scholarly journals The impact of geographical indications on farm incomes in the EU olives and wine sector

2021 ◽  
Vol 123 (13) ◽  
pp. 579-598
Author(s):  
Kathrin Poetschki ◽  
Jack Peerlings ◽  
Liesbeth Dries
Keyword(s):  
Geographical Indications ◽  
Switching Regression ◽  
Data Network ◽  
Content Type ◽  
Farm Accountancy Data Network ◽  
Wine Sector ◽  
Farm Performance ◽  
On Farm ◽  
The Impact ◽  
The Eu

PurposeGeographical indications (GIs) are expected to stimulate rural development by increasing the viability and resilience of farms in disadvantaged and remote areas. However, little quantitative evidence exists to support this expectation. This study fills this knowledge gap by quantitatively analyzing the effect of GI adoption on farm incomes in the EU olives and wine sectors.Design/methodology/approachThe analysis uses data from the Farm Accountancy Data Network and EUROSTAT and an endogenous switching regression model to analyze the impact of GI adoption on farm incomes for specialized quality wine and olives producers in the year 2014.FindingsThe results show that GI adoption significantly improves farm incomes in both the olives and the wine sector.Research limitations/implicationsThe research uses data from the farm accountancy data network (FADN). This is seen as a limitation of the analysis. The research raises some concerns about the appropriateness of FADN for the assessment of farmers' involvement in food quality schemes and a reconsideration of FADN as a tool for farm performance analysis is advised.Originality/valueThis is one of few quantitative studies of the impact of geographical indications on farm performance. Furthermore, it gives insights into the mechanisms by which GI can affect farm incomes.

Does the Contract Type Matter? Impact of Marketing and Production Contracts on Cashew Farmers’ Farm Performance in Ghana

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Caroline Dubbert ◽  
Awudu Abdulai
Keyword(s):  
Driving Forces ◽  
Smallholder Farmers ◽  
Spot Markets ◽  
Switching Regression ◽  
Farm Productivity ◽  
Production Contracts ◽  
Marketing Contracts ◽  
On Farm ◽  
The Impact ◽  
Substantial Heterogeneity

Abstract Many studies show that participation in contract farming has positive impacts on farm productivity and incomes. Most of the literature, however, does not take into account that contracts vary in their specifications, making empirical evidence scarce on the diverse impacts of different types of contracts. In this study, we investigate the driving forces of participation in marketing and production contracts, relative to spot markets. We also study the extent to which different contract types add additional benefits to smallholder farmers, using recent survey data of 389 cashew farmers in Ghana. To account for selection bias arising from observed and unobserved factors, we apply a multinomial endogenous switching regression method and implement a counterfactual analysis. The empirical results demonstrate that farmers who participate in production contracts obtain significantly higher cashew yields, cashew net revenues, and are more food secure compared to spot market farmers. We also find substantial heterogeneity in the impact of marketing and production contracts across scale of operation. Small sized farms that participate in production contracts tend to benefit the most. Marketing contracts, however, do not appear to benefit cashew farmers.

Government failures and non-performing loans in European countries: a spatial approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ferdinando Ofria ◽  
Massimo Mucciardi
Keyword(s):  
Public Debt ◽  
Geographically Weighted Regression ◽  
European Countries ◽  
Weighted Regression ◽  
Second Step ◽  
Ols Regression ◽  
Content Type ◽  
The Impact ◽  
The Relationship ◽  
The Eu

