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1 – 10 of over 1000
Article
Publication date: 2 January 2024

Magdalena Marczewska, Ahmed Sanaullah and Christopher Tucci

As a response to global population growth and increasing demand for food, farmers have been complementing traditional agriculture practices with vertical farming (VF) and indoor…

Abstract

Purpose

As a response to global population growth and increasing demand for food, farmers have been complementing traditional agriculture practices with vertical farming (VF) and indoor hydroponic systems. To facilitate the growth of the VF industry, this paper aims to identify business model elements and their configurations that lead to high firm performance.

Design/methodology/approach

The research goals were met by conducting literature reviews coupled with a fuzzy-set qualitative comparative analysis (fsQCA) on five business model elements, “superior” OR “strong” performance as two possible outcomes, and the top-ranked global VF growers listed in the Crunchbase Database.

Findings

From the fsQCA results, it was observed that several business model configurations lead to strong firm performance. Vertical farms growing in urban settings and having strong customer engagement platforms, coupled with a presence of business-to-business (B2B) sales channels, are more consistently associated with superior performance. These results imply that the decision configuration of location, along with customer engagement activity and sales activity are differentiating factors between good firm performance and superior firm performance in the case of vertical farms.

Originality/value

This paper contributes to expanding the knowledge of business model theory, business model configurations and VF management, providing specific guidelines for vertical farm owners and investors related to decision-making for higher firm performance, as well as positive environmental, social and economic impact.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 6 September 2023

Francis Tsiboe, Jesse B. Tack, Keith Coble, Ardian Harri and Joseph Cooper

The increased availability and adoption of precision agriculture technologies has left researchers to grapple with how to best utilize the associated high-frequency large-volume…

Abstract

Purpose

The increased availability and adoption of precision agriculture technologies has left researchers to grapple with how to best utilize the associated high-frequency large-volume of data. Since the wealth of information from precision equipment can easily be aggregated in real-time, this poses an interesting question of how aggregates of high-frequency data may complement, or substitute for, publicly released periodic reports from government agencies.

Design/methodology/approach

This study utilized advances in event study and yield projection methodologies to test whether simulated weekly harvest-time yields potentially drive futures price that are significantly different from the status quo. The study employs a two-step methodology to ascertain how corn futures price reactions and price levels would have evolved if market participants had access to weekly forecasted yields. The marginal effects of new information on futures price returns are first established by exploiting the variation between news in publicly available information and price returns. Given this relationship, the study then estimates the counterfactual evolution of corn futures price attributable to new information associated with simulated weekly forecasted yields.

Findings

The results show that the market for corn exhibits only semi-strong form efficiency, as the “news” provided by the monthly Crop Production and World Agricultural Supply and Demand Estimates reports is incorporated into prices in at most two days after the release. As expected, an increase in corn yields relative to what was publicly known elicits a futures price decrease. The counterfactual analysis suggests that if weekly harvest-time yields were available to market participants, the daily corn futures price will potentially be relatively volatile during the harvest period, but the final price at the end of the harvest season will be lower.

Originality/value

The study uses simulation to show the potential evolution of corn futures price if market participants had access to weekly harvest-time yields. In doing so, the study provides insights centered around the ongoing debate regarding the economic value of USDA reports in the presence of growing information availability within the private sector.

Details

Agricultural Finance Review, vol. 83 no. 4/5
Type: Research Article
ISSN: 0002-1466

Keywords

Article
Publication date: 2 June 2023

Yun-Cih Chang, Yir-Hueih Luh and Ming-Feng Hsieh

This study investigates the economic outcomes of organic farming controlling for the four major aspects of a cropping system, including climate, genotypes, management and soil…

Abstract

Purpose

This study investigates the economic outcomes of organic farming controlling for the four major aspects of a cropping system, including climate, genotypes, management and soil. Considering possible variations in treatment responses, this study also presents empirical evidence of heterogeneous treatment effects associated with spatial agglomeration or farm covariates.

