groups, namely small- and large-scale farmers, and then into leaders or followers depending on whether they were selected by the government as model farmers.

Both small- and large-scale farmers are more likely to use formula fertilizer if their peers do so. However, a large-scale farmer is more likely to adopt formula fertilizer if the average adoption behavior of other large-scale model (leader) farmers is higher, while a small-scale farmer is more likely to adopt formula fertilizer if other small-scale non-model (follower) farmers have higher average adoption behavior. Moreover, the peer effect was weakened by geographic distance among small-scale farmers and by economic distance among large-scale farmers.

This study elucidates the means of optimizing social learning and technology adoption among farmers.

In this chapter, we analyzed the effects of internationalization on innovation, productivity, and firm performance among multinational pharmaceutical companies as representatives of a global knowledge-based industry. The empirical analysis used multiple stepwise regressions based on a sample of 149 firms headquartered in Europe and the US. The results indicate that innovation outcomes are positively correlated to the number of foreign subsidiaries (scope internationalization), whereas surprisingly, formal research and development (R&D) does not seem to directly influence innovation. This suggests that the firms benefit from local overseas subsidiaries to create and implement new innovative offerings. The number of foreign subsidiaries has a U-shaped relationship to patent productivity suggesting that firms can gain advantages by locating cost-intensive activities in low-cost countries and critical tasks in advanced market locations. Firm performance has a U-shaped relationship to sales abroad (scale internationalization) and the relationship is further enhanced by a high focus on R&D. This suggests that sales abroad enable scale economies, where R&D improves quality and relevance of products and thereby boosts performance. Finally, to validate the findings we conducted two semi-structured interviews with representative industry experts and gained further insights for an extended interpretation of results.

The purpose of this paper is to analyze the effects of scaling on the impact ionization and subthreshold current in submicron MOSFETs.

The effects of the various scaling techniques on a 100 nm device performances and the dependence of subthreshold current parameters on applied scaling technique are analyzed.

The results show that as the channel length is scaled down, multiplication factor increases slowly in the higher regime and rises rapidly in the lower regime of channel length. This result also justifies the inclusion of impact‐ionization effect on subthreshold current. The analysis shows that there is insignificant dependence of multiplication factor on the method of scaling. Similar variations in subthreshold current with channel length scaling have been observed in the analytical results for different scaling techniques.

The paper offers insight into the challenges of MOSFET scaling.

The purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.

This study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.

The results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.

This study has several shortcomings, such as very low R² and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.

The government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.

As Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.

The productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.

To examine the effects of urbanization and industrial concentration on the propensity of firms to export, and to determine whether these aspects of geography affect smaller firms differently than larger ones.

Based on expectations from economic geography and organizational learning theories, logistic regression was used to assess the effects of firm size, urbanization and industrial concentration on the export choices of 43,707 manufacturing firms located in the Southeastern USA.

Results indicate that geography affects choices to export, and that these choices differ with firm size. The smallest manufacturers (fewer than 20 employees) were most likely to export from urban areas and in concentrated industrial sectors. Industry‐specific differences were also found.

Results from the Southeastern USA are consistent with findings from China, though caution should be used in generalizing from these findings. The findings suggest that both internal and external scale economies must be considered in order to understand the export success of small firms.

These findings suggest that factors external to the firm affect the learning and decision process of smaller firms in very different ways than larger firms. Small firms are more dependent on their geographic environments than larger firms, when engaging the global economy.

This is the first paper to examine the simultaneous effects of internal and external scale economies on the propensity of firms (and particularly small firms) to engage in export activities.

Organizational performance improves through several channels, including changes in efficiency, innovation and technological change. Most of the extant research has focused on overall performance, often measured by partial measures of productivity, with little attention given to the components of performance. The aim of this paper is to analyze the impact of HR practices and unionization on one important channel – organization efficiency - as measured by technical and scale efficiency. Using French industry survey data, the paper shows that HR practices do influence efficiency, but this is moderated by the existence of unions. The results show a rather complex set of associations. We find robust results that show that in France, HR practices have a positive effect on scale efficiency but this effect is dampened in the presence of unions. On their own, HR practices have no effect on technical efficiency. However, some of the results suggest that HR practices can exert a positive influence when combined with unions.

