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Ports are a significant link in a global supply chain and an economic entity that contributes to the country's economy. India has around 200 ports along its coastline of about 8,000 Km, yet none of them perform at par with many Asian ports. In the Indian port system, cargo throughput and the turnaround time (TAT) of ships calling at ports constitute the most significant performance measures. These performance metrics do not integrate sustainability measures such as emission levels and energy consumed. The draft is a constraint in many ports and ships visit with less than full shipload cargo. The TAT for such vessels may be lower, but the emission per ton of cargo carried is higher compared to a ship with full shipload cargo. Many ports have old or poorly maintained equipment. This state of equipment increases pollution and consumption of energy. In this paper, an attempt has been made to address the issue of undesirable and right outputs simultaneously in an Indian port system. This paper proposes a framework to ensure zero defects in Indian port operations and a port-sustainability-index to measure sustainable services in Indian ports.

The authors used data envelopment analysis (DEA) to show that all private terminals did not perform efficiently and contradicted the notion of Indian policymakers that privatization will lead to an increase in performance levels. A literature review was carried out to identify the dimensions and factors that affect ports' performance. A case study of a major port in India and expert group discussion was done to ascertain the views of stakeholders on deficiencies in the system. The authors complemented this approach with sentiment analysis of opinions expressed by stakeholders over a while, using SentiStrength analysis software (Thelwell, 2010, 2012). The authors used the combined findings to develop the port-sustainability-index (PSI), identify the research question, and develop an ontology of the port system. The authors use the concepts of ontology-design-pattern (ODP) and logistics-service-map (Glöckner et al., 2014; Glöckner and Ludwig, 2016, 2017), opinion mining (Pang and Lee, 2008) and competency questions (Glöckner and Ludwig, 2017) to develop a port system map followed by the identification of critical elements; and the flows (physical and information flow) that gets disrupted due to defects in the system. The ontology led to the identification of competencies and capabilities a port needs to possess. Based on these identification process competency questions were drawn, and the authors identified the plausible defects that port may encounter. The authors suggested the sustainability metrics for monitoring port performance and policy changes based on the competency questions, defects, and mitigation plans.

The authors introduced four KPIs, namely, port-sustainability-index (PSI), load factor (l_x and l_y), draft ratio (d_r), and turnaround-time ratio (TATR). The authors suggested significant policy changes for Indian ports. These included –(1) Introduction of virtual arrival (VA) policy, reducing randomness in the system by pre-scheduling arrivals and activities. (2) Redefining economic life of equipment and machinery in terms of expenditure, income and desired levels of output. (3) Pricing port charges based on stakeholders’ ability and willingness to pay. The port needs to declare its productivity levels and frame their charges accordingly. (4) The ports need to frame an output-oriented privatization policy where it specifies the growth of the port. (5) Framing vessel pricing policy where a vessel may pay tax for the use of non-clean fuel or a get discount for bringing higher parcel load. (6) Levy lower port charges for the shipper for transporting cargo by rail and barges. (7) Introduce a differential pricing system where port levies lower charges for export cargo compared to import load.

The research work can be extended to develop a simulation model to carry out policy experimentations concerning the improvement of performance and carry out sustainable operations. Alternatively, researchers may develop a multi-criteria optimization model to determine the best course of action, keeping the objective function as minimization of PSI value.

This paper provides the means to the Indian ports to remain competitive, lower emission levels and energy consumption, and optimize emission per ton of cargo handled in the port.

Society significantly benefits from this study as it recommends ways to minimize pollution that has a significant impact on human lives. Besides, the measures suggested in the paper will lower the cost of exports and imports, enhancing the real income of consumers.

The area of sustainable port operations has previously been under-researched in the Indian context. Authors contribute to the sustainable port operation literature by suggesting a port-sustainability-index, a framework to assess the defects in port operation and development of a port-ontology for further research in the area of a port system.