Design/methodology/approach

Rice farm households data taken from the 2015 Agriculture Census is merged with township-level seasonal weather data, crop suitability index and average income per capita in Taiwan. To address the selection bias problem, the authors apply the Probit-2SLS instrumental variable (IV) method in the binary treatment model under homogeneous and heterogeneous assumptions.

Findings

It is found that organic farming leads to a significantly positive effect on rice farms' economic performances in terms of cost reduction and profit growth. This positive treatment effect is more sizable with spatial agglomeration. Furthermore, the treatment effect of organic farming is found to vary with the farm characteristics such as farmland area and the number of hired workers.

Practical implications

Two important implications for the promotion of sustainable agri-food production are inferred: (1) establishing organic agriculture specialized zones may benefit rural development; (2) providing economic incentives to small farms to expand their scale may be a more effective policy means to promote sustainable agri-food production.

Originality/value

The findings in this study complement the body of knowledge by drawing insights from the agriculture census data and providing profound evidence of the heterogeneous outcomes of organic farming due to spatial clustering and farm covariates.

Details

British Food Journal, vol. 125 no. 12
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 16 August 2022

Abebayehu Girma Geffersa

The purpose of this paper is to measure technical efficiency and examine its determinants while disentangling unobserved time-invariant heterogeneity from actual inefficiency…

Abstract

Purpose

The purpose of this paper is to measure technical efficiency and examine its determinants while disentangling unobserved time-invariant heterogeneity from actual inefficiency using comprehensive household-level panel data.

Design/methodology/approach

This paper estimates technical efficiency based on the true random-effects stochastic production frontier estimator with a Mundlak adjustment. By utilising comprehensive panel data with 4,694 observations from 39 districts of four major maize-producing regions in Ethiopia, the author measures technical efficiency and examine its determinants while disentangling unobserved time-invariant heterogeneity from technical inefficiency. By using competing stochastic production frontier estimators, the author provides insights into the influence of farm heterogeneity on measuring farm efficiency and the subsequent impact on the ranking of farmers based on their efficiency scores.

Findings

The study results indicate that ignoring unobservable farmer heterogeneity leads to a downwards bias of technical efficiency estimates with a consequent effect on the ranking of farmers based on their efficiency scores. The mean technical efficiency score implied that about a 34% increase in maize productivity can be achieved with the current input use and technology in Ethiopia. The key determinants of the technical inefficiency of maize farmers are the age, gender and formal education level of the household head, household size, income, livestock ownership, and participation in off-farm activities.

Research limitations/implications

While the findings of this study are critical for informing policy on improving agricultural production and productivity, a few important things are worth considering in terms of the generalisability of the findings. First, the study relied on secondary data, so only a snapshot of environmental factors was accounted for in the empirical estimations. Second, there could be other sources of unmeasured potential sources of heterogeneity caused by persistent technical inefficiency and endogeneity of inputs. Third, the study is limited to one country. Therefore, future research should extend the analysis to ensure the generalisability of the empirical findings regarding the extent to which unmeasured potential sources of heterogeneity caused by persistent technical inefficiency, endogeneity of inputs and other unobservable country-specific features – such as geographical differences.

Originality/value

This paper contributes to the literature on agricultural productivity and efficiency by providing new evidence on the influence of unobservable heterogeneity in a farm efficiency analysis. While agricultural production is characterised by heterogeneous production conditions, the influence of unobservable farm heterogeneity has generally been ignored in technical efficiency estimations, particularly in the context of smallholder farming. The value of this paper comes from disentailing producer-specific random heterogeneity from the actual inefficiency.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 10
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 5 December 2023

Hui Tao, Hang Xiong, Liangzhi You and Fan Li

Smart farming technologies (SFTs) can increase yields and reduce the environmental impacts of farming by improving the efficient use of inputs. This paper is to estimate farmers'…

Abstract

Purpose

Smart farming technologies (SFTs) can increase yields and reduce the environmental impacts of farming by improving the efficient use of inputs. This paper is to estimate farmers' preference and willingness to pay (WTP) for a well-defined SFT, smart drip irrigation (SDI) technology.

