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China’s economy is transforming at a brisk pace. A partially dismantled command economy and introduction of competition have fueled consumer demand for a greater selection of innovative new products in the retail market. The challenge for retail buyers is to adjust their procurement processes to respond to consumer needs in an efficient and effective manner. This study examines factors influencing buyer‐supplier relationships in a transition economy. We present a model to explain the factors driving retail buyer dependence on suppliers. We find that retailer evaluation of supplier credibility mediates the relationship between retailer perceptions of a supplier ability to add value to its business and the ability to achieve its desired goals. In part, this is due to the supplier’s market orientation. Interestingly, guanxi ties have no impact on the retailer perceptions of the supplier credibility, but have a positive affect on retailer dependence on its supplier partners.

The purpose of this paper is to identify the factors associated with farm financial success for those farms known to produce for local supply chains. The analysis considers alternative measures of farm financial performance and considers the role of the local foods supply chain in the choice to market locally.

The paper uses a two-stage Heckman approach which addresses the possibility of sample selection bias. In the first stage, the choice model to engage in direct marketing is estimated. In the second stage, the authors estimate a model of the financial performance of those in the sample that direct marketed which includes an IMR term calculated from the parameters of the first stage equation. The analysis uses national farm-level data from the Agricultural and Resource Management Survey of the US Department of Agriculture and combines data from 2009 to 2012 to overcome the constraint of small samples.

Indicators of the development of a local foods supply were positively related to the choice to engage in direct marketing. Factors affecting farm financial performance varied significantly between a short-term and a long-term measure. The results emphasize the importance of considering multiple outcome measures, developing local supply chains and provide implications about beginning farms.

If a local foods system is going to thrive, the farms that market the agricultural products in the local food system must attain a certain level of profitability. The value of the analysis is an improved understanding of the financial performance of farms producing for a small, but growing segment of the food supply chain.

The purpose of this paper is to use stochastic frontier analysis (SFA) to estimate the efficiency of public investments and their impact on economic growth in the USA using panel data. Results of the study show highly significant and positive relationships between gross state product (GSP) and expenditures on education, transportation, health, welfare, and public safety (police and fire), and negative but significant relationships between output and employment in health care and public safety services. Inefficiencies in the study are measured using per capita tax revenue and time. Tax revenue has a very minimal positive and significant effect on efficiency, while time inversely relates to efficiency.

The present study uses SFA to investigate the efficiency of government expenditures in five service sectors – education, transportation, health, welfare, and public safety (police and fire), using recent data and economic trends. The study hypothesizes that changes in the current levels of expenditures in the public sector have a significant impact on the aggregate economy, as measured by GSP. The study uses GSP as the dependent (output) variable, and government expenditure on the five service sectors as the independent (input) variables.

Analysis of efficiency for individual states for all 21 years produced interesting results. Overall, the technical efficiency of the public sector was quite high. The average TE score across all years and all states was 0.878. This suggests that public sector operates at a relatively high efficiency level.

The current SFA model followed Battese and Coelli approach of estimating efficiency of public sectors in each state of the USA. It allowed estimation of policy impact on the overall efficiency. It was applied to macroeconomic panel data.

Technology may produce disruptive changes and market turbulence in any industry. Organizational inertia becomes relevant as a factor that adversely affects organizational transformation; this study aims to examine how to overcome it and its consequences to firms.

The model estimation with seemingly unrelated regression and two-stage least square. The authors build a data set of years 2015–2019 from the Lima Stock Exchange firms to test the hypotheses.

In this research, using the evolutionary-ecological theory of Hannan and Freeman, the study shows the consequences of organizational inertia on marketing intensity and subsequently on firms' financial results.

This study presents an inter-functional model that links organizational behavior, marketing and finance functions, through the marketing value chain to overcome organizational inertia and create firm value.

La tecnología puede producir cambios disruptivos y turbulencias en el mercado en cualquier industria. La inercia organizacional cobra relevancia como factor que incide negativamente en la transformación organizacional; esta investigación examina cómo superarlo y sus consecuencias para las empresas.

La estimación del modelo es con regresión aparentemente no relacionada (SUR) y mínimos cuadrados de dos etapas (2SLS). Para probar las hipótesis, los autores construyen un conjunto de datos de los años 2015–2019 de firmas de la bolsa de valores de Lima.

