eChapters

7.1. People’s Participation in Observation, Analysis and Planning for Rural Development

Why should people participate?

There is no controversy as to whether there should be people’s participation in the development programmes in the development programmes designed to meet the basic needs of the people. The post-mortem of any unsuccessful programmes has shown that they have invariably failed when they failed to provide an adequate place and importance to people’s participation in the planning and analysis.

There is a body of philosophy and a set of assumptions behind people’s participation in rural development. These are;

i) It should be people’s programme with government’s participation;

ii) Community needs to build up their own capacity, agents have got a catalytic role;

iii) Self- imposed changes have got permanence as compared to those imposed from outsides

iv) Holistic approaches are far better than the fragmented approaches;

v) People need certain help to solve unique problems;

Statistics as a wide subject is used in almost all disciplines especially in research studies. Statistics provides scientific tools for representative data collection, appropriate data analysis and summarization of data and inferential procedure for drawing valid conclusion in the face of uncertainty. Each and every researcher should have some knowledge in Statistics and must use statistical tools in his or her research, one should know about the importance of statistical tools and how to use them in their research or survey. The quality assurance of the work must be dealt with: the statistical operations necessary to control and verify the analytical procedures as well as the resulting data making mistakes in analytical work is unavoidable. The emergence of statistical software in the twenty-first century has helped different researchers in the physical and social science to improve in the quality of research. Most renowned researchers in adopting this software in their data analysis have been able to identify the immense contribution to research findings (Adetola, 2013). Any quantitative research cannot be done effectively without Statistical Software. Moreover, it enables research data for easy presentation. It helps professionals to interact with data thereby paving way for creativity and innovation. Some are user friendly interface with drop-down tips for beginners (ATS, Ucla Edu, 2014). Advances in technology have improved all our lives (Akindutire, 2013) and has allowed experts greater freedom to come out with results within a twinkle of an eye than ever before where it takes time to finish analysis. This same technology has offer tremendous opportunity to research and keep research as a more interesting field of study. This study is significant, because it is an attempt to measure the direct impact of different statistical software on research analysis.

A linear programming problem aims to maximize or minimize a linear function subject to the linear constraints. But in many cases, the objective function may not be linear or all/some of the constraints may not be linear or both the objective and the constraints may not be linear. Such an optimization problem is called a nonlinear programming problem (NLPP). In this chapter, we discuss about NLPP’s. Nonlinear programming is the process of solving an optimization problemdefined by a system of equalities and inequalities, collectively termed constraints, over a set of unknown real variables, along with an objective function to be maximized or minimized, where some of the constraints or the objective function are nonlinear. It is the sub-field of mathematical optimization that deals with problems that are not linear. A typical non-convex problem is that of optimizing transportation costs by selection from a set of transportation methods, one or more of which exhibit economies of scale, with various connectivity and capacity constraints. An example would be petroleum product transport given a selection or combination of pipeline, rail tanker, road tanker, river barge. Owing to economic batch size the cost functions may have discontinuities in addition to smooth changes. In experimental science, some simple data analysis (such as fitting a spectrum with a sum of peaks of known location and shape but unknown magnitude) can be done with linear methods, but in general these problems, also, are nonlinear.

Multivariate analysis is essentially the statistical process of simultaneously analyzing multiple independent variables with multiple dependent (outcome or criterion) variables using matrix algebra. During the last two or three decades, multivariate statistical analysis has become increasingly popular. The theory has made great progress, and with the rapid advances in computer technology, routine applications of multivariate statistical methods are implemented in several statistical software packages. The traditional approach to the teaching of multivariate statistical analysis, as exemplified by Anderson (1958), relies heavily on advanced matrix mathematics. On the other hand, Hury and Riedwyl (1988) suggest that it is possible to understand most of the basic ideas underlying multivariate statistical analysis without a mastery of such mathematics, provided that these are conveyed with the help of real data sets. In this chapter we propose a non-mathematical data-driven approach for teaching multivariate statistical methods to students. Despite this, we are mindful of the need for students to know some basic linear algebra and univariate statistical concepts. Such basic knowledge provides students with the foundation necessary for the application of the appropriate multivariate statistical procedures and for the interpretation of results.