This chapter investigates how international trade affects pollution using annual data from 34 Asian countries for the period 1970–2019. Following the work of Antweiler, Copeland, and Taylor (2001), the authors divide the impact into three effects – scale, technique, and composition effects. The scale of economic activity drives pollution demand. The technique effect reflects increased willingness to bear the costs of abating pollution as a country gets more prosperous because of increased international trade. International trade changes the composition of output in a country and therefore the level of pollution as different goods are produced with different pollution intensities. This is called the composition effect. This chapter measures pollution using carbon dioxide emissions (metric tons per capita) obtained from the United States Energy Information Administration. This study estimates a regression model that provides estimates of the magnitudes of trade’s impact on pollution as per the aforesaid three effects. The authors find that the scale and the composition effects of pollution are positive, but the technique effect is negative, and that the net effect is negative (international trade leads to a lower level of emission) when the underlying model is linear, but it is positive (international trade leads to a higher level of emission when non-linearities are considered).

Multiattribute ratings of country‐image are commonly obtained to study the influence of country‐of‐origin on product preference and purchase decisions. Usually, such ratings are obtained for products made in different countries in order to make comparisons across countries. However, recent research evidence indicates that, when individual respondents rate multiple entities (e.g., multiple countries), the ratings of a particular country can be affected by the other “contextual” countries included in the questionnaire. The purpose of this study is to examine, via a controlled experiment, the issue of measurement context effects in the measurement of country images. The hypotheses tested concern the stability of attribute‐based and entity‐based country image scaling and potential methods of reducing the vulnerability of multi‐entity scaling to entity context ‐‐ the use of an anchor entity and an insulator question set to increase country image measurement stability.

This paper aims to examine whether order and scale of market entry influence a new product's market and financial performance, and how marketing and R&D resources strengthen or weaken these effects.

Through a mail survey, data were collected on a sample of 136 product launches by Spanish manufacturing firms. A moderated hierarchical regression analysis enabled the assessment of the relevance of order and scale as well as their interactions with marketing and R&D resources to explain a product's competitive position. Moreover, a mediation analysis allowed us to determine whether market entry strategy (indirectly) affects financial performance.

The analyses show that pioneering firms and those entering the market with a full‐scale launch achieve advantages in terms of competitive position, and that this variable mediates the relationship of order and scale with profitability. The empirical results also reveal that such advantages are conditioned by the availability of marketing and R&D resources.

The decisions regarding order and scale of market entry are contingent. Managers involved in the planning of a new product launch should be knowledgeable about their firm's resources and capabilities before determining when and how to enter the market.

Many papers study the effects of order‐of‐entry on market share, but other dimensions of a new product launch strategy, such as scale, have largely been ignored. The research examines the effects of both variables on competitive position and profitability. This is also one of the first studies that explores the moderating effect exerted by resources and capabilities in the launch strategy‐performance relationship.

Finance is crucial to boosting agricultural development in developing countries. This paper aims to investigate the effects of rural formal and informal financial access on agricultural technical efficiency (TE) in China.

Based on the survey data of demonstrative family farms in Langxi county, Anhui province and Wuhan city, Hubei province in central China in 2017, this research assesses agricultural TE by using a three-stage DEA model. It adopts the tobit model to evaluate the effects of formal and informal financial access on TE, and to explore the heterogeneous effects by types, management states and scales. It uses the OLS regression and PSM method to check the robustness, and applies the IV-Tobit method to solve the endogeneity. The authors apply the mediation effect model to explore the channels through which financial access impacts TE.

Family farms' average TE reaches 13.9%, which shows much room for improvement under the given technical conditions and constant inputs. The research confirms the advantage of formal financial access in raising TE relative to informal financial access. The heterogeneous analysis documents more prominent effects of formal financial access on enhancing TE of aquaculture, hybrid, demonstration and large farms. The mediating effect model reveals that the enhancing TE effect of formal financial access derives from improved machinery investment and family labor division rather than land circulation.

The research clarifies finance into formal and informal finance. The results have considerable policy implications for rural financial policies in China.