En esta investigación, utilizando la teoría ecológica evolutiva de Hannan y Freeman, el estudio muestra las consecuencias de la inercia organizacional en la intensidad del marketing y, posteriormente, en los resultados financieros de las empresas.

Este estudio presenta un modelo interfuncional que vincula el comportamiento organizacional, las funciones de marketing y finanzas, a través de la cadena de valor del marketing para superar la inercia organizacional y crear valor para la empresa.

This paper aims to investigate the effects of the COVID-19 crisis on trade flows in Asia Pacific countries and explores the causality between COVID-19-related shocks and trade.

The authors used two novel techniques, namely, two-stage instrumental-variables (2SIV) approach and Juodis, Karavias and Sarafids (JKS) causality test, to examine trade dynamics in the Asia Pacific region during the pandemic.

Using the monthly trade data of 17 Asia Pacific countries between January 2020 and December 2021, the results were threefold. Firstly, the empirical analysis showed that during the COVID-19 crisis, the flow of exports tended to persist idiosyncratically in comparison to the flow of imports. In particular, a specific finding was that the persistence level in exports was about 20%–25% higher than that in imports. Secondly, the authors found that the past values of COVID-19 cases and COVID-19 deaths contain information that helps to predict exports/imports over and above the information contained in the past values of exports/imports alone. Finally, the study established that the government response and stringency indexes have a Granger-causal relationship with exports and imports.

For the foreseeable future, these findings have significant policy ramifications. Firstly, if a COVID-19 crisis-like situation emerges in the future, it will be critical for countries to maintain their competitiveness throughout the crisis, like the COVID-19 pandemic, while also rebuilding trade relationships wherever possible. Secondly, because information about government responses and measures can also be used to predict future trade flows, prudent management of government responses and stringent measures will be necessary in a crisis like COVID-19 to achieve the optimum level of exports and imports. At the same time, the trading partners should give up the idea of trade protection and focus on finding a way to balance the conflicting needs of imports and exports.

To the best of the authors’ knowledge, the authors, for the first time, used a 2SIV approach and JKS causality test to examine trade dynamics in the Asia Pacific region during the pandemic. In addition, the authors present the first comprehensive analysis of the evolving relationships between export and import flows and governmental policy responses under COVID-19. As a result, it contributes uniquely to both public and international economics.

Beginning farmers have unique challenges securing credit because they are less likely to have established sales and collateral for secured loans. This article explores US beginning farmers’ financing strategies relative to those of established operations, with a focus on the source of financing and debt structure (short- vs long-term usage). Agricultural operations commonly use nontraditional financing tools and strategies to start, build and/or sustain their businesses. This article provides a comparative overview of financing strategies comparing established operators to operations with only beginning operators, as well as those multigenerational operations with at least one beginning operator.

The study uses 2013–2016 USDA Agricultural Resource Management Survey data to explore how various financing patterns vary across US beginning farmers and ranchers with a particular focus on understanding differences where (1) all operators are beginning, (2) there is a mix of beginning and established operators and (3) all operators are established.

This article explores how the nature of beginning farmer status, human capital resources and alternative marketing strategies may influence financial management strategies and lead to differential use of nontraditional financing sources for beginning farmers and ranchers.

Though exploratory, the authors hope that attention to patterns among US beginning farmers and ranchers of reliance on human capital resources including off-farm income and type of beginning farm operation, nontraditional government support programs and alternative marketing strategies can provide important information as to the role of nontraditional credit in the US farm economy.

From an agency theory realm, this study aims to respond to the more recent calls to deeply analyze the indirect influence of professional shareholders, namely, institutional, blockholder and foreign owners, on the extent of compliance with International Financial Reporting Standards (IFRS) mandatory reporting requirements.

Multivariate regression analysis was applied. Moreover, quantitative static and dynamic panel data have been used. More plainly, ordinary least squares was run as a baseline estimator. Afterwards, one-step system generalized method of moment and two-stage least squares were conducted to control for the potential endogeneity dilemma. The analysis is based on a sample of nonfinancial listed firms on the Palestine Stock Exchange for the time span of 10 years, from 2010 to 2019.

