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The purpose of this paper is to examine the role of institutional factors in agricultural structural change in the European Union (EU) using the case study of land mobility in Ireland. A range of agricultural land use options are compared in order to examine the effect of domestic and EU policy instruments on land mobility.

Using socio-economic data from the Teagasc National Farm Survey, three hypothetical farms are created using a microsimulation approach to compare incomes across farm systems and land use options. Tax and subsidy policies are applied to derive returns for the hypothetical farms under a variety of land use scenarios.

The analysis finds that in comparing four hypothetical scenarios, leasing out agricultural land on a long-term basis can prove more profitable for cattle and tillage farmers than farming the land. Only dairy farmers derive consistently higher disposable incomes from farming their land as opposed to leasing it out. Changes in CAP rules can also negatively affect farmers taking advantage of Ireland’s tax-based leasing incentives.

A gap in the literature exists in terms of how institutional factors may act to prevent either land supply or demand channels from functioning properly. This paper addresses that gap, using Ireland as a case study.

Mobility implies initial and final distributions and a transition process linking the observations of these two distributions. An inequality index describes properties of the intitial or final distribution. A mobility index describes the transition. In most cases, mobility indices have been developed using properties of transition matrices independently of the concepts of inequality and equity that may also be used in the analysis. This paper presents a new tool – the Gini index of mobility – that provides an overall consistent framework for the analysis of mobility, inequality, and horizontal equity. The theoretical concepts are illustrated empirically using panel data from rural Mexico.

The objective of this chapter is to provide an approach to the farmland abandonment problem in Galicia, the Spain’s north-western region. We describe the land use pattern that characterized the traditional agricultural system, and analyze the process of structural adjustment and changes in land use recorded in the last 50 years. The empirical basis is provided mainly by an original elaboration of agricultural census data for the period 1982–2009. The results show that in the last five decades the area devoted to crops and pastures was constrained to a small portion of the territory (just over 20%), while the agro-livestock uses of hill land which were very important up to the mid-twentieth century disappeared. All this led to a remarkable expansion of abandoned land, which currently occupies at least 20% of the regional area. The drivers of this farmland abandonment are diverse and vary from one zone to another. But among them the conditioners derived from the structure of land ownership must be emphasized, coupled with the poor functioning of the land market and leasing. Land abandonment has had a major impact on the dynamics of the agricultural sector, limiting the size of farms and causing an increasing intensification in a small portion of the territory. This has also led to severe environmental problems, especially forest fires. Consequently, improving mobility and land use should be a priority of agricultural and rural development policies in this region.

The concept of green urban mobility has emerged as one of the best approaches for promoting environmental-friendly transportation in local communities. Green urban mobility aims to reshape public transportation system and enhance mobility, with emphasis on deploying digital technologies to promote sustainable public transportation. Therefore, this study aims to analyze existing public transportation policies by exploring how local communities can facilitate green urban mobility by developing a sociotechnical urban-based mobility model highlighting key factors that impact regions transitioning toward sustainable transportation.

This study investigates “the role of data for green urban mobility policies toward sustainable public transportation in local communities” in the form of a systematic literature review and insights from Norway. Secondary data from the literature and qualitative analysis of the national transport plan document was descriptively analyzed to provide inference.

Findings from this study provides specific measures and recommendations as actions for achieving a national green mobility practice. More important, findings from this study offers evidence from the Norwegian context to support decision-makers and stakeholders on how sustainable public transportation can be achieved in local communities. In addition, findings present data-driven initiatives being put in place to promote green urban mobility to decrease the footprint from public transportation in local municipalities.

This study provides green mobility policies as mechanisms to be used to achieve a sustainable public transportation in local communities. Practically, this study advocates for the use of data to support green urban mobility for transport providers, businesses and municipalities administration by analyzing and forecasting mobility demand and supply in terms of route, cost, time, network connection and mode choice.

This study provides factors that would promote public and nonmotorized transportation and also aid toward achieving a national green urban mobility strategy. Socially, findings from this study provides evidence on specific green urban mobility measures to be adopted by stakeholders in local communities.