PurposeThe purpose is to analyze the spatially varying impacts of corruption and public debt as % of GDP (proxies of government failures) on non-performing loans (NPLs) in European countries; comparing two periods: one prior to the crisis of 2007 and another one after that. The authors first modeled the NPLs with an ordinary lest square (OLS) regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the authors utilized the geographically weighted regression (GWR) to explore regional variations in the relationship between NPLs and the proxies of “Government failures”.Design/methodology/approachThe authors first modeled the NPL with an OLS regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the author utilized the Geographically Weighted Regression (GWR) (Fotheringham et al., 2002) to explore regional variations in the relationship between NPLs and proxies of “Government failures” (corruption and public debt as % of GDP).FindingsThe results confirm that corruption and public debt as % of GDP, after the crisis of 2007, have affected significantly on NPLs of the EU countries and the following countries neighboring the EU: Switzerland, Iceland, Norway, Montenegro, and Turkey.Originality/valueIn a spatial prospective, unprecedented in the literature, this research focused on the impact of corruption and public debt as % of GDP on NPLs in European countries. The positive correlation, as expected, between public debt and NPLs highlights that fiscal problems in Eurozone countries have led to an important rise of problem loans. The impact of institutional corruption on NPLs reports that the higher the corruption, the higher is the level of NPLs.

Capital and credit constraints in the engagement of youth in Ghanaian agriculture

2019 ◽  
Vol 80 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Monica Owusu Acheampong
Keyword(s):  
Positive Impact ◽  
Credit Constraints ◽  
Rural Youth ◽  
Unique Contribution ◽  
Switching Regression ◽  
Credit Constraint ◽  
Data Set ◽  
Content Type ◽  
Application Procedure ◽  
The Impact

Purpose The purpose of this paper is to determine the factors influencing rural youth farmers’ credit constraints status and the effect of credit constraint on the intensity of participation of these farmers in Ghana. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2018 from the Brong Ahafo region in Ghana. The sample data set consists of 450 rural youth farmers. The collected data were analyzed through different econometric techniques, using the endogenous switching regression model (ERSM). Findings The direct elicitation approach employed in this study revealed that out of the 450 farmers, 211 (47 percent) of the respondents were credit constrained compared to 239 (53 percent) of their counterparts who were unconstrained. The ERSM indicated that youth farmers education, age, savings, parents occupation reduced the probability of the rural youth farmer to be credit constrained but cumbersome loan application procedure and loan disbursement time positively affect credit constraint. Moreover, farmers that are credit constrained have lower intensity of participation in agriculture activities than a random farmer from the sample. This suggests that access to credit has a positive impact on the intensity of participation in agriculture activities. Research limitations/implications In this study, only rural youth farmers in a particular region were considered. However, there are youths all over the nation. Therefore, future researchers could consider other youth’s farmers elsewhere in the country. Originality/value Although existing studies have examined rural youth farmers’ participation in agriculture and credit constraint separately, the unique contribution of this paper is the analysis of credit constraint of rural youth farmers as well as the impact of credit constraint on the intensity of participation in agriculture activities.

Pushed out or pulled in? Participation in non-farm activities in rural China

2017 ◽  
Vol 9 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Yuanxiang Liu
Keyword(s):  
Rural China ◽  
Rural Households ◽  
Household Survey ◽  
Switching Regression ◽  
Content Type ◽  
Income Gap ◽  
Income Differential ◽  
Farm Production ◽  
Commercial Farming ◽  
The Impact

Purpose The purpose of this paper is to identify the determinants of China’s rural households’ non-farm participation. The authors pay special attention to the effect of potential income differential on this participation. Design/methodology/approach The data used in this study come from a household survey conducted in Hubei Province. The authors estimate participation equation and income equation, respectively, then introduce potential income differential simulated in participation equation to examine its effect on non-farm participation. Findings Potential income differential serves as the major pull factor that favors non-farm participation. Education, proximity to a city and specialized commercial farming are crucial in helping rural households to participate in non-farm production; while the land shortage or the labor surplus act as the push factor in non-farm participation. Better quality of land reduces the household’s propensity to participate in non-farm activities. Moreover, the income gap between households that participate in non-farm activities and pure farmers is mainly determined by the differences in household characteristics. Originality/value The authors use the method of “switching regression and structural probit” to examine the impact of potential income differential on non-farm participation, and simulate the response of the participation probability to the change of potential income differential. The authors also analyze the sources of income gap between non-farm and farm households using Oaxaca decomposition.