Design/methodology/approach

This study conducted a discrete choice experiment (DCE) among 1,300 maize farmers in North China to understand their WTP for various functions of SDI using mixed logit (MIXL) models.

Findings

The results show that farmers have a strong preference for SDI in general and its specific functions of smart sensing and smart control. However, farmers do not have a preference for the function of region-level agronomic planning. Farmers' preferences for different functions of SDI are heterogeneous. Their preference was significantly associated with their education, experience of being village cadres and using computers, household income and holding of land and machines. Further analysis show that farmers' WTP for functions facilitated by hardware is close to the estimated prices, whereas their WTP for functions wholly or partially facilitated by software is substantially lower than the estimated prices.

Practical implications

Findings from the empirical study lead to policy implications for enhancing the design of SFTs by integrating software and hardware and optimizing agricultural extension strategies for SFTs with digital techniques such as videos.

Originality/value

This study provides initial insights into understanding farmers' preferences and WTP for specific functions of SFTs with a DCE.

Details

China Agricultural Economic Review, vol. 16 no. 1
Type: Research Article
ISSN: 1756-137X

Keywords

Article
Publication date: 27 February 2023

Ujjwal Kanti Paul

This study aims to examine the technical efficiency of the chemical-free farming system in India using a hybrid combination of data envelopment analysis (DEA) and machine learning…

Abstract

Purpose

This study aims to examine the technical efficiency of the chemical-free farming system in India using a hybrid combination of data envelopment analysis (DEA) and machine learning (ML) approaches.

Design/methodology/approach

The study used a two-stage approach. In the first stage, the efficiency scores of decision-making units’ efficiency (DMUs) are obtained using an input-oriented DEA model under the assumption of a variable return to scale. Based on these scores, the DMUs are classified into efficient and inefficient categories. The 2nd stage of analysis involves the identification of the most important predictors of efficiency using a random forest model and a generalized logistic regression model.

Findings

The results show that by using their resources efficiently, growers can reduce their inputs by 34 percent without affecting the output. Orchard's size, the proportion of land, grower's age, orchard's age and family labor are the most important determinants of efficiency. Besides, growers' main occupation and footfall of intermediaries at the farm gate also demonstrate significant influence on efficiency.

Research limitations/implications

The study used only one output and a limited set of input variables. Incorporating additional variables or dimensions like fertility of the land, climatic conditions, altitude of the land, output quality (size/taste/appearance) and per acre profitability could yield more robust results. Although pineapple is cultivated in all eight northeastern states, the data for the study has been collected from only two states. The production and marketing practices followed by the growers in the remaining six northeastern states and other parts of the country might be different. As the growers do not maintain farm records, their data might suffer from selective retrieval bias.

Practical implications

Given the rising demand for organic food, improving the efficiency of chemical-free growers will be a win-win situation for both growers and consumers. The results will aid policymakers in bringing necessary interventions to make chemical-free farming more remunerative for the growers. The business managers can act as a bridge to connect these remote growers with the market by sharing customer feedback and global best practices.

Social implications

Although many developments have happened to the DEA technique, the present study used a traditional form of DEA. Therefore, future research should combine ML techniques with more advanced versions like bootstrap and fuzzy DEA. Upcoming research should include more input and output variables to predict the efficiency of the chemical-free farming system. For instance, environmental variables, like climatic conditions, degree of competition, government support and consumers' attitude towards chemical-free food, can be examined along with farm and grower-specific variables. Future studies should also incorporate chemical-free growers from a wider geographic area. Lastly, future studies can also undertake a longitudinal estimation of efficiency and its determinants for the chemical-free farming system.

Originality/value

No prior study has used a hybrid framework to examine the performance of a chemical-free farming system.

