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The centrality of agricultural sector to the economy, particularly in developing countries, has drawn the attention of researchers to critically examine different factors determining the performance of the sector. Given that massive investment is required to ensure maximum productivity in the sector, one of the factors identified is the issue of financing. However, financing agricultural sector in a poor institutional environment can be depressing. In the light of this, the purpose of this paper is to examine the nexus between financial development and agricultural performance in Nigeria with a view to investigating the role of institutions.

The study employed annual data spanning the period from 1981 to 2016. Three indicators of financial development and five institutional variables were used. Besides, for robust analysis, the study also computed an aggregate measure of financial development and institutions using principal component method. Autoregressive distributed lag method of estimation was used to examine the short-run and long-run effects of financial development on agricultural performance in Nigeria.

The findings showed that financial development has a positive impact on agricultural performance in Nigeria. However, this positive impact is being undermined by institutional variables.

To the best of the authors’ knowledge, this is the only study that examines the mediating role of institutional factors such as the rule of law, control of corruption, etc., in the financial development–agricultural performance nexus in Nigeria.

Entrepreneurship is increasingly being recognised as a vehicle for bringing about the development of different economic sectors in various geographical regions, and it is believed to result in greater productivity and entrepreneurial performance in agriculture. To date, there are no empirically verified holistic models focussing on the development of agricultural entrepreneurship in an African context. This study aims to fill this gap by developing an agricultural entrepreneurial development model (AEDM) that provides a basis for enhancing entrepreneurial performance in the agriculture sector.

First, a holistic conceptual AEDM was built from the extant literature with a focus on the African context and encompassing dimension of the enabling environment, entrepreneurial performance and its outcomes. Then, the model was tested empirically by conducting a survey with 477 farmers in Namibia who benefit from Namibia’s National Resettlement Programme and the Affirmative Action Loan Scheme. The model was tested statistically using partial least square-structural equation modelling.

The results reveal that a supportive environment, entrepreneurial orientation and agricultural sustainability exert a positive impact on entrepreneurial performance in agriculture, which, in turn, leads to greater agricultural productivity and increased income for farmers.

The study theoretically develops and empirically tests a holistic model of agricultural entrepreneurship development. The value of the model lies in its consideration of a plethora of enabling-environment antecedents of entrepreneurial performance in agriculture, as well as some specific organisational- and individual-level outcomes thereof. Therefore, it offers policymakers and practitioners a blueprint for developing agricultural entrepreneurship in an African context.

This study aimed to investigate the impact of e-commerce capabilities on agricultural firms’ performance gains through organizational agility.

A survey was used to collect data from 280 managers of agricultural firms. The proposed model was tested via structural equation modeling.

The empirical results indicated that organizational agility plays a mediating role in conveying the positive influences of e-commerce capabilities on agricultural firms’ performance gains. Specifically, managerial, talent and technical capabilities have different effects on market capitalization and operational adjustment agility, with talent capability performing the most important role. Market capitalization and operational adjustment agility have positive impacts on financial and nonfinancial performance gains, respectively.

This study provides a new framework to understand the relationships between e-commerce capabilities, organizational agility and agricultural firms’ performance gains.

The purpose of this paper is to examine the ways of improving performance of agricultural projects through stakeholder engagement and knowledge management in a Sub-Saharan context.

Data were collected using a self-administered questionnaire from 342 agricultural projects in Mukono and Wakiso districts in Uganda. Descriptive statistics and inferential statistics were used in the analysis.

The results reveal that stakeholder engagement and knowledge management are valuable intangible resources that significantly influence performance of agricultural projects. The findings, managerial and policy implications are fully discussed in this paper.

The authors empirically show that a model that synchronizes stakeholder engagement, knowledge management and performance of agricultural projects is a requirement for promoting sustainable agricultural performance outcomes. This study makes a contribution by providing information that is relevant for filling the practical gap that exists in agricultural projects of Sub-Saharan Africa as well as contributing to the theoretical development of project management discipline.

The paper examines the nexus between agricultural exports and the performance of agricultural firms in Malaysia.

The dynamic linkage is tested by using system GMM models and the period ranges from 2002 to 2016.

The results indicate that agricultural exports affect performance positively. However, agricultural raw materials have no significant impact on performance.

The agricultural exports in relation to sectoral performance needs to be considered in the future.

The findings are important for policymakers to formulate policies that promote the agricultural sector. To put it differently, the policies may encourage investments in this sector. Also, the findings have substantial academic implications, bridging the gap between theory and empirical literature in the agricultural sector.

This work highlights the agricultural exports and their impacts on a firm's performance.

This study aims to explore the role of corporate governance (CG) characteristics on the financial performance of large agricultural companies in New Zealand. External auditor remuneration and board characteristics, such as board ownership, board compensation, board independence and board gender diversity, are addressed in the context of New Zealand’s agricultural companies by applying agency theory.

This paper uses a balanced panel data generalised least square regression analysis on 80 firm-years of observations over the period from 2012 to 2015.

Empirical analysis revealed that external auditors’ remuneration and board characteristics, such as board compensation and board independence, except for board ownership and board gender diversity, held no association with the agricultural companies’ performance. While board ownership and board gender diversity were negatively, but significantly, associated with firm performance, these results were pronounced in the listed agricultural companies rather than in the non-listed companies.

This study encountered limitations commonly associated with the majority of industry-specific studies, i.e. small sample size and lack of published financial information from databases. Therefore, for generalisation, these limitations were considered relevant.