After controlling for the detrimental effect of the endogeneity issue, the findings clearly reveal that the effect of the three types of professional shareholders (institutional, blockholder and foreign) on the extent of compliance with IFRS is more significant under a high proportion of independent nonexecutive directors.

To the best of the author’s knowledge, prior literature on the nexus between shareholding structure and compliance level with IFRS has restricted solely to analyzing the direct influence without casting the light on the moderation effect of independent nonexecutive directors. Hence, analyzing this sensitive configuration merits attention. In this vein, to ameliorate the compliance level with IFRS, regulators have to devote remarkable effort to updating both enforcement mechanisms and best practices of shareholding structure simultaneously.

This paper documents a robust empirical regularity: higher trade openness is associated with a lower unemployment rate. This paper also examines whether or not the effects of trade liberalisation depend on countries' income levels. Further, the dynamic causation between trade openness and unemployment is also examined.

In order to obtain insight into the openness–unemployment nexus, following empirical methods were utilised - static panel models, dynamic panel models and a novel panel Granger causality approach proposed by Juodis et al. (2021).

Results suggest that openness negatively affects unemployment; the extent to which trade liberalisation affects unemployment depends on the income level of each country. The Juodis, Karavias, and Sarafidis (JKS) test confirmed that the past values of trade openness, inflation, foreign direct investment and gross domestic product per capita contain information that helps to predict unemployment in a more robust manner. To simply put, opening upto trade may eventually become a requirement for creating more job opportunities, but this alone may not be enough. The extent to which nations benefit from trade liberalisation is largely dependent on the overall economic conditions and their capability to move up the income scale.

A major difference between this study and those performed previously is that this study does not only examine the impact of trade openness on unemployment, but also investigates whether the unemployment effect of liberalisation is affected by countries' income levels – an issue that has received little attention in the past. Additionally, the unique panel non-causality approach put forth by Juodis et al. (2021) is used in the first instance to look into the causal link between trade openness and unemployment. This method has advantages in that the method enables capturing Granger-causality in homogeneous or heterogeneous panels amongst multiple variables.

As reporting environmental, social and governance (ESG) information is not yet mandatory in all countries, it is intriguing to understand ESG’s underlying driving mechanisms. This study aims to investigate ESG determinants in the banking sector of the Middle East and North Africa countries.

The authors gather data for 38 listed banks for the period 2011–2019. The data used is threefold as follows: data related to ESG; firm-level; and country-level data. While ESG and firm’s level data are taken from Refinitiv, country-level data are extracted from the World Bank. Using panel regression, the authors test the effect of firm- and country-specific variables on the overall ESG score and its pillars.

Results indicate that banks’ ESG scores are negatively affected by performance and positively affected by size. The level of economic development exerts a negative impact on the environmental pillar while the social development exerts a positive impact on ESG and governance pillar. Corruption is the only country-level that gathers a homogenous effect on ESG scores. Finally, the three pillars follow heterogeneous patterns.

This study extends the scope of previous studies by introducing new country-level independent variables to contribute to the understanding of ESG antecedents.

The purpose of this paper is to assess the impacts of GM crop adoption on the profitability of farms operated by young and/or beginning farmers and ranchers (YBFR).

This research uses weighted quantile regression analysis in conjunction with 2004‐2006 Agricultural Resource Management Survey to evaluate the impact of GM crop adoption on financial performance of farms operated by YBFR. The methodology employed in this study corrects for the simultaneity of technology adoption and farm financial performance.

As expected, the impact of GM crop adoption on profitability is positively affected by the scale of operation and leverage. On the other hand, off‐farm employment by “beginning” farmers has a negative impact on farm's profitability if they choose to adopt GM crops. Finally, quantile regression results from a farm household study shows that the model performs better at the higher quantile of the distribution.

This study helps to determine whether the adoption of GM crops increases the profitability of farms operated by “beginning” farmers. In addition, it explores the impact of other factors (such as farm, operator, demographic, and financial characteristics) on the profitability of farms operated by “beginning” farmers.

Computing the profitability of adoption decisions for YBFR will provide significant information to YBFR that they can use in constructing their farm operations strategic business plan and future decisions regarding farming operations.

Existing research does not examine the impact of GM crops adoption on farm profitability of YBFR. Furthermore, YBFR operators face significant challenges in making their operations financially viable, owing to lack of access to capital and land.