Details

Benchmarking: An International Journal, vol. 31 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Book part
Publication date: 2 October 2023

Daniel Schiffman and Eli Goldstein

The American agricultural economist Marion Clawson advised the Israeli government during 1953–1955. Clawson, a protégé of John D. Black and Mordecai Ezekiel, criticized the…

Abstract

The American agricultural economist Marion Clawson advised the Israeli government during 1953–1955. Clawson, a protégé of John D. Black and Mordecai Ezekiel, criticized the government for ignoring economic considerations, and stated that Israel’s national goals – defense, Negev Desert irrigation, immigrant absorption via new agricultural settlements, and economic independence – were mutually contradictory. His major recommendations were to improve the realism of Israel’s agricultural plan; end expensive Negev irrigation; enlarge irrigated farms eightfold; freeze new settlements until the number of semi-developed settlements falls from 300 to 100; and limit new Negev settlements to 10 over 5–7 years. Thus, Clawson ignored political feasibility and made value judgments. Minister of Finance Levi Eshkol and Minister of Agriculture Peretz Naphtali rejected Clawson’s recommendations because they ignored Israel’s national goals. By September 1954, Clawson shifted towards greater pragmatism: He acknowledged that foreign advisors should not question the national goals or make value judgments, and sought common ground with the Ministry of Agriculture. At his initiative, he wrote Israel Agriculture 1953/54 in collaboration with the Ministry of Agriculture. Israel Agriculture was a consensus document: Clawson eschewed recommendations and accepted that the government might prioritize non-economic goals. In proposing Israel Agriculture, Clawson made a pragmatic decision to relinquish some independence for (potentially) greater influence. Ultimately, Clawson was largely unsuccessful as an advisor. Clawson’s failure was part of a general pattern: Over 1950–1985, the Israeli government always rejected foreign advisors’ recommendations unless it was facing a severe crisis.

Details

Research in the History of Economic Thought and Methodology: Including a Selection of Papers Presented at the First History of Economics Diversity Caucus Conference
Type: Book
ISBN: 978-1-80455-982-6

Keywords

Article
Publication date: 28 February 2023

Mohammad Shamsuddoha and Arch G. Woodside

Second-order system-dynamics engineering (SOSDE) involves constructing and running enterprise manufacturing simulation models with new proposals for operational processes…

Abstract

Purpose

Second-order system-dynamics engineering (SOSDE) involves constructing and running enterprise manufacturing simulation models with new proposals for operational processes, byproducts, supply chain and/or downstream marketing designs. This paper aims to describe sustainability the principal lessons from enacting SOSDE research for achieving goals in large manufacturing firms.

Design/methodology/approach

This study is a case research commentary in the agricultural industry that contributes abductively derives six principal lessons from SOSDE research on introducing sustainability-focused manufacturing and product innovations. Operational processes in large-scale poultry processing plants in an emerging market represent the specific industry and firm domain of this case study. Alternative SOSDE simulation models of decisions, materials flow and outcomes with versus without operational innovations were constructed following one-to-one interviews with experienced farm managers and entrepreneurs.

Findings

The principles demonstrate how large farms in a developing nation (i.e. Bangladesh) go about adopting radically innovative manufacturing, supply chain and marketing operations to improve traditional operations. This study confirms and expands on the general observation that SOSDE can help achieve sustainability and environmental, social and governance goals, contribute new value outcomes by converting unused production wastes into valuable byproducts and introduce design efficiencies in production, supply chain and marketing processes. SOSDE complements, while being a revolutionary departure from, “six sigma management programs” that focus on achieving exceptional and near mistake-free manufacturing operations. Both represent distinct philosophies and sets of actions that sometimes can conflict with one another. Embracing both successfully in the same enterprise is a goal that may appear unreachable, seemingly impossible to achieve and yet represents a manufacturing/marketing epitome that is observable in exceptional enterprises.

Research limitations/implications

This paper may generate controversy as well as advance interest in applying SOSDE in introductions of improved manufacturing, supply chain and marketing operations aiming to accomplish radical improvements in sustainability goals.

Practical implications

This commentary describes how using SOSDE and running alternative production simulations with versus without including superior, radically new, process innovations enable the firm to find and eliminate glitches in system changes and reduce the fear associating with breakdowns and financial losses due to inadequate knowledge of operating new industrial procedures and outcomes.