In statistics, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population. Each observation measures one or more properties (such as weight, location, colour) of observable bodies distinguished as independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

The sampling process comprises several stages

• Defining the population of concern

• Specifying a sampling frame, a set of items or events possible to measure

• Specifying a sampling method for selecting items or events from the frame

• Determining the sample size

• Implementing the sampling plan

• Sampling and data collecting

Statistics is a branch of science which deals with the collection, classification, description and interpretation of data obtained by conducting surveys and experiments. The essential purpose of it is to describe and draw valid inferences about numerical properties of populations” (Ferguson 1966). The experience in statistics application indicates that a single statistical method can be used in different research areas for dealing with different types of problems. Various possibilities which application of a statistical method provides in certain research areas should be considered as an adequate way of dealing with a problem of the research. However, it should be noted that statistics is not a method by which it is possible to solve all the problems in a research. Nachmias and Nachmias (2009) stated that there are basically two types of statistics which include descriptive and inferential statistics. Descriptive statistics enable the researcher to summarize and organize data in an effective and meaningful way. It involves the use of tables, charts, graphs, mean, modes, median, standard scores and correlation to treat collected data. Inferential statistics is concerned with making inferences from a unit of a population. Inferential statistics is concerned with making inferences from a unit of a population. Inferential statistics allow the researcher to make decisions or inferences by interpreting data patterns. Researchers use inferential statistics to determine whether an expected pattern designated by the theory and hypotheses is actually found in the observations. To decide whether this hypothesis is true, researchers might survey the respondents and then use descriptive statistics to make comparison between these groups and would employ inferential statistics to determine whether the differences between the groups are significant or not.

1.1. Introduction

Research in simple terms refers to search for knowledge. It is a scientific and systematic search for information on a particular topic or issue. It is also known as the art of scientific investigation. Several social scientists have defined research in different ways.

In the Encyclopaedia of Social Sciences, D. Slesinger and M. Stephenson (1930) defined research as “the manipulation of things, concepts or symbols for the purpose of generalizing to extend, correct or verify knowledge, whether that knowledge aids in the construction of theory or in the practice of an art”. According to Redman and Mory (1923), research is a “systematized effort to gain new knowledge”. It is an academic activity and therefore the term should be used in a technical sense. According to Clifford Woody (Kothari, 1988), research comprises “defining and redefining problems, formulating hypotheses or suggested solutions; collecting, organizing and evaluating data; making deductions and reaching conclusions; and finally, carefully testing the conclusions to determine whether they fit the formulated hypotheses”

The land is one of the basic natural resources for agricultural growth and development of a country. Investment on agricultural land improvement by way of land leveling, contour bunding, sinking of well for irrigation and resorting to other measures like treating the soil to reduce acidity etc. have been continuous effort of agriculturists for increasing productivity.In addition, new variety of seeds which are high yielding and pest resistant are sought after by farmers for increasing production. Efficient land management encompassing soil and water conservation is the building block for sustainable agricultural development.

Land tenure rules define the ways in which property rights to land are allocated, transferred, used, or managed in a particular society. Ownership of land plays a significant role for improvement of land and its management. If the land is tenanted,the tiller of the land has less stake on long term measures on land.For centuries, the land tenure system in India was based on intermediaries known as Zamindary system.In Odisha, the tenurial system has based on the Bengal Rents Act, the Bengal Tenancy Act, the Bihar & Orissa Tenancy Act and finally, the Orissa Tenancy Act.In addition, theCentral Province Tenancy Act and the Central Province Land Revenue Act were in vogue in the Sambalpur district when the Orissa province was formed. Further, theGanjam district was under the Madras Estates Land Act(MELA). All these laws defined and classified the tenurial system.If one examines the OT Act one would find series of intermediaries between the proprietor and actual tiller of land.Tenure-holders had under-tenure holders. Raiyats had under-Raiyats. Tenants also inducted sub-tenants.