European transport industry deregulation

2019 ◽  
Vol 42 (9) ◽  
pp. 1095-1115 ◽  
Author(s):  
Ioannis Koliousis ◽  
Dongmei Cao ◽  
Panagiotis Koliousis
Keyword(s):  
Transport Sector ◽  
Operating Efficiency ◽  
Empirical Examination ◽  
Member States ◽  
Content Type ◽  
Managerial Efficiency ◽  
Eu Member States ◽  
Transport Industry ◽  
The Impact ◽  
The Eu

Purpose This paper aims to examine the impact of deregulation on the European transport industry in the form of privatization, on the managerial efficiency of a panel of deregulated transport companies. Design/methodology/approach This research examines a data set of 25 deregulated transport companies from a sample of 12 EU nations from 1988 to 2015. Some studies have analyzed deregulation by using non-parametric models. However, only a limited number of studies focus on the impact of deregulation on the managerial efficiency. This study answers two questions: whether deregulation, in the form of privatization, in the transport sector has any effect on the managerial efficiency, on the profitability and on the investment decisions of the firm, and whether this premise is robust enough across the European transport industry. This study formulates a multivariate regression framework utilizing data from major privatized European transport companies. The final panel includes 25 companies, from 12 EU - Member States for the period 1988-2015, equaling 375 firm-year observations based on a rigorous selection methodology. Findings The study confirms that transport companies, post-privatization, are more efficient regarding operating efficiency and profitability. The authors find no evidence that deregulation improves investment efficiency. Social implications The study addresses the regulators’ dilemma, whether to deregulate, by focusing on analyzing the improvement of the managerial efficiency. Originality/value This study contributes to the transport industry management literature in three ways. First, the authors update the literature of the economic theory of regulation with an empirical examination which covers the latest years across the EU Member States. Second, the authors introduce a comparison of the effects of deregulation on different components of the managerial efficiency, namely, investment, profitability and operating efficiency of the incumbents in the EU transport industry. Third, they examine deregulation by using two approaches: a traditional one where deregulation is a dummy variable assessing the overall effect on incumbents’ efficiency performance; and a novel approach where the Organisation for Economic Co-operation and Development’s deregulation index is used to measure the regulation intensity, accounting also for industry-wide impact assessment. This two-sided approach increases the robustness of the results.

scholarly journals The regulations of shipping conferences in Taiwan referring to the EU to repeal the block exemption for liner conferences

2019 ◽  
Vol 4 (4) ◽  
pp. 365-394
Author(s):  
Rong-Her Chiu
Keyword(s):  
Strategic Alliances ◽  
Questionnaire Survey ◽  
Market Competition ◽  
Academic Research ◽  
Deep Understanding ◽  
The European Union ◽  
Content Type ◽  
The Usa ◽  
The Impact ◽  
The Eu

Purpose The first well-known liner shipping conference was created for the UK/Calcutta trade in 1875. However, the European Union (EU) decided to abolish repeal the liner conferences system with effect from October 18 2008. This paper aims to study the governing regulations on shipping conferences in Taiwan along with investigating the impact on the EU to repeal conferences. The regulation on liner conferences in the USA is also briefly referred. Design/methodology/approach Literature review and questionnaire survey are used to conduct the study. This paper reviews important literature relating to the EU to repeal the conferences system and its impact on liner market competition to/from European trade routes, with discussions on the US and Taiwan regulations on shipping conferences. Questionnaire survey data, collected from published report and this research present shippers’ and carriers’ responses on the changes of regulations on liner conferences. Findings Shippers are strongly supporting the repeal of the conferences system. Academic research results basically reveal that the liner market will be more competitive in the trades to/from the USA and the EU after the repeal of the conferences. For Taiwan, its regulations are rather simple and loosely control over the liner conferences; therefore, if the shipping administration intends to enhance the inspection of the agreements of conferences and strategic alliances, more detailed regulations should be prepared, and the provisions of the EU or USA would be a good reference. Practical implications Through the discussions on the legal treatments of shipping conferences from the USA, the EU and Taiwan perspectives, this paper provides shipping researchers with not only a clear evolution of the liner conferences but also a deep understanding of the impact to repeal the conferences on liner market competition. Originality/value This paper reviews important literature and related legislations on liner conferences including the USA, the EU and Taiwan. The different responses on the EU to repeal the conferences system from shippers and carriers are discussed. The impact on liner market competition is presented.

