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Indian textiles have a history of fine craftsmanship, and because of that, it has its own global appeal and international demand. India has its own extensive base of raw material and manufacturing. This makes India the second-largest textile exporter in the world after China. India's share in the global textiles and apparels trade was approximately 5% in 2017. In 2017, India's textile industry contributes 7% of total industry output and employs about 45 million people directly. Its contribution to the country's GDP and export earnings in the same year was 2% and 15%, respectively. With this backdrop, the present chapter aims to investigate twin objectives. Initially, the changing growth pattern of India's readymade garment export is investigated. Along with this, the impacts of trade openness on India's readymade garment export are also scrutinized. The entire study is conducted based on the secondary data, compiled from the various issues of “Handbook of Statistics on Indian Economy,” published by “Reverse Bank of India.” The data are compiled for the period 1987–1988 to 2018–2019. The investigation of the first objective is facilitated by the “Poirer's Spline function approach.” On the contrary, for the exploration of the second objective, we have calculated the “trade openness index.” It is measured as the sum of export and import as a percentage of GDP. The study concludes that the Indian readymade garment industry shows a declining growth rate and the industry is benefited from trade openness. The study ends with suitable policy prescriptions.

India is one of the largest tea producers and consumers in the world. Around 70% of Indian tea is consumed by domestic consumers. The world famous Darjeeling and Assam tea are India’s pride. Once India was the top exporter of tea in the global market, currently, it is lagging behind China, Kenya, and Sri Lanka. In the global arena, Indian tea is facing stiff competition from China, Kenya, and Sri Lanka. With this backdrop, the present study aims to investigate twin objectives. First, the changing growth pattern of India’s tea export is investigated. Along with this, the impacts of trade openness on India’s tea export are also scrutinized. The entire study is conducted based on the secondary data, compiled from the various issues of Handbook of Statistics on Indian Economy published by Reserve Bank of India. The data are compiled for the period 1987–1988 to 2018–2019. The investigation of the first objective is facilitated by the Poirer’s Spline function approach. On the contrary, for the exploration of the second objective, we have calculated the “trade openness index.” The study concludes that initially with trade openness Indian tea industry was benefitting but the growth rate of tea export gets reduced over time. It is surprising that in the post-EXIM-2002–2007 phase the rate of growth of India’s tea exports has declined sharply. The study ends with suitable policy prescriptions.

This paper gives a model of collusion formation and a method of measuring the degree of it among the traders/bidders in the agricultural commodity markets in India. The important assumption is that the bidding is repetitive with a set of common bidders. The theory has been derived based on the behavior of the wholesale market of agricultural commodities in India. The paper is based on full information in the collusion formation. The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The paper used the standard theory of optimization and the theory of auction and probability statistics.

This is a complete information model of cartel formation. The bidding is repetitive and continues forever in discrete time. Hence bidders behavior is observable. Using the proposed method, if the APMC measures for each market and publishes on a periodic basis, say weekly basis, then it will be easier to break the collusion in the market where relative collision is present. For example, if a farmer has three options to sell in three different markets, then the published data would help them to select the market where the degree of collusion is relatively lower. Moreover, the undesirable loss can be avoided based on the right choice of market. As a result, transaction costs will be optima.

The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The fiscal outlay efficiency matters when the performance-based allocation of funds is made to state governments by the central government in a federal structure of an economy like India. Also the efficiency cannon of public expenditure is a key aspect in the field of public economics. Thus, a study to evaluate the efficiency in fiscal outlay of Indian states has been conducted.

The paper offers a three divisions–based paradigm under Network Data Envelopment Analysis framework to compare the performance of fiscal entities (say Indian state governments) in converting available fiscal resources into desired short-run and long-run growth and development objectives. The network efficiency score has been taken as a measure of the quality of fiscal outlay management that is trifurcated into divisional efficiencies representing budgeting process, fiscal outlay efficiency process and fiscal outlay effectiveness process.

It has been noticed that the states are under performing in achieving short-run growth targets and so the efficiency process division has been identified a major source of fiscal under performance. Suboptimum allocation of fiscal expenditure under various heads within the fiscal resources, as explained under budgeting process, is another major cause of fiscal under performance.

The study purposes a three divisions–based paradigm that takes into account efficiency of a state in (1) planning budget, (2) achieving short-run growth targets and (3) achieving long-run development targets. These three stages are named as budgeting process efficiency, fiscal outlay efficiency and fiscal outlay effectiveness, respectively. Therefore, a new paradigm called BEE paradigm is proposed to evaluate performance of fiscal entities in terms of fiscal outlay efficiency.

In existing literature on measuring efficiency of public expenditure, the public sector outputs have been made as function of fiscal expenditure as input treating the said outlay as an exogenous variable. In present context, the fiscal expenditure has been treated endogenous to the budgeting process. A high inefficiency on account of budgeting process supports this treatment too.