This study presents a sociotechnical urban-based mobility model that is positioned between the intersection of “human behavior” and “infrastructural design” grounded on the factors that influence green urban mobility policies for local communities transiting to a sustainable public transportation. Also, this study explores key factors that may influence green urban mobility policies for local communities toward achieving a more sustainable public transportation leading to a more inclusive, equitable and accessible urban environment.

Smart cities are an attempt to recognize the pioneering projects designed to make the cities livable, sustainable, functional and viable. The purpose of this paper is to evaluate funding released by the government city wise and sources available for finance for the development of the smart cities. The impact of fund released by the government for the development of smart cities (Chandigarh, Karnal, Faridabad, Pune, Chennai, Ahmedabad, Kanpur, Delhi, Lucknow and Agra) in India has been studied in detail. Urbanization is a continuous process, which is taking place throughout the globe, especially in developing countries like India.

The research is descriptive in nature. The sources of funding for smart cities in India have been taken into consideration, and χ² test of independence has been employed to study the impact of fund released by the government for smart city development in India by using IBM SPSS.

The total investment, area-based projects, pan-city initiatives and O&M costs for smart cities ranged between Rs 133,368 and Rs 203,979 lakh crores, Rs 105,621 and Rs 163,138 lakh crores, Rs 26,141 and Rs 38,840 lakh crores, and Rs 1,604 and Rs 1,999 lakh crores, respectively, in the year 2016 (for 60 smart cities) to 2017 (for 99 smart cities), which shows an increasing trend. The investment in retrofitting projects, redevelopment projects, greenfield projects and area-based projects ranged between Rs 94,419 and Rs 131,003 lakh crores, Rs 8,247 and Rs 23,119 lakh crores, Rs 2,955 and Rs 8,986 lakh crores, and Rs 105,621 and Rs 163,138 lakh crores, respectively, in the year 2016 (60 smart cities) to 2017 (99 smart cities), which shows the division of projects funding for smart city development in India. The funding released for smart city development such as other sources, loans from the financial institution, private investment, convergence, state government share funding and Central Government Funding ranged between Rs 14,828 and Rs 15,930 lakh crores, Rs 7,775 and Rs 9,795 lakh crores, Rs 30,858 and Rs 43,622 lakh crores, Rs 25,726 and Rs 43,088 lakh crores, Rs 27,260 and Rs 45,695 lakh crores, and Rs 29,207 and Rs 47,858 lakh crores, respectively, in the year 2016 (60 smart cities) to 2017 (99 smart cities), which reflects the different sources of funding for the development of smart cities in India. The χ² test of independence has been applied, which shows that there is no impact of fund released by the government on cities for smart city development in India as the p-values of Chandigarh (0.213), Karnal (0.199), Faridabad (0.213), Pune (0.199), Chennai (0.213), Ahmadabad (0.199), Kanpur (0.199), Delhi (0.199), Kolkata, Lucknow (0.213) and Agra (0.199) are greater than 0.05.

For the Smart Cities Mission to be financially sustainable, the right policy and institutional framework should be implemented for modernization and aggregation of government landholding. Consolidation of all the landholdings under the smart city project should be properly implemented, and the role of private sectors should be encouraged for public‒private partnership projects to make Smart City Mission more successful.

The benefits of smart cities development will help provide affordable, cleaner and greener housing infrastructure for all, especially the inclusive group of developers belonging to the lower middle-income strata of India, and the benefits will be replicated when adopted on a smaller scale in the rural part of the country.

The research paper is original and χ² test has been used to study the impact of fund released by the government for smart city development in India.

The smart city paradigm has evolved from a perspective focused on technological infrastructures to an approach in which the effects of the technological apparatus improve the quality of life of people, urban resilience, urban sustainability, and health, by introducing the concept of smart and sustainable city 3.0. In this chapter, the authors evaluate mobility as a key aspect of improving the environmental, social, and economic well-being of communities under the central concept of smart and sustainable city 3.0. To this end, the authors underline the link between mobility, the Sustainable Urban Mobility Plans (SUMP), and environmental health. Then, the authors outline (i) the mobility requirements to be met from a smart perspective on environmental health and how (ii) the SUMPs can be considered as the basic tool for connecting smartness with mobility and environmental health. Finally, the results obtained will be discussed, and future directions of this research will be illustrated.