scholarly journals Medium Term Analysis of Technical and Allocative Efficiency in Romanian Farms Using FADN Dataset

2017 ◽  
Vol 74 (1) ◽  
pp. 83
Author(s):  
Nicola GALLUZZO
Keyword(s):  
Technical Efficiency ◽  
New Technologies ◽  
Allocative Efficiency ◽  
The European Union ◽  
Data Network ◽  
Rural Space ◽  
Annual Survey ◽  
Farm Accountancy Data Network ◽  
Agricultural Areas ◽  
The Impact

The Farm Accountancy Data Network is an annual survey proposed by the European Union in order to estimate the impact of the Common Agricultural Policy on farmers. Lots of scholars have investigated the technical, economical and allocative efficiency using a non parametric approach such as the Data Envelopment Analysis (DEA) in Romanian farms throughout the Farm Accountancy Data Network dataset pointing out poor levels of technical efficiency, which were lower than the average European value. The purpose of this study was to assess using DEA approach technical, economic and allocative efficiency in Romanian farms part of the FADN dataset over six year time from 2007 to 2012. Findings pointed out an increase of technical efficiency compared to previous studies, as a consequence of a significant turn over of a younger high skill and qualified farmers generation. Poor land capital, in terms of utilized agricultural areas, connected to an increase of new technologies, was the downside of Romanian farms and this implied that the National Rural Development Plan should  have taken into account financial subsides in order to implement agricultural areas scattered in Romanian rural space. 

The impact of land renting-in on farm productivity: evidence from maize production in China

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tongwei Qiu ◽  
Qinying He ◽  
S.T. Boris Choy ◽  
Yifei Li ◽  
Biliang Luo
Keyword(s):  
Least Squares Method ◽  
Chinese Government ◽  
Maize Production ◽  
Content Type ◽  
Farm Productivity ◽  
The Government ◽  
Low Efficiency ◽  
Land Size ◽  
On Farm ◽  
The Impact

PurposeThis study investigates the effect of renting in land on farm productivity, and the impacts of rented-in land size and transaction partner type on farm productivity.Design/methodology/approachData from the 2015 China Household Finance Survey are analyzed using an extended regression model and the two-stage least squares method.FindingsFarm households that rent in land are likely to achieve higher farm productivity, and ignoring endogeneity underestimates the positive effect of land renting-in. Further evidence indicates that rented-in land size has an insignificant impact on farm productivity, and that there is no difference in farm productivity between lessees renting-in land from acquaintances and those renting-in land from non-acquaintances. These results may be caused by the higher degree of marketization of land rentals between acquaintances in China. With increasing competition in agricultural factor markets, in theory, rented-in land size should not affect farm productivity.Practical implicationsOverall, the analysis suggests that renting in land improves farm productivity, which supports the land transfer policies that have been rolled out in recent decades in China. However, our finding that rented land size does not affect farm productivity, consistent with the results in the literature, implies that the Chinese government should no longer subsidize or prefer large farms with low productivity. More attention should be paid to small lessees and market-oriented land rentals between acquaintances. Promoting the marketization of land transfers inside acquaintance networks could realize the potential of the land market, especially if land transfers decrease.Originality/valueThis study identifies the effects of renting in land, rented-in land size and type of rental transaction partner on farm productivity using nationally representative data. The findings imply that the government should pay more attention to the marketization of land rentals between acquaintances. Although existing studies regard land rental between acquaintances as informal and of low efficiency, the recent evidence shows that China's land markets are changing, and policy makers should adjust their policies accordingly.

