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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.

To run a job guarantee public policy scheme, it is important to know the aspiration level or the reference point of labor, and accordingly, the labor hour and the wage sequence are to be prepared. The existing job guarantee schemes consider the same wage rates for all types of jobs. As a result, it is to identify the reference point. The present work aims to propose a job guarantee scheme where different types of jobs have different wage rates. The paper explains the choice problem between labor and leisure at different wage rates and proposes complete computational tools to be incorporated into the job guarantee schemes. The paper also gives a mechanism to prepare the list of jobs and corresponding wage rates by maintaining a balance between labor and leisure, where productive activities measure labor hours and labor welfare measures leisure hours. Lastly, the paper provides the analytical tools to interpret the ex-post data of the job guarantee public policy schemes.

The paper has been written based on the Coordination Game and its Welfare Implications in the job guarantee public policy schemes.

The present paper gives an initial work to measure the choice between labor and leisure for the different wage rates practically. This will help in getting the equilibrium strategies, namely, the combination of the labor hour and the wage rate between the policymaker and the labor. This method will help to implement the job guarantee schemes. For example, to run successfully the Basic Income policy, the basic income calculation should give due care; otherwise, there will be a downward trend in the basic income and the welfare of labor will be reduced, because the labor would have to supply excess labor to meet the target income.

This paper derives theories and explains how the equilibrium in this coordination game can be achieved. The paper explains how the policy of the job guarantee schemes can be practiced practically. In the MGNREGA scheme, the public institution declares different categories of jobs with different wage rates. The categories have been classified with respect to the hours required to complete the job. Therefore, the public institution declares different lists or a sequence of pairs of labor hours and wage rates. Moreover, the list is stochastic, because the list can be changed by the inclusion of an offer from the market as well. The labor has to select from the list. The challenge on the part of the public institution is to prepare the list in such a way so that the inclusion of the market offers will not distort the equilibrium of the coordination game. An important method has been proposed here to analyze the ex-post data of job offers so that the preparation of the future sequence of the job offers can be prepared with due care. One objective of the policymaker here is to make a list of job offers in such a way so that the labor supply will be converging to a point and that will not deviate if the wage rate increases further. This objective will make a balance of the distribution of funds between the existing registered labor and the new entrants into the job guarantee schemes.

Artificial intelligence (AI) has become an input to the production of goods and services. Therefore, a general question is there that “How the labor hour/human resource will be replaced by the artificial intelligence?” To answer this question, the paper considers that both AI and the human resources (HR) are the inputs to the firm and explains the choice between the two with reference to the customer relationship management. The paper derives the individual firms and the industry demand functions of the AI and the HR when both are present in the production of the identical or closely related goods and services. Moreover, the paper also shows the strategic behavior of an individual firm with the industry in selecting the AI and the HR. It has been shown that the individual firm's choice in the industry depends on the choice of the industry leader. The paper explains the supermodular game between the firms in an industry.

Game theory, industrial organization and non-convexity theories have been used in this paper to identify the choice between the HR and the AI in the customer relationship management.

The paper explains analytically the preference and demand for AI in the industry. Individual firm's strategic behavior and decision on choosing AI and the industry equilibrium have been studied logically. Moreover, the paper gives some light on the question of employment in presence of AI. The paper proves that in the presence of AI, labor demand will not be reduced but both will be used.

This work proves for the first time using some logical derivation that AI will not crowd out labor from the market. Moreover, to run AI, labor should also be used. It has been proved that to complete a job with speed and quality, both AI and HR are to be used.

To understand the new non-linear pricing in E-commerce. The present paper aims to put forth an idea of using tie-in agreement in the electronic commerce market in the name of trust in India. According to the Indian antitrust law, tie-in agreement is not allowed to use as compulsory in an offer to the buyer. This means that a tie-in agreement cannot be a compulsion or only an option to the buyer. This means it can be an extra option.

The paper shows that using this logic the sellers are giving two options simultaneously to the buyer: (1) a commodity with a tie-in agreement and (2) the same commodity without a tie-in agreement. Therefore, there are two price mechanisms that are present. Now it is the decision of the buyer to choose between the two. These two price mechanisms create a new variable called trust. If the buyer selects the first option, then that buyer will not be treated as a trustworthy buyer, but in the second case, the buyer would be treated as a trustworthy or the affianced buyer. Therefore, the buyer would be leaning toward the second option. The paper proves that in the second option it would be difficult to minimize the consumer expenditure. As a result, there would be a situation of non-linear pricing in the name of trust which is hidden in the offer. The present work gives both theoretical models and empirical justifications.