Cross border trade, involving different business environments between the sellers’ and buyers’ countries, may result in conflicts because of asymmetry in the information structure across the borders. The International Chambers of Commerce (ICC) has laid down ground rules on terms of shipment and payment, enabling harmonization and standardization of business process, and fixing of responsibilities for international trade. The international commercial (INCO) terms by ICC define the duties, obligations and cost borne by the exporter and the importer. An exporter’s uncertainty looms once the goods cross his/her border. Therefore, there is a need for a smart contract that is secured, transparent, legitimate and trustworthy. The authors propose a blockchain technology-based smart global contract (BTGC) framework for international trade.

In this paper, the authors develop the framework based on value chain analysis (VCA) of international trade and an ontology-driven-blockchain-design approach. The paper analyzes the sequence of activities in the value chain of global trade, the terms of the contract, the data structure templates, the validation rules and the points-of-failure, and proposes the smart contract blockchain structure.

This paper proposes the BTGC framework considering the INCO terms 2020; it provides the validation rules and the probability of failures; and identifies the elements that cause the halting of contracts and conditions of creation of side blockchains. The framework also includes the governance of the BTGC system.

The proposed framework not only has implications at the firm level as it automates and secures a global sale contract but also is expected to harmonize the global-trade process as well. The developers may use the attributes, data structure templates and the rules identified in this paper for developing the GC software. Future research may consider using case analysis, class diagrams and the related steps for developing the blockchain software.

This paper proposes a complete value chain of global contract (GC) concerning exports, an ontology of GC and a blockchain-based smart-contract framework based on global standards. Besides, it specifies the elements of fraud (such as the non-integration of side chains) and uncertainty, i.e. the probability of failures. Such a framework will harmonize the global-trade process and build an international standards for smart GC based on blockchain technology (ISSGCBT), which is not yet done.

The Government of India announced its liberalization policy in the year 1991. Since then, the major ports in India introduced privatization in various forms into their operations. However, the share of total traffic (cargo) handled by major ports fell from 90 per cent in 1991 to around 70 per cent in 2015, losing share to minor ports. These major ports, except for the port of Kamarajar, are governed by the Major Port Trust Act, 1961. None of the Indian ports feature amongst the top 20 ports of the world. Interestingly, several ports in Asia, namely, seven ports from China, Singapore, Hong Kong and Malaysia are on that list. Several studies and reports have shown that privatization in India did not yield the desired results. Ports in India have adopted a hybrid mode of governance, aligned between a landlord port model and a service port model. This paper aims to address the question – What is the optimal way to mix privatisation and government control in the operations of major ports of India.

In this paper, the authors attempt to develop an optimization model for port planners to decide on the optimum mix of privatized and self-managed operations so as to maintain efficiency and maximize revenue.

The model tested on a major port in the country shows that the present privatization policy followed by the port needs revision. A similar plan to revise their policies can be carried out for other major ports in the country.

The model is generic and can be used by any port in the world operating under conditions similar to those in India.

Khan Jahan Ali (KJA) Bridge was constructed to promote industrial and commercial activity and improve economic and employment activity for local people. This study assessed the post-socioeconomic and environmental impacts of KJA Bridge on the inhabitants living adjacent to 2 Km from the bridge. As there is a slum adjacent to the bridge, the bridge has impacted much on the improvement of the social economic condition and lifestyle of the slum people.

The study approached a questionnaire-based field survey data collection through interviewing the people in the surrounding areas. To assess the environmental impacts, land cover change (LCC), carbon emissions and land surface temperature (LST) data were derived from Landsat images and processed in geospatial environment.

The study suggests that after bridge construction, 84% people have new jobs and about 87% people's income level has been increased. As a tourist spot, the bridge served employment opportunities for the 12% of the inhabitants. About 83% house structures have been improved, where the percentages of pucca and semi-pucca houses increased by 11% and 23%, respectively. The frequency of school-going children and literacy rate also increased. Despite all the socioeconomic development, 7.48% agricultural, 9.75% vegetation, 1.74% waterbodies were declined. Net carbon emissions increased to 13,432.39 tons from 3,323.46 tons; average LST increased from 25.750 to 32.550°C after the bridge construction.

This study focused on descriptive statistical analysis and portrayed the impact of the bridge on social, economic and environment from a micro point of view.