The price of cider: empirical analysis in Québec province

2019 ◽  
Vol 122 (1) ◽  
pp. 87-98 ◽  
Author(s):  
J. François Outreville ◽  
Eric Le Fur
Keyword(s):  
Design Methodology ◽  
Percent Level ◽  
Region Of Origin ◽  
Content Type ◽  
Production Factors ◽  
Wine Sector ◽  
Main Factors ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to investigate the main factors and mechanisms that govern the price of cider, and to apply the analysis to the price of ciders in the Province of Québec, Canada. Design/methodology/approach The analysis is following the methodology applied to the determinants of the price of wine. A model for the price of cider is estimated with 70 prices representing five regions and five types of products. Findings The analysis is limited to one geographical factor, i.e. the region of origin and factors related to the producer, i.e. the age and the size of the firm. The results conclude on the importance of geographical factors related to the region of origin. The relationship between the price of ciders and the region of origin is statistically significant at the 1 percent level for two regions and shows a high premium for ciders produced in these two regions. Production factors related to the age and the size of the production unit although showing the expected sign are not statistically significant to conclude on the impact. There is a small premium for producing effervescent cider compared to still or rosé cider but the most statistically significant results at a 1 percent level are for ice ciders and fortified ciders which are two typical products from Québec. Research limitations/implications The analysis has important potential implications on the role of certification of origin. Cider regions in Québec, Canada have recently defined quality standards applied to specialties like Ice cider and Fire ciders. The choice of high quality products is reflected in the premium associated to the price of these products. Originality/value Contrary to the wine sector, there is a lack of research and literature on the determinants of the price of ciders. This study is the first to propose a pricing model to examine some of the determinants of prices.

Economic impact of data localization in five selected African countries

2018 ◽  
Vol 20 (4) ◽  
pp. 337-357
Author(s):  
Mona Farid Badran
Keyword(s):  
South Africa ◽  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Research Paper ◽  
Policy Recommendations ◽  
African Countries ◽  
Content Type ◽  
Cross Border ◽  
The Impact ◽  
The Eu

Purpose The purpose of this study is to quantify the impact of laws and regulations that govern the cross-border flow of data on the economies of five selected African countries, namely, Egypt, Morocco, South Africa, Kenya and Mauritius. Moreover, this study addresses the state of cloud computing in Africa. Finally, policy recommendations are provided in this respect. Design/methodology/approach To reach accurate finding the Global Trade Analysis Project (GTAP) data was used, and then the computable general equilibrium (CGE) was computed to estimate the total cost on the economy. Using the three data regulations linkages indexes (DRLs), the increased administrative cost effect was analyzed on five to six major economic sectors in the target countries. This was followed by estimating the loss in sector-wide total factor productivity (TFP) (for the five to six shortlisted sectors). Using this data, the computable general equilibrium model (CGE) was computed, in order to estimate the economy-wide impact. Based on these findings, a set of recommendations were offered to the policy maker, reflecting the obtained results and conclusions and their implications on drafting data-related policies. Findings The obtained data indexes reveal that Mauritius is the country with the most laws and regulations governing the cross border flow of data, followed by South Africa Egypt to a lesser extent and finally Morocco and Kenya both showing an obvious lack of data regulations. The small value of the estimated elasticity of the selected countries compared to the value of the estimated elasticity in the EU-0.347 shows that the impact of data localization is less in the selected African countries than in the other set of EU countries examined in the research paper. This is because the former has smaller economies with fewer linkages to the global economy and are less reliant on sectors that are heavy users of data. Thus, the overall impact of data localization was not as profound on TFP as is the case in advanced economies. This research paper arrives at the conclusion that fighting the trend of data localization is crucial. In fact, data localization hinders the necessary and essential role of global trade in realizing economic development. Specifically, this is evident in the increase in production costs as reflected in the increase of the prices of goods, which would lead to a decline in incomes. Originality/value Global studies looked at the impact of data localization on the EU, as well as China, India, Korea and Vietnam, providing some data on Asia Pacific. However, no study has ever been conducted on the Middle East and Africa. This study aims to fill this gap. The approach of this study is to capture the extent of data localization mandates encoded in the laws of each of the selected five African countries showing how these mandates govern their cross-border data flow and, in turn, affect their economies. Furthermore, the policy recommendations section of this research paper makes a contribution to the existing literature.

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