Social implications

Introductions of superior radically new innovations in industrial manufacturing and marketing via SOSDE frequently include manufacturing firms embracing new environment sustainability objectives and additional marketable byproducts from the firm's main productions lines. This commentary offers details on how this process is enacted in poultry manufacturing in an economically emerging nation.

Originality/value

Running simulations in SOSDE research offers a low-cost, fast and in-depth method to test “what-if” impacts of enhanced and radical innovations into product/service manufacturing operations – benefits supporting the recommendation to apply systems dynamics in business and industrial marketing.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 11
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 12 March 2024

Abigail Adeyonu, Dare Akerele, Mojisola Olanike Kehinde, Olugbenga Adesoji Christopher Ologbon, Oluwaremilekun Akintayo and Roseline Kolawole

Despite a reduction in poverty the global population in 2015, the incidence of poverty remains very high in Sub-Saharan African countries. Most of the countries in the region are…

Abstract

Purpose

Despite a reduction in poverty the global population in 2015, the incidence of poverty remains very high in Sub-Saharan African countries. Most of the countries in the region are agrarian, with most of their population residing in rural areas, and a majority of the poor in the region are found in Nigeria. This study examined the nexus between participation in nonfarm enterprises (NFEs) and poverty among rural farm households in Nigeria and across the six geopolitical zones.

Design/methodology/approach

The Nigerian Living Standard Survey (NLSS) conducted in 2018–2019 by the National Bureau of Statistics was used. We made use of 13,440 farm households with useful information for the purpose of this study. The sample comprises 6,885 households that participated in NFEs and 6,555 nonparticipating households. The data were analyzed with Foster, Greer, and Thorbecke (FGT) (1984) metrics, probit, and fractional probit models at p = 0.05.

Findings

The incidence of poverty was lower among the participating households than in the nonparticipating households. Participation in NFEs had a mitigating effect on poverty. We also established that zonal differentials in poverty rates exist among households in all the analyses. Participation in NFEs was influenced by individual, household, and institutional factors and was also able to explain the depth of poverty among the respondents.

Practical implications

It is suggested that poverty alleviation policies should be targeted at improving access to nonfarm economic activities by rural farm households residing in vulnerable geopolitical zones.

Originality/value

This study is the first attempt to profile household poverty based on the type of NFEs they are involved in. The study also provides an insight into the effect of the state of residence on zonal poverty models, which is expedient if the country must achieve Sustainable Development Goal 1 on the eradication of poverty everywhere.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0493

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 11 April 2023

Sarah Kayongo and Lars Mathiassen

Although microfinance (MF) has been established as an effective approach to provide access to financial services for people in low income countries, close to one-third of adults…

Abstract

Purpose

Although microfinance (MF) has been established as an effective approach to provide access to financial services for people in low income countries, close to one-third of adults worldwide, about 2 billion people, are still without access. The purpose of this study is therefore to provide knowledge on how MF institutions (MFIs) can innovate and scale their services to improve financial inclusion for more people in need, particularly small holder farmers.

Design/methodology/approach

Recent research suggests that Grameen Foundation builds on well-established MF models and focuses on continuously improving the design and increasing the reach of its services. Based on a retrospective longitudinal design, this study draws on dynamic capability theory to identify important lessons in MF innovation at Grameen through analyses of seven key agricultural MF programs.

Findings

This study finds that Grameen innovated these programs by sensing country-specific needs; seizing opportunities to use existing technology; creating linkages across multisector partners; adopting a business model that enabled replicability and sustainability of innovation transfer; and 5 integrating solutions that enabled process automation and scaling of outcomes. A key theoretical finding in applying dynamic capabilities theory to studies of innovation in MF revealed the core concepts to be transferrable, valuable, imitable and nonsubstitutable resources.

Research limitations/implications

Using these insights, this study discusses theoretical, practical and policy implications of MF innovation to improve financial inclusion in low-income countries. Practitioners and researchers should assess the transferability of our findings to other MFIs and economic development contexts.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 11
Type: Research Article
ISSN: 0885-8624

Keywords

1 – 10 of over 1000