We find that E-wallet is often used when a consumer orders food online but offline cash payment is preferred. Therefore, the offer does matter for the consumer. Hence, the offer can be used to make a tie-in arrangement. Therefore, even if there is a tie-in arrangement in online food servicing applications, the Competition Commission of India can restrict such practices as for illegal tying, the firm has to have the monopoly power in one market and there should be compulsory tie-arrangement in another market. But it does not mean that E-wallet tie-arrangement cannot be ignored as the monopoly power in the online food servicing market can influence the market share in the E-wallet market. Tie-in arrangement is also important, as the consumer has to spend more under cashback offer conditions which reduce the long-run gain of consumers.

The paper considered trust as a new element in forming non-linear pricing. This is new to this literature.

This study intends to explore the impact of World Trade Organization (WTO) which came into existence from January 1, 1995, on the export share of developing counties in the world exports of all goods together in US$, that is, in global merchandise trade. This study endogenously determines the structural break in changing export share of developing countries and how are they related to the major changes in the multilateral trading systems of international trade, in particular, the introduction of the WTO by following a multiple breakpoint analysis due to Bai–­Perron. In this context, it would be worthwhile to note that the shift toward more export-oriented strategies by a large number of developing countries has accelerated the growth of LDC exports. This study also compares the changing share of merchandise exports and trade in commercial ­services for developing countries and the LDCs in the Post-WTO regime. The ­authors follow a univariate time-series exploratory analysis to understand the trend in world export shares of all goods and commercial services for different regions of the developing world and demonstrate the potential of these regions in the expansion of trade. The study, while evaluating the impact of WTO in changing export share in terms of structural change analysis, enables us to understand the role tariff cut in the developed countries on the imports from developing countries. This study also observes increasing inequality in terms of export share among different regions of the developing world.

Adoption of digital technology at different levels of economic activity is an important indicator of development. Countries are adopting digital technology at business and government levels to increase efficiency and accountability of service delivery to appropriate user groups. Many countries are using digital technology in banking, education, and many other sectors and recasting the relationship among customers, workers, and employers. The digital transformation progressively changes productivity across all sectors and industries. The empirical investigation shows that mainly the role of per capita income (state of living) and supply-side factors explain cross-country variations in Digital Adoption Index (DAI) in business using a static panel data model with fixed effect (FE) approach for 169 countries over the period 2014–2016. In this context, this study makes an attempt to understand the state of digital adoption in business across 169 countries in 2016 using World Bank data. The empirical results state that only major variable like labour force are positively and statistically significant with DAI across the countries. Although there are caveats that the International Monetary Fund has made about the digital economy, they state that we should think carefully about how to devise policies that will allow us to fully exploit the digital revolution’s benefits while minimizing job dislocation.

The economic growth of any country depends largely on the entrance to international capital inflows, that is, external investment and its optimum allotment to components of different economic sectors. In several ways, foreign direct investment (FDI) helps by creating employment opportunities and rapid economic growth in emerging countries through capital flows in the developed countries and under developed countries. Many factors are affecting the FDI inflows in emerging countries among such determinants environmental issues are play a crucial role. Pollution control, air cleaner, water cleanness, etc., are the part of the environmental regulation in any country. Carbon dioxide (CO₂) emission and sulphur dioxide (SO₂) emission are major components of air pollution that have been widely used in empirical studies. The study intends to explore the impact of environmental regulations on FDI inflows in emerging countries along with governance factors and the macroeconomic fundamentals like per capita power consumption, trade openness, per capita GDP, etc. Based on the statistical data of 15 emerging countries from 2000 to 2015, the study follows the static panel data approach to empirically find the impact of environmental issues on FDI inflows. The results reveal that significant bonding realise between environmental regulations and FDI inflows in emerging countries. Based on the statistical evaluation however best our knowledge FDI is more attractive where lower regulations are established. For sake of simplicity environmental regulations are crucial to the multinational corporations (MNCs) for investment.