DEVELOPMENT AND POVERTY REDUCTION: DO INSTITUTIONS MATTER? A STUDY ON THE IMPACT OF LOCAL INSTITUTIONS IN RURAL INDIA

The paper examines the impact of local institutions on development and poverty in the rural areas of India. Recent research on the role of institutions on the path of economic development indicates the importance of both "macro" and "micro" institutions including local institutions. The study finds a large number of both formal and informal local institutions in the surveyed villages, and a substantial degree of interaction of the households with the institutions. These include both formal institutions such as service cooperatives and dairy cooperatives, as well as informal institutions such as savings groups, community associations and labour groups. The study finds that apart from the standard factors included such as land, capital and labour, the presence and membership in local institutions plays a significant role in explaining the variation in household incomes and gain in capital assets over time. Savings/ micro-credit groups, and dairy cooperatives are found to be particularly important. Further, membership in these institutions is not found to be related to high asset levels or high caste - it is often inversely so. This indicates a stronger developmental role. Recorded opinions of the households supports the findings on the impact and beneficial role of local institutions. The study confirms that institutions do matter, and that local institutions can and do make a significant contribution in helping development in the rural areas, especially so for the lower income groups.Institutions, development, poverty reduction, International Development,

Development and Poverty Reduction: Do Institutions Matter? A Study on the Impact of Local Institutions in Rural India

The paper examines the impact of local institutions on development and poverty in the rural areas of India. Recent research on the role of institutions on the path of economic development indicates the importance of both “macro” and “micro” institutions including local institutions. The study finds a large number of both formal and informal local institutions in the surveyed villages, and a substantial degree of interaction of the households with the institutions. These include both formal institutions such as service cooperatives and dairy cooperatives, as well as informal institutions such as savings groups, community associations and labour groups. The study finds that apart from the standard factors included such as land, capital and labour, the presence and membership in local institutions plays a significant role in explaining the variation in household incomes and gain in capital assets over time. Savings/ micro-credit groups, and dairy cooperatives are found to be particularly important. Further, membership in these institutions is not found to be related to high asset levels or high caste – it is often inversely so. This indicates a stronger developmental role. Recorded opinions of the households supports the findings on the impact and beneficial role of local institutions. The study confirms that institutions do matter, and that local institutions can and do make a significant contribution in helping development in the rural areas, especially so for the lower income groups.

AGROINDUSTRY FOR RURAL AND SMALL FARMER DEVELOPMENT: ISSUES AND LESSONS FROM INDIA

This article examines the priority given to agroindustries in India in the context of their role in rural and small farmer development. The features and constraints of agroindustry are examined to assess their real and potential contribution and challenges faced. Institutional and organizational models that have been tried or proposed in India are evaluated from the point of view of performance and contribution to rural and small farmer development. The article then draws policy and managerial implicationsAgribusiness, Community/Rural/Urban Development,

Modular norm models: practical representation and analysis of contractual rights and obligations

Compliance analysis requires legal counsel but is generally unavailable in many software projects. Analysis of legal text using logic-based models can help developers understand requirements for the development and use of software-intensive systems throughout its lifecycle. We outline a practical modeling process for norms in legally binding agreements that include contractual rights and obligations. A computational norm model analyzes available rights and required duties based on the satisfiability of situations, a state of affairs, in a given scenario. Our method enables modular norm model extraction, representation, and reasoning. For norm extraction, using the theory of frame semantics, we construct two foundational norm templates for linguistic guidance. These templates correspond to Hohfeld’s concepts of claim-right and its jural correlative, duty. Each template instantiation results in a norm model, encapsulated in a modular unit which we call a super-situation that corresponds to an atomic fragment of law. For hierarchical modularity, super-situations contain a primary norm that participates in relationships with other norm models. Norm compliance values are logically derived from its related situations and propagated to the norm’s containing super-situation, which in turn participates in other super-situations. This modularity allows on-demand incremental modeling and reasoning using simpler model primitives than previous approaches. While we demonstrate the usefulness of our norm models through empirical studies with contractual statements in open source software and privacy domains, its grounding in theories of law and linguistics allows wide applicability

Open Data Standards for Open Source Software Risk Management Routines: An Examination of SPDX

As the organizational use of open source software (OSS) increases, it requires the adjustment of organizational routines to manage new OSS risk. These routines may be influenced by community-developed open data standards to explicate, analyze, and report OSS risks. Open data standards are co-created in open communities for unifying the exchange of information. The SPDX® specification is such an open data standard to explicate and share OSS risk information. The development and subsequent adoption of SPDX raises the questions of how organizations make sense of SPDX when improving their own risk management routines, and of how a community benefits from the experiential knowledge that is contributed back by organizational adopters. To explore these questions, we conducted a single case, multi-component field study, connecting with members of organizations that employed SPDX. The results of this study contribute to understanding the development and adoption of open data standards within open source environments

A Social Dimensional Cyber Threat Model with Formal Concept Analysis and Fact-Proposition Inference

Cyberspace has increasingly become a medium to express outrage, conduct protests, take revenge, spread opinions, and stir up issues. Many cyber attacks can be linked to current and historic events in the social, political, economic, and cultural (SPEC) dimensions of human conflicts in the physical world. These SPEC factors are often the root cause of many cyber attacks. Understanding the relationships between past and current SPEC events and cyber attacks can help understand and better prepare people for impending cyber attacks. The focus of this paper is to analyze these attacks in social dimensions and build a threat model based on past and current social events. A reasoning technique based on a novel combination of Formal Concept Analysis (FCA) and hierarchical fact-proposition space (FPS) inference is applied to build the model