The results of this research project are beneficial for authorities and agricultural company directors in implementing CG principles and guidelines to empower such companies in international competition. Encouraging agricultural companies to maintain a high level of transparency in financial reporting is of central interest for the government’s economic development, and stock market investors achieve a high level of transparency in non-financial disclosures, the chief objective of this study. Finally, the results of this paper may encourage auditors to scrutinise CG disclosures by agricultural companies in more detail, looking for undisclosed information.

The results of this paper may encourage managerial transparency by providing appropriate disclosures for the public benefit. Investors may benefit from the disclosure provided in their economic decision-making and the public may expand on the information disclosed in facilitating development through exports, expansion of foreign investments and the indigenous economy.

The findings contribute to the literature by providing novel and original insights into using a sample of listed and non-listed agricultural companies to extend the current understanding of the governance-performance nexus.

The purpose of this paper is to examine the impact of agricultural cooperative membership on farmers’ decisions to adopt integrated pest management (IPM) technology and to estimate the impact of IPM adoption on farm economic performance.

An endogenous switching probit model that addresses the sample selection bias issue arising from both observed and unobserved factors is used to estimate the survey data from a sample of 481 apple households in China. A treatment effects model is employed to estimate the impact of IPM adoption on apple yields, net returns and agricultural income. In order to address the potential endogeneity associated with off-farm work variable in estimating both cooperative membership choice specification and IPM adoption specifications, a control function approach is used.

The empirical results show that cooperative membership exerts a positive and significant impact on the adoption of IPM technology. In particular, farmers’ IPM adoption decision is significantly associated with household and farm-level characteristics (e.g. education, farm size and price knowledge). IPM adoption has a positive and statistically significant impact on apple yields, net returns and agricultural income.

The findings indicate that agricultural cooperatives can be a transmission route in the efforts to proliferate the adoption and diffusion of IPM technology, and increased IPM adoption tends to improve the economic performance of farm households.

Despite the widespread evidence of health and environmental benefits associated with IPM technology, the adoption rate of this technology remains significantly low. This paper provides a first attempt by investigating to what extent and how agricultural cooperative membership affects IPM adoption and how IPM adoption influences farm economic performance.

One of the challenging factors in achieving sustainable growth is the inability of the Nigerian government to diversify the country's revenue base. This study aims to investigate the relationship between cash crop financing and agricultural performance in Nigeria.

Four crops were considered, namely, cotton, cocoa, groundnut and palm oil. The impact of cash crop finance shock on agricultural performance was investigated using the vector error correction model (VECM), while the long-run relationship was examined through the identification of long-run restrictions on the VECM.

The variance decomposition showed that financing shock is more sensitive to cause variation in aggregate employment than aggregate agricultural output in palm oil, while for cocoa, cotton and groundnut showed otherwise. The long-run structural equations exert a positive relationship between cash crop financing and agricultural performance, except for oil palm and cocoa financing that has a negative connection with agrarian employment.

The study is limited to the unavailability of data for agriculture sector capital utilisation, which was not used.

These results show that long-run benefit can be maximised by appropriate funding in cotton and groundnut production to promote sustainable growth.

The study examines the impact of cash crop financing on agricultural performance with the aim to promote sustainable growth in Nigeria using identified VECM.

This study investigates the short-run and long-run impacts of agricultural credit on Vietnam's agricultural GDP over the period 2004:Q4–2016:Q4, with the incorporation of agricultural labor, public investment and rainfall as important determinants of agricultural GDP.

This study applies the indicator saturation (IS) break tests and the autoregressive distributed lag (ARDL) bounds test with structural breaks to examine the credit–agricultural performance nexus. The causal relationships among variables are explored through the Toda–Yamamoto Granger causality test.

The results indicate that agricultural credit positively influences agricultural GDP in both the short-run and long-run. A unidirectional causal relationship running from credit to agricultural GDP is confirmed. The results also discover the positive and significant effects of labor and rainfall on agricultural GDP in the long-run.

The results imply that the government should focus on expanding agricultural credit as well as enhancing the efficiency of agricultural credit. Furthermore, formal credit institutions should be encouraged to work closely with farmers and agricultural enterprises to offer flexible lending periods and amounts to meet the real situation of agricultural production.

This study is the first to examine the credit–agricultural performance relationship at the macro-level in Vietnam. Based on the empirical results, the study provides crucial implications for policymakers to optimize the effectiveness of agricultural credit and enhance nationwide agricultural performance.

Based on farm diversification's conventional and unconventional nature, the study intends to discriminate different profiles of farm diversification businesses. Furthermore, this study analyses the links between farm diversification efforts, (open) innovation networks as well as the environmental performance (EP) and financial performance (FP) of farms.

A questionnaire was administered through personal interviews with 160 fresh fruit farmers in an inland Portuguese region. Linear regression, latent class analysis (LCA) and multinomial logistic regression were used.

There are significant differences between the levels of diversification, performance and participation in (open) innovation networks of the three classes of farmers discriminated. Different types of diversification efforts and (open) innovation networks influence EP and FP, while FP and R&D projects are associated with the likelihood of being part of a farm diversification class. Moreover, this study shows that innovation networks, promoted by specialized agricultural advisors and R&D projects, are important forms of open innovation in the agricultural sector.

The study contributes to understanding the agricultural sector's diversification efforts and (open) innovation networks and their association with EP and FP. The conventional or unconventional nature of farm diversification was self-reported.

European and local institutions are advised to develop more R&D programs directed to farmers, including environmental and financial issues, besides comprising agricultural and non-agricultural diversification.

This study provides new insights to understand the association between diversification efforts, (open) innovation networks and agricultural businesses' performance.