Agri‐environmental Instruments for an Integrated Rural Policy: An Economic Analysis

Feinerman, Eli; Komen, M.H.C.

doi:10.1111/j.1477-9552.2003.tb00045.x

Cited by 12 publications

(4 citation statements)

References 21 publications

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“…In rural areas, local authorities have begun to support the development of amenities which may result in several studies conclusion that amenities (eg. Environmental amenities) are a factor of rural development (Green 2001, Deller et al 2001, Feinerman and Komen 2003, Fuller et al 2005.…”

Section: Introductionmentioning

confidence: 99%

Suburban vs. Urban Fringes Entities’ Willingness to Pay for Amenities: Empirical Research in Cracow City, Poland

Lityński¹

2020

JURA

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The aim of this paper is to estimate the value of selected amenities of infrastructure, space and public services on both sides of the cities’ administrative borders and its territorial implications. The used method is the estimation of WTP. The method was addressed to households and companies located in the district adjoining areas which are administratively not part of the city, and that are judged to be strongly characterized by the processes of suburbanization. The conclusions of the study indicate that the administrative border of the city is polarized in terms of a household economic profile. Residents of both regions express their needs for amenities and suburban residents generally estimate their value higher. While firms from both areas are not interested in improvements, the administrative border of the city does not really differentiate businesses (size, employment, wages).

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Section: Introductionmentioning

confidence: 99%

Suburban vs. Urban Fringes Entities’ Willingness to Pay for Amenities: Empirical Research in Cracow City, Poland

Lityński¹

2020

JURA

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“…Of these two policy components, AES’s have been studied widely under different perspectives in Europe since the beginning of the 1990s, including both ex ante and ex post analyses, as well as by way of papers directly addressing policy design (see, for example, Dupraz et al. , 2002; Feinerman and Komen, 2003; Bonnieux et al. , 2004; Latacz‐Lohmann, 2004; Fraser, 2009 and Quillérou and Fraser, 2010).…”

Section: Introductionmentioning

confidence: 99%

Modelling the Linkages between Cross‐Compliance and Agri‐Environmental Schemes Under Asymmetric Information

Bartolini¹,

Gallerani²,

Raggi³

et al. 2012

J Agricultural Economics

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Agri-environmental schemes (AESs) and cross-compliance (CC) are the two main components of the common agricultural policy (CAP) that address environmental issues. Under regulation 1698 ⁄ 2005, agri-environmental scheme design has been established in such a way as to use CC as the baseline against which prescriptions and payments are identified. In this framework, agri-environmental payments to farmers are justified only for the component of public goods produced (if any) above the CC prescription level. This constraint has become a major determinant of the design of agri-environmental schemes in all EU Member States in which both instruments are implemented. This paper investigates farmer participation, compliance choices and the socially optimal level of monitoring when CC and agri-environmental schemes are jointly considered, and when information about compliance is asymmetrically distributed between farmers and the public regulator. The results show that the two policy instruments interact with each other, with agri-environmental payments actually providing incentives for CC, when the CC monitoring and sanction system does not guarantee full compliance. However, the numerical example in Emilia-Romagna (Italy) demonstrates that with the present combination of controls and sanctions, farmers have very little incentive to be compliant with both cross compliance and agri-environmental schemes. Hence, the results highlight that monitoring in CC or in AES does not have the same effect on the farmers' compliance. This underscores the need for further research in this field, particularly as provision of environmental goods becomes more important in the future CAP.

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“…Feinerman and Komen pointed out that after back home to start undertaking, rural laborer's will encounter livelihood risks from three levels, and the livelihood risks encountered at this time will be more risky. e sources of risks mainly include capital, technology, and management, and further pointed out that once rural laborer's fail to start a business, they will follow the rational logic of survival to minimize the risks and make another choice of livelihood [14]. e study by Cieslik and D'Aoust found that education level, work experience, personal ability, partners, local resources, and industry threshold have a very significant impact on rural laborer's choice of entrepreneurial mode [15].…”

Section: Related Workmentioning

confidence: 99%

Analysis of the Influence of Back Home to Start Undertaking and Rural Revitalization Based on Artificial Intelligence

Chang

Liao

2022

Mobile Information Systems

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The strategy of rural revitalization is to take measures to deal with the big problem of rural decline, mainly from the aspects of developing rural economy, getting rid of poverty, and adjusting rural structure, and changing the traditional thinking of rural development when implementing policies. With the number and scale of rural laborer’s back home to start undertaking expanding continuously, it is more important to improve the quality of rural laborer’s back home to start undertaking. On the basis of analyzing the motivation and problems of rural laborer’s back home to start undertaking, this paper puts forward a risk identification model based on artificial intelligence (AI) algorithm and explores the development path of rural laborer’s back home to start undertaking under the background of rural revitalization. Through simulation experiments, the effectiveness and superiority of this algorithm are analyzed. The results show that the accuracy rate of venture risk assessment in this paper is 93.95%, and the error is 10.24% lower than that of the back propagation neural network (BPNN). It can be seen that this method has a significant effect in the analysis of the risk and influencing factors of rural laborer’s back home to start undertaking. The overall requirements of rural revitalization strategy for industrial prosperity will inevitably encourage and attract more rural laborer’s to back home to start undertaking, and “starting a business to help the poor” will become a new path for rural poverty alleviation and development in the future.

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Agri‐environmental Instruments for an Integrated Rural Policy: An Economic Analysis

Cited by 12 publications

References 21 publications

Suburban vs. Urban Fringes Entities’ Willingness to Pay for Amenities: Empirical Research in Cracow City, Poland

Suburban vs. Urban Fringes Entities’ Willingness to Pay for Amenities: Empirical Research in Cracow City, Poland

Modelling the Linkages between Cross‐Compliance and Agri‐Environmental Schemes Under Asymmetric Information

Analysis of the Influence of Back Home to Start Undertaking and Rural Revitalization Based on Artificial Intelligence

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