1. Introduction

India’s horticulture sector stands as a beacon of promise and potential within the agricultural landscape, showcasing a rich diversity of fruits, vegetables, tubers, spices, flowers, medicinal and ornamental plants as well as herbs. This sector provides livelihoods for millions of farmers and plays a crucial role in ensuring food security and nutritional well-being. Amidst the challenges posed by climate change and environmental degradation, the resilience of horticultural crops becomes increasingly significant. Diversifying towards resilient crops and sustainable practices not only mitigates risks but also enhances the sector’s adaptability to changing climatic conditions. Investment in research and development to breed climate-resilient varieties and promote agroecological approaches is imperative. Furthermore, promoting organic and niche horticulture products presents exciting opportunities for Indian farmers to capture premium markets both domestically and internationally. With growing consumer awareness and demand for healthy and nutritionally rich food, India’s horticulture sector is well-positioned to become a global leader in organic and exotic produce.The recent trend of exploring new crops within Indian horticulture promises to diversify farmers’ income sources and address emerging challenges such as climate change and shifting consumer preferences.

1. Introduction

The National Agroforestry Policy of India is a comprehensive policy framework designed to improve agricultural livelihoods by maximizing agricultural productivity including animal productivity along with tree cover and mitigating climate change. The Government of India launched the policy in February 2014 during the World Congress on Agroforestry, held in Delhi. The focus of the policy is to address Agroforestry, which is an integrated system of practicing agriculture, livestock farming and forest activities on the same unit of land, storing high carbon, there by mitigating climate change. Agroforestry systems have the potential to be more beneficial than traditional agriculture and forest production practices. They may be able to give enhanced productivity, as well as social, economic, and environmental advantages, as well as a broader variety of ecological products and services. It’s important to remember that these advantages are contingent on appropriate farm management. In 2014 India became the first nation in the world to adopt an inter-sectoral policy on agroforestry, which seeks to identify the bottlenecks in expansion on agroforestry in the country and pathways to remove the constraints in a systematic manner.

1. Introduction

India is a land of great diversities in terms of people, culture, languages and the style of living, among many other varied characteristics in the country. Based on the climatic, geographical, and cultural features, the country is broadly divided into six zones - the Northern, Southern, Eastern, Western zone, Central and the North-Eastern zone. Eastern zone comprises Bihar, Jharkhand, West Bengal, Odisha, Chhattisgarh, Assam and eastern UP (27districts of UP). This document exclusively focuses on the four states namely Bihar, Jharkhand, Odisha and West Bengal in the Eastern Zone with an attempt to look into the bottlenecks inhibiting the rural development of the zone.The f inancial institutions for agriculture in India was developed with the purpose of financing the needy farmers and providing them the facilities to increase the efficiency of agriculture. As a result, NABARD was formed in 1982. Thus, it was developed as an apex bank to help and support the agriculture section in India.This chapter seeks to evaluate the role of various financial institutions which play a major role in raising the standard of living of nearly one-fourth of India’s population in the eastern region of our vast country.

Introduction

Challenges in agriculture and natural resource management in the past have prompted changes in agricultural education, research, and extension globally. The sustainable development of agriculture in a country largely depends on the effectiveness of its agricultural extension strategies, encompassing approaches, service delivery, methodology, and processes. The desired outcome of agricultural development is farmers’ outcomes, achievable through engagement, learning, and participation in research and extension processes. Agricultural extension played a significant role in the green revolution by providing farming communities with appropriate technologies and optimal cropping practices. This helped countries transition from being food deficit to food exporting (Ratnakar, 2016). Additionally, extension services play a crucial role in expanding knowledge, skills, and attitudes about the management of socio-economic-agricultural practices by understanding the existing techno political ecosystem and exploring a basket of technology alternatives for making informed decisions.

Women Folk: A Precious Resource

India’s ancient history ascribes a divine status to women. Laxmi, Durga and Saraswati are the three great goddesses of Prosperity, Power and Wisdom respectively. The ancient scriptures declared that ‘God lives where women are worshipped’. However, a multitude of derogatory attributes have been ascribed to women in the post-vedic period. According to Manu, “a woman must never be independent. In childhood, she must be subject to her father, in youth to her husband, and when her lord is dead, to her sons”. The passive role of women, unfortunately thus visualized, later guided the future course of action leading to their present status of backwardness in general and neglect in the streams of development and scientific arena in particular.

The term ‘gender’ was first used by Ann Oakley and others in 1970s to describe the characteristics of men and women which are socially determined in contrast to biological differences. The term ‘gender’ further explains, a neutral term meaning either men or women or both in a particular context. The goal is to improve the status of disadvantaged class and get rid of socially created and approved discriminations. The green revolution in India changed the face of agriculture but apparently it contributed to two general trends (FAO, 1996) where wealthy have benefited more from technological change in agriculture than the less well off andsecondly men have benefited more than women.

1. Introduction

Poultry industry in India stands out as a major success story. It’s phenomenal that India’s poultry production whichstarted justas a backyard venture before 1960s, has shaped up into a proven agribusiness, where its annual turnover exceeds Rs 30,000 crores. Current global ranking of India is that of number three, in terms of egg production (behind China [1st] and USA [2nd]), and of18th position in Broiler production. Today, Poultry is one of the fastest growing industries of the agricultural sector in India at present. The annual growth of broilers and egg production is 8-10% compared to 1-2% for production of agricultural crops [3].

Poultry production forms an important Agrarian Avenue providing valuable animal proteins for the fast-growing human population of the developing India, with promises of additional income to small and marginal farmers.Rural and backyard poultry farming is very common among landless and marginal farmer families in India and is a rewarding source of additional income. It involves low investment with high returns which can be easily operated by women, children and elder members of the farm families. Poor households generate good income through backyard poultry farming which provides meat and egg rich in protein and energy. Agriculture including animal husbandry provides 30-40% employment in terms of man/woman days in a year. Scarcity of land holdings, land fragmentation and seasonal agriculture aresome of the reasons that crop production only is unable to provide cent percent employment to the rural youths (men and women).

1. Introduction

Cattle are one of the important livestock species of the country which forms an integral part of Indian agriculture since ages. Human progress depends on the utilisation of animals and natural resources in a balanced way. Cow, in particular, is considered as a part of the family in India. Cattle have been of the utmost importance for the sustenance of agriculture, nutrition supply and religious practices in India. Frequent references on cattle farming are found in Indian mythological books and historical writings regarding their utilization in agriculture as draught power, milk production and source of manure. Approximately 200 million Indians are involved in livestock farming, including around 100 million dairy farmers. Roughly 80% of bovines in the country are low on productivity and are reared by small and marginal farmers. Most of the local cows are managed on a low input and low output system for production of milk for the household nutritional requirement and sale surplus milk to dairy co-operatives or local milk sellers. Poor genetic makeup of Indian livestock is the main reason for their lower productivity as compared to the recorded potential of animals in temperate climate. With the change in food consumption pattern due to urbanization, increase in health awareness, reduced requirement of draught animal power due to mechanisation, etc., the demand for milk and milk products have increased many folds.

1. Introduction

India has 536.76 million livestock as per 20th Livestock Census 2019. Livestock plays a vital role in improving the socio-economic conditions of rural masses especially for landless and marginal farmers; as well as an important role in the national economy. Livestock production and agriculture are closely related and vital for the overall food security. Agriculture diversification through animal husbandry is one of the primary factors of growth in rural incomes. A higher public investment in livestock sector is the need of the hour for doubling farmers’ income. Future economic growth would have to come from improvements in animal productivity. India is bestowed with a great degree of livestock biodiversity which can be elucidated in hosting more than 200 breeds across all the species. Along with producing A2 milk, desi cattle are renowned for withstanding heat, illness resistance, immunity to ticks and parasites and low maintenance requirements. The various indigenous breeds of agricultural animals are mostly the consequence of evolutionary processes. They were improved through field progeny testing & selection. Conservation and propagation of most precious high producing elite buffalo germplasm though the cloning technique is the contribution of the scientists to the buffalo rearing farmers of the country. The Indian Jamunapari goat is one of the ancestors of the American Nubian. Goat milk is an excellent source of vitamin A, is high in digestible protein, contains significantly lower levels of alpha-S1-casein, contains slightly less lactose, and has more non-digestible carbohydrates than cows’ milk.

1. Introduction

Fish forms an integral component of the Indian food basket and it is more so for the population living in the eastern and north eastern States of India. The eastern states of India include States such as West Bengal, Bihar, Jharkhand and Odisha. As per a current estimate of 2023 (https://www.indiacensus.net), approximately a population of 31.66 crore, i.e. 22.15% of the country’s total, live in these four States. Due to the suitable geographical terrain, these states have been bestowed upon a large number of riverine stretches, a large number of natural reservoirs of varied sizes, beels and floodplain wetlands, and a huge plain terrain supporting ponds and tank resources. Due to the very nature of the land and the popularity of fish among the populace, these eastern Indian states have also served as the main stage for the development of fisheries and aquaculture during the last centuries in the country. Further, many of the epoch making technologies for the development of fisheries in the inland waters as well as aquaculture in the ponds have originated from this region.

1. Introduction

The agricultural sector plays a pivotal role in driving economic development in India, a nation with a population of 1.39 billion, making it the world’s second most populous country according to the United Nations’ World Population Prospects 2019. With 54.6 percent of the workforce engaged in agriculture as per the 2011 Census, and contributing 18.6 percent to the Gross Value Added (GVA) in 2021-22, its significance cannot be overstated. Notably, women play a substantial role in this sector, with rural females exhibiting a higher workforce participation rate of 41.8 percent compared to 35.31 percent for urban women (MoSPI, 2017). In rural communities, agriculture and allied sector is the primary source of livelihood that includes 80 percent of all economically active women, out of which 33 percent constitute agricultural labour force and 48 percent are self-employed farmers. Rural women are engaged at all levels of the agricultural value chain; i.e., production- pre-harvest, post-harvest, processing, packaging, marketing to increase productivity in agriculture (Nilam Patel etal, 2022). As per Pingali et al. (2019), the ratio of women to men working in the agricultural sector has increased over the time and made a greater amount of contribution to GDP per capita. They are the momentous demographic group for a sustainable food system (FAO, 2011). Empowering women in agriculture through reforms aimed at ensuring equal access to resources, skill development, and opportunities is projected to increase agricultural output in developing countries by 2.5 to 4 percent (FAO, 2011).

The systematic identification, evaluation, and integration of the body of published work produced by researchers, scholars, and practitioners is achieved through a rigorous and repeatable method called the review of the literature. It acts as a comprehensive resource, incorporating the most recent information, important discoveries, and theoretical breakthroughs linked to a certain field. The literature review is a useful compilation of important discoveries as well as methodological and theoretical contributions within a certain topic that is frequently seen in academic and scholarly journals.

In all academic areas, the review of literature is a crucial component of research. Its main goal is to assess, evaluate, and make links between our findings and previous research on a particular subject of interest. In addition, the literature review acts as a point of reference and offers helpful insights in the following ways:

i. Approaches

ii. Methods

iii. Variables

The study, which was conducted for nature and dynamics of farm ecology in occupational migration in some areas of West Bengal with the stipulated objectives, the following course of action can be considered in future while conduction repeating study.

• Gender dimensions on occupational migration is the future research area.

• Educational issues for families on transit could have been a very interesting area of research.

• Climate refuge; that is migration due to climate change can be an important area of research.

• Application of data analytics could be effective for modelling and simulation on occupational migration.

• The social ecology of migration itself